Dissertations / Theses: 'Medical records. Medical Records'

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Chang, Jaime. "Medication concepts, records, and lists in electronic medical record systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35551.

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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2006.
Includes bibliographical references.
A well-designed implementation of medication concepts, records, and lists in an electronic medical record (EMR) system allows it to successfully perform many functions vital for the provision of quality health care. A controlled medication terminology provides the foundation for decision support services, such as duplication checking, allergy checking, and drug-drug interaction alerts. Clever modeling of medication records makes it easy to provide a history of any medication the patient is on and to generate the patient's medication list for any arbitrary point in time. Medication lists that distinguish between description and prescription and that are exportable in a standard format can play an essential role in medication reconciliation and contribute to the reduction of medication errors. At present, there is no general agreement on how to best implement medication concepts, records, and lists. The underlying implementation in an EMR often reflects the needs, culture, and history of both the developers and the local users. survey of a sample of medication terminologies (COSTAR Directory, the MDD, NDDF Plus, and RxNorm) and EMR implementations of medication records (OnCall, LMR, and the Benedum EMR) reveals the advantages and disadvantages of each. There is no medication system that would fit perfectly in every single context, but some features should strongly be considered in the development of any new system.
(cont.) A survey of a sample of medication terminologies (COSTAR Directory, the MDD, NDDF Plus, and RxNorm) and EMR implementations of medication records (OnCall, LMR, and the Benedum EMR) reveals the advantages and disadvantages of each. There is no medication system that would fit perfectly in every single context, but some features should strongly be considered in the development of any new system.
by Jaime Chang.
S.M.

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SadegiI, Nava, and Nava SadegiI. "Advances in Electronic Medical Records: Iris Medical." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625141.

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Iris Medical is a SaaS platform for EMTs and Paramedics. We have streamlined the patient care report system, allowing our users to quickly, accurately, and safely input patient information. Our application reduces the need to take an ambulance out of service. With our software, our customers will be able to cut costs and save lives by reducing the time needed to take response units out of service and by increasing the validity, speed, and accuracy of patient data input. Our tablet software is lightweight and intuitive, providing data collection and analytics tools for use in any emergency response setting G ranging from traditional ambulance units in established markets, to less developed medical operations in emerging markets. The following thesis explains Iris Medical's business plan along with a step by step lead on revenue generation and growth.

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Gregory, Judith. "Sorcerer's apprentice : creating the electronic health record, re-inventing medical records and patient care /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9992380.

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Rudin, Robert (Robert Samuel). "Making medical records more resilient." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41567.

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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 72-77).
Hurricane Katrina showed that the current methods for handling medical records are minimally resilient to large scale disasters. This research presents a preliminary model for measuring the resilience of medical records systems against public policy goals and uses the model to illuminate the current state of medical record resilience. From this analysis, three recommendations for how to make medical records more resilient are presented. The recommendations are: 1) Federal and state governments should use the preliminary resilience model introduced here as the basis for compliance requirements for electronic medical record technical architectures. 2) Regional Health Information Organizations (RHIOs) should consider offering services in disaster management to healthcare organizations. This will help RHIOs create sustainable business models. 3) Storage companies should consider developing distributed storage solutions based on Distributed Hash Table (DHT) technology for medical record storage. Distributed storage would alleviate public concerns over privacy with centralized storage of medical records. Empirical evidence is presented demonstrating the performance of DHT technology using a prototype medical record system.
by Robert Rudin.
S.M.

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Domańska, Jeżyna. "Rethinking interfaces to medical records." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-372066.

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Ba-Dhfari, Thamer Omer Faraj. "Hypothesis formulation in medical records space." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/hypothesis-formulation-in-medical-records-space(cfbc207f-89df-49f4-988b-d5c0204b84c5).html.

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Patient medical records are a valuable resource that can be used for many purposes including managing and planning for future health needs as well as clinical research. Health databases such as the clinical practice research datalink (CPRD) and many other similar initiatives can provide researchers with a useful data source on which they can test their medical hypotheses. However, this can only be the case when researchers have a good set of hypotheses to test on the data. Conversely, the data may have other equally important areas that remain unexplored. There is a chance that some important signals in the data could be missed. Therefore, further analysis is required to make such hidden areas become more obvious and attainable for future exploration and investigation. Data mining techniques can be effective tools in discovering patterns and signals in large-scale patient data sets. These techniques have been widely applied to different areas in medical domain. Therefore, analysing patient data using such techniques has the potential to explore the data and to provide a better understanding of the information in patient records. However, the heterogeneity and complexity of medical data can be an obstacle in applying data mining techniques. Much of the potential value of this data therefore goes untapped. This thesis describes a novel methodology that reduces the dimensionality of primary care data, to make it more amenable to visualisation, mining and clustering. The methodology involves employing a combination of ontology-based semantic similarity and principal component analysis (PCA) to map the data into an appropriate and informative low dimensional space. The aim of this thesis is to develop a novel methodology that provides a visualisation of patient records. This visualisation provides a systematic method that allows the formulation of new and testable hypotheses which can be fed to researchers to carry out the subsequent phases of research. In a small-scale study based on Salford Integrated Record (SIR) data, I have demonstrated that this mapping provides informative views of patient phenotypes across a population and allows the construction of clusters of patients sharing common diagnosis and treatments. The next phase of the research was to develop this methodology and explore its application using larger patient cohorts. This data contains more precise relationships between features than small-scale data. It also leads to the understanding of distinct population patterns and extracting common features. For such reasons, I applied the mapping methodology to patient records from the CPRD database. The study data set consisted of anonymised patient records for a population of 2.7 million patients. The work done in this analysis shows that methodology scales as O(n) in ways that did not require large computing resources. The low dimensional visualisation of high dimensional patient data allowed the identification of different subpopulations of patients across the study data set, where each subpopulation consisted of patients sharing similar characteristics such as age, gender and certain types of diseases. A key finding of this research is the wealth of data that can be produced. In the first use case of looking at the stratification of patients with falls, the methodology gave important hypotheses; however, this work has barely scratched the surface of how this mapping could be used. It opens up the possibility of applying a wide range of data mining strategies that have not yet been explored. What the thesis has shown is one strategy that works, but there could be many more. Furthermore, there is no aspect of the implementation of this methodology that restricts it to medical data. The same methodology could equally be applied to the analysis and visualisation of many other sources of data that are described using terms from taxonomies or ontologies.

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Stephen, Reejis 1977. "Context identification in electronic medical records." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28760.

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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2004.
Includes bibliographical references (leaves 66-67).
In order to automate data extraction from electronic medical documents, it is important to identify the correct context of the extracted information. Context in medical documents is provided by the layout of documents, which are partitioned into sections by virtue of a medical culture instilled through common practice and the training of physicians. Unfortunately, formatting and labeling is inconsistently adhered to in practice and human experts are usually required to identify sections in medical documents. A series of experiments tested the hypothesis that section identification independent of the label on sections could be achieved by using a neural network to elucidate relationships between features of sections (like size, position from start of the document) and the content characteristic of certain sections (subject-specific strings). Results showed that certain sections can be reliably identified using two different methods, and described the costs involved. The stratification of documents by document type (such as History and Physical Examination Documents or Discharge Summaries), patient diagnoses and department influenced the accuracy of identification. Future improvements suggested by the results in order to fully outline the approach were described.
by Reejis Stephen.
S.M.

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Grim, Nancy R. "Protecting the confidentiality of medical records used in medical research an assessment of the adequacy of federal law /." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 2001. http://www.kutztown.edu/library/services/remote_access.asp.

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Thesis (M.P.A.)--Kutztown University of Pennsylvania, 2001.
Source: Masters Abstracts International, Volume: 45-06, page: 2942. Typescript. Abstract precedes thesis as preliminary leaves. Includes bibliographical references (leaves 78-81).

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Turk, Carrie. "Stages of concern for implementing the electronic medical records." Menomonie, WI : University of Wisconsin--Stout, 2007. http://www.uwstout.edu/lib/thesis/2007/2007turkc.pdf.

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Kirkham, David Andrew. "Patient-held medical records : a thermodynamic perspective." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296769.

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Mathebeni-, Bokwe Pyrene. "Management of medical records for healthcare service delivery at the Victoria Public Hospital in the Eastern Cape Province :South Africa." Thesis, University of Fort Hare, 2015. http://hdl.handle.net/10353/6517.

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The study sought to investigate the management of medical records for healthcare service at the Victoria Public Hospital in the Eastern Cape Province. The objectives of the study were to describe the present records management practices in Victoria Hospital; find out the existing infrastructure for the management of patient medical records at the Victoria Hospital; determine the compliance of patient medical records management in Victoria Hospital with relevant national legislative and regulatory framework; find out the security of patient medical records at the Victoria Hospital. Quantitative and qualitative approaches were employed. The sample was drawn from the service providers and from the healthcare service users. Questionnaires, interviews and observation were used to collect data. The findings showed that Victoria Hospital uses manual records management system in the creation, maintenance and usage of records. In the findings, there were challenges related to misfiling and missing patient folders which sometimes lead to the creation of new patient folders. Also, the study discovered that the time spent in the retrieval of patient folders could negatively affect the timely delivery of healthcare services. The study recommended the adoption of electronic records management system as most public healthcare institutions in the country are rapidly shifting to electronic records management system. The use of electronic records management system is believed to be efficiently and effectively promoting easy accessibility, retrieval of patient medical records and allows easy communication amongst the healthcare service institutions and healthcare practitioners.

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Pagano, Michael Pro. "Communicating healthcare information : an analysis of medical records /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1990.

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Vu, Manh Tuan. "Literature review implementation of electronic medical records what factors are driving it? /." Thesis, Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42997896.

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Neamatullah, Ishna. "Automated de-identification of free-text medical records." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/41622.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 62-64).
This paper presents a de-identification study at the Harvard-MIT Division of Health Science and Technology (HST) to automatically de-identify confidential patient information from text medical records used in intensive care units (ICUs). Patient records are a vital resource in medical research. Before such records can be made available for research studies, protected health information (PHI) must be thoroughly scrubbed according to HIPAA specifications to preserve patient confidentiality. Manual de-identification on large databases tends to be prohibitively expensive, time-consuming and prone to error, making a computerized algorithm an urgent need for large-scale de-identification purposes. We have developed an automated pattern-matching deidentification algorithm that uses medical and hospital-specific information. The current version of the algorithm has an overall sensitivity of around 0.87 and an approximate positive predictive value of 0.63. In terms of sensitivity, it performs significantly better than 1 person (0.81) but not quite as well as a consensus of 2 human de-identifiers (0.94). The algorithm will be published as open-source software, and the de-identified medical records will be incorporated into HST's Multi-Parameter Intelligent Monitoring for Intensive Care (MIMIC II) physiologic database.
by Ishna Neamatullah.
M.Eng.

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Masiza, Melissa. "Factors affecting the adoption and meaningful use of electronic medical records in general practices." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1018561.

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Patients typically enter the healthcare systems at the primary care level from where they are further referred to specialists or hospitals as necessary. In the private healthcare system, primary care is provided by a general practitioner (GP). A GP will refer a patient to a specialist for treatment when necessary, while the GP remains the main healthcare provider. The provision of care is, thus, fragmented which results in continuity of care becoming a challenge. Furthermore, the majority of healthcare providers continue to use paper-based systems to capture and store patient medical data. However, capturing and storing patient medical data via electronic methods, such as Electronic Medical Records (EMRs), has been found to improve continuity of care. Despite this benefit, research reveals that smaller practices are slow to adopt electronic methods of record keeping. Hence this explorative research attempts to identify factors that affect the lack of adoption and meaningful use of EMRs in general practices. Four general practices are surveyed through patient and staff questionnaires, as well as GP interviews. Socio-Technical Systems (STS) theory is used as a theoretical lens to formulate the resulting factors. The findings of the research indicate specific factors that relate to either the social, environmental or technical sub-systems of the socio-technical system, or an overlap between these sub-systems. It is significant to note that within these sub-systems, the social sub-system plays a key role. This is due to various reasons revealed by this research. Furthermore, multiple perceptions emerged from the GP and patient participants during the analysis of the findings. These perceptions may have an influence on the adoption and potential meaningful use of an EMR in a general practice. Additionally, the socio-technical factors identified from this research highlight the challenges related to encouraging the adoption and meaningful use of EMRs. These challenges are introduced by the complexities represented by these factors. Nevertheless, addressing the factors will contribute towards improving the rate of adoption and meaningful use of EMRs in small practices.

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Shen, Shijun. "Approaches to creating anonymous patient database." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1693.

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Thesis (M.S.)--West Virginia University, 2000.
Title from document title page. Document formatted into pages; contains v, 68 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 67-68).

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Sonico, Eric A. "Implementation and utilization of electronic medical records| An analysis." Thesis, California State University, Long Beach, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1522655.

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This master's thesis will present a literature review and analysis ofthe implementation and use of Electronic Medical Records (EMR). The literature review will discuss reasons that support implementation of EMRs, factors that are necessary for successful implementation and barriers that impede implementation. Also, real-world examples of implementation for medical billing in healthcare organizations will be discussed, as well as the disparity in implementation rates between larger and smaller healthcare organizations.

The analysis portion of this thesis will include data from the 2009 National Ambulatory Medical Survey (NAMCS) EMR Supplement and, through the application of the Chi-Square statistical test using SPSS, will assess whether size of the medical practice in terms of number of physicians is significantly associated with EMR implementation and functionality, the latter of which includes clinical reminders and prescription ordering. It will be shown that physician size is indeed significantly associated with implementation and functionality.

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Lærum, Hallvard. "Evaluation of electronic medical records - A clinical task perspective." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Medicine, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1950.

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Evaluation is a challenging but necessary part of the development cycle of clinical information systems like the complex electronic medical records (EMR) systems. It is believed that evaluations of EMR systems should include multiple perspectives, be comparative and employ both qualitative and quantitative methods. Self-administered questionnaires are frequently used as a quantitative evaluation method in medical informatics, but very few validated questionnaires address clinical use of EMR systems, and comparative investigations are scarce.

A task-oriented questionnaire has been developed for evaluating EMR systems from the physician’s perspective. The key feature of the questionnaire is a list of 24 general clinical tasks. The list of tasks is applicable to physicians of most specialties and covers essential parts of their information-oriented work. The list appears as in two separate sections, about EMR use and task performance using the EMR, respectively. Using the questionnaire, the evaluator may quickly estimate the potential impact of the EMR system on health care delivery. Problematic areas may be found by identifying clinical tasks for which the EMR system either is not used, or for which performing the task is more difficult when using the system. These results may be compared across time, site or vendor. The development, application and validation of the questionnaire is described in this thesis. Its performance is demonstrated in a national and a local study.

In addition to underscoring the performance of the questionnaire, the demonstration studies had interesting results of their own. The national study showed that a considerable proportion of the functionality offered by the EMR systems is not used by the physicians. The local study showed that scanning and eliminating the paper-based medical record in middle-sized hospital is feasible. All physicians used the EMR system more much frequently, and while a considerable proportion of the internists found important tasks more difficult, most physicians found their EMR-supported tasks easier to perform. However, the medical secretaries in this hospital were considerably more satisfied with the system, and overall seemed to benefit more from this change in the work environment than both the physicians and the nurses.

The questionnaire presented here may be used as part of any evaluation effort involving the clinician’s perspective of an EMR system.

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Alfalah, Salsabeel Fayiz Mohammad. "An investigation of 3D simulation and electronic medical records for gait data." Thesis, Glasgow Caledonian University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603479.

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Da, Silva Fátima. "Deconstructing patients : A discourse analysis of IBD patients’ medical records." Thesis, Örebro universitet, Institutionen för medicinska vetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-61583.

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Sze, Hang-chi Candice. "An evaluation of the Hospital Authority public private interface : electronic patient record (PPI-ePR)sharing /." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38478638.

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Tsang, Hoi-ling. "An evaluation of the ePR-PPI project in a private hospital the implication and significance of user acceptance /." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42997847.

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Velupillai, Sumithra. "Shades of Certainty : Annotation and Classification of Swedish Medical Records." Doctoral thesis, Stockholms universitet, Institutionen för data- och systemvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-74828.

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Access to information is fundamental in health care. This thesis presents research on Swedish medical records with the overall goal of building intelligent information access tools that can aid health personnel, researchers and other professions in their daily work, and, ultimately, improve health care in general. The issue of ethics and identifiable information is addressed by creating an annotated gold standard corpus and porting an existing de-identification system to Swedish from English. The aim is to move towards making textual resources available to researchers without risking exposure of patients’ confidential information. Results for the rule-based system are not encouraging, but results for the gold standard are fairly high. Affirmed, uncertain and negated information needs to be distinguished when building accurate information extraction tools. Annotation models are created, with the aim of building automated systems. One model distinguishes certain and uncertain sentences, and is applied on medical records from several clinical departments. In a second model, two polarities and three levels of certainty are applied on diagnostic statements from an emergency department. Overall results are promising. Differences are seen depending on clinical practice, annotation task and level of domain expertise among the annotators. Using annotated resources for automatic classification is studied. Encouraging overall results using local context information are obtained. The fine-grained certainty levels are used for building classifiers for real-world e-health scenarios. This thesis contributes two annotation models of certainty and one of identifiable information, applied on Swedish medical records. A deeper understanding of the language use linked to conveying certainty levels is gained. Three annotated resources that can be used for further research have been created, and implications for automated systems are presented.

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Bridal, Olle. "Named-entity recognition with BERT for anonymization of medical records." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176547.

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Sharing data is an important part of the progress of science in many fields. In the largely deep learning dominated field of natural language processing, textual resources are in high demand. In certain domains, such as that of medical records, the sharing of data is limited by ethical and legal restrictions and therefore requires anonymization. The process of manual anonymization is tedious and expensive, thus automated anonymization is of great value. Since medical records consist of unstructured text, pieces of sensitive information have to be identified in order to be masked for anonymization. Named-entity recognition (NER) is the subtask of information extraction named entities, such as person names or locations, are identified and categorized. Recently, models that leverage unsupervised training on large quantities of unlabeled training data have performed impressively on the NER task, which shows promise in their usage for the problem of anonymization. In this study, a small set of medical records was annotated with named-entity tags. Because of the lack of any training data, a BERT model already fine-tuned for NER was then evaluated on the evaluation set. The aim was to find out how well the model would perform on NER on medical records, and to explore the possibility of using the model to anonymize medical records. The most positive result was that the model was able to identify all person names in the dataset. The average accuracy for identifying all entity types was however relatively low. It is discussed that the success of identifying person names shows promise in the model’s application for anonymization. However, because the overall accuracy is significantly worse than that of models fine-tuned on domain-specific data, it is suggested that there might be better methods for anonymization in the absence of relevant training data.

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Sethi, Iccha. "Clinician Decision Support Dashboard: Extracting value from Electronic Medical Records." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/41894.

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Medical records are rapidly being digitized to electronic medical records. Although Electronic Medical Records (EMRs) improve administration, billing, and logistics, an open research problem remains as to how doctors can leverage EMRs to enhance patient care. This thesis describes a system that analyzes a patientâ s evolving EMR in context with available biomedical knowledge and the accumulated experience recorded in various text sources including the EMRs of other patients. The aim of the Clinician Decision Support (CDS) Dashboard is to provide interactive, automated, actionable EMR text-mining tools that help improve both the patient and clinical care staff experience. The CDS Dashboard, in a secure network, helps physicians find de-identified electronic medical records similar to their patient's medical record thereby aiding them in diagnosis, treatment, prognosis and outcomes. It is of particular value in cases involving complex disorders, and also allows physicians to explore relevant medical literature, recent research findings, clinical trials and medical cases. A pilot study done with medical students at the Virginia Tech Carilion School of Medicine and Research Institute (VTC) showed that 89% of them found the CDS Dashboard to be useful in aiding patient care for doctors and 81% of them found it useful for aiding medical students pedagogically. Additionally, over 81% of the medical students found the tool user friendly. The CDS Dashboard is constructed using a multidisciplinary approach including: computer science, medicine, biomedical research, and human-machine interfacing. Our multidisciplinary approach combined with the high usability scores obtained from VTC indicated the CDS Dashboard has a high potential value to clinicians and medical students.
Master of Science

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Win, Khin Than. "The application of the FMEA risk assessment technique to electronic health record systems." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20050822.093730/index.html.

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Chipfumbu, Colletor Tendeukai. "Engendering the meaningful use of electronic medical records: a South African perspective." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/18420.

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Theoretically, the use of Electronic Medical Records (EMRs) holds promise of numerous benefits in healthcare provision, including improvement in continuity of care, quality of care and safety. However, in practice, there is evidence that the adoption of electronic medical records has been slow and where adopted, often lacks meaningful use. Thus there is a clear dichotomy between the ambitions for EMR use and the reality of EMR implementation. In the USA, a legislative approach was taken to turn around the situation. Other countries such as Canada and European countries have followed suit (in their own way) to address the adoption and meaningful use of electronic medical records. The South African e-Health strategy and the National Health Normative Standards Framework for Interoperability in eHealth in South Africa documents both recommend the adoption of EMRs. Much work has been done to establish a baseline for standards to ensure interoperability and data portability of healthcare applications and data. However, even with the increased focus on e-Health, South Africa remains excessively reliant on paper-based medical records. Where health information technologies have been adopted, there is lack of coordination between and within provinces, leading to a multitude of systems and vendors. Thus there is a lack of systematic adoption and meaningful use of EMRs in South Africa. The main objective of this research is to develop the components required to engender meaningful use of electronic medical records in the South African healthcare context. The main contributors are identified as EMR certification and consistent, proper use of certified EMRs. Literature review, a Delphi study and logical argumentation are used to develop the relevant components for the South African healthcare context. The benefits of EMRs can only be realized through systematic adoption and meaningful use of EMRs, thus this research contributes to providing a road map for engendering the meaningful use of EMRs with the ultimate aim of improving healthcare in the South African healthcare landscape.

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Bean, Richard S. "Analysis of user interface in medical report generation." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000304.

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Thesis (M.S.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains viii, 61 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Nchinda, Nchinda. "MedRec : patient centered medical records using a distributed permission management system." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/121600.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 48-51).
MedRec is a simple, distributed system for personal control of identity and distribution of personal information. The work is done in the context of a medical information distribution system where patients retain control over who can access their data. We create a network of trusted data repositories, the access to which are determined by a set of 'smart contracts'. These contracts are stored on a distributed ledger maintained by those who generate data. The distributed nature of the system allows unified access from diverse sources in a single application with no intermediary. This increases patient control while retaining a measure of privacy of both data content and source. MedRec is amenable to extensions for decentralized messaging and distribution of information to third parties such as medical researchers, healthcare proxies, and other institutions. The system is based on a blockchain that contains smart contracts defining user identity and distribution specifics.
by Nchinda Nchinda.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science

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Swanson, Abby Jo. "Electronic Medical Records in Acute Care Hospitals: Correlates, Efficiency, and Quality." VCU Scholars Compass, 2006. https://scholarscompass.vcu.edu/etd/871.

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The purpose of this dissertation is to examine the organizational and environmental correlates of hospital EMR use and to examine the relationship between hospital EMR use and performance. Using a theoretical framework that combines resource dependence theory with Donabedian's structure, process, outcome model, a conceptual model is created. To test the hypotheses of this model, logistic regression and Data Envelopment Analysis (DEA) are used. The data included in this analysis come from the AHA, HIMSS, CMS, ARF, and HQA. In the analysis of hospitals correlates of EMR use, three hypotheses were supported, and one was partially supported. Hospital system affiliation, bed size, and environmental uncertainty were found to be positively associated with hospital EMR use. Hospital rurality was found to be associated with EMR use for all categories except one; at every other level of rurality, as the hospital moves on a continuum from least rural to most urban, the likelihood of hospital EMR use also increases. Hospital EMR use was not found to be associated with teaching status, environmental munificence, competition, operating margin, ownership, or public payer mix. In the hospital performance analyses, one hypothesis was supported, and one was partially supported. Regarding quality, hospitals with EMRs were found to provide higher quality than those without EMRs. In efficiency performance, only small hospitals with EMRs were found to be more efficient than hospitals without EMRs. No support was found that hospitals with EMRs improve their efficiency over time more than hospitals without EMRs. Hospital EMR use does vary by certain organizational and environmental characteristics. For this reason, hospitals and policy makers must take action that enables and encourages all hospitals to implement and use EMRs because some hospitals do not have the motivation or resources to begin using EMRs on their own. Hospital EMR use is positively associated with high quality care, thus justifying the practice. Hospital efficiency was not found to be associated with EMR use in medium or large hospitals, but it was found to be associated with EMR use in small hospitals. Interestingly, larger hospitals are more likely to use EMRs than small hospitals. It is possible that the efficiency gains of EMR use in hospitals will not be realized until a standardized, fully interoperable system is developed, allowing health care provides to quickly and easily share the medical charts of their patients.

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Ozurigbo, Evangeline C. "Leveraging Artificial Intelligence to Improve Provider Documentation in Patient Medical Records." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5398.

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Clinical documentation is at the center of a patient's medical record; this record contains all the information applicable to the care a patient receives in the hospital. The practice problem addressed in this project was the lack of clear, consistent, accurate, and complete patient medical records in a pediatric hospital. Although the occurrence of incomplete medical records has been a known issue for the project hospital, the issue was further intensified following the implementation of the 10th revision of International Classification of Diseases (ICD-10) standard for documentation, which resulted in gaps in provider documentation that needed to be filled. Based on this, the researcher recommended a quality improvement project and worked with a multidisciplinary team from the hospital to develop an evidence-based documentation guideline that incorporated ICD-10 standard for documenting pediatric diagnoses. Using data generated from the guideline, an artificial intelligence (AI) was developed in the form of best practice advisory alerts to engage providers at the point of documentation as well as augment provider efforts. Rosswurm and Larrabee's conceptual framework and Kotter's 8-step change model was used to develop the guideline and design the project. A descriptive data analysis using sample T-test significance indicated that financial reimbursement decreased by 25%, while case denials increased by 28% after ICD-10 implementation. This project promotes positive social change by improving safety, quality, and accountability at the project hospital.

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Duncan, Terrence. "An Examination of Physician Resistance Related to Electronic Medical Records Adoption." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1257.

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The 2009 American Recovery and Reinvestment Act, signed under the Obama administration, mandated physicians to complete certification for electronic medical records (EMRs). Despite these mandates and the increased access to information technology, slow adoption rates persist on the use of EMRs. Guided by the theory of planned behavior and the technology acceptance model, the purpose of this quantitative study was to examine the relationship between the independent variables perceived ease of use, perceived usefulness, perceived behavioral control, perceived social influence, attitudes toward EMR, and the dependent variable user acceptance. This study identified physicians in the United States as end-users of EMRs. In this study, 76 randomly selected physicians in the United States, identified as end-users of EMRs, completed an electronic survey requiring responses to a 5-point Likert Scale model. Standard multiple regression analysis served as the means used to analyze the regression model. Despite the regression model being statistically significant, none of the individual independent variables had statistical significance in predicting user acceptance. Interdependence and homoscedasticity likely contributed to this phenomenon. Social change implications include understanding of physician perceptions and beliefs--how physician perceptions and beliefs affect EMR adoption. Because adoption rates did not achieve 100% certification by end-users, another social change implication includes the necessity of examining how end-user acceptance could decrease medical errors, increase efficiencies in physician workload, and improve communication within the health care industry.

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Aruldass, Ruby. "Structured Education Using Scenario-Based Training in Cerner Electronic Medical Records." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6515.

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Nurse practitioners are trained to use the electronic medical record (EMR) to document. Documentation in the EMR is often found to be incomplete, inaccurate, and unreliable, which affects the quality of care and patient safety outcomes. The purpose of the project was to improve the efficiency and effectiveness of nurse practitioners' documentation in the EMR. Malcolm Knowles' adult learning theory was used in this project to develop the education program. Kirkpatrick's training evaluation model was also used to analyze and evaluate the project. The study population included 5 primary care nurse practitioners in an ambulatory care setting using Cerner EMR. The practice-focused question was centered on whether a structured scenario-based training in Cerner would improve the completeness, accuracy, and reliability of EMR documentation. The 5 nurse practitioners were educated using structured, scenario-based training in EMR. The Cerner Advance database showed that there was an average decrease of two seconds in the documentation post-education when compared to the documentation time pre-education. Results for patient quality outcomes indicated that 2 out of 3 quality measures were performed above the national mean. The implication of this study for positive social change includes providing structured education using scenario-based training to help nurse practitioners provide quality care and promote better patient outcomes.

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Adeyeye, Adebisi. "Health care professionals' perceptions of the use of electronic medical records." Thesis, University of Phoenix, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10011612.

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ABSTRACT Electronic medical record (EMR) use has improved significantly in health care organizations. However, many barriers and factors influence the success of EMR implementation and adoption. The purpose of the descriptive qualitative single-case study was to explore health care professionals? perceptions of the use of EMRs at a hospital division of a major medical center. The study findings highlighted the challenges in transitioning from paper records to EMR despite the many benefits and potential improvement in health care. A description of the 16 health care professionals? perceptions of EMR use emerged by adopting the unified theory of acceptance and use of technology (UTAUT) model and NVivo 10 computer software to aid with the analysis of semi-structured, recorded, and transcribed interviews. Themes emerging from the analysis were in five categories: (a) Experience of health care professionals with a subtheme of workflow, (b) Challenges in transition from paper to EMR, (c) Barriers to EMR acceptance, with a subtheme of privacy, confidentiality, and security, (d) Leadership support, and (d) Success of EMR. The findings of the case study may inform health care industry decision makers of additional social and behavioral factors needed for successful EMR strategic planning, implementation, and maintenance.

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Spinks, Karolyn Annette. "The impact of the introduction of a pilot electronic health record system on general practioners' work practices in the Illawarra." Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060712.153053/index.html.

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Steif, Jacob. "Design and implementation of integrated clinical record systems : a multidisciplinary approach." Thesis, London School of Economics and Political Science (University of London), 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282655.

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In this work new approaches to the design and implementation of clinical record systems are examined. Although information technology has long been successfully used in specific areas of medicine, very few situations exist where information systems are routinely used to support the medical record. The underlying thesis of this work is that the major reasons for this failure are the complexity and vastness of the medical field and the limitations of traditional methodologies and models for information systems development. I contend that there is need of an interdisciplinary basis for information systems development methodologies, which account for the multiple characteristics of medical care and for the related information systems. The research has been done from the perspective of a real hospital where the present goal of computerisation has seen the introduction of information systems in routine clinical practice. First, the problem of developing information systems for clinical laboratories is addressed, and a proposed, entity-based methodology developed and implemented. Then, a different entitybased approach is devised for the area of clinical records. This has been successfuly implemented in several clinical applications. However, due to limitations of this approach the natural language paradigm was selected as a basis for a different methodology. A multi-functional information model and system is devised, where information is represented and manipulated by means of different models and representations. These models correspond to three semiotic functions which clinical record systems should support. First, there is the Atomic Object Model which manipulates 'atomic' predications. This model is used primarily for the recording of simple facts (both knowledge and data). Second, there is the Medical Record Model which encompasses mostly structural and temporal properties of information and its major semiotic function is communication. It utilises abstraction principles such as 'generalisation' and 'aggregation'. The third model, the Clinical Model, is designed to incorporate different roles'that information can play in reasoning for clinical problem-solving. An information system was developed in which special care was given to problems of man-machine interaction, both in regard to information modelling and to manipulation of patient information. An integrated information system was developed gradually using different database management systems. A dozen different clinical applications have been developed and implemented and hundreds of physicians and nurses utilise the system in routine clinical work

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Holt, Deborah Jane. "The accuracy of head and neck cancer registration." Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268925.

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Underwood, Gary Lloyd. "Diabetes Aid a system for the diagnosis and management of diabetes using a Palm Pilot /." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000361.

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Thesis (M.S.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains ix, 52 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Steiner, Bridget Anne. "Electronic medical record implementation in nursing practice a literature review of the factors of success /." Thesis, Montana State University, 2009. http://etd.lib.montana.edu/etd/2009/steiner/SteinerB0509.pdf.

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This is a review of the current literature to discern what factors need to be present in an electronic medical record (EMR) implementation in order for it to be successful for nurses. An extensive literature search was performed by using databases CINAHL, MEDLINE, and Health Reference Center for primary sources of research that specifically addressed EMR implementation and nursing. A coding scheme was developed and applied to each article for analysis. It was found that fit of the EMR with nurse functions, education, and positive nurse attitude were the three most common factors associated with successful EMR implementation for nurses. Lack of computer system quality, lack of fit of the EMR with nurse functions, and time requirements of its use were most commonly associated with lack of success.

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Jacobs, Ellen Mueller Keith J. "In search of a message to promote personal health information management." Click here for access, 2009. http://www.csm.edu/Academics/Library/Institutional_Repository.

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Thesis (Ph. D.)--University of Nebraska -- Omaha, 2009.
Presented to the faculty of the Graduate College in the University of Nebraska in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Medical Sciences Interdepartmental Area Health Services Research and Administration. Under the supervision of Professor Keith J. Mueller. Includes bibliographical references.

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Van, der Westhuizen Eldridge Welner. "A framework for personal health records in online social networking." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1012382.

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Since the early 20th century, the view has developed that high quality health care can be delivered only when all the pertinent data about the health of a patient is available to the clinician. Various types of health records have emerged to serve the needs of healthcare providers and more recently, patients or consumers. These health records include, but are not limited to, Personal Health Records, Electronic Heath Records, Electronic Medical Records and Payer-Based Health Records. Payer-Based Health Records emerged to serve the needs of medical aids or health care plans. Electronic Medical Records and Electronic Health Records were targeted at the healthcare provider market, whereas a gap developed in the patient market. Personal Health Records were developed to address the patient market, but adoption was slow at first. The success of online social networking reignited the flame that Personal Health Records needed and online consumer-based Personal Health Records were developed. Despite all the various types of health records, there still seems to be a lack of meaningful use of personal health records in modern society. The purpose of this dissertation is to propose a framework for Personal Health Records in online social networking, to address the issue of a lack of a central, accessible repository for health records. In order for a Personal Health Record to serve this need it has to be of meaningful use. The capability of a PHR to be of meaningful use is core to this research. In order to determine whether a Personal Health Record is of meaningful use, a tool is developed to evaluate Personal Health Records. This evaluation tool takes into account all the attributes that a Personal Health Record which is of meaningful use should comprise of. Suitable ratings are allocated to enable measuring of each attribute. A model is compiled to facilitate the selection of six Personal Health Records to be evaluated. One of these six Personal Health Records acts as a pilot site to test the evaluation tool in order to determine the tool’s utility and effect improvements. The other five Personal Health Records are then evaluated to measure their adherence to the attributes of meaningful use. These findings, together with a literature study on the various types of health records and the evaluation tool, inform the building blocks used to present the framework. It is hoped that the framework for Personal Health Records in online social networking proposed in this research, may be of benefit to provide clear guidance for the achievement of a central or integrated, accessible repository for health records through the meaningful use of Personal Health Records.

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Song, Lihong. "Medical concept embedding with ontological representations." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/703.

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Learning representations of medical concepts from the Electronic Health Records (EHRs) has been shown effective for predictive analytics in healthcare. The learned representations are expected to preserve the semantic meanings of different medical concepts, which can be treated as features and thus benefit a variety of applications. Medical ontologies have also been explored to be integrated with the EHR data to further enhance the accuracy of various prediction tasks in healthcare. Most of the existing works assume that medical concepts under the same ontological category should share similar representations, which however does not always hold. In particular, the categorizations in the categorical medical ontologies were established with various factors being considered. Medical concepts even under the same ontological category may not follow similar occurrence patterns in the EHR data, leading to contradicting objectives for the representation learning. In addition, these existing works merely utilize the categorical ontologies. Actually, it has been noticed that ontologies containing multiple types of relations are also available. However, studies rarely make use of the diverse types of medical ontologies. In this thesis research, we propose three novel representation learning models for integrating the EHR data and medical ontologies for predictive analytics. To improve the interpretability and alleviate the conflicting objective issue between the EHR data and medical ontologies, we propose techniques to learn medical concepts embeddings with multiple ontological representations. To reduce the reliance on labeled data, we treat the co-occurrence statistics of clinical events as additional training signals, which help us learn good representations even with few labeled data. To leverage the various domain knowledge, we also consider multiple medical ontologies (CCS, ATC and SNOMED-CT) and propose corresponding attention mechanisms so as to take the best advantage of the medical ontologies with better interpretability. Our proposed models can achieve the final medical concept representations which align better with the EHR data. We conduct extensive experiments, and our empirical results prove the effectiveness of the proposed methods. Keywords: Bio/Medicine, Healthcare-AI, Electronic Health Record, Representation Learning, Machine Learning Applications

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Lin, Jianjing. "Essays on the Adoption of Electronic Medical Records (EMR) by U.S. Hospitals." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/577202.

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A $35 billion program was passed by the federal government to promote the adoption of Electronic Medical Records (EMR). However, billions of incentive payments were flowing out without clear evidence of effective implementation. The dissertation studies the adoption decision of EMR by U.S. hospitals and the consequence of the application of this technology. The first chapter tries to evaluate choosing the locally market-leading vendor by standalone hospitals. I construct a dynamic oligopoly model and apply the methodology developed by Aguirregabiria and Mira (2007) to recover the model primitives with a nationwide sample of U.S. hospitals. The primary finding is that, on average, the per-period profit from choosing the locally market-leading vendor is increased by almost 51% as opposed to that from using any other technology. However, the impact moderates as compared with the sunk cost of implementation. From the counterfactual analysis I find if hospitals were incentivized to choose the locally market-leading vendor, it would help improve the market coordination substantially. The second chapter seeks to understand the incentive of hospital systems in choosing Health IT vendors: using the most-adopted product for coordination or otherwise to differentiate from the local market. I develop a simple discrete-choice model to evaluate the effect of each factor. Using a nationwide sample of affiliated hospitals from 2006 to 2010, I find that on average the system-dominating vendor has much greater advantage over the vendor leading the local market. After addressing the potential endogeneity issue, the impact from choosing the market-leading vendor is even negative. It may imply large systems are likely to create information silos, demonstrating lower propensity for external information exchange. The last chapter examines the impact of adopting EMR on Medicare billing, particularly to understand how the application of Health IT affects hospitals' response to a recent payment reform. Using a nationwide sample of U.S. hospital and claims data, we find, in general, there is no significant difference in billing between hospitals with and without Health IT. However, hospitals behaved quite differently in documenting medical/surgical diagnoses before and after the reform.

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Abimbola, Isaiah Gbenga. "Assessing Value Added in the Use of Electronic Medical Records in Nigeria." Thesis, Walden University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3702058.

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Electronic medical records (EMRs) or electronic health records have been in use for years in hospitals around the world as a time-saving system for patient record keeping. Despite its widespread use, some physicians disagree with the assertion that EMRs save time. The purpose of this study was to explore whether any time saved with the use of the EMR system was actually devoted by doctors to patient-care and thereby to improved patient-care efficiency. The conceptual support for this study was predicated employing the task-technology fit theory. Task-technology theorists argue that information technology is likely to have a positive impact in individual performance and production timeliness if its capabilities match the task that the user must perform. The research questions addressed the use of an EMR system as a time-saving device, its impact on the quality of patient-care, and how it has influenced patients? access to healthcare in Nigeria. In this research, a comparative qualitative case study was conducted involving 2 hospitals in Nigeria, one using EMRs and another using paper-based manual entry. A purposeful sample of 12 patients and 12 physicians from each hospital was interviewed. Data were compiled and organized using Nvivo 10 software for content analysis. Categories and recurring themes were identified from the data. The findings revealed that reduced patients? registration processing time gave EMR-using doctors more time with their patients, resulting in better patient care. These experiences were in stark contrast to the experiences of doctors who used paper-based manual entry. This study supports positive social change by informing decision makers that time saved by implementing EMR keeping may encourage doctors to spend more time with their patients, thus improving the general quality of healthcare in Nigeria.

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Edman, Henrik. "Sequential Pattern Mining on Electronic Medical Records for Finding Optimal Clinical Pathways." Thesis, KTH, Programvaruteknik och datorsystem, SCS, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230104.

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Electronic Medical Records (EMRs) are digital versions of paper charts, used to record the treatment of different patients in hospitals. Clinical pathways are used as guidelines for how to treat different diseases, determined by observing outcomes from previous treatments. Sequential pattern mining is a version of data mining where the data mined is organized in sequences. It is a common research topic in data mining with many new variations on existing algorithms being introduced frequently. In a previous report, the sequential pattern mining algorithm PrefixSpan was used to mine patterns in EMRs to verify or suggest new clinical pathways. It was found to only be able to verify pathways partially. One of the reasons stated for this was that PrefixSpan was too inefficient to be able to mine at a low enough support to consider some items. In this report CSpan is used instead, since it is supposed to outperform PrefixSpan by up to two orders of magnitude, in order to improve runtime and thereby address the problems mentioned in the previous work. The results show that CSpan did indeed improve the runtime and the algorithm was able to mine at a lower minimum support. However, the output was only barely improved.
Electronic Medical Records (EMRs) är digitala versioner av behandlingshistoriken för patienter på sjukhus. Clinical pathways används som riktlinjer för hur olika sjukdomar borde behandlas, vilka bestäms genom att observera utkomsten av tidigare behandlingar. Sequential pattern mining är en typ av data mining där datan som behandlas är strukturerad i sekvenser. Det är ett vanligt forskningsområde inom data mining där många nya variationer av existerande algoritmer introduceras frekvent. I en tidigare rapport användes sequential pattern mining algoritmen PrefixSpan på EMRs för att verifiera eller föreslå nya clinical pathways. Den kunde dock endast verifiera pathways delvis. En av anledningarna som nämndes för detta var att PrefixSpan var för ineffektiv för att kunna köras med en tillräckligt låg support för att kunna finna vissa åtgärder i en behandling. I den här rapporten används istället CSpan, eftersom den ska överprestera PrefixSpan med upp till två storleksordningar, för att förbättra körningstiden och därmed adressera problemen som nämns i den tidigare rapporten. Resultaten visar att CSpan förbättrade körningstiden och algoritmen kunde köras med lägre support. Däremot blev utdatan knappt förbättrad.

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Vielfaure, Natalie. "Medical records redefined: the value of the archival record in medical research." 2015. http://hdl.handle.net/1993/30727.

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Increasing the visibility and societal understanding of archives is an important task given the struggle archives have to show their worth and attract a larger and more diversified group of researchers. Researchers in the field of medicine often already have the visibility that archivists seek and, within that field, those who use archival sources in their investigations may be able to increase their audience’s awareness of archives. Consequently, reaching out to these researchers is an important step in increasing archival consciousness and appreciation. Learning about what they value in archives and how they use them are equally important. For a medical researcher, archives can provide important data for studies. This thesis analyzes key medical research uses of archives over the last forty years. As will be highlighted here, medical researchers have used archival records to study the effects of malnutrition, trauma, and environmental conditions on health. Greater awareness of the contribution of archival materials to medical knowledge and better health care has the potential to change public perceptions of archives. This medical research provides concrete examples of the value of archives to the central contemporary concerns of society. It dispels the conventional view that archives are peripheral to those concerns. Instead, it underscores the importance of archival work and the need to support it. The archival record is fluid. It has different meanings for different people at different times. Archivists must adopt a fluid perspective on value when they seek to increase their visibility and attract new users to their institutions. Records used in medical research may not have been created with that in mind. Thus by re-imagining what the medical record can be, this thesis hopes to contribute to this important process.
October 2015

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Huang, Yu-Huei, and 黃毓慧. "A Study of the Cognitive Electronic Medical Records Information Quality：Viewpoints of Individual Differences and Medical Records Risks." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/75348511954768668705.

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碩士
義守大學
資訊管理學系碩士班
98
With the advancement in information technology and medical industries flourish, security threats and vulnerabilities about healthcare greatly increased. Therefore, more and more strict challenges are imposed on the medical information security, especially related to life safety and privacy of patients, etc. Healthcare industry is a health industry with high density of manpower, capital and knowledge as well as highly professional approach. The management quality will be associated with the problem about patient’s health directly. In addition, the transfer of medical knowledge was transmitted by medical personnel, relying on medical records is the main method. For this reason, it needs to create a perfect management system for medical records to make a good medical knowledge management. Medical records are precious information about the records of doctors diagnose on patients. The objects of this survey are the medical personnel as well as the general public, and the samples objects are the patients of medical centers, regional hospitals, district hospitals, and basic clinics. A total of 500 questionnaires were sent out to these hospitals and among then 483 responded. The degree of recovery is 96.6%. The satisfaction rate was measured by the five-point scale on Likert scale. The data was analyzed using SPSS12.0 software for descriptive statistics, reliability analysis, validity analysis, factor analysis, analysis of variables and multiple regression analysis. The results show that there is a partly obvious relationship about the information quality cognition on electronic medical records for individual differences of the medical personnel and the general public. Moreover, there is an obvious relationship about the information quality cognition on electronic medical records for medical records risks of the medical personnel and the general public. Besides, we find that the confidentiality for information quality cognition of electronic medical records is lowest among others. If electronic medical information is divulged without cause, electronic media and the rapid information exchange network speed, the wide spread levels, the cause of the injury will not be able to imagine the future in recent rapid progress in information technology, national health care organizations electronic medical records is also booming, so the electronic medical records of safety and privacy, has become an important and urgent attention to the subject.

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LEE, SHIOW-HUI, and 李秀惠. "A Study for the Management of Discharge Medical Records and the Factors that Influence Delinquent Medical Records." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/32155624312152987523.

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Xie, Xin-Han, and 謝欣翰. "Blockchain Application in Electronic Medical Records Planning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9d4743.

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碩士
義守大學
資訊工程學系
107
Blockchain characteristics, such as cannot be modified, digital signatures and consensus, is very suitable for hospital system specifications. T The important considerations of creating medical records such as, Data availability and sharing (e.g. when, where, who created it and how to use it), therefore blockchain is useful for the medical information systems. In our study, Hyperledger Fabric blockchain system is especially suitable for electronic medical records. In this thesis, we illustrate how to create electronic medical record by using Hyperledger Fabric: endorsement strategy, chaincode setting, Channel feature, etc. In system foundation, the endorsement strategy is establishing by setting the node verification then set authorization to receiver. In order to read electronic medical records, the characteristic of consensus mechanism is also suitable for the system. Different from the general blockchain systems, Hyperledger Fabric only requires authorization to execute transactions. Therefore, we hope the study can improve the transaction of medical record.

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Lamy, Manuel Maria Vilela Pestana de Moura. "Extracting clinical knowledge from electronic medical records." Master's thesis, 2018. http://hdl.handle.net/10071/17591.

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As the adoption of Electronic Medical Records (EMRs) rises in the healthcare institutions, these resources’ importance increases due to all clinical information they contain about patients. However, the unstructured information in the form of clinical narratives present in these records makes it hard to extract and structure useful clinical knowledge. This unstructured information limits the potential of the EMRs because the clinical information these records contain can be used to perform essential tasks inside healthcare institutions such as searching, summarization, decision support and statistical analysis, as well as be used to support management decisions or serve for research. These tasks can only be done if the unstructured clinical information from the narratives is appropriately extracted, structured and processed in clinical knowledge. Usually, this information extraction and structuration in clinical knowledge is performed manually by healthcare practitioners, which is not efficient and is error-prone. This research aims to propose a solution to this problem, by using Machine Translation (MT) from the Portuguese language to the English language, Natural Language Processing (NLP) and Information Extraction (IE) techniques. With the help of these techniques, the goal is to develop a prototype pipeline modular system that can extract clinical knowledge from unstructured clinical information contained in Portuguese EMRs, in an automated way, in order to help EMRs to fulfil their potential and consequently help the Portuguese hospital involved in this research. This research also intends to show that this generic prototype system and approach can potentially be applied to other hospitals, even if they don’t use the Portuguese language.
Com a adopção cada vez maior das instituições de saúde face aos Processos Clínicos Electrónicos (PCE), estes documentos ganham cada vez mais importância em contexto clínico, devido a toda a informação clínica que contêm relativamente aos pacientes. No entanto, a informação não estruturada na forma de narrativas clínicas presente nestes documentos electrónicos, faz com que seja difícil extrair e estruturar deles conhecimento clínico. Esta informação não estruturada limita o potencial dos PCE, uma vez que essa mesma informação, caso seja extraída e estruturada devidamente, pode servir para que as instituições de saúde possam efectuar actividades importantes com maior eficiência e sucesso, como por exemplo actividades de pesquisa, sumarização, apoio à decisão, análises estatísticas, suporte a decisões de gestão e de investigação. Este tipo de actividades apenas podem ser feitas com sucesso caso a informação clínica não estruturada presente nos PCE seja devidamente extraída, estruturada e processada em conhecimento clínico. Habitualmente, esta extração é realizada manualmente pelos profissionais médicos, o que não é eficiente e é susceptível a erros. Esta dissertação pretende então propôr uma solução para este problema, ao utilizar técnicas de Tradução Automática (TA) da língua portuguesa para a língua inglesa, Processamento de Linguagem Natural (PLN) e Extração de Informação (EI). O objectivo é desenvolver um sistema protótipo de módulos em série que utilize estas técnicas, possibilitando a extração de conhecimento clínico, de uma forma automática, de informação clínica não estruturada presente nos PCE de um hospital português. O principal objetivo é ajudar os PCE a atingirem todo o seu potencial em termos de conhecimento clínico que contêm e consequentemente ajudar o hospital português em questão envolvido nesta dissertação, demonstrando também que este sistema protótipo e esta abordagem podem potencialmente ser aplicados a outros hospitais, mesmo que não sejam de língua portuguesa.

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Dissertations / Theses on the topic 'Medical records. Medical Records'

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