Relevant bibliographies by topics / Problem oriented Medical records

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Problem oriented Medical records'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Problem oriented Medical records"

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Uzuner, Ozlem, Jonathan Mailoa, Russell Ryan, and Tawanda Sibanda. "Semantic relations for problem-oriented medical records." Artificial Intelligence in Medicine 50, no. 2 (October 2010): 63–73. http://dx.doi.org/10.1016/j.artmed.2010.05.006.

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Savage, P. "A book that changed my practice: Problem oriented medical records." BMJ 322, no. 7281 (February 3, 2001): 275. http://dx.doi.org/10.1136/bmj.322.7281.275.

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Bassøe, C. F., and J. E. Rasmussen. "Semantic Analysis of Medical Records." Methods of Information in Medicine 32, no. 01 (1993): 66–72. http://dx.doi.org/10.1055/s-0038-1634897.

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Abstract:A program (LogStory) is described that was developed for the automatic semantic analysis of clinical narratives, stored in a computerized problem-oriented medical record (PROMED). The diagnoses were written in a free-text format during consultation, and later collected into diagnostic classes, e.g., diseases. A lexical parser automatically created dictionaries from the clinical narrative associated with each disease. Automatic (fuzzy) set operations were performed on the words associated with each class. The manifestations of 16 diseases were automatically extracted by pairwise operations on the word sets. The correlation between diseases and corresponding signs, symptoms and treatment was highly significant (p <0.001). Applying the difference operation on diseases with disjunct sets of clinical findings allowed the recovery of disease-specific knowledge. The evolution of a disease was accounted for, and the system was able to generalize its findings. The PROMED-LogStory concept enables the processing of natural language and may be a powerful tool for knowledge acquisition and clinical research.
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Weed, L. "New Premises and New Tools for Medical Care and Medical Education." Methods of Information in Medicine 28, no. 04 (October 1989): 207–14. http://dx.doi.org/10.1055/s-0038-1636803.

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Abstract:Medical care and medical education can be supported more than in the past by using new tools and new premises for the effective linkage between bodies of knowledge and the use of that knowledge. The medical record can be converted from a source-oriented record to a problem-oriented record, enabling to trace not only what was done, but why it was done. These possiblities reveal new insights in the use of databases, problem lists, problem-oriented plans, and problem-oriented progress notes and flowsheets. It brings about a neW behavior in teaching which replaces memorizing facts, new possibilities for medical care, and new responsibilities both for physicians and patients. We now have knowledge-coupling tools that can be used directly with the patients at the time of problem solving. Patients are becoming active participants in this process, bringing about new roles for experts as well as expert systems.
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Buchanan, Joel. "Accelerating the Benefits of the Problem Oriented Medical Record." Applied Clinical Informatics 26, no. 01 (2017): 180–90. http://dx.doi.org/10.4338/aci-2016-04-ie-0054.

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Rector, A. L., W. A. Nowlan, and S. Kay. "Foundations for an Electronic Medical Record." Methods of Information in Medicine 30, no. 03 (1991): 179–86. http://dx.doi.org/10.1055/s-0038-1634836.

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AbstractGiven the many efforts currently under way to develop standards for electronic medical records, it is important to step back and reexamine the fundamental principles which should underlie a model of the electronic medical record. This paper presents an analysis based on the experience in developing the PEN & PAD prototype clinical workstation. The fundamental contention is that the requirements for a medical record must be grounded in its use for patient care. The basic requirement is that it be a faithful record of what clinicians have heard, seen, thought, and done. The other requirements for a medical record, e.g., that it be attributable and permanent, follow naturally from this view. We use the criteria developed to re-examine Weed’s Problem Oriented Medical Record and also relate the criteria to secondary uses of the medical record for population data, communications and decision support.
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Tange, H. J. "Consultation of Medical Narratives in the Electronic Medical Record." Methods of Information in Medicine 38, no. 04/05 (1999): 289–93. http://dx.doi.org/10.1055/s-0038-1634417.

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AbstractThis article presents an overview of a research project concerning the consultation of medical narratives in the electronic medical record (EMR). It describes an analysis of user needs, the design and implementation of a prototype EMR system, and the evaluation of the ease of consultation of medical narratives when using this system. In a questionnaire survey, 85 hospital physicians judged the quality of their paper-based medical record with respect to data entry, information retrieval and some other aspects. Participants were more positive about the paper medical record than the literature suggests. They wished to maintain the flexibility of data entry but indicated the need to improve the retrieval of information. A prototype EMR system was developed to facilitate the consultation of medical narratives. These parts were divided into labeled segments that could be arranged source-oriented and problem-oriented. This system was used to evaluate the ease of information retrieval of 24 internists and 12 residents at a teaching hospital when using free-text medical narratives divided at different levels of detail. They solved, without time pressure, some predefined problems concerning three voluminous, inpatient case records. The participants were randomly allocated to a sequence that was balanced by patient case and learning effect. The division of medical narratives affected speed, but not completeness of information retrieval. Progress notes divided into problem-related segments could be consulted 22% faster than when undivided. Medical history and physical examination divided into segments at organ-system level could be consulted 13% faster than when divided into separate questions and observations. These differences were statistically significant. The fastest divisions were also appreciated as the best combination of easy searching and best insight in the patient case. The results of our evaluation study suggest a trade-off between searching and reading: too much detailed segments will delay the consultation of medical narratives. Validation of the results in daily practice is recommended.
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de Lusignan, Simon, Harshana Liyanage, and Philip Scott. "Computerised medical record systems that guide and protect – reflections on the Bawa-Garba case." BMJ Health & Care Informatics 25, no. 1 (January 2018): 57–59. http://dx.doi.org/10.14236/jhi.v25i1.1040.

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Lawrence Weed proposed we develop computerised, problem-oriented medical records that guide and teach. The Bawa-Garba case outcomes might have been different if care had been supported by computerised medical record (CMR) systems. CMR systems can reduce prescribing errors and could be developed to flag gaps in supervision. However, CMR systems are not a panacea and need to be fit for purpose. Our informatics perspective on this case is to call for widespread use of CMR systems – designed to guide and protect.
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Cillessen, Felix HJM, Pieter de Vries Robbé, and Marion Biermans. "A hospital-wide transition from paper to digital problem-oriented clinical notes." Applied Clinical Informatics 08, no. 02 (April 2017): 502–14. http://dx.doi.org/10.4338/aci-2016-08-ra-0137.

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SummaryObjectives: To evaluate the use, usability, and physician satisfaction of a locally developed problem-oriented clinical notes application that replaced paper-based records in a large Dutch university medical center.Methods: Using a clinical notes database and an application event log file and a cross-sectional survey of usability, authors retrospectively analyzed system usage for medical specialties, users, and patients over 4 years. A standardized questionnaire measured usability. Authors analyzed the effects of sex, age, professional experience, training hours, and medical specialty on user satisfaction via univariate analysis of variance. Authors also examined the correlation between user satisfaction in relation to users’ intensity of use of the application.Results: In total 1,793 physicians used the application to record progress notes for 219,755 patients. The overall satisfaction score was 3.2 on a scale from 1 (highly dissatisfied) to 5(highly satisfied). A statistically significant difference occurred in satisfaction by medical specialty, but no statistically significant differences in satisfaction took place by sex, age, professional experience, or training hours. Intensity of system use did not correlate with physician satisfaction.Conclusions: By two years after the start of the implementation, all medical specialties utilized the clinical notes application. User satisfaction was neutral (3.2 on a 1–5 scale). Authors believe that the significant factors facilitating this transition mirrored success factors reported by other groups: a generic, consistent, and transparent design of the application; intensive collaboration; continuous monitoring; and an incremental rollout.Citation: Cillessen FHJM, de Vries Robbé PF, Biermans MCJ. A hospital-wide transition from paper to digital problem-oriented clinical note. Appl Clin Inform 2017; 8: 502–514 https://doi.org/10.4338/ACI-2016-08-RA-0137
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Takabayashi, Katsuhiko. "II. Problem list: POS/POMR, and current patient problem list; 1. Problem-oriented medical record." Nihon Naika Gakkai Zasshi 106, no. 12 (December 10, 2017): 2529–34. http://dx.doi.org/10.2169/naika.106.2529.

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Dissertations / Theses on the topic "Problem oriented Medical records"

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Kabaso, Boniface. "Health information systems interoperability in Africa: service oriented architectural model for interoperability in African context." Thesis, Cape Peninsula University of Technology, 2014. http://hdl.handle.net/20.500.11838/1413.

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Africa has been seeing a steady increase in the Information and Communication Technology (ICT) systems deployed in health care institutions. This is evidenced by the funding that has been going into health information systems from both the government and the donor organisations. Large numbers of national and international agencies, research organisations, Non- Governmental Organisations(NGOs) etc continue to carry out studies and develop systems and procedures to exploit the power of Information and Communication Technology (ICT) in public and private health institutions. This uncoordinated mass migration to electronic medical record systems in Africa has created a heterogeneous and complex computing environment in health care institutions, where most of the deployed systems have technologies that are local, proprietary and insular. Furthermore, the electronic infrastructure in Africa meant to facilitate the electronic exchange of information has a number of constraints. The infrastructure connectivity on which ICT applications run, is still segmented. Most parts of Africa lack the availability of a reliable connectivity infrastructure. In some cases, there is no connectivity at all. This work aims at using Service Oriented Architectures (SOA) to address the problems of interoperability of systems deployed in Africa and suggest design architectures that are able to deal with the state of poor connectivity. SOA offers to bring better interoperability of systems deployed and re-usability of existing IT assets, including those using different electronic health standards in a resource constrained environment like Africa.
Thesis submitted in fulfilment of the requirements for the degree Doctor of Technology: Information Technology in the Faculty of Informatics And Design at the Cape Peninsula University of Technology 2014
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Books on the topic "Problem oriented Medical records"

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Clinical problem lists in the electronic health record. Toronto: Apple Academic Press, 2015.

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Knowledge coupling: New premises and new tools for medical care and education. New York: Springer-Verlag, 1991.

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E, Allen James. Long term care facility resident assessment instrument: User's manual for use with version 2.0 of HCFA minimum data set resident assessment protocols and utilization guidelines, October 1995, plus HCFA's 249 questions and answers, August 1996. New York: Springer Pub. Co., 1997.

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Beck, Roy W. Neuro-ophthalmology: A problem-oriented approach. Boston: Little, Brown, 1988.

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P, Perl Daniel, ed. Medical neuroanatomy: A problem-oriented manual with annotated atlas. Philadelphia, PA: Lippincott, 1993.

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Centre, King's Fund, ed. Problem orientated medical records: (POMR) : guidelines for therapists. London: King's Fund Centre, 1988.

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Problem orientated medical records (POMR): Guidelines for therapists. London: King's Fund Centre, 1988.

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Abbey, L. M., K. A. Bartholomew, C. S. Burger, H. D. Cross, and Lawrence L. Weed. Knowledge Coupling: New Premises and New Tools for Medical Care and Education. Springer, 2011.

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Knowledge Coupling: New Premises and New Tools for Medical Care and Education. Springer, 2011.

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1917-, Friedman H. Harold, and Briney Walter G. 1934-, eds. Problem-oriented medical diagnosis. 4th ed. Boston: Little, Brown, 1987.

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Book chapters on the topic "Problem oriented Medical records"

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Juarez, Jose M., Manuel Campos, Antonio Gomariz, and Antonio Morales. "Computing Problem Oriented Medical Records." In Knowledge Representation for Health-Care, 117–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27697-2_9.

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D’Angelo, A., F. Noventa, and A. M. Volpe. "Coral: An A.I. Approach of “Problem Oriented Medical Record”." In Medical Informatics Europe 85, 206–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-93295-3_41.

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Prantera, C., F. Zannoni, M. L. Scribano, and R. Mangiarotti. "Problem-Oriented Medical Record: A Real Advantage in Clinical Practice?" In Imaging and Computing in Gastroenterology, 125–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75739-6_22.

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Weed, Lawrence L. "Implications of the Computerized Problem Oriented Medical Record and Knowledge Coupling Tools." In Knowledge Coupling, 159–89. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3150-9_9.

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Schmidt, Henk G. "How Effective Are Problem-based, Community-oriented Curricula: Experienced Evidence." In New Directions for Medical Education, 220–29. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3472-2_15.

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Orphanou, Kalia, Athena Stassopoulou, and Elpida Keravnou. "Enchancing Medical Problem Solving through the Integration of Temporal Abstractions with Bayesian Networks in Time-Oriented Clinical Domains." In Signal Processing and Machine Learning for Biomedical Big Data, 493–517. Boca Raton : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781351061223-25.

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Lloyd, William B. "History of the Problem-Oriented Medical Record Audit." In Assuring Quality Ambulatory Health Care: The Dr. Martin Luther King Jr. Health Center, 47–55. Routledge, 2019. http://dx.doi.org/10.4324/9780429050909-6.

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Meredith, John, Ian McNicoll, Nik Whitehead, and Michael Dacey. "openEHR Based Contextual Problem List." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210209.

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The problem list is a key facet of the digital patient record that has historically been difficult to curate. This paper presents an implementation of a contextual problem list using openEHR. It describes the modelling approach, key model elements, and how these are assembled to underpin a Problem Oriented Medical Record. Finally, it discusses issues associated with how problem lists may be used.
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"Bringing Science to Medicine: An Interview with Larry Weed, Inventor of the Problem-Oriented Medical Record." In Clinical Problem Lists in the Electronic Health Record, 23–38. Apple Academic Press, 2014. http://dx.doi.org/10.1201/b17819-7.

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"Medical Records That Guide and Teach." In Clinical Problem Lists in the Electronic Health Record, 39–64. Apple Academic Press, 2014. http://dx.doi.org/10.1201/b17819-8.

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Conference papers on the topic "Problem oriented Medical records"

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Behlen, Fred M., Liora Alschuler, and W. Dean Bidgood. "Document-oriented approach for PACS and medical records." In Medical Imaging '99, edited by G. James Blaine and Steven C. Horii. SPIE, 1999. http://dx.doi.org/10.1117/12.352754.

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Wang, Shuai, and Junfei Liu. "ClinicNet: Clinical Practice Oriented Medical Representation Learning for Electronic Medical Records." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020. http://dx.doi.org/10.1109/bibm49941.2020.9313594.

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Ellouze, Afef Samet, Rafik Bouaziz, and Ahmed Jmal. "Service Oriented Tools for Medical Records Management and Versioning." In 2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications. IEEE, 2010. http://dx.doi.org/10.1109/dbkda.2010.20.

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Zheng, Weilin, Wenjie Dong, Xiangjiao Chen, and Jianguo Zhang. "Semantic extraction and processing of medical records for patient-oriented visual index." In SPIE Medical Imaging, edited by William W. Boonn and Brent J. Liu. SPIE, 2012. http://dx.doi.org/10.1117/12.911044.

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Yousefi, Anis, Negin Mastouri, and Kamran Sartipi. "Scenario-oriented information extraction from electronic health records." In 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2009. http://dx.doi.org/10.1109/cbms.2009.5255451.

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Ohsaki, Miho, Hayato Sasaki, Hiroharu Kawanaka, and Shigeru Katagiri. "Body Part Diagram Recognition in Medical Records: Application of the Histograms of Oriented Gradients and the Mahalanobis-Distance-Based Classifier." In 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS). IEEE, 2018. http://dx.doi.org/10.1109/scis-isis.2018.00195.

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Eklics, Kata, Eszter Kárpáti, Robin Valerie Cathey, Andrew J. Lee, and Ágnes Koppán. "Interdisciplinary Medical Communication Training at the University of Pécs." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9443.

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Medical communication training is being challenged to meet the demands of a more internationalized world. As a result, interdisciplinary simulation-based education is designed to advance clinical skill development, specifically in doctor-patient interactions. The Standardized Patient Program has been applied in American Medical Schools since the 1960s, implementing patient profiles based on authentic cases. At the University of Pécs, Medical School in Hungary, this model is being adapted to facilitate improving patient-interviewing, problem-solving, and medical reporting skills. The interdisciplinary program operates in Hungarian, German and English languages, utilizing actors to perform as simulated patients under the close observation of medical specialists and linguists. This innovative course is designed to train students to successfully collect patient histories while navigating medical, linguistic, emotional, and socio-cultural complexities of patients. Experts in medicine and language assess student performance, offering feedback and providing individualized training that students might improve their professional and communicative competencies. This paper examines how this interdisciplinary course provides valuable opportunities for more efficient patient-oriented communication practices. Through responding to medical emergencies, miscommunications, and conflicts in a safe environment, medical students prepare to deal with a diverse patient context, that more qualified and empathetic health personnel may be employed throughout clinics worldwide. Keywords: interdisciplinary simulation-based education, doctor-patient interaction, MediSkillsLab, medical history taking, language for specific purposes competencies
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Jalali, Niloofar, Stephen Agboola, Kamal Jethwani, Ibrahim Zeid, and Sagar Kamarthi. "Temporal Case-Based Reasoning for Personalized Hypertensive Treatment." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67066.

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Most of the current problems can be solved by referring to the solutions of the previous problems. Case Based reasoning (CBR) is one of the methods that solves a problem by retrieving the similar problems from the past and adapting the solutions of the past problems to solve the new problem. Recent studies that apply CBR include time as a parameter to retrieve most effective solutions that vary with time. This approach is more helpful in healthcare area in which one needs to look at historical evidence to find an accurate diagnostic or treatment regime. Hence, in this study, a time-based CBR is applied to track the outcomes of the drug therapy on hypertensive patients and find the most effective drug as a prescription. Initially, episodes in each patient’s medical records are chronologically ordered such that the oldest episode is placed first in the episode sequence and the latest episode is placed the last. It is assumed that the first episode of each patient is the first instance of diagnose; so when a new patient comes for checkup, his/her state (health condition) is compared with the initial state of the past patients. Therefore, the retrieval process calculates the similarity between the new patient’s current state and the most similar patients at their first episodes in the patient records. Due to the diversity of therapies for matching patients, the best treatment couldn’t be determined without knowing the efficacy of the different treatments. Therefore, the subsequent episodes of matching patients are examined to find the best treatment for the new patient. This might even require using a combination of treatments from all matching patients to find a good treatment for the new patient. After the treatment is defined for the first visit, the record of the new patient is stored in the library for future case retrieval. This method is a novel approach to personalized treatment of patients having chronic disease by tracking the medical records past patients over a long period of time. The current approach for treating the hypertensive patients uses evidence-based guidelines for managing the disease. However, this approach is more general and doesn’t take into account all the patient characteristics such as lab results and physical examination parameters. In the current approach the similarity between patients can’t be leveraged; the change of the treatment regime is based only on the risk parameter. However, in this method several parameters are being checked for efficiency of the medication. In contrast, the proposed CBR-based method personalizes the treatment based on what worked well for similar patients. In this paper, the clinical records of hypertensive patients are provided by a Boston based hospital. The preliminary results confirm that the proposed approach will give good recommendation for hypertension treatment.
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Khudadad, Hanan, and Lukman Thalib. "Antibiotics Prescription Patterns in Primary Health Care in Qatar – A Population based study from 2017 to 2018." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0169.

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Background: Antibiotics are antimicrobial drugs used in the treatment and prevention of bacterial infections. They played a pivotal role in achieving major advances in medicine and surgery (1). Yet, due to increased and inappropriate use of antibiotics, antibiotic resistance (AR) has become a growing public health problem. Information on antibiotic prescription patterns are vital in developing a constructive approach to deal with growing antibiotic resistance (2). The study aims to describe the population based antibiotic prescriptions among patients attending primary care centers in Qatar. Methodology: A population based observational study of all medications prescribed in the all Primary Health Care Centers during the period of 2017-2018 in Qatar. Records with all medication prescriptions were extracted and linked to medical diagnosis. Antibiotics prescriptions records were compared to non- antibiotics records using logistic regression model in identifying the potential predictors for antibiotic prescriptions. Results: A total of 11,069,439 medication prescriptions given over a period of two-years, we found about 12.1% (n= 726,667) antibiotics prescriptions were antibiotics, and 65% of antibiotics are prescribed and received by the patients at the first visits. Paracetamol (22.3%) was the first highest medication prescribed followed by antibiotics (12.1 %) and vitamin D2 (10.2 %). More than half of all antibiotics prescribed during the period of January 2017 to December 2018 were Penicillin (56.9%). We found that half of the antibiotics (49.3 %) have been prescribed for the respiratory system comparing to the other body system. We found that males were 29% more likely be given an antibiotic compared to females (OR=1.29, 95% CI= 1.24- 1.33). Implications: The study provides a baseline data to enable PHCC management to design effective intervention program to address the problem of antibiotics resistance. Furthermore, it will help the policymakers to comprehend the size of the issue and develop a system to manage the antibiotics therapy. Conclusion: Antibiotics was the second highest medication prescribed in the Primary Health Care Centers in Qatar after paracetamol and most of the patients received it at the first visit. Most of the prescriptions in Primary Health Care Centers in Qatar were for the respiratory system, and Penicillin was the highest class prescribed. Male visitors were prescribed antibiotics more than female visitors.
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Shang, Junyuan, Tengfei Ma, Cao Xiao, and Jimeng Sun. "Pre-training of Graph Augmented Transformers for Medication Recommendation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/825.

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Medication recommendation is an important healthcare application. It is commonly formulated as a temporal prediction task. Hence, most existing works only utilize longitudinal electronic health records (EHRs) from a small number of patients with multiple visits ignoring a large number of patients with a single visit (selection bias). Moreover, important hierarchical knowledge such as diagnosis hierarchy is not leveraged in the representation learning process. Despite the success of deep learning techniques in computational phenotyping, most previous approaches have two limitations: task-oriented representation and ignoring hierarchies of medical codes. To address these challenges, we propose G-BERT, a new model to combine the power of Graph Neural Networks (GNNs) and BERT (Bidirectional Encoder Representations from Transformers) for medical code representation and medication recommendation. We use GNNs to represent the internal hierarchical structures of medical codes. Then we integrate the GNN representation into a transformer-based visit encoder and pre-train it on EHR data from patients only with a single visit. The pre-trained visit encoder and representation are then fine-tuned for downstream predictive tasks on longitudinal EHRs from patients with multiple visits. G-BERT is the first to bring the language model pre-training schema into the healthcare domain and it achieved state-of-the-art performance on the medication recommendation task.
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