Relevant bibliographies by topics / Electronic health record

Contents

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

Academic literature on the topic 'Electronic health record'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Electronic health record"

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Seymour, Tom, Dean Frantsvog, and Tod Graeber. "Electronic Health Records (EHR)." American Journal of Health Sciences (AJHS) 3, no. 3 (July 13, 2012): 201–10. http://dx.doi.org/10.19030/ajhs.v3i3.7139.

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Electronic Health Records are electronic versions of patients’ healthcare records. An electronic health record gathers, creates, and stores the health record electronically. The electronic health record has been slow to be adopted by healthcare providers. The federal government has recently passed legislation requiring the use of electronic records or face monetary penalties. The electronic health record will improve clinical documentation, quality, healthcare utilization tracking, billing and coding, and make health records portable. The core components of an electronic health record include administrative functions, computerized physician order entry, lab systems, radiology systems, pharmacy systems, and clinical documentation. HL7 is the standard communication protocol technology that an electronic health record utilizes. Implementation of software, hardware, and IT networks are important for a successful electronic health record project. The benefits of an electronic health record include a gain in healthcare efficiencies, large gains in quality and safety, and lower healthcare costs for consumers. Electronic health record challenges include costly software packages, system security, patient confidentiality, and unknown future government regulations. Future technologies for electronic health records include bar coding, radio-frequency identification, and speech recognition.
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Dimond, Bridgit. "Electronic health record and electronic patient record." British Journal of Nursing 14, no. 13 (July 2005): 716–17. http://dx.doi.org/10.12968/bjon.2005.14.13.18454.

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BOSTROM, ANDREA C., PATRICIA SCHAFER, KATHY DONTJE, JOANNE M. POHL, JEAN NAGELKERK, and STEPHEN J. CAVANAGH. "Electronic Health Record." CIN: Computers, Informatics, Nursing 24, no. 1 (January 2006): 44–52. http://dx.doi.org/10.1097/00024665-200601000-00011.

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Bracco, David, and Fabrice Labeau. "Electronic Health Record." Critical Care Medicine 43, no. 6 (June 2015): 1342–44. http://dx.doi.org/10.1097/ccm.0000000000001007.

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N., Gayathri. "A Model for Xml-based Electronic Health Record System." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 5785–807. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020286.

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Mandal, Ajaya, Prakriti Dumaru, Sagar Bhandari, Shreeti Shrestha, and Subarna Shakya. "Decentralized Electronic Health Record System." Journal of the Institute of Engineering 15, no. 1 (February 16, 2020): 77–80. http://dx.doi.org/10.3126/jie.v15i1.27716.

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With a view to overcome the shortcomings of traditional Electronic Health Record (EHR) system so as to assure the interoperability by providing open access to sensitive health data, while still preserving personal data privacy, anonymity and avoiding data misuse, Decentralized Electronic Health Record System was developed. The aforementioned issue concerning traditional EHR system can be addressed by implication of emerging technology of the era namely Block chain, together with Inter Planetary File System (IPFS) which enables data sharing in decentralized and transactional fashion, thereby maintaining delicate balance between privacy and accessibility of electronic health records. A block chain based EHR system has been built for secure, efficient and interoperable access to medical records by both patients and doctors while preserving privacy of the sensitive patient’s information. Patients can easily and comprehensively access to their medical records across providers and treatment sites using unique properties of block chain and decentralized storage. A separate portal for both the patients and doctors has been built enabling the smart contracts to handle further interaction between doctors and patients. So, in this system, it is demonstrated how principles of decentralization and block chain architectures could contribute to EHR system using Ethereum smart contracts and IPFS to orchestrate a suitable system governing the medical record access while providing patients with comprehensive record review along with consideration for audit ability and data sharing.
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Kutney-Lee, Ann, Margo Brooks Carthon, Douglas M. Sloane, Kathryn H. Bowles, Matthew D. McHugh, and Linda H. Aiken. "Electronic Health Record Usability." Medical Care 59, no. 7 (April 1, 2021): 625–31. http://dx.doi.org/10.1097/mlr.0000000000001536.

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Mehmood, Hamid, Muhammad Aslam, Sadia Aslam, Ammara Waqar, Athar Khan, Yasir Hassan, Faryal Murtaza Cheema, Hassan Mujtaba, and Noor-e. Maham. "ELECTRONIC HEALTH RECORD SYSTEMS;." Professional Medical Journal 24, no. 01 (January 18, 2017): 182–87. http://dx.doi.org/10.29309/tpmj/2017.24.01.401.

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Introduction: e-Health is a combination of medical informatics, public health,business and information technology. Health information technology has increased theproductivity by reengineering of health care but it requires new measurement tools to monitorthe impact of it .e-health is not only for the development of technologies but also it includesproper planning, thinking, broad thinking to improve healthcare services with the help ofinformation and communication technology. Objectives: 1) To assess the perceptions ofphysicians towards the use, effectiveness and efficiency of EHR 2) To identify the differencesbetween electronic and paper based records 3) To evaluate the usage of Electronic HealthRecords.4) To analyze satisfaction and challenges face by the physicians using EHR. ResearchDesign: This is an Exploratory and Descriptive Research. In this study hybrid research methodis used which includes qualitative and quantitative research methods. Sampling technique:For this study, a purposive sample of 43 physicians was selected. The sample size was 60but 17 responses were incomplete so they were excluded and the final sample size was 43.Data was collected from two different hospitals of Pakistan which include the physicians fromShaukat Khanum Memorial Cancer Hospital and Research Centre, and Indus Hospital. Of the43 participants, 51% were from Indus Hospital and 49% were from Shaukat Khanum MemorialCancer Hospital and Research Centre. Instrument: A structured questionnaire was used tocollect data and it was collected by email responses and direct interview. EHR Questionnaire:A questionnaire was used in the study. The EHR Questionnaire has comprised of 24 items. Thisquestionnaire was developed by Msukwa. B.K.Martin.1 Data Analysis: Data analysis was doneby Statistical Package for Social Sciences (SPSS) and Microsoft Excel. Procedure: The sampleconsisted of physicians from Shaukat Khanum Memorial Cancer Hospital and Research Centre,and Indus Hospital from Karachi. EHR is a new technology and hospitals are moving towardsit, some are under process and very few like the above mentioned hospitals are using it. Thequestionnaire was not complicated. It was a structured questionnaire with easy questions withmultiple options to fill in. Respondents were also acknowledged for their cooperation andparticipation in the study. Conclusion: EHR should be used effectively, proper training is neededto ensure that physicians are able to operate the system and can have maximum benefits fromthe technology by utilizing all its applications. The government should encourage adoption ofElectronic Health l Records in Pakistan by developing a public-private partnership. The studyfocused also on EHR effectiveness by checking the working of EHR its quick and satisfactoryresults its accuracy, adequacy, timeliness, user- friendliness, availability and reliability.
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McCartney, Patricia. "The Electronic Health Record." MCN, The American Journal of Maternal/Child Nursing 29, no. 5 (September 2004): 328. http://dx.doi.org/10.1097/00005721-200409000-00013.

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Noblin, Alice M., Kendall Cortelyou-Ward, and Steven Ton. "Electronic Health Record Implementations." Health Care Manager 30, no. 1 (January 2011): 45–50. http://dx.doi.org/10.1097/hcm.0b013e3182078b4f.

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Dissertations / Theses on the topic "Electronic health record"

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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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Huang, Qian, and Qin Yin. "Study on Electronic Health Record and its Implementation." Thesis, Högskolan Kristianstad, Sektionen för hälsa och samhälle, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-9464.

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This degree project deals with electronic health record (EHR). The report is divided into two main sections; literature study on electronic health record and an EHR system implementation. In the literature study section, EHR background, development history and service condition are introduced. The paper focuses on the sharing of medical information in different users, data safety and privacy. The adjunctions of computer science, technologies are used to solve the medical informatics’ problems. In the implementation section, based on the study of the current EHR systems, the design and implement of a shared EHR system are presented, which can be accessed by different doctors and patients. Access control function and cryptography protections are included in this system. The system test and evaluation are also given.
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Xin, Zhang. "Distributed Electronic Health Record System based on Middleware." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-18947.

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With the fast development of information technology, traditional healthcare is evolving to a more digital and electronic stage. Electronic HealthRecord (EHR) is residents’ basic information and health care relatedinformation conforming to standard. It can not only provide usefulinformation to medical workers, but also exchange resources with otherinformation systems. But with the growing complexity of electronichealth record data sources, it becomes a big challenge to set up a structurewhich allows different types of data sharing and exchanging inmulti-platform applications. It’s even more important to find out amethod to support great amount of users from different applicationplatform to sharing and exchanging data at the same time.In this paper, we proposed a distributed electronic health record systembased on middleware to address the problem. Both permanent and realtimedata should pass through the middleware provided by the system,and will be transformed into standard format for storage. Multi-threadand distributed server group design will let the system be more flexibleand scalable, and will be able to provide service to users concurrently.The system creates a standard data format for data transferring andstorage. All raw data collected from different kinds of sensor system willbe formatted with application programming interface (API) or softwaredevelopment kit (SDK) system provided before upload to the system.Encryption methods are also implemented to ensure data security andprivacy protection.
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Najaftorkaman, Mohammadreza. "Facilitators and Barriers to User Adoption of Electronic Health Record Systems." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/368008.

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Information Technology (IT) applications have brought massive changes in healthcare and health providers have shifted from paper-based systems to computerized ones. The electronic medical record (EMR) and personal health record (PHR) are good examples of the application of IT in healthcare settings. Despite the enormous benefits of the available applications in healthcare, the adoption of EMR in primary care has been identified at 38.4 percent in the U.S., in Denmark, almost 62 percent of doctors use EMR, while only 55 percent of Australian physicians apply EMR systems (Sicotte et al. 2016; Venkatesh et al. 2011). Furthermore, with regard to the PHR system, the Australian government’s development of a national PHR system (personally controlled electronic health record (PCEHR) system) in 2010 was a part of their national e-health strategy to overcome common challenges such as medication errors, fragmented sources of health information, repetition of tests, an increase in chronic illness, workforce resource constraints, and individuals’ changing expectations of technology. The Australian government expected that 500,000 users would register at the first release of the national PHR system; however, only 400,000 users have signed up to this system and of those, many registered but their records remain empty.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of information and Communication Technology
Science, Environment, Engineering and Technology
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Simpson, Johnnie Lee Jr. "Examining differences in electronic health record adoption and motivations." Thesis, Capella University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3637298.

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My dissertation research aims to provide greater knowledge about the healthcare industry and federal budgets, within the education and infrastructure. The view point of the financials spent in the United States on healthcare is supported by the economic reports and facts dealing with the studies that the current cost is unstainable. It is also likely that rates of EHR adoption increased after the healthcare legislation associated with the administration of President Barack Obama.

Together, these two pieces of legislation represent a challenge for healthcare providers in the United States, as such providers will have not only to adopt EHR if they have not done so already, but they must also prepare for a torrent of new patients who typically have not had medical care—especially those eligible for Medicaid benefits.

One problem raised by the new healthcare legislation, according to Frenkel (2010), is that it unknown how the adoption of EHR will affect smaller healthcare providers financially and in terms of service, especially those that accept Medicaid reimbursement. Most EHR literature addresses circumstances before the passage of the ARRA of 2009 and the PPACA. While there are reliable figures for nationwide EHR adoption, Frenkel (2010) argued that some key questions remain unanswered:

1. Are Medicaid providers more advanced in EHR adoption than non-Medicaid providers?

2. What are the main obstacles to, and incentives for, adopting EHR in the new era of American healthcare?

3. Are obstacles and incentives different from those in the past before the new healthcare legislation, or are they similar to previous obstacles and incentives?

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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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Sundvall, Erik. "Scalability and Semantic Sustainability in Electronic Health Record Systems." Doctoral thesis, Linköpings universitet, Medicinsk informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87702.

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This work is a small contribution to the greater goal of making software systems used in healthcare more useful and sustainable. To come closer to that goal, health record data will need to be more computable and easier to exchange between systems. Interoperability refers to getting systems to work together and semantics concerns the study of meanings. If Semantic interoperability is achieved then information entered in one information system is usable in other systems and reusable for many purposes. Scalability refers to the extent to which a system can gracefully grow by adding more resources. Sustainability refers more to how to best use available limited resources. Both aspects are important. The main focus and aim of the thesis is to increase knowledge about how to support scalability and semantic sustainability. It reports explorations of how to apply aspects of the above to Electronic Health Record (EHR) systems, associated infrastructure, data structures, terminology systems, user interfaces and their mutual boundaries. Using terminology systems is one way to improve computability and comparability of data. Modern complex ontologies and terminology systems can contain hundreds of thousands of concepts that can have many kinds of relationships to multiple other concepts. This makes visualization challenging. Many visualization approaches designed to show the local neighbourhood of a single concept node do not scale well to larger sets of nodes. The interactive TermViz approach described in this thesis, is designed to aid users to navigate and comprehend the context of several nodes simultaneously. Two applications are presented where TermViz aids management of the boundary between EHR data structures and the terminology system SNOMED CT. The amount of available time from people skilled in health informatics is limited. Adequate methods and tools are required to develop, maintain and reuse health-IT solutions in a sustainable way. Multiple levels of modelling including a fixed reference model and another layer of flexible reusable ‘archetypes’ for domain specific data structures, is an approach with that aim used in openEHR and the ISO 13606 standard. This approach, including learning, implementing and managing it, is explored from different angles in this thesis. An architecture applying Representational State Transfer (REST) to archetype-based EHR systems, in order to address scalability, is presented. Combined with archetyping this architecture also aims at enabling a sustainable way of continuously evolving multi-vendor EHR solutions. An experimental open source implementation of it, aimed for learning and prototyping, is also presented. Manually changing database structures used for storage every time new versions of archetypes and associated data structures are needed is likely not a sustainable activity. Thus storage systems that can handle change with minimal manual interventions are desirable. Initial explorations of performance and scalability in such systems are also reported Graphical user interfaces focused on EHR navigation, time-perspectives and highlighting of EHR content are also presented – illustrating what can be done with computable health record data and the presented approaches. Desirable aspects of semantic sustainability have been discussed, including: sustainable use of limited resources (such as available time of skilled people), and reduction of unnecessary risks. A semantic sustainability perspective should be inspired and informed by research in complex systems theory, and should also include striving to be highly aware of when and where technical debt is being built up. Semantic sustainability is a shared responsibility. The combined results presented contribute to increasing knowledge about ways to support scalability and semantic sustainability in the context of electronic health record systems. Supporting tools, architectures and approaches are additional contributions.
Syftet med denna avhandling är ytterst att göra informationssystem som används i hälso- och sjukvård, särskilt patientjournaler, mer användbara och lättarbetade. Om systemen vore lättare att utveckla och underhålla skulle fler resurser kunna läggas på att tillföra nya och mer användarvänliga funktioner. Om journalsystem och datorprogram kan ”begripa” vad olika saker i journalen är och betyder så kan de vara till större hjälp, t.ex. genom att visa bättre patientöversikter och bidra med beslutsstöd. En del i att göra journalinnehållet begripligt och hanterbart för datorer är att använda sig av terminologisystem som t.ex. ICD-10 och SNOMED CT. En annan viktig del är datastrukturerna där man stoppar in text, mätvärden, koderna från terminologisystem etc. De flesta journalsystem har någon sorts mallar som datastrukturer. Projektet openEHR har tagit fram ett sätt att dela specifikationer av datastrukturer mellan olika journalsystem så att man lättare kan dela och återanvända dem och den journaldata som matats in i dem. Dessa specifikationer kallas ”arketyper” och arketyp-metoden beskrivs även i standarden ISO 13606. Om två olika journalsystem använder samma datastruktur, t.ex. med hjälp av samma arketyper, så kan de utväxla patientdata mellan varandra (de uppnår s.k. semantisk interoperabilitet). Begreppet ”Semantic sustainability” definieras i avhandlingen som ett förhållningssätt som är bredare än semantisk interoperabilitet. Det syftar till att möjliggöra långsiktigt hållbar utveckling av semantik (betydelse) i journalsystem och genom att hantera risker och resurser förståndigt. Förhållningssättet baserar sig på forskning och erfarenheter från systemutveckling och hantering av komplexa system och är avsett att stödja beslutsfattare, och de som utvecklar och underhåller journalsystem, relaterade system och strukturer. För att datorsystem ska kunna växa vid ökad användning ,utan att hamna i återvändsgränder avseende prestanda, så bör vissa designprinciper för skalbarhet följas. Avhandlingen presenterar en systemarkitektur baserad på sådana principer och på arketyp-metoden. Denna arkitektur gör det möjligt att bygga system med delsystem från flera olika leverantörer. Skalbarheten i några lagringslösningar redovisas också. Slutligen redovisas prototyper av gränssnitt för patientöversikter och journalläsning.
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Barry, Sacha (Sacha M. ). "Critical factors for successful electronic health record (EHR) implementation." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104546.

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Thesis: S.M. in Management Studies, Massachusetts Institute of Technology, Sloan School of Management, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 68-75).
Since the 1970s, the healthcare industry has been moving from paper-based documents towards computer information systems in an effort to increase timely access to quality information, with the ultimate objective of wide dissemination and adoption of Electronic Health Records (EHRs). EHRs are electronic collections of patient health information that are recorded by physicians, nurses and patients themselves, before being approved by physicians and shared across diverse settings. EHR implementation can improve care quality and efficiency and physician productivity and reduce healthcare costs. However, implementation often proves to be difficult. This paper reviews several common issues associated with EHR adoption including negative impacts on quality of care, physicians' productivity, patients' safety and organizations' financials from high maintenance and implementation costs. It then summarizes critical success factors found in the literature. It eventually examines two cases studies of Enterprise Resource Planning (ERP) implementation in the automotive and food and beverage industries and leverages ERP implementation best practices to develop a practical framework for successful HER adoption. Hopefully, it will be useful for future EHR adoption projects in the U.S. and other regions of the world.
by Sacha Barry.
S.M. in Management Studies
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Barnawi, Abdullah. "Risk management of electronic health record system in hospitals." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/10411.

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This thesis investigates the use of electronic medical record (EMR) systems and risk management in hospitals. It provides a critical analysis of recognized EMR systems and potential failures and discusses six traditional risk management techniques including brain storming, cause, effect analysis, failure mode effective analysis (FMEA), fault tree analysis (FTA), and Binary Decision Diagram (BDD) in addition, to one of the most recent systematic risk management techniques, Systems Theoretic Accident Model Process (STAMP). The traditional techniques are not as well suited to managing risks and preventing failures in modern information systems with complex software that involves human and machine interaction. The thesis introduces the implementation of common traditional risk management technique such as BDD and FTA which is mostly used in nuclear plants, transportation and medical devices backed by a hypothetical example to help and explain the process of the FTA usage. Most traditional techniques rely on a direct cause-and-effect chain and have no clear formal guidance. The systematic technique introduced and used in this study, is known as Systems Theoretic Accident Model Process (STAMP). It is one of the recent systematic techniques developed and used in many sectors including aerospace. This study applied the STAMP technique to the EMR system failure at King Khalid General Hospital (KKGH) in Riyadh. One of the reasons for selecting the STAMP technique is that it is based on system theory and established the risk factors that lead to system failure. It also provides guidance for managing and controlling risk factors. This thesis discusses the implementation of STAMP, supported by examples, to explain how the technique conducted. System failures occur unexpectedly and have the potential to affect health services; they can compromise patient health and sometimes lead to death. The aims of this study are to explore The Kingdom of Saudi Arabia healthcare usage of EMRs and risk factors that leads to system failure and demonstrate the benefit of STAMP for RM in EMR system, define gaps and provide suggestion based on international best practice The study was conducted in three phases. The first phase explored EMR system usage and failures. The second phase implemented the STAMP risk management technique at one hospital of our 8 surveyed hospitals, the King Khalid General Hospital’s (KKGH), to identify and manage risks. In the third phase, the study modified the STAMP technique and reapplied it. The modified technique STAMP Checklist (STAMPC) was compared with the original STAMP technique. We found that STAMPC is much more usable and subjectively beneficial for the hospital that uses a hybrid system. Data extracted using the modified technique provided more useful information to improve EMR system safety, and prevent potential failures. This study addresses the challenges of how effectively RM techniques used to reduce the potential risk of EMR system failures in hospitals. It improves the efficiency of the STAMP risk management technique by proposing a new (STAMPC) technique. There are 3 important implications for both RM and EMRs practice: first, the study suggests that RM and EMRs are integral parts of the management decision-making process; second, they are necessary to improve human health and safety; and, third, RM may minimise the possibility of system failure.
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Wissel, Benjamin D. "Generalizability of Electronic Health Record-Based Machine Learning Models." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627659161796896.

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Books on the topic "Electronic health record"

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Sinha, Pradeep, Gaur Sunder, Prashant Bendale, Manisha Mantri, and Atreya Dande. Electronic Health Record. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118479612.

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Bercaw, Ronald G., Kurt A. Knoth, and Susan T. Snedaker. The Lean Electronic Health Record. Boca Raton : Taylor & Francis, 2018.: Productivity Press, 2017. http://dx.doi.org/10.1201/b22061.

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Walker, James M., Eric J. Bieber, and Frank Richards, eds. Implementing an Electronic Health Record System. London: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b138849.

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Electronic health records for allied health careers. Boston: McGraw Hill, 2009.

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SAFER electronic health records: Safety assurance factors for EHR resilience. Oakville, ON: Apple Academic Press, 2015.

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

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D, Gelzer Reed, and Bowers Donna, eds. How to evaluate electronic health record (EHR) systems. Chicago, Ill: American Health Information Management Association, 2008.

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S, Pieczkiewicz David, ed. Data visualization strategies for the electronic health record. Hauppauge, N.Y: Nova Science Publisher's, Inc., 2011.

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Melissa, Kinsey, ed. The electronic health record for the physician's office. Maryland Heights, Mo: Saunders Elsevier, 2011.

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Strategies for electronic document and health record management. Chicago, Illinois: AHIMA , American Health Information Management Association, 2014.

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Book chapters on the topic "Electronic health record"

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Baumann, Linda C., and Alyssa Ylinen. "Electronic Health Record." In Encyclopedia of Behavioral Medicine, 744–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_106.

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LaCaille, Lara, Anna Maria Patino-Fernandez, Jane Monaco, Ding Ding, C. Renn Upchurch Sweeney, Colin D. Butler, Colin L. Soskolne, et al. "Electronic Health Record." In Encyclopedia of Behavioral Medicine, 669–70. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_106.

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Shabo, Amnon. "Electronic Health Record." In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_48-2.

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(Shvo), Amnon Shabo. "Electronic Health Record." In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_48-3.

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Shabo (Shvo), Amnon. "Electronic Health Record." In Encyclopedia of Database Systems, 968–72. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_48.

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Yu, Ping. "Electronic Health Record." In Encyclopedia of Gerontology and Population Aging, 1–6. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_442-1.

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Baumann, Linda C., and Alyssa Ylinen. "Electronic Health Record." In Encyclopedia of Behavioral Medicine, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6439-6_106-2.

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Ringel, Marc. "Electronic Health Record." In Digital Healing, 87–109. Boca Raton : Taylor & Francis, 2018. | “A Routledge title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: Productivity Press, 2018. http://dx.doi.org/10.4324/9781315115757-8.

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Yu, Ping. "Electronic Health Record." In Encyclopedia of Gerontology and Population Aging, 1609–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_442.

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Shabo (Shvo), Amnon. "Electronic Health Record." In Encyclopedia of Database Systems, 1273–79. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_48.

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Conference papers on the topic "Electronic health record"

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Grana, Manuel, and Konrad Jackwoski. "Electronic Health Record: A review." In 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2015. http://dx.doi.org/10.1109/bibm.2015.7359879.

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Duarte, Julio, Gabriel Pontes, Maria Salazar, Manuel Santos, Antonio Abelha, and Jose Machado. "Stand-alone electronic health record." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962571.

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Guang Dong and Weili Shi. "Community electronic health record system model." In 2011 International Conference on Computer Science and Service System (CSSS). IEEE, 2011. http://dx.doi.org/10.1109/csss.2011.5974778.

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Pereira, Rui, Julio Duarte, Maria Salazar, Manuel Santos, Antonio Abelha, and Jose Machado. "Usability of an electronic health record." In 2012 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2012. http://dx.doi.org/10.1109/ieem.2012.6838010.

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Pereira, Rui, Julio Duarte, Maria Salazar, Manuel Santos, Jose Neves, Antonio Abelha, and Jose Machado. "Usability evaluation of Electronic Health Record." In 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES 2012). IEEE, 2012. http://dx.doi.org/10.1109/iecbes.2012.6498049.

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Noumeir, Rita, and Jean-Francois Pambrun. "Images within the Electronic Health Record." In 2009 16th IEEE International Conference on Image Processing (ICIP 2009). IEEE, 2009. http://dx.doi.org/10.1109/icip.2009.5414545.

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Islam, Salekul, and Syeda Farzana. "Secured Electronic Health Record Management Protocol." In ICISPC 2017: 2017 International Conference on Imaging, Signal Processing and Communication. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3132300.3132311.

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AZHAGIRI, M., AMRITA R, R. APARNA, and JASHMITHA B. "Secured Electronic Health Record Management System." In 2018 3rd International Conference on Communication and Electronics Systems (ICCES). IEEE, 2018. http://dx.doi.org/10.1109/cesys.2018.8724010.

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Popescu, Mihail, George Chronis, Rohan Ohol, Marjorie Skubic, and Marilyn Rantz. "An eldercare electronic health record system for predictive health assessment." In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services (Healthcom 2011). IEEE, 2011. http://dx.doi.org/10.1109/health.2011.6026742.

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Gavrilov, Goce, Boro Jakimovski, Ivan Chorbev, and Vladimir Trajkovik. "Cloud-Based Electronic Health Record for Health Data Exchange." In International conference on Applied Internet and Information Technologies. Prof. Sasho Korunovski, PhD, Rector “St Kliment Ohridski” University - Bitola Republic of Macedonia, 2018. http://dx.doi.org/10.20544/aiit2018.p03.

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Reports on the topic "Electronic health record"

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Gillen, Emily, Olivia Berzin, Adam Vincent, and Doug Johnston. Certified Electronic Health Record Technology Under the Quality Payment Program. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0014.1801.

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Abstract:
The 2016 Quality Payment Program (QPP) is a Medicare reimbursement reform designed to incentivize value-based care over volume-based care. A core tenet of the QPP is integrated utilization of certified electronic health record technology (CEHRT). Adopting and implementing CEHRT is a resource-intensive process, requiring both financial capital and human capital (in the form of knowledge and time). Adoption can be especially challenging for small or rural practices that may not have access to such capital. In this issue brief, we discuss the role of CEHRT in the QPP and offer policy recommendations to help small and rural practices improve their health information technology (IT) capabilities with regards to participation in value-based care. The QPP requires practices to have health IT capabilities, both as a requirement for a complete performance score and to facilitate reporting. Practices that are unable to implement CEHRT will have difficulty complying with the new reimbursement system, and will likely incur financial losses. We recommend monetary support and staff training to small and rural practices for the adoption of CEHRT, and we recommend assistance to help practices comply with the requirements of the QPP and coordinate with other small and rural practices for reporting purposes.
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Schumacher, Robert M., and Svetlana Z. Lowry. Customizzed common industry format template for electronic health record usability testing. Gaithersburg, MD: National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7742.

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Hubbard, Rebecca A., Yong Chen, Jinbo Chen, Joanna Harton, Grace Choi, Arman Oganisian, Jing Huang, et al. Developing Statistical Methods for Estimating Phenotypes Using Electronic Health Record Data. Patient-Centered Outcomes Research Institute (PCORI), March 2021. http://dx.doi.org/10.25302/03.2021.me.151132666.

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Shepherd, Bryan_, and Pamela Shaw. New Methods to Improve Data Accuracy in Studies Using Electronic Health Record Data. Patient-Centered Outcomes Research Institute® (PCORI), August 2022. http://dx.doi.org/10.25302/08.2022.me.160936207.

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Verhulst, Daren A. Case Study: The Transformation of the Health Record; The Impact of Electronic Medical Records in a Military Treatment Facility. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada473555.

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Dunn, Michael A., and Melissa Saul. Framework for Smart Electronic Health Record-Linked Predictive Models to Optimize Care for Complex Digestive Diseases. Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada608042.

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Veerappan, Ganesh. Framework for Smart Electronic Health Record - Linked Predictive Models to Optimize Care for Complex Digestive Diseases. Fort Belvoir, VA: Defense Technical Information Center, June 2012. http://dx.doi.org/10.21236/ada568058.

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Betteridge, John D. Framework for Smart Electronic Health Record- Linked Predictive Models to Optimize Care for Complex Digestive Diseases. Fort Belvoir, VA: Defense Technical Information Center, August 2013. http://dx.doi.org/10.21236/ada588419.

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Dunn, Michael A., and Melissa Saul. Framework for Smart Electronic Health Record-Linked Predictive Models to Optimize Care for Complex Digestive Diseases. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada601336.

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Betteridge, John D. Framework for Smart Electronic Health Record- Linked Predictive Models to Optimize Care for Complex Digestive Diseases. Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada614941.

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