Relevant bibliographies by topics / Electronic Health Records (EMR)

Contents

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

Academic literature on the topic 'Electronic Health Records (EMR)'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Electronic Health Records (EMR)"

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Kurniawan, Hendra Dwi, Aris Widiyanto, Santy Irene Putri, and Retno Dewi Prisusanti. "Meta Analysis: Effectiveness of Electronic Medical Record (EMR) on the Quality of Health Services." Journal of Health Policy and Management 09, no. 02 (2024): 168–76. http://dx.doi.org/10.26911/thejhpm.2024.09.02.03.

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Background : Progress technology information make all affected areas _ experience change . One of impact progress technology and information in the area health that is exists record medical electronic . There is a record medical electronic is designed to improve communication between providers within and between organizations by automating the collection, use, and storage of patient information. Additionally, record medical electronics can facilitate guideline compliance and decision support in service health . There is a record medical electronic expected can increase quality service health c
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Anshari, Muhammad. "Redefining Electronic Health Records (EHR) and Electronic Medical Records (EMR) to Promote Patient Empowerment." IJID (International Journal on Informatics for Development) 8, no. 1 (2019): 35. http://dx.doi.org/10.14421/ijid.2019.08106.

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A successful healthcare organization exists when it provides good quality service. Powered by technological changes like big data, cloud computing, and Internet of Things, healthcare information is accessed and owned and the patient has become evolving within the healthcare environment. This affects the relationship between healthcare provider and customers, and between patients. Electronic Health Records (EHRs) and Electronic Medical Records (EMRs) are considered as a building block for electronic health development. Many literatures use both terms EHR and EMR interchangeably with no clear di
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Masyfufah, Lilis, Mrs Sriwati, Amir Ali, and Bambang Nudji. "Readiness of Application of Electronic Medical Records in Health Services (Literature Study)." Proceeding International Conference on Medical Record 2, no. 1 (2022): 1–12. http://dx.doi.org/10.47387/icmr.v2i1.148.

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Background: Information and Communication Technology is advancing rapidly and has a major impact on all life, especially in the health sector, especially medical records. This is manifested in the Electronic Medical Record (EMR), which has now been further developed into an Electronic Health Record (EHR). This technology is used to replace or complement paper medical records. The purpose of this literature study is to determine the readiness to apply electronic medical records in health services.Methods: This study uses a literature study obtained from searching scientific research articles fr
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Bagus Kuntoadi1, Gama, Rita Dwi Pratiwi, Hasan Sadikin, Iah Bilqiz Khairul Barriyah, and Brojo Kishore Mishra. "Analysis Of Inhibiting Factors Implementation Of Electronic Medical Records In East Pamulang Community Health Center." International Journal of Information Technology, Research and Applications 3, no. 1 (2024): 20–25. http://dx.doi.org/10.59461/ijitra.v3i1.85.

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Patient medical records in Indonesia are starting to transform into electronic-based medical records. Electronic Medical Records (EMR) are medical records created using an electronic system. It is an electronic repository of information about a patient's health status and health services throughout patient life. The impact if health services have not implemented EMR is that it could hamper patient health services. This research aims to identify factors inhibiting the implementation of EMR at the East Pamulang Community Health Center (Puskesmas). The research method used is descriptive with a q
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Gajra, Ajeet, Dewilka Simons, Yolaine Jeune-Smith, Amy W. Valley, and Bruce A. Feinberg. "Physician satisfaction with electronic medical records (EMRs): Time for an intelligent health record?" Journal of Clinical Oncology 39, no. 28_suppl (2021): 318. http://dx.doi.org/10.1200/jco.2020.39.28_suppl.318.

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318 Background: EMRs are devised to improve the quality and efficiency of healthcare delivery and to reduce medical errors. Despite the widespread use of EMRs, various factors can limit their effectiveness in improving healthcare quality. General EMR use has been cited as a factor contributing to increased workload and clinician burnout in oncology and other specialties. The objective of this qualitative research study was to identify barriers perceived by medical oncologists and hematologists (mO/H) in utilizing EMR software and factors associated with levels of satisfaction. Methods: Between
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Handayani, Eka, and Tutik Sri Hariyati. "Nurses' Perception on the Implementation of Nursing Care Documentation Using Electronic Medical Record: A Literature Review." Jurnal Ilmiah Ilmu Keperawatan Indonesia 13, no. 04 (2024): 138–51. http://dx.doi.org/10.33221/jiiki.v13i04.3046.

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Background: The global use of Electronic Medical Records in healthcare service organizations such as hospitals is currently undertaken as a measure to enhance efficiency and safety in healthcare provision. Despite considerable attention being given to this aspect, the benefits of this technology are often not fully realized.
 Objectives: This research aims to examine the concept of electronic medical records about nurses' perceptions of nursing care documentation, particularly in healthcare services.
 Methods: The design of this research utilizes a literature review approach by colle
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Malhotra, Naveen, and Marlieta Lassiter. "The Coming Age Of Electronic Medical Records: From Paper To Electronic." International Journal of Management & Information Systems (IJMIS) 18, no. 2 (2014): 117. http://dx.doi.org/10.19030/ijmis.v18i2.8493.

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Medical records, first developed in the fifth century, have remained virtually unchanged until the explosion of new technology in the mid-1960s. The National Space and Aeronautics Administrations development of computerized patient record (CPR) brought life to the electronic medical record (EMR) industry. Preventable deaths due to medical errors drew the attention of public and health care professionals to the need for increased patient safety and improved quality measures in medicine. With health care costs compromising 16-17% of the U.S. Gross Domestic Product, Congress passed legislation to
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Corbett, Mary, Ariel Deardorff, and Iris Kovar-Gough. "Emerging Data Management Roles for Health Librarians in Electronic Medical Records." Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 35, no. 2 (2014): 55. http://dx.doi.org/10.5596/c14-022.

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<p>Objective: To examine current and developing data management roles and opportunities for health librarians<br />to become involved in electronic medical record (EMR) initiatives. This paper focuses on the Canadian context but has implications farther afield. Methods: To accomplish a state-of-the-art review, searches were conducted in the library and information science databases (LISTA, LISA), biomedical databases (MEDLINE, CINAHL, EMBASE), and on the web for grey literature. Keywords included: clinical librarian, health science librarian, medical librarian, hospital librarian,
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T.K., PradeepKumar, Ritu Vashistha, and Kumar KV. "A Review on Interoperability Challenges between the Electronic Medical records System (Micro level) And the Electronic Health Record System: Ayushman Bharat Digital Mission (Macro level)." International Research Journal of Computer Science 12, no. 02 (2025): 84–88. https://doi.org/10.26562/irjcs.2025.v1202.03.

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Interoperability has made it easier to implement EHR Systems by connecting with multiple EMR systems. To improve the exchange of health data seamlessly, as well as analysis, learning, and decision-making, Ayushman Bharat Digital Mission, the integrating platform from India, plays a vital role. This study analyses different types of interoperability, advantages of ABDM, implementation and adoption factors, and interoperability challenges between EMR and EHR Systems in detail. The findings showed that the interoperability, ABDM and EMR systems are integrated and the comparison of the micro, meso
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Madison, Michele Person. "Electronic Medical Record and Regulatory Implications." Journal of Medical Regulation 93, no. 4 (2007): 7–15. http://dx.doi.org/10.30770/2572-1852-93.4.7.

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ABSTRACT Health care practices increasingly rely upon Electronic Medical Records (EMR). EMR systems impact the daily operations and generate additional legal obligations. Effectively implementing an EMR system requires review of the state and federal regulations. EMR access, automation and aggregation of a comprehensive medical record benefit providers. However, each benefit poses substantial risk to the privacy and security of patient information. Vulnerable wireless or internet access, quick unsecured transferability and improper access of the patient’s entire record are implicit within an E
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Dissertations / Theses on the topic "Electronic Health Records (EMR)"

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Bazile, Emmanuel Patrick. "Electronic Medical Records (EMR): An Empirical Testing of Factors Contributing to Healthcare Professionals’ Resistance to Use EMR Systems." NSUWorks, 2016. http://nsuworks.nova.edu/gscis_etd/964.

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The benefits of using electronic medical records (EMRs) have been well documented; however, despite numerous financial benefits and cost reductions being offered by the federal government, some healthcare professionals have been reluctant to implement EMR systems. In fact, prior research provides evidence of failed EMR implementations due to resistance on the part of physicians, nurses, and clinical administrators. In 2010, only 25% of office-based physicians have basic EMR systems and only 10% have fully functional systems. One of the hindrances believed to be responsible for the slow impleme
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Drill, Valerie Gerene. "A Multisite Hospital's Transition to an Interoperable Electronic Health Records System." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/3293.

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The health care industry is transforming into an industry that requires health information technology, yet many health care organizations are reluctant to implement new technology. The purpose of this case study was to explore strategies that led to a successful transition from an older electronic health record (EHR) system to a compliant EHR system at a multisite hospital system (MHS). The study included face-to-face and phone interviews with 12 managers who worked on the transition of an MHS's EHR system in the Pacific Northwest region of the United States. The technology acceptance model wa
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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 E
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Adu, Ebenezer Siaw. "Organizational Complexity and Hospitals' Adoption of Electronic Medical Records for Closed-loop Medication Therapy Management." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3652.

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Over 700,000 adverse drug events (ADEs) result in emergency hospital visits annually, and many of these ADEs are preventable through the use of health information technology in hospitals. However, only 12.6% of U.S. hospitals have developed the capacity to adopt closed-loop electronic medical records (EMR). Organizational complexity may be a major factor influencing hospitals' adoption of closed-loop EMR. This quantitative study explored how organizational complexity influenced hospitals' adoption of closed-loop EMR. Diffusion of innovation theory was the foundation for this study. Logistic re
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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; Ve
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de, Vries Heinca. "The readiness and perceptions of public health dentists on electronic health records: Case of Cape town south Africa." University of Western Cape, 2020. http://hdl.handle.net/11394/7840.

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Magister Commercii - MCom<br>This study aimed to understand the readiness and perceptions of Electronic Health Record (EHR) adoption among dentists in the public service of the Western Cape. A qualitative study design was chosen due to a lack of understanding of the phenomena. Additionally, the research sought to identify the factors that would potentially influence readiness and perceptions in order to identify how these factors could potentially influence EHR adoption among dentists.
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Shams, Amiri Nader. "Emerge and deploying electronic health records in developing countries." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16639.

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Nowadays, the main concern for any service provider organization is to improve their services with reducing the time of service accompanying with increase in their efficiency and effectiveness. In healthcare systems, specially, these concerns are much more important where the information is the core material of providng services to patients. Electronic health record (EHR) systems are designed to address these concerns and using them is becoming more and more important for many countries. EHR systems provide many capabilities to hospitals with collecting, sharing and manipulating information in
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Adams, Sharon L. "Nurses Knowledge, Skills, and Attitude Toward Electronic Health Records (EHR)." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/875.

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Information technology (IT) has been rapidly integrated into the healthcare industry, including nursing, and has the ability to reduce errors, cut cost, and enhance patient care. However, approximately 45% of the current nurse workforce lacks adequate training in computer skills, which may hinder the adoption of health-related IT in the workplace. Characteristics of Rogers's diffusion of innovation (relative advantage, compatibility, complexity, trialability, and observability) guided this project. This project was conducted to address the problem of IT adoption on a local level and was design
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Okoro, Chris U. "Perspectives of Primary Care Physicians on Adopting Electronic Medical Records in the Atlanta, Georgia Area." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5923.

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Slow adoption of electronic medical records (EMR) by primary care physicians in medical office practices has not facilitated the EMR adoption process. The problem is the slow pace of EMR adoption by primary care physicians in the Atlanta, Georgia area has become a public health concern. Research regarding the lived experiences of these physicians with EMR implementation and utilization may identify reasons for the slow adoption. The purpose of this phenomenological study was to explore the lived experiences of primary care physicians, who practice in the Atlanta area, regarding their perceptio
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Boscá, Tomás Diego. "DETAILED CLINICAL MODELS AND THEIR RELATION WITH ELECTRONIC HEALTH RECORDS." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/62174.

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[EN] Healthcare domain produces and consumes big quantities of people's health data. Although data exchange is the norm rather than the exception, being able to access to all patient data is still far from achieved. Current developments such as personal health records will introduce even more data and complexity to the Electronic Health Records (EHR). Achieving semantic interoperability is one of the biggest challenges to overcome in order to benefit from all the information contained in the distributed EHR. This requires that the semantics of the information can be understood by all involved
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Books on the topic "Electronic Health Records (EMR)"

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

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Arthur, Gasch, ed. Finding the right EHR: Your guide to electronic health records success. Wiley-Blackwell, 2010.

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Gasch, Arthur. Successfully choosing your EHR: 15 crucial decisions. Wiley-Blackwell, 2010.

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Virginia. Department of Health. Report of the Department of Health: Progress report on a pilot project connecting public health providers to Carilion Health System's Electronic Health Record (EHR), to the Governor and the General Assembly of Virginia. Commonwealth of Virginia, 2006.

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Association, Medical Group Management, ed. EHR optimization and operations guide for medical practices. Medical Group Management Association, 2012.

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Douglass), Jones Ed (Edward, and American Medical Association, eds. EHR implementation: A step-by-step guide for the medical practice. 2nd ed. American Medical Association, 2012.

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Cynthia, Davis. A guide to EHR adoption: Implementation through organizational transformation. HIMSS (Healthcare Information and Management Systems Society), 2012.

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Busch, Rebecca S., ed. Electronic Health Records. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9780470399484.

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Hamilton, Byron. Electronic health records. 2nd ed. McGraw-Hill, 2011.

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Hamilton, Byron. Electronic health records. 2nd ed. McGraw-Hill, 2011.

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Book chapters on the topic "Electronic Health Records (EMR)"

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Overton, Barbara Cook. "Electronic Health Records (EHR)." In Encyclopedia of Big Data. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_82.

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Overton, Barbara Cook. "Electronic Health Records (EHR)." In Encyclopedia of Big Data. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-32001-4_82-1.

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Sulaiman, Muhammad, Arifudin Arifudin, and Rib’hanul Hakim. "Electronic Medical Records (EMR) For Nursing Documentation: A Concept Analysis." In Advances in Health Sciences Research. Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-467-9_14.

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Ceruti, Michele, Silvio Geninatti, and Roberta Siliquini. "Use and Reuse of Electronic Health Records." In E-Health and Telemedicine. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8756-1.ch049.

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Electronic Health Record (EHR) is a term with several meanings, even if its very definition allows distinguishing it from other electronic records of healthcare interest, such as Electronic Medical Records (EMR) and Personal Health Records (PHR). EMR is the electronic evolution of paper-based medical records, while PHR is mainly the collection of health-related information of a single individual. All of these have many points in common, but the interchangeable use of the terms leads to several misunderstandings and may threaten the validity and reliability of EHR applications. EHRs are more st
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Ceruti, Michele, Silvio Geninatti, and Roberta Siliquini. "Use and Reuse of Electronic Health Records." In Healthcare Informatics and Analytics. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6316-9.ch011.

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Electronic Health Record (EHR) is a term with several meanings, even if its very definition allows distinguishing it from other electronic records of healthcare interest, such as Electronic Medical Records (EMR) and Personal Health Records (PHR). EMR is the electronic evolution of paper-based medical records, while PHR is mainly the collection of health-related information of a single individual. All of these have many points in common, but the interchangeable use of the terms leads to several misunderstandings and may threaten the validity and reliability of EHR applications. EHRs are more st
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Lin Jing, Ranslam Kyle, Shi Fang, Figurski Mike, and Liu Zheng. "Data Migration from Operating EMRs to OpenEMR with Mirth Connect." In Studies in Health Technology and Informatics. IOS Press, 2019. https://doi.org/10.3233/978-1-61499-951-5-288.

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Electronic medical records (EMR) are integral to the functionality of day to day operations in a clinic. EMRs perform functions like scheduling or hosting medical records used by physicians and other staff [1]. A certain time comes when it is necessary to upgrade or change EMRs to maintain efficiency in a clinic. The most arduous part of changing a clinic's EMR is migrating the clinical data from the old EMR to the new. This paper explores the feasibility of data migration between two Electronic Medical Records using open source technologies. This enables smaller clinics to change EMRs when th
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Ferreira, Ana, Ricardo Cruz-Correia, Luís Antunes, and David Chadwick. "Security of Electronic Medical Records." In Handbook of Research on Distributed Medical Informatics and E-Health. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-002-8.ch003.

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This chapter reports the authors’ experiences regarding security of the electronic medical record (EMR). Although the EMR objectives are to support shared care and healthcare professionals’ workflow, there are some barriers that prevent its successful use. These barriers comprise not only costs, regarding resources and time, but also patient / health professional relations, ICT (information and communication technologies) education as well as security issues. It is very difficult to evaluate EMR systems; however some studies already made show problems regarding usability and proper healthcare
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Mirza Hebah and El-Masri Samir. "National Electronic Medical Records integration on Cloud Computing System." In Studies in Health Technology and Informatics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-289-9-1219.

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Few Healthcare providers have an advanced level of Electronic Medical Record (EMR) adoption. Others have a low level and most have no EMR at all. Cloud computing technology is a new emerging technology that has been used in other industry and showed a great success. Despite the great features of Cloud computing, they haven't been utilized fairly yet in healthcare industry. This study presents an innovative Healthcare Cloud Computing system for Integrating Electronic Health Record (EHR). The proposed Cloud system applies the Cloud Computing technology on EHR system, to present a comprehensive E
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Sellami, Lynda, Khaled Sellami, and Pierre Tiako. "Reducing Errors in Electronic Medical Records." In Chronicle of Computing. Oklahoma International Publishing, 2024. http://dx.doi.org/10.55432/978-1-6692-0007-9_2.

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As electronic medical records (EMR) are used in e-health by healthcare professionals and by patients themselves, there is a need to facilitate the efficiency and usability of these systems, reducing adverse patient outcomes due to EMR-related user errors. To pinpoint and mitigate errors within the electronic health record, we formulated a methodology designed to uncover entry errors within the electronic health record. This approach involves meticulously examining the electronic health record during data input and cross-referencing it with the patient's medical history to uncover potential ent
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Seto Ryoma, Inoue Toshitaka, and Tsumura Hiroshi. "Clinical Documentation Improvement for Outpatients by Implementing Electronic Medical Records." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-415-2-102.

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This observational study was conducted before and after implementing an electronic medical record (EMR) system to evaluate the change in outpatient workflow by implementation of EMR and the effectiveness of clinical documentation improvement (CDI). The number of hours for patient care increased by 89.2% (p &amp;lt; .05) and the hours for writing medical records after consulting decreased after implementation of EMR by 27.3% (p &amp;lt; .01). Implementation of EMR reduced nurses' workload to handle medical records by 78.8 (p &amp;lt; .05) but not changed for physicians. The necessary change in
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Conference papers on the topic "Electronic Health Records (EMR)"

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Razmak, Jamil, and Wejdan Farhan. "Distilling the Progress of Electronic Medical Record (EMR) Usage by Canadian Physicians." In 2024 Global Digital Health Knowledge Exchange & Empowerment Conference (gDigiHealth.KEE). IEEE, 2024. http://dx.doi.org/10.1109/gdigihealth.kee62309.2024.10761154.

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Xu, Ran, Wenqi Shi, Yue Yu, et al. "RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-short.68.

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Marripudugala, Manideep. "Healthcare Outcome Data Analytics through Electronic Health Records (EHR) and LLMs." In 2025 7th International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2025. https://doi.org/10.1109/iciss63372.2025.11076450.

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Ryu, Jaehee, Seonhee Cho, Gyubok Lee, and Edward Choi. "EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.971.

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Tamizuddin, Md Fareed, and Nivedita Sharma. "Explainable AI for Electronic Health Record (EHR) Analysis and Patient Risk Prediction." In 2025 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2025. https://doi.org/10.1109/esci63694.2025.10988155.

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Arya, K. Vipul, and Sathya D. "Generation of Synthetic Dataset for Electronic Health Record (EHR) and Medical Images." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10985621.

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Agnal, Sharmila, Vimal Raj C K, Dinesh Kumar S, and Ashwin Ulagappan G. "Blockchain Based Electronic Medical Health Records Framework." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11019651.

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Kadhim, Dua Abdulrazak, Sarfraz Iqbal, and Päivi Jokela. "Electronic Health Records: Non-Swedish Speaking Refugee’s Perspective." In The 18th international symposium on health information management research. Linnaeus University Press, 2022. http://dx.doi.org/10.15626/ishimr.2020.16.

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Electronic health record (EHR) is a ubiquitous e-health tool that includes both Electronic Medical Record (EMR) and personal health record (PHR). EHR is aimed to be a versatile digital tool that can benefit both caregivers and patients through Quick and easy access to medical information at any time from hospitals or primary care. However, the fact that the bulk of core records, including self-service data for patients, is only available in Swedish may limit the scope, availability and feasibility of self service through EHRs access for refugee patients who are non-Swedish speakers. Research r
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Santoso, Dian Budi, Nuryati, and Nur Rokhman. "Experience of Electronic Medical Records Adoption in Primary Health Care in Indonesia." In The 2nd International Conference on Technology for Sustainable Development. Trans Tech Publications Ltd, 2022. http://dx.doi.org/10.4028/p-j260sd.

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Along with the development of information technology, health care facilities in Indonesia have begun to adopt the use of electronic medical records (EMR). This adoption process needs to be documented as a best practice model for health care facilities in the transition process from paper-based medical records to electronic ones. This paper discusses specifically the adoption process of EMR in primary health care facilities. Focus group discussion, interviews, and documentation studies were carried out in one community health center and one general practitioner clinic in a Special Region of Yog
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Wang, Jiaqi, Junyu Luo, Muchao Ye, et al. "Recent Advances in Predictive Modeling with Electronic Health Records." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/914.

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The development of electronic health records (EHR) systems has enabled the collection of a vast amount of digitized patient data. However, utilizing EHR data for predictive modeling presents several challenges due to its unique characteristics. With the advancements in machine learning techniques, deep learning has demonstrated its superiority in various applications, including healthcare. This survey systematically reviews recent advances in deep learning-based predictive models using EHR data. Specifically, we introduce the background of EHR data and provide a mathematical definition of the
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Reports on the topic "Electronic Health Records (EMR)"

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Humpage, Sarah D. Benefits and Costs of Electronic Medical Records: The Experience of Mexico's Social Security Institute. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0008829.

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Electronic medical record (EMR) systems are increasingly used in developing countries to improve quality of care while increasing efficiency. There is little systematic evidence, however, regarding EMRs' benefits and costs. This case study documents the implementation and use of an EMR system at the Mexican Social Security Institute (IMSS). Three EMR systems are now in operation for primary care, outpatient and inpatient hospital care. The evidence suggests that the primary care system has improved efficiency of care delivery and human resources management, and may have decreased incidence of
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O'Brien, Gavin. Securing Electronic Health Records on Mobile Devices. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.sp.1800-1.

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Ramaiah, Mala, Eswaran Subrahmanian, Ram D. Sriram, and Bettijoyce B. Lide. Workflow and electronic health records in small medical practices. National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7732.

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Kaplan, A., P. Ray, J. Greene, and V. Liu. Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2329375.

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Agarwal, Khushbu, and Sutanay Choudhury. DeepCare: Improving Patient Care using Deep Learning on Electronic Health Records. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1984684.

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Lowry, Svetlana Z., Matthew T. Quinn, Mala Ramaiah, et al. Technical evaluation, testing, and validatiaon of the usability of electronic health records. National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7804.

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Neugebauer, Romain, Julie Schmittdiel, Oleg Sofrygin, Alyce Adams, Richard Grant, and Mark van der Laan. Methods to Assess the Effect of Dynamic Treatment Regimens Using Electronic Health Records. Patient-Centered Outcomes Research Institute (PCORI), 2020. http://dx.doi.org/10.25302/06.2020.me.140312506.

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Lowry, Lana Z., Mala Ramaiah, Sandra S. Prettyman, et al. Examining the Copy and Paste Function in the Use of Electronic Health Records. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.ir.8166.

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Schumacher, Robert M., and Svetlana Z. Lowry. NIST guide to the processes approach for improving the usability of electronic health records. National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7741.

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Ziedan, Engy, Kosali Simon, and Coady Wing. Mortality Effects of Healthcare Supply Shocks: Evidence Using Linked Deaths and Electronic Health Records. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30553.

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