Relevant bibliographies by topics / Electronic health record systems

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 systems'

Author: Grafiati
Published: 10 January 2023
Last updated: 25 July 2025

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Journal articles on the topic "Electronic health record systems"

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Seymour, Tom, Dean Frantsvog, and Tod Graeber. "Electronic Health Records (EHR)." American Journal of Health Sciences (AJHS) 3, no. 3 (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
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Mehmood, Hamid, Muhammad Aslam, Sadia Aslam, et al. "ELECTRONIC HEALTH RECORD SYSTEMS;." Professional Medical Journal 24, no. 01 (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 identi
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Galli, Brian J. "Ethics of Electronic Health Record Systems." International Journal of Information Systems and Social Change 9, no. 3 (2018): 53–69. http://dx.doi.org/10.4018/ijissc.2018070104.

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This article describes how healthcare and IT are combatting the ethical implications of electronic health records (EHRs) in order to make them adopted by over 90% of small practices. There is a lack of trust in EHRs and uneasiness about what they will accomplish. Furthermore, security concerns have become more prevalent as a result of increased hacker activity. The objective of this article is to analyze these ethical issues in an effort to eliminate them as a hinderance to EHR implementation. As of now, 98% of all hospitals use EHRs. Between 2009 and 2015, the government allocated money and r
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Ohno-Machado, Lucila, Jihoon Kim, Rodney A. Gabriel, Grace M. Kuo, and Michael A. Hogarth. "Genomics and electronic health record systems." Human Molecular Genetics 27, R1 (2018): R48—R55. http://dx.doi.org/10.1093/hmg/ddy104.

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Sanders, David S., Daniel J. Lattin, Sarah Read-Brown, et al. "Electronic Health Record Systems in Ophthalmology." Ophthalmology 120, no. 9 (2013): 1745–55. http://dx.doi.org/10.1016/j.ophtha.2013.02.017.

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Nøhr, C. "Evaluation of Electronic Health Record Systems." Yearbook of Medical Informatics 15, no. 01 (2006): 107–13. http://dx.doi.org/10.1055/s-0038-1638481.

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SummaryThe objective of this article is to present an overview of the various considerations to be made prior to evaluating electronic health record (EHR) systems.From the methodological literature, a number of themes for decisions are presented and related to the contemporary EHR situation. Special attention is paid to a number of important methodological themes.Definitive checklists for evaluation of EHR systems can not be recommended, but seven key steps are listed to guide the design of evaluation projects.It is concluded that the issues presented are not completely exhausted and the seven
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Shinde, Prof Mrs A. S. "Electronic Health Record System Using Blockchain Technology." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 4714–23. http://dx.doi.org/10.22214/ijraset.2023.52659.

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Abstract: Patient’s Health Records (PHRs) are valuable assets to individuals because they enable them to integrate and manage their medical data. Due to the rapid growth of HealthCare management, it is crucialto maintain the Electronic Health Record of patients. Electronic Health Record systems face problems interms of security, integrity, and management since a large volume of patient’s sensitive data is shared between anonymous bodies. To overcome these issues, this project aims to explain how Blockchain technology can be a solution for Electronic Health Record systems. These records for not
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King, Jason, Ben Smith, and Laurie Williams. "Audit Mechanisms in Electronic Health Record Systems." International Journal of Computational Models and Algorithms in Medicine 3, no. 2 (2012): 23–42. http://dx.doi.org/10.4018/jcmam.2012040102.

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Inadequate audit mechanisms may result in undetected misuse of data in software-intensive systems. In the healthcare domain, electronic health record (EHR) systems should log the creating, reading, updating, or deleting of privacy-critical protected health information. The objective of this paper is to assess electronic health record audit mechanisms to determine the current degree of auditing for non-repudiation and to assess whether general audit guidelines adequately address non-repudiation. The authors analyzed the audit mechanisms of two open source EHR systems, OpenEMR and Tolven eCHR, a
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Winter, Alfred, Katsuhiko Takabayashi, Franziska Jahn, et al. "Quality Requirements for Electronic Health Record Systems." Methods of Information in Medicine 56, S 01 (2017): e92-e104. http://dx.doi.org/10.3414/me17-05-0002.

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SummaryBackground: For more than 30 years, there has been close cooperation between Japanese and German scientists with regard to information systems in health care. Collaboration has been formalized by an agreement between the respective scientific associations. Following this agreement, two joint workshops took place to explore the similarities and differences of electronic health record systems (EHRS) against the background of the two national healthcare systems that share many commonalities.Objectives: To establish a framework and requirements for the quality of EHRS that may also serve as
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McCormick, Danny, Stephanie Woolhandler, and David U. Himmelstein. "Electronic Health Record Systems: The Authors Reply." Health Affairs 31, no. 6 (2012): 1366. http://dx.doi.org/10.1377/hlthaff.2012.0475.

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Dissertations / Theses on the topic "Electronic health record systems"

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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.<br>Includes bibliographical references.<br>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
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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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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 resource
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Erdil, Nadiye Özlem. "Systems analysis of electronic health record adoption in the U.S. healthcare system." Diss., Online access via UMI:, 2009.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.
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Reid, Jr Marvin Leon. "Adoption of Electronic Health Record Systems Within Primary Care Practices." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2228.

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Primary care physicians (PCPPs) have been slow to implement electronic health records (EHRs), even though there is a U.S. federal requirement to implement EHRs. The purpose of this phenomenological study was to determine why PCPPs have been slow to adopt electronic health record (EHR) systems despite the potential to increase efficiency and quality of health care. The complex adaptive systems theory (CAS) served as the conceptual framework for this study. Twenty-six PCPPs were interviewed from primary care practices (PCPs) based in southwestern Ohio. The data were collected through a semistruc
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Borek, Jarrod. "Managerial Strategies for Maximizing Benefits From Electronic Health Record Systems." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4959.

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In 2009, the U.S. government allocated $27 billion to health care agencies for electronic health records (EHRs) implementation. The increased use of EHR systems is expected to drive down health care costs and increase profits. To meet this anticipated return on investment (ROI), hospital managers need to be able to successfully design, deploy, and manage EHR systems. The purpose of this single case study was to explore organizational management strategies that hospital managers can use to ensure their investments in EHRs meet targeted ROIs and work efficiency goals. The conceptual framework fo
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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 imp
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Almutiry, Omar Saud. "Data quality assessment instrument for electronic health record systems in Saudi Arabia." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/419029/.

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The provision of high quality data is of considerable importance to both business and government; poor data may lead to poor decisions, so quality plays a crucial role. With the proliferation of electronic data collection by businesses and governments, there has arisen a pressing need to assure this quality. This has been recognized by both the private and public sectors, and many initiatives such as the Data Quality Initiative Framework by the Welsh government, passed in 2004, and the Data Quality Act by the United States government, passed in 2002, have been launched to improve it in those c
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Tannan, Ritu. "Acceptance and Usage of Electronic Health Record Systems in Small Medical Practices." ScholarWorks, 2011. https://scholarworks.waldenu.edu/dissertations/1028.

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One of the objectives of the U.S. government has been the development of a nationwide health information infrastructure, including adoption and use of an electronic health records (EHR) system. However, a 2008 survey conducted by the National Center for Health Statistics indicated a 41.5% usage of the EHR system by physicians in office-based practices. The purpose of this study was to explore opinions and beliefs on the barriers to the diffusion of an ERH system using Q-methodology. Specifically, the research questions examined the subjectivity in the patterns of perspectives at the preadoptio
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Chen, Rong. "Towards interoperable and knowledge-based electronic health records using archetype methodology /." Linköping : Department of Biomedical Engineering, Linköpings universitet, 2009. http://www.bibl.liu.se/liupubl/disp/disp2009/tek1280s.htm.

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Books on the topic "Electronic health record systems"

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

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Williams, Trenor. Electronic health records for dummies. Wiley, 2011.

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Sinha, Pradeep K. Electronic health records: Standards, coding systems, frameworks, and infrastructures. John Wiley & Sons, 2012.

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Eichenwald, Shirley. Using the electronic health record in the health care provider practice. Thomson Delmar Learning, 2008.

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MA, Miller Joe, and Healthcare Information and Management Systems Society., eds. Implementing the electronic health record: Case studies and strategies for success. Healthcare Information and Management Systems Society, 2005.

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

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Amatayakul, Margaret K. Electronic health records: Transforming your medical practice. 2nd ed. MGMA, 2010.

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Susan, Dorfman, ed. Electronic health records: Strategies for long-term success. Health Administration Press, 2013.

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Amatayakul, Margaret K. Electronic health records: Transforming your medical practice. 2nd ed. MGMA, 2010.

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Book chapters on the topic "Electronic health record systems"

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Shabo, Amnon. "Electronic Health Record." In Encyclopedia of Database Systems. 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. 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. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_48.

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

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Tang, Paul C., and Clement J. McDonald. "Electronic Health Record Systems." In Health Informatics. Springer New York, 2006. http://dx.doi.org/10.1007/0-387-36278-9_12.

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McDonald, Clement J., Paul C. Tang, and George Hripcsak. "Electronic Health Record Systems." In Biomedical Informatics. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_12.

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Bisbal, Jesus. "Electronic Health Record Systems." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_630.

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Bisbal, Jesus. "Electronic Health Records." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_222.

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Vimalachandran, Pasupathy, Hua Wang, and Yanchun Zhang. "Securing Electronic Medical Record and Electronic Health Record Systems Through an Improved Access Control." In Health Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19156-0_3.

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Kök, Orhun Mustafa, Nuri Basoglu, and Tugrul U. Daim. "Adoption Factors of Electronic Health Record Systems." In Healthcare Technology Innovation Adoption. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17975-9_8.

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Conference papers on the topic "Electronic health record systems"

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Patil, Rachana, Abhishek Bamnote, Aditya Bisoyi, Yash Patel, and Siddharth Nalawade. "Consent Based Electronic Health Record Sharing System." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10775032.

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Rana, Abhijay, Kevin Lu, and Rudransh Singh. "Enhancing Electronic Health Record Systems with Serverless Blockchain Integration." In 2024 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI). IEEE, 2024. http://dx.doi.org/10.1109/ccci61916.2024.10736469.

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Peddu, Lingeswara Reddy, Aditya Mishra, Amirineni Rama L. Padmaja, Rekha G, Palanikumar S, and R. K. Pongiannan. "MediVault DApp: A Electronic Health Record Application Using Blockchain Technology." In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS). IEEE, 2025. https://doi.org/10.1109/icmlas64557.2025.10967615.

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Parshionikar, Sangeeta, Aarush Verulkar, and Ashay Katkar. "Intellihealth – A Secured Decentralized Electronic Health Record System using Blockchain." In 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS). IEEE, 2024. https://doi.org/10.1109/icbds61829.2024.10837083.

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Samonte, Mary Jane C., Jon Eril R. Aparize, Joyous M. Geronimo, and Crispin C. Oriño. "Implementing Zero Trust Security in Microservice Architecture of Electronic Health Record." In 2024 4th International Conference on Computer Systems (ICCS). IEEE, 2024. https://doi.org/10.1109/iccs62594.2024.10795827.

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Reddy, Sadhula Srihari, and Murali Mohan Vutukuru. "Open Electronic Health Record Mechanism for Interoperable Cloud Performance and Confidentiality." In 2025 International Conference on Electronics and Renewable Systems (ICEARS). IEEE, 2025. https://doi.org/10.1109/icears64219.2025.10941055.

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Singhal, Pooja, Shelly Gupta, Shrikant Mapari, Malathy Sathyamoorthy, Manoj Kumar, and Shweta Arora. "A Proposed Block chain Based Secure Electronic Health Record System." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545232.

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Kanna, R. Kishore, R. Anitha, K. Sundaramoorthy, Ayodeji Olalekan Salau, Archibald Danquah-Amoah, and Sudharani B. Banappagoudar. "Smart Cloud Computing Approach for Electronic based Health Record System." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927286.

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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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Husamaldin, Laden, Parisa Saadati, and Favour Aladesuru. "Enhancing Organisational Readiness: The Critical Role of Health Informatics Clinicians in Implementing Electronic Health Record Systems." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836300.

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Reports on the topic "Electronic health record systems"

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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, 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0014.1801.

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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 recommendati
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Barclay, Colleen, Meera Viswanathan, Shana Ratner, Julia Tompkins, and Daniel E. Jonas. Implementing Evidence-Based Screening and Counseling for Unhealthy Alcohol Use With Epic-Based Electronic Health Record Tools. A Guide for Clinics and Health Systems, Developed as Part of a Pilot Dissemination Project. Agency for Healthcare Research and Quality (AHRQ), 2018. http://dx.doi.org/10.23970/ahrqepcmethengagealcoholguide.

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Jung, Seyoung, Ho-young Lee, Haeun Lee, et al. The Digital Transformation of Seoul National University Bundang Hospital. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0005682.

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This case study underscores the significance of digitalization in healthcare, exemplified by Korea's successful integration of electronic health record (EHR) systems, which has markedly enhanced clinical services quality and efficiency. Focusing on the Seoul National University Bundang Hospital (SNUBH), a leading national multispecialty academic medical center in Korea, the case study details the hospital's journey towards digitalization through the implementation of its interoperable EHR system, BESTCare. Through focus group interviews with field-deployed staff, the study reveals the critical
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Wang, Zhen, Colin P. West, Brianna E. Vaa Stelling, et al. Measuring Documentation Burden in Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepctb47.

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Background. The 2009 enactment of the Health Information Technology for Economic and Clinical Health (HITECH) Act and the wide adoption of electronic health record systems (EHR) have ushered an increasing documentation burden, frequently cited as a key factor affecting the work experience of healthcare professionals and a contributor to burnout. Purpose. This Technical Brief aims to identify: (1) measures of documentation burden, including evaluation of validity evidence, strengths, and weaknesses; (2) different perspectives on the appropriateness of different measures of documentation burden;
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Holmer, Haley K., Suchitra Iyer, Celia Fiordalisi, et al. Supplementing Systematic Review Findings With Healthcare System Data: Pilot Projects From the Agency for Healthcare Research and Quality Evidence-based Practice Center Program. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcwhitepapersupplementing.

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Objectives. The Agency for Healthcare Research and Quality (AHRQ), through the Evidence-based Practice Center (EPC) Program, aims to provide health system decision makers with the highest-quality evidence to inform clinical decisions. However, limitations in the literature may lead to inconclusive findings in EPC systematic reviews (SRs). The EPC Program conducted pilot projects to understand the feasibility, benefits, and challenges of utilizing health system data to augment SR findings to support confidence in healthcare decision making based on real-world experiences. Study Design and Setti
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Schumacher, Robert M., and Svetlana Z. Lowry. Customizzed common industry format template for electronic health record usability testing. 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, et al. Developing Statistical Methods for Estimating Phenotypes Using Electronic Health Record Data. Patient-Centered Outcomes Research Institute (PCORI), 2021. http://dx.doi.org/10.25302/03.2021.me.151132666.

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Xue, Bingjin, and Chad Meyerhoefer. The Effects of Switching Electronic Health Record Developer on Specialty Referrals. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33861.

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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), 2022. http://dx.doi.org/10.25302/08.2022.me.160936207.

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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. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada608042.

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