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Journal articles on the topic 'EHR'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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Nolan, Matthew, Rizwan Siwani, Haytham Helmi, Brian Pickering, Pablo Moreno-Franco, and Vitaly Herasevich. "Health IT Usability Focus Section: Data Use and Navigation Patterns among Medical ICU Clinicians during Electronic Chart Review." Applied Clinical Informatics 08, no. 04 (2017): 1117–26. http://dx.doi.org/10.4338/aci-2017-06-ra-0110.

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Background A detailed understanding of electronic health record (EHR) workflow patterns and information use is necessary to inform user-centered design of critical care information systems. While developing a longitudinal medical record visualization tool to facilitate electronic chart review (ECR) for medical intensive care unit (MICU) clinicians, we found inadequate research on clinician–EHR interactions. Objective We systematically studied EHR information use and workflow among MICU clinicians to determine the optimal selection and display of core data for a revised EHR interface. Methods W

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Rosenberg, Tziporah. "Ehr." Families, Systems, & Health 34, no. 3 (2016): 303. http://dx.doi.org/10.1037/fsh0000215.

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Felix Gomez, Grace Gomez, Steven T. Hugenberg, Susan Zunt, et al. "Characterizing clinical findings of Sjögren’s Disease patients in community practices using matched electronic dental-health record data." PLOS ONE 18, no. 7 (2023): e0289335. http://dx.doi.org/10.1371/journal.pone.0289335.

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Established classifications exist to confirm Sjögren’s Disease (SD) (previously referred as Sjögren’s Syndrome) and recruit patients for research. However, no established classification exists for diagnosis in clinical settings causing delayed diagnosis. SD patients experience a huge dental disease burden impairing their quality of life. This study established criteria to characterize Indiana University School of Dentistry (IUSD) patients’ SD based on symptoms and signs in the electronic health record (EHR) data available through the state-wide Indiana health information exchange (IHIE). Assoc

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Chauhan, Zain, Mohammad Samarah, Kim Unertl, and Martha Jones. "Adoption of Electronic Dental Records: Examining the Influence of Practice Characteristics on Adoption in One State." Applied Clinical Informatics 09, no. 03 (2018): 635–45. http://dx.doi.org/10.1055/s-0038-1667331.

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Objective Compared with medicine, less research has focused on adoption rates and factors contributing to the adoption of electronic dental records (EDRs) and certified electronic health records (EHRs) in the field of dentistry. We ran two multivariate models on EDR adoption and certification-capable EHR adoption to determine environmental and organizational factors associated with adoption. Methods We conducted telephone survey of a 10-item questionnaire using disproportionate stratified sampling procedure of 149 dental clinics in Tennessee in 2017 measuring adoption of dental information tec

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Panigrahi, Amrutanshu, Ajit Kumar Nayak, and Rourab Paul. "HealthCare EHR." International Journal of Information Systems and Supply Chain Management 15, no. 3 (2022): 1–15. http://dx.doi.org/10.4018/ijisscm.290017.

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Blockchain technology is currently playing a significant role in providing a secure and effective means to share information in a variety of domains, including the financial sector, supply chain management (SCM) in various domains, IoT, and the field of health care systems (HCS). The HCS application's interoperability and security allow patients and vendors to communicate information seamlessly. The absence of such traits reveals the patient's difficulties in gaining access to his or her own health status. As a result, incorporating blockchain technology will eliminate this disadvantage, allow

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Sriram, Indira, Robin Holland, and Steven R. Lowenstein. "I, EHR." Journal of Hospital Medicine, Volume 15, Issue 02 (May 10, 2019): 119–20. http://dx.doi.org/10.12788/jhm.3211.

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OʼBrien, Ann, Charlotte Weaver, Theresa (Tess) Settergren, Mary L. Hook, and Catherine H. Ivory. "EHR Documentation." Nursing Administration Quarterly 39, no. 4 (2015): 333–39. http://dx.doi.org/10.1097/naq.0000000000000132.

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Thede, Linda Q. "EHR Data." AJN, American Journal of Nursing 120, no. 4 (2020): 13. http://dx.doi.org/10.1097/01.naj.0000659948.46046.cd.

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Classen, David C., Christopher A. Longhurst, Taylor Davis, Julia Adler Milstein, and David W. Bates. "Inpatient EHR User Experience and Hospital EHR Safety Performance." JAMA Network Open 6, no. 9 (2023): e2333152. http://dx.doi.org/10.1001/jamanetworkopen.2023.33152.

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IMPORTANCEDespite the broad adoption and optimization of electronic health record (EHR) systems across the continuum of care, serious usability and safety problems persist.OBJECTIVETo assess whether EHR safety performance is associated with EHR frontline user experience in a national sample of hospitals.DESIGN, SETTING, AND PARTICIPANTSThis cross-sectional study included all US adult hospitals that used the National Quality Forum Leapfrog Health IT Safety Measure and also used the ARCH Collaborative EHR User experience survey from January 1, 2017, to January 1, 2019. Data analysis was performe

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Nguyen, Oliver T., Kea Turner, Nate C. Apathy, et al. "Primary care physicians’ electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis." Journal of the American Medical Informatics Association 29, no. 3 (2021): 461–71. http://dx.doi.org/10.1093/jamia/ocab272.

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Abstract Objective This study aimed to understand the association between primary care physician (PCP) proficiency with the electronic health record (EHR) system and time spent interacting with the EHR. Materials and Methods We examined the use of EHR proficiency tools among PCPs at one large academic health system using EHR-derived measures of clinician EHR proficiency and efficiency. Our main predictors were the use of EHR proficiency tools and our outcomes focused on 4 measures assessing time spent in the EHR: (1) total time spent interacting with the EHR, (2) time spent outside scheduled c

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Sinha, Amrita, Lindsay A. Stevens, Felice Su, Natalie M. Pageler, and Daniel S. Tawfik. "Measuring Electronic Health Record Use in the Pediatric ICU Using Audit-Logs and Screen Recordings." Applied Clinical Informatics 12, no. 04 (2021): 737–44. http://dx.doi.org/10.1055/s-0041-1733851.

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Abstract Background Time spent in the electronic health record (EHR) has been identified as an important unit of measure for health care provider clinical activity. The lack of validation of audit-log based inpatient EHR time may have resulted in underuse of this data in studies focusing on inpatient patient outcomes, provider efficiency, provider satisfaction, etc. This has also led to a dearth of clinically relevant EHR usage metrics consistent with inpatient provider clinical activity. Objective The aim of our study was to validate audit-log based EHR times using observed EHR-times extracte

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Aprilia, Dini. "Implementasi Rekam Medis Elektronik di Kalangan Perawat Rumah Sakit: A Scoping Review." Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo 10, no. 2 (2024): 249. http://dx.doi.org/10.29241/jmk.v10i2.1918.

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Rekam medis elektronik (Electronic Health Records, EHR) kian populer di rumah sakit untuk meningkatkan komunikasi, perawatan pasien, serta mengurangi kesalahan administrasi, tetapi transisi dari sistem berbasis kertas ke EHR memunculkan isu kerahasiaan, performa sistem, dan beban kerja perawat. Tujuan dari tinjauan ini adalah untuk mengevaluasi bagaimana perawat rumah sakit mengimplementasikan EHR. Menggunakan paradigma Arskey dan O'Malley, tinjauan skop ini mencari data dari dua basis data, yaitu CINAHL Plus dengan Full Text, Academic Search Complete, dan Scopus dengan kata kunci tertentu, me

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Saleem, Jason J., and Jennifer Herout. "Transitioning from one Electronic Health Record (EHR) to Another: A Narrative Literature Review." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 489–93. http://dx.doi.org/10.1177/1541931218621112.

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This paper reports the results of a literature review of health care organizations that have transitioned from one electronic health record (EHR) to another. Ten different EHR to EHR transitions are documented in the academic literature. In eight of the 10 transitions, the health care organization transitioned to Epic, a commercial EHR which is dominating the market for large and medium hospitals and health care systems. The focus of the articles reviewed falls into two main categories: (1) data migration from the old to new EHR and (2) implementation of the new EHR as it relates to patient sa

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Calonder, Sarah, and Aimee Woda. "Student Use of Electronic Health Records to Inform Decision-Making: A Pilot Study." Journal of Nursing Education 63, no. 12 (2024): 854–56. https://doi.org/10.3928/01484834-20240627-01.

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Background As health care continues to evolve, the electronic medical record (EHR) has emerged as an important decision-making tool. To ensure that nursing students work toward competency with the EHR, this study sought to gather information regarding how students use the EHR. Method Students in a direct-entry, prelicensure program were observed using the EHR during a simulation-based experience (SBE). Focus groups gathered qualitative student perceptions of EHR use. Results Minimal use of the EHR during SBE was identified. Students reported using the EHR for information gathering, validating

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Anderson, Jacob, Jason Leubner, and Steven R. Brown. "EHR Overtime: An Analysis of Time Spent After Hours by Family Physicians." Family Medicine 52, no. 2 (2020): 135–37. http://dx.doi.org/10.22454/fammed.2020.942762.

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Background and Objectives: Time spent in the electronic health record (EHR), away from direct patient care, is associated with physician burnout. Yet there is a lack of evidence quantifying EHR use among family physicians. The purpose of the study was to describe a method for quantifying habits and duration of use within the electronic health record in family medicine residents and faculty with particular attention paid to time spent after hours. Methods: We audited EHR time for family medicine residents and faculty using an EHR vendor-provided, web-based tracking system. We collected and anal

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Pradanthi, Ines Meiyola, Maya Weka Santi, and Atma Deharja. "Evaluasi Electronic Health Record (EHR) dengan Metode PIECES di Unit Rekam Medis Pusat RSUPN dr. Cipto Mangunkusumo." J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan 1, no. 3 (2020): 216–25. http://dx.doi.org/10.25047/j-remi.v1i3.2047.

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National Center General Hospital Dr. Cipto Mangunkusumo is one of the hospitals whose services haveused Hospital Management Information System (SIMRS). The SIMRS used in RSCM is called the ElectronicHealth Record (EHR). In its application, there were still obstacles that made the staff less satisfied with theEHR, one of which was the loading of the EHR. The purpose of this study is to evaluate the EHR in termsof user satisfaction using the PIECES method (performance, information, economic, control, efficiency,service). This type of research is qualitative research, by describing the results of

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Alsadi, Mohammad, Ali Saleh, Malek Khalil, and Islam Oweidat. "Readiness-Based Implementation of Electronic Health Records." Creative Nursing 28, no. 1 (2022): 42–47. http://dx.doi.org/10.1891/cn-2021-0024.

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Electronic health record (EHR) implementation is expanding worldwide to achieve the benefits of that technology, but it is reported in the literature as a “disruptive” change to the work environment in which all health-care workers need to be ready for the change, to enhance adoption and harvest the benefits. Jordan has rolled out a national EHR system. This study explored EHR implementation readiness, levels of realizing the benefits of EHR, and adoption among Jordanian nurses, using a self-report questionnaire at nine governmental hospitals in Jordan. A total of 462 registered nurses partici

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Ziebell, Robert-Christian, Jose Albors-Garrigos, Martin Schultz, Klaus Peter Schoeneberg, and M. Rosario Perello-Marin. "eHR Cloud Transformation." International Journal of Intelligent Information Technologies 15, no. 1 (2019): 1–21. http://dx.doi.org/10.4018/ijiit.2019010101.

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The article covers process models for HR IT projects and in particular for HR transformation projects. Based on the authors' experience, an applied process model for HR transformation projects in a cloud-based environment is derived. The article identifies findings applicable to the fields of organisation, business, and IT as well as decisions and critical success factors in the specific context of cloud-based HR solutions.

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Chan, Wiley. "P012 The EHR." BMJ Quality & Safety 22, Suppl 1 (2013): A5.1—A5. http://dx.doi.org/10.1136/bmjqs-2013-002293.12.

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Adapala, Vijay. "Optimizing EHR Data." Journal of Clinical Engineering 49, no. 4 (2024): 140–42. http://dx.doi.org/10.1097/jce.0000000000000663.

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Electronic health records (EHRs) contribute to quality-of-care delivery directly. With a comprehensive and effective use of EHR data, healthcare providers can create precise, personalized treatment plans and seamlessly communicate across departments. By optimizing the data in a health system, clinical engineers can improve these processes and, subsequently, patient flow. This article combines case studies and existing research to explore the challenges and opportunities in current EHR data systems, how evolving artificial intelligence tools can be used to improve data utilization, and the impo

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Sensmeier, Joyce E. "Advancing the EHR." Nursing Management (Springhouse) 40, no. 3 (2009): 19–23. http://dx.doi.org/10.1097/01.numa.0000347408.27460.a9.

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Gomez, Robin. "EHR upgrade considerations." Nursing Management (Springhouse) 41, no. 12 (2010): 35–37. http://dx.doi.org/10.1097/01.numa.0000390464.11624.d6.

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East, Thomas D. "The EHR Paradox." Frontiers of Health Services Management 22, no. 2 (2005): 33–35. http://dx.doi.org/10.1097/01974520-200510000-00005.

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NOTTE, CHRISTOPHER, and NEIL SKOLNIK. "Affording Your EHR." Family Practice News 41, no. 16 (2011): 53. http://dx.doi.org/10.1016/s0300-7073(11)70874-x.

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NOTTE, CHRISTOPHER, and NEIL SKOLNIK. "Affording Your EHR." Internal Medicine News 44, no. 16 (2011): 52. http://dx.doi.org/10.1016/s1097-8690(11)70846-0.

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Avitzur, Orly. "EHR Bake-offs." Neurology Today 8, no. 24 (2008): 15–16. http://dx.doi.org/10.1097/01.nt.0000308765.80460.50.

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Rubin, Rita. "Preventing EHR Confusion." JAMA 321, no. 8 (2019): 734. http://dx.doi.org/10.1001/jama.2019.0609.

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Culver, Danette. "EHR burden reduction." American Nurse Journal 18, no. 4 (2023): 60. http://dx.doi.org/10.51256/anj042360.

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Herout, Jennifer, Jason J. Saleem, Matthew Weinger, et al. "EHR to EHR Transitions: Establishing and Growing a Knowledge Base." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 513–17. http://dx.doi.org/10.1177/1541931218621117.

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Although numerous healthcare organizations have transitioned from one electronic health record (EHR) to another or are currently planning a transition, there are few documented artifacts, such as published studies or operationalizable resources, that offer guidance on such transitions. This panel seeks to begin a conversation about human factors considerations in EHR transitions from a legacy system. Panel members will discuss current literature and research on the topic as well as experiences with and lessons learned from transitions within their organizations. Panel discussion can be expecte

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Chen, Lu, Uta Guo, Lijo C. Illipparambil, et al. "Racing Against the Clock: Internal Medicine Residents' Time Spent On Electronic Health Records." Journal of Graduate Medical Education 8, no. 1 (2016): 39–44. http://dx.doi.org/10.4300/jgme-d-15-00240.1.

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ABSTRACT Background Since the late 1980s, resident physicians have spent increasing amounts of time on electronic health record (EHR) data entry and retrieval. Objective longitudinal data measuring time spent on the EHR are lacking. Objective We sought to quantify the time actually spent using the EHR by all first-year internal medicine residents in a single program (N = 41). Methods Active EHR usage data were collected from the audit logs for May, July, and October 2014 and January 2015. Per recommendations from our EHR vendor (Cerner Corporation), active EHR usage time was defined as more th

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Sandoval, Marie B., Mary Val Palumbo, and Vicki Hart. "Electronic Health Record's Effects on the Outpatient Office Visit and Clinical Education." Journal of Innovation in Health Informatics 23, no. 4 (2017): 765. http://dx.doi.org/10.14236/jhi.v23i4.151.

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Background: During an office visit, the provider has the important cognitive task of attending to the patient while actively using the electronic health record (EHR). Prior literature suggests that EHR may have a positive effect on simple tasks, but a negative effect on tasks that require complex cognitive processes. No study has examined the provider’s perception of EHR on multiple distinct aspects of the office visit.Methods: We surveyed providers/preceptors regarding their perception of EHR on multiple aspects of the office visit. We summarized their EHR utilization history and their percep

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Burke, Harry B., Laura L. Sessums, Albert Hoang, et al. "Electronic health records improve clinical note quality." Journal of the American Medical Informatics Association 22, no. 1 (2014): 199–205. http://dx.doi.org/10.1136/amiajnl-2014-002726.

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Abstract Background and objective The clinical note documents the clinician's information collection, problem assessment, clinical management, and its used for administrative purposes. Electronic health records (EHRs) are being implemented in clinical practices throughout the USA yet it is not known whether they improve the quality of clinical notes. The goal in this study was to determine if EHRs improve the quality of outpatient clinical notes. Materials and methods A five and a half year longitudinal retrospective multicenter quantitative study comparing the quality of handwritten and elect

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DiAngi, Yumi T., Lindsay A. Stevens, Bonnie Halpern – Felsher, Natalie M. Pageler, and Tzielan C. Lee. "Electronic health record (EHR) training program identifies a new tool to quantify the EHR time burden and improves providers’ perceived control over their workload in the EHR." JAMIA Open 2, no. 2 (2019): 222–30. http://dx.doi.org/10.1093/jamiaopen/ooz003.

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AbstractObjectiveTo understand if providers who had additional electronic health record (EHR) training improved their satisfaction, decreased personal EHR-use time, and decreased turnaround time on tasks.Materials and MethodsThis pre-post study with no controls evaluated the impact of a supplemental EHR training program on a group of academic and community practice clinicians that previously had go-live group EHR training and 20 months experience using this EHR on self-reported data, calculated EHR time, and vendor-reported metrics.ResultsProviders self-reported significant improvements in the

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Micek, Mark A., Brian Arndt, Wen-Jan Tuan, et al. "Physician Burnout and Timing of Electronic Health Record Use." ACI Open 04, no. 01 (2020): e1-e8. http://dx.doi.org/10.1055/s-0039-3401815.

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Abstract Background Rates of burnout among physicians have been high in recent years. The electronic health record (EHR) is implicated as a major cause of burnout. Objective This article aimed to determine the association between physician burnout and timing of EHR use in an academic internal medicine primary care practice. Methods We conducted an observational cohort study using cross-sectional and retrospective data. Participants included primary care physicians in an academic outpatient general internal medicine practice. Burnout was measured with a single-item question via self-reported su

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Boitshoko, Oabile Lesley, Irina Zlotnikova, Malatsi Galani, and Tshiamo Sigwele. "Exploring Factors Affecting Nurses' Actual Use of Electronic Health Records in Resource-Limited Settings in Botswana." Journal of Health Care for the Poor and Underserved 36, no. 1 (2025): 209–39. https://doi.org/10.1353/hpu.2025.a951594.

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Abstract: This study investigates factors influencing nurses' actual use of electronic health record (EHR) systems in resource-limited settings in Botswana, with a focus on addressing barriers to EHR adoption and utilization. Despite the potential benefits of EHR systems, many nurses continue to rely on paper-based records, hampering health care delivery in underserved areas. Using a cross-sectional survey of 193 nurses from 55 health care facilities, this research identifies key predictors of EHR use. The modified Unified Theory of Acceptance and Use of Technology (UTAUT) model developed in t

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Gilleland, Meghan, Katherine Komis, Sonya Chawla, Stephen Fernandez, Mary Fishman, and Michael Adams. "Resident Duty Hours in the Outpatient Electronic Health Record Era: Inaccuracies and Implications." Journal of Graduate Medical Education 6, no. 1 (2014): 151–54. http://dx.doi.org/10.4300/jgme-d-13-00061.1.

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Abstract Background The Accreditation Council for Graduate Medical Education expects resident duty hours to be monitored, yet no previous studies have examined the effect of after-hours electronic health record (EHR) use on resident hours or burnout. Objective We assessed internal medicine residents' perceived and actual time spent on after-hours outpatient EHR use and calculated increased duty hours if after-hours EHR use were included; we also assessed its effect on resident burnout. Methods We retrospectively aggregated time spent logged on to the outpatient EHR for residents in a general i

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Burke, Harry B., Dorothy A. Becher, Albert Hoang, and Ronald W. Gimbel. "The adoption of an electronic health record did not improve A1c values in Type 2 diabetes." Journal of Innovation in Health Informatics 23, no. 1 (2016): 433. http://dx.doi.org/10.14236/jhi.v23i1.144.

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Background: A major justification for the clinical adoption of electronic health records (EHRs) was the expectation that it would improve the quality of medical care. No longitudinal study has tested this assumption.Objective: We used hemoglobin A1c, a recognized clinical quality measure directly related to diabetes outcomes, to assess the effect of EHR use on clinical quality.Methods: We performed a five-and-one-half-year multicentre longitudinal retrospective study of the A1c values of 537 type 2 diabetic patients. The same patients had to have been seen on at least three occasions: once app

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Long, Christopher P., Ming Tai-Seale, Robert El-Kareh, Jeffrey E. Lee, and Sally L. Baxter. "Electronic Health Record Use among Ophthalmology Residents while on Call." Journal of Academic Ophthalmology 12, no. 02 (2020): e143-e150. http://dx.doi.org/10.1055/s-0040-1716411.

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Abstract Background As electronic health record (EHR) use becomes more widespread, detailed records of how users interact with the EHR, known as EHR audit logs, are being used to characterize the clinical workflows of physicians including residents. After-hours EHR use is of particular interest given its known association with physician burnout. Several studies have analyzed EHR audit logs for residents in other fields, such as internal medicine, but none thus far in ophthalmology. Here, we focused specifically on EHR use during on-call shifts outside of normal clinic hours. Methods In this re

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Katamanin, Olivia, and Alex M. Glazer MD. "Dermatologists' Perceptions and Use of Electronic Health Record Systems." SKIN The Journal of Cutaneous Medicine 4, no. 5 (2020): 404–7. http://dx.doi.org/10.25251/skin.4.5.2.

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Introduction: Electronic Health Records (EHR) have been adopted and integrated into medical practices over the past 20 years. Many positive and negative implications have been described by physicians using EHR. This study aims to US dermatologists' perceptions and use of EHR within their clinical practice. Methods: A validated survey was administered to US dermatologists at a national educational conference to assess use and perceptions of EHR. Results Seventy-two percent (291/400) of those sampled completed greater than 90% survey and were included in outcome analysis. Eighty-six percent of t

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Melnick, Edward R., Shawn Y. Ong, Allan Fong, et al. "Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis." Journal of the American Medical Informatics Association 28, no. 7 (2021): 1383–92. http://dx.doi.org/10.1093/jamia/ocab011.

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Abstract Objective To derive 7 proposed core electronic health record (EHR) use metrics across 2 healthcare systems with different EHR vendor product installations and examine factors associated with EHR time. Materials and Methods A cross-sectional analysis of ambulatory physicians EHR use across the Yale-New Haven and MedStar Health systems was performed for August 2019 using 7 proposed core EHR use metrics normalized to 8 hours of patient scheduled time. Results Five out of 7 proposed metrics could be measured in a population of nonteaching, exclusively ambulatory physicians. Among 573 phys

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Hernandez-Boussard, Tina, Keri L. Monda, Blai Coll Crespo, and Dan Riskin. "Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies." Journal of the American Medical Informatics Association 26, no. 11 (2019): 1189–94. http://dx.doi.org/10.1093/jamia/ocz119.

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Abstract Objective With growing availability of digital health data and technology, health-related studies are increasingly augmented or implemented using real world data (RWD). Recent federal initiatives promote the use of RWD to make clinical assertions that influence regulatory decision-making. Our objective was to determine whether traditional real world evidence (RWE) techniques in cardiovascular medicine achieve accuracy sufficient for credible clinical assertions, also known as “regulatory-grade” RWE. Design Retrospective observational study using electronic health records (EHR), 2010–2

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Ming, Yang, and Tingting Zhang. "Efficient Privacy-Preserving Access Control Scheme in Electronic Health Records System." Sensors 18, no. 10 (2018): 3520. http://dx.doi.org/10.3390/s18103520.

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The sharing of electronic health records (EHR) in cloud servers is an increasingly important development that can improve the efficiency of medical systems. However, there are several concerns focusing on the issues of security and privacy in EHR system. The EHR data contains the EHR owner’s sensitive personal information, if these data are obtained by a malicious user, it will not only cause the leakage of patient’s privacy, but also affect the doctor’s diagnosis. It is a very challenging problem for the EHR owner fully controls over own EHR data as well as preserves the privacy of himself. I

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Huang, Michael, Candace Gibson, and Amanda Terry. "Measuring Electronic Health Record Use in Primary Care: A Scoping Review." Applied Clinical Informatics 09, no. 01 (2018): 015–33. http://dx.doi.org/10.1055/s-0037-1615807.

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Background Simple measures of electronic health record (EHR) adoption may be inadequate to evaluate EHR use; and positive outcomes associated with EHRs may be better gauged when varying degrees of EHR use are taken into account. In this article, we aim to assess the current state of the literature regarding measuring EHR use. Objective This article conducts a scoping review of the literature to identify and classify measures of primary care EHR use with a focus on the Canadian context. Methods We conducted a scoping review. Multiple citation databases were searched, as well as gray literature

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Dobrzykowski, David D. "Examining Heterogeneous Patterns of Electronic Health Records Use." International Journal of Healthcare Information Systems and Informatics 7, no. 2 (2012): 1–16. http://dx.doi.org/10.4018/jhisi.2012040101.

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The basic use of Electronic Health Records (EHR) and the progression toward advanced EHR applications are key concerns facing leaders interested in integrating the healthcare delivery supply chain. Currently, substantial heterogeneity exists among hospitals in terms of EHR use and the progression toward advanced EHR applications. Understanding this heterogeneity is important as hospitals face pressure to adopt and achieve meaningful use of the technology. Contingency theory is tested herein to suggest that a hospital’s structural constraints may explain the heterogeneity among hospitals in ter

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Arul, P., and S. Renuka. "Hyperledger blockchain based secure storage of electronic health record system in edge nodes." Journal of Physics: Conference Series 2115, no. 1 (2021): 012034. http://dx.doi.org/10.1088/1742-6596/2115/1/012034.

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Abstract An Electronic Health Record (EHR) is a database for storing patients medical information collected from different sources such as smart wearable devices, smart sensors and diagnostic imaging equipment. An EHR contains sensitive private information for the patients and the treatment of their diseases. Furthermore, it’s often shared among different members consists of healthcare providers, insurance companies, medical researchers, and others. The main difficulty for EHR information management is the result of gathering, storing, and sharing patient healthcare without affecting privacy a

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Hassan Abed, DR Amira, and Ass Prof Hany Fathy Abdel-Elaah. "The Evaluation of Electronic Human Resources (eHR) Management based Internet of Things using Machine Learning Techniques." International Journal of Advanced Networking and Applications 16, no. 03 (2024): 6437–52. http://dx.doi.org/10.35444/ijana.2024.16310.

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The eHR solutions are frequently employed in large organizations and sectors. For the company, such eHR is extremely competent, congruent, affordable, and committed. These days, eHR is greatly impacted by the Internet of Things (IoT), which provides eHR functions like standards, privacy, and security with a variety of facilities and supports. There are several uses for eHR and IoT together to execute plans, rules, and practices inside the company. The five essential components of an eHR are e-Selection, e-Recruitment, e-Performance, eCompensation, and e-Learning. The suggested system in this s

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Mañas-García, Alejandro, José Alberto Maldonado, Mar Marcos, Diego Boscá, and Montserrat Robles. "Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources." Applied Sciences 11, no. 9 (2021): 3978. http://dx.doi.org/10.3390/app11093978.

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This work presents methods to combine data from the Semantic Web into existing EHRs, leading to an augmented EHR. An existing EHR extract is augmented by combining it with additional information from external sources, typically linked data sources. The starting point is a standardized EHR extract described by an archetype. The method consists of combining specific data from the original EHR with contents from the external information source by building a semantic representation, which is used to query the external source. The results are converted into a standardized EHR extract according to a

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Berntsen, K. E., and V. Heimly. "Consent-based Access to Core EHR Information." Methods of Information in Medicine 48, no. 02 (2009): 144–48. http://dx.doi.org/10.3414/me9214.

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Summary Objective: Lack of access to updated drug information is a challenge for healthcare providers in Norway. Drug charts are updated in separate EHR systems but exchange of drug information between them is lacking. In order to provide ready access to updated medication information, a project for consent-based access to a core EHR has been established. Methods: End users have developed requirements for additions to the medication modules in the EHR systems in cooperation with vendors, researchers and standardization workers. The modules are then implemented by the vendors, tested in the usa

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Banerjee, S., R. Kaushal, L. M. Kern, and Z. M. Grinspan. "Physician Specialty and Variations in Adoption of Electronic Health Records." Applied Clinical Informatics 04, no. 02 (2013): 225–40. http://dx.doi.org/10.4338/aci-2013-02-ra-0015.

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SummaryObjective: Efforts to promote adoption of electronic health records (EHRs) have focused on primary care physicians, who are now expected to exchange data electronically with other providers, including specialists. However, the variation of EHR adoption among specialists is underexplored.Methods: We conducted a retrospective cross-sectional study to determine the association between physician specialty and the prevalence of EHR adoption, and a retrospective serial cross-sectional study to determine the association of physician specialty and the rate of EHR adoption over time. We used the

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