Background: The electronic health record (EHR) has become increasingly ubiquitous. At the same time, health professionals have been turning to this resource for access to data that is needed for the delivery of health care and for clinical research. There is little doubt that the EHR has made both of these functions easier than earlier days when we relied on paper-based clinical records. Coupled with modern database and data warehouse systems, high-speed networks, and the ability to share clinical data with others are large number of challenges that arguably limit the optimal use of the EHR OBJECTIVES: Our goal was to provide an exhaustive reference for those who use the EHR in clinical and research contexts, but also for health information systems professionals as they design, implement, and maintain EHR systems.
Methods: This study includes a panel of 24 biomedical informatics researchers, information technology professionals, and clinicians, all of whom have extensive experience in design, implementation, and maintenance of EHR systems, or in using the EHR as clinicians or researchers. All members of the panel are affiliated with Penn Medicine at the University of Pennsylvania and have experience with a variety of different EHR platforms and systems and how they have evolved over time.
Results: Each of the authors has shared their knowledge and experience in using the EHR in a suite of 20 short essays, each representing a specific challenge and classified according to a functional hierarchy of interlocking facets such as usability and usefulness, data quality, standards, governance, data integration, clinical care, and clinical research.
Conclusion: We provide here a set of perspectives on the challenges posed by the EHR to clinical and research users.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295893 | PMC |
http://dx.doi.org/10.1055/s-0041-1731784 | DOI Listing |
Front Med (Lausanne)
January 2025
Clinical Informatics Fellowship Program, Baylor Scott & White Health, Round Rock, TX, United States.
Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could impact GME, including five key areas of opportunity: electronic health record (EHR) workload reduction, clinical simulation, individualized education, research and analytics support, and clinical decision support.
View Article and Find Full Text PDFJ Psoriasis Psoriatic Arthritis
January 2025
Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Background: Generalized pustular psoriasis (GPP) is a rare, chronic, often unpredictable, severe multisystemic autoinflammatory skin disease from which patients can experience flares, episodes of widespread eruptions of painful, sterile pustules often accompanied by systemic symptoms. The impact of GPP flares and underlying GPP severity on the healthcare resource utilization (HCRU) is not well characterized.
Objective: To quantify HCRU among US GPP patients by flare status and underlying severity.
Objective: Federated research networks, like Evolve to Next-Gen Accrual of patients to Clinical Trials (ENACT), aim to facilitate medical research by exchanging electronic health record (EHR) data. However, poor data quality can hinder this goal. While networks typically set guidelines and standards to address this problem, we developed an organically evolving, data-centric method using patient counts to identify data quality issues, applicable even to sites not yet in the network.
View Article and Find Full Text PDFThe COVID-19 pandemic has been associated with increased neuropsychiatric conditions in children and youths, with evidence suggesting that SARS-CoV-2 infection may contribute additional risks beyond pandemic stressors. This study aimed to assess the full spectrum of neuropsychiatric conditions in COVID-19 positive children (ages 5-12) and youths (ages 12-20) compared to a matched COVID-19 negative cohort, accounting for factors influencing infection risk. Using EHR data from 25 institutions in the RECOVER program, we conducted a retrospective analysis of 326,074 COVID-19 positive and 887,314 negative participants matched for risk factors and stratified by age.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Columbia University Vagelos College of Physicians and Surgeons, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA.
Objective: Hearing loss (HL) is associated with depression, but existing datasets are limited by the type of data available for both hearing and mental health conditions. The purpose of this study is to determine if there is an association between HL and depressive disorders within a large bi-institutional electronic health record (EHR) system containing more granular diagnostic information.
Study Design: Cross-sectional epidemiologic study.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!