98%
921
2 minutes
20
A prior randomized controlled trial (RCT) showed no significant difference in wrong-patient errors between clinicians assigned to a restricted electronic health record (EHR) configuration (limiting to 1 record open at a time) versus an unrestricted EHR configuration (allowing up to 4 records open concurrently). However, it is unknown whether an unrestricted EHR configuration is more efficient. This substudy of the RCT compared clinician efficiency between EHR configurations using objective measures. All clinicians who logged onto the EHR during the substudy period were included. The primary outcome measure of efficiency was total active minutes per day. Counts were extracted from audit log data, and mixed-effects negative binomial regression was performed to determine differences between randomized groups. Incidence rate ratios (IRRs) were calculated with 95% confidence intervals (CIs). Among a total of 2556 clinicians, there was no significant difference between unrestricted and restricted groups in total active minutes per day (115.1 vs 113.3 min, respectively; IRR, 0.99; 95% CI, 0.93-1.06), overall or by clinician type and practice area.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114017 | PMC |
http://dx.doi.org/10.1093/jamia/ocad025 | DOI Listing |
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFComput Biol Med
August 2025
School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, Australia.
Despite rapid healthcare digitization, extracting information from unstructured electronic health records (EHRs), such as nursing notes, remains challenging due to inconsistencies and ambiguities in clinical documentation. Generative large language models (LLMs) have emerged as promising tools for automating information extraction (IE); however, their application in real-world clinical settings, such as residential aged care (RAC), is limited by critical gaps. Prior studies have often focused on structured EHR data and conventional evaluation metrics such as accuracy and F1 score, overlooking critical aspects like robustness, fairness, bias, and contextual relevance, particularly in unstructured clinical narratives.
View Article and Find Full Text PDFJMIR Med Inform
August 2025
Information Science Department, College of Life Sciences, Kuwait University, Sabah AlSalem University City, P.O. Box 5969, Kuwait City, 13060, Kuwait, 965 24633096.
Background: Electronic health records (EHRs) play a critical role in today's health care by enhancing data management, improving workflows, and supporting clinical decision-making. However, EHR implementation introduces technical and clinical challenges that can compromise patient safety. The Safety Assurance Factors for Electronic Health Record Resilience guides, developed by the Office of the National Coordinator for Health Information Technology, provide a structured framework for evaluating and optimizing EHR safety practices.
View Article and Find Full Text PDFJ Org Chem
August 2025
Philipps-University Marburg, Department of Chemistry, Hans-Meerwein-Straße 4, 35043 Marburg, Germany.
We describe the first synthesis of the natural cyclic hexapeptide Fusahexin (-ala-Leu-ehr=Pro-leu-Leu) () containing the bicyclic dipeptide ehr=Pro, a tetrahydro-1,3-oxazin-4-one formed from erythronine and proline. Fusahexin and several other peptides were obtained either by using the bicyclic dipeptide Fmoc-ehr=Pro-OH () in SPPS or by late-stage oxidation of a precursor peptide aldehyde. In all cases studied, the bicyclic dipeptide ehr=Pro cyclizes by acid-promoted condensation, forming the bridge head of the fused bicyclic ring exclusively in configuration.
View Article and Find Full Text PDFHealthc Manage Forum
July 2025
Alberta Health Services, Alberta, Canada.
Electronic Health Record (EHR) systems can help to improve patient safety by reducing common errors, but they can also introduce new safety risks associated with the technology itself. The application of Human Factor (HF) methods in an EHR implementation project is critical to identify usability issues early and optimize the build to ensure safety, efficiency, and alignment with clinical workflows. Despite the benefits, inclusion of HF evaluations can have time and resource costs which must be accounted for in the overall project plans and timelines.
View Article and Find Full Text PDF