Data from the 2011 Physician Workflow study In 2011, 55% of physicians had adopted an electronic health record (EHR) system. About three-quarters of physicians who have adopted an EHR system reported that their system meets federal "meaningful use" criteria. Eighty-five percent of physicians who have adopted an EHR system reported being somewhat (47%) or very (38%) satisfied with their system. About three-quarters of adopters reported that using their EHR system resulted in enhanced patient care. Nearly one-half of physicians currently without an EHR system plan to purchase or use one already purchased within the next year.
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JAMA
January 2025
Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT, Washington, DC.
Importance: Health information technology, such as electronic health records (EHRs), has been widely adopted, yet accessing and exchanging data in the fragmented US health care system remains challenging. To unlock the potential of EHR data to improve patient health, public health, and health care, it is essential to streamline the exchange of health data. As leaders across the US Department of Health and Human Services (DHHS), we describe how DHHS has implemented fundamental building blocks to achieve this vision.
View Article and Find Full Text PDFSchizophr Res
January 2025
Dell Medical School, The University of Texas at Austin, United States; Department of Psychiatry, Indiana University School of Medicine, United States.
Learning Health Systems (LHSs) promise meaningful health care improvement through the ongoing use of data, including the lived experience of diverse constituents, such as people participating in and providing services. Most LHSs operate within a specific healthcare system, typically hospital-based, under a common electronic health record (EHR) and management structure. The Early Psychosis Intervention Network in Texas (EPINET-TX) is a novel case study of a developing LHS across 16 independent community mental health clinics operating state-funded coordinated specialty care (CSC) programs for early psychosis.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37203, United States.
Objective: To develop a framework that models the impact of electronic health record (EHR) systems on healthcare professionals' well-being and their relationships with patients, using interdisciplinary insights to guide machine learning in identifying value patterns important to healthcare professionals in EHR systems.
Materials And Methods: A theoretical framework of EHR systems' implementation was developed using interdisciplinary literature from healthcare, information systems, and management science focusing on the systems approach, clinical decision-making, and interface terminologies.
Observations: Healthcare professionals balance personal norms of narrative and data-driven communication in knowledge creation for EHRs by integrating detailed patient stories with structured data.
Introduction: Addressing physician burnout is critical for healthcare systems. As electronic health record (EHR) workload and teamwork have been identified as major contributing factors to physician well-being, we aimed to mitigate burnout through EHR-based interventions and a compassion team practice (CTP), targeting EHR workload and team cohesion.
Methods: A modified stepped wedge-clustered randomized trial was conducted, involving specialties with heavy InBasket workloads.
Learn Health Syst
January 2025
Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia Pennsylvania USA.
Introduction: The rapid adoption of electronic health record (EHR) systems has resulted in extensive archives of data relevant to clinical research, hospital operations, and the development of learning health systems. However, EHR data are not frequently available, cleaned, standardized, validated, and ready for use by stakeholders. We describe an in-progress effort to overcome these challenges with cooperative, systematic data extraction and validation.
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