Explore the latest in electronic health records, including access and security, interoperability, clinical decision support, big data, and more.
This Viewpoint discusses ways in which vendors of electronic health record (EHR) systems can block the conduct and dissemination of EHR usability and safety research and calls for policies that promote the identification and communication of usability and safety issues.
This study evaluates the internal and external sources of and preventive steps for data breaches in health care organizations from 2009 to 2017.
This pre-post study examines whether reducing the quantity of computers on wheels enhances communication patterns during multidisciplinary rounds in the surgical intensive care unit.
This prepost intervention study investigates the association of lowering the default number of pills when prescribing opioids in an electronic medical record (EMR) system with the amount of opioid prescribed after procedures among patients undergoing common outpatient procedures.
This Viewpoint discusses the use of health information technologies to support health care delivery, outcomes research, and learning health care systems.
This crossover study of primary care physicians evaluates whether the use of medical scribes in primary care improves physician productivity and patient satisfaction.
This Special Communication explores potential biases in machine learning–based clinical decision support tools that use electronic health record (EHR) data and possible solutions to those biases.
This personal essay describes the ways in which an excessive focus on electronic health records can lead physicians to behave in ways that mimic the symptoms of autistic spectrum disorders.
This Viewpoint gives 5 recommendations for designing, testing, and implementing electronic health record systems optimized for providing care to pediatric patients.
This cluster randomized clinical trial compares clinical decision support with vs without practice facilitation to improve treatment of chronic kidney disease in primary care as measured by annualized loss of estimated glomerular filtration rate.
This diagnostic study compares a rules-based natural language processing (NLP) model with a machine learning (ML) model to detect bleeding events among patients in an intensive care unit (ICU) using clinical notes.
This cross-sectional study uses a simulated patient experience to evaluate the current state of medical records request processes of US hospitals in terms of compliance with federal and state regulations and ease of patient access.
This quality improvement study compares opioid prescribing rates in a single health system before and after a multipart intervention intended to decrease overprescribing.
This cohort study quantifies the association of neighborhood socioeconomic status with adverse outcomes and the value of neighborhood socioeconomic status in predicting the risk of adverse outcomes in electronic health record (EHR)–based risk models.
This quality improvement study compares differences in influenza vaccination rates by clinic appointment time and evaluates whether an active choice intervention in the electronic health record is associated with changes in vaccination rates.
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