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To better understand clinician information needs and learning opportunities by exploring the use of best-practice algorithms across different training levels and specialties.

The International Classification of Health Interventions, currently being developed, seeks to span all sectors of the health system. Our objective was to test the draft classification's coverage of interventions commonly delivered by nurses, and propose changes to improve the utility and reliability of the classification for aggregating and analyzing data on nursing interventions.

The Global Alliance for Genomics and Health (GA4GH) created the Beacon Project as a means of testing the willingness of data holders to share genetic data in the simplest technical context-a query for the presence of a specified nucleotide at a given position within a chromosome. Each participating site (or "beacon") is responsible for assuring that genomic data are exposed through the Beacon service only with the permission of the [...]

Comorbidity adjustment is often performed during outcomes and health care resource utilization research. Our goal was to develop an efficient algorithm in structured query language (SQL) to determine the Elixhauser comorbidity index.

Nationwide initiatives have promoted greater adoption of health information technology as a means to reduce adverse drug events (ADEs). Hospital adoption of electronic health records with Meaningful Use (MU) capabilities expected to improve medication safety has grown rapidly. However, evidence that MU capabilities are associated with declines in in-hospital ADEs is lacking.

We conducted a meta-review to determine the reporting quality of user-centered digital interventions for the prevention and management of cardiometabolic conditions.

To investigate time differences in recording observations and an early warning score using traditional paper charts and a novel e-Obs system in clinical practice.

This scoping review aims to determine the size and scope of the published literature on shared decision-making (SDM) using personal health record (PHR) technology and to map the literature in terms of system design and outcomes.

MetaMap is a widely used named entity recognition tool that identifies concepts from the Unified Medical Language System Metathesaurus in text. This study presents MetaMap Lite, an implementation of some of the basic MetaMap functions in Java. On several collections of biomedical literature and clinical text, MetaMap Lite demonstrated real-time speed and precision, recall, and F1 scores comparable to or exceeding those of MetaMap and other popular biomedical text processing [...]

Few opportunities exist for physician trainees to gain exposure to, and training in, the field of clinical informatics, an Accreditation Council for Graduate Medical Education-accredited, recently board-certified specialty. Currently, 21 approved programs exist nationwide for the formal training of fellows interested in pursuing careers in this discipline. Residents and fellows training in medical and surgical fields, however, have few avenues available to gain experience in clinical informatics. An early introduction [...]