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The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and expressive metadata for biomedical datasets to facilitate data discovery, data interpretation, and data reuse. We take advantage of emerging community-based standard templates for describing different kinds of biomedical datasets, and we investigate the use of computational techniques to help investigators to assemble templates and to fill in their values. We are creating a repository of [...]

The author sought to integrate an ontology of rare diseases with a large ontological model of radiological diagnosis.

To establish preferred strategies for presenting drug-drug interaction (DDI) clinical decision support alerts.

The usability of electronic health records (EHRs) continues to be a point of dissatisfaction for providers, despite certification requirements from the Office of the National Coordinator that require EHR vendors to employ a user-centered design (UCD) process. To better understand factors that contribute to poor usability, a research team visited 11 different EHR vendors in order to analyze their UCD processes and discover the specific challenges that vendors faced as [...]

To examine the feasibility of deploying a virtual web service for sharing data within a research network, and to evaluate the impact on data consistency and quality.

Biomedical Informatics is a growing interdisciplinary field in which research topics and citation trends have been evolving rapidly in recent years. To analyze these data in a fast, reproducible manner, automation of certain processes is needed. JAMIA is a "generalist" journal for biomedical informatics. Its articles reflect the wide range of topics in informatics. In this study, we retrieved Medical Subject Headings (MeSH) terms and citations of JAMIA articles published [...]

Mobile sensor data-to-knowledge (MD2K) was chosen as one of 11 Big Data Centers of Excellence by the National Institutes of Health, as part of its Big Data-to-Knowledge initiative. MD2K is developing innovative tools to streamline the collection, integration, management, visualization, analysis, and interpretation of health data generated by mobile and wearable sensors. The goal of the big data solutions being developed by MD2K is to reliably quantify physical, biological, behavioral [...]