Year: 2023
Type: article
Abstract: The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors' rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs.
Source: Standards
Authors: Asiyah Yu Lin, Sivaram Arabandi, Thomas Beale, William D. Duncan, Amanda Hicks, William R. Hogan, Mark Jensen, Ross Koppel, Catalina Martínez-Costa, Øystein Nytrø, Jihad S. Obeid, Jose Parente de Oliveira, Alan Ruttenberg, Selja Seppälä, Barry Smith, Dagobert Soergel, Jie Zheng, Stefan Schulz
Institutions: National Institutes of Health, University of Florida, Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory, Medical College of Wisconsin, Calspan-University of Buffalo Research Center, University at Buffalo, State University of New York, University of Pennsylvania, Universidad de Murcia, Norwegian University of Science and Technology, UiT The Arctic University of Norway, Medical University of South Carolina, Instituto Tecnológico de Aeronáutica, University College Cork, University of Michigan, Michigan Medicine, Medical University of Graz, Averbis (Germany)
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,112
Awards: G1109734949, G5382207646, G9000087222
OpenAlex ID: W4386778113