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Improving the Quality and Utility of Electronic Health Record Data through Ontologies.
Lin, Asiyah Yu; Arabandi, Sivaram; Beale, Thomas; Duncan, William D; Hicks, Amanda; Hogan, William R; Jensen, Mark; Koppel, Ross; Martínez-Costa, Catalina; Nytrø, Øystein; Obeid, Jihad S; de Oliveira, Jose Parente; Ruttenberg, Alan; Seppälä, Selja; Smith, Barry; Soergel, Dagobert; Zheng, Jie; Schulz, Stefan.
Afiliación
  • Lin AY; National Institutes of Health, Bethesda, MD 20892, USA.
  • Arabandi S; ONTOPRO, Houston, TX 77025, USA.
  • Beale T; Ars Semantica Ltd., London W4 1PQ, UK.
  • Duncan WD; College of Dentistry, University of Florida, Gainesville, FL 32610, USA.
  • Hicks A; The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA.
  • Hogan WR; Data Science Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
  • Jensen M; CUBRC Inc., Buffalo, NY 14225, USA.
  • Koppel R; Department of Medical Informatics, Jacobs School of Medicine, University at Buffalo, Buffalo, NY 14260, USA.
  • Martínez-Costa C; Department of Medical Informatics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Nytrø Ø; Department of Informatics and Systems, Faculty of Computer Science, University of Murcia, 30100 Murcia, Spain.
  • Obeid JS; Department of Computer Science, UIT Arctic University of Norway, 9037 Tromsø, Norway.
  • de Oliveira JP; Department of Computer Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Ruttenberg A; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
  • Seppälä S; Aeronautics Institute of Technology, São José dos Campos 12228-900, Brazil.
  • Smith B; School of Dental Medicine, University at Buffalo, Buffalo, NY 14260, USA.
  • Soergel D; Department of Business Information Systems, University College Cork, T12 K8AF Cork, Ireland.
  • Zheng J; Department of Philosophy, University at Buffalo, Buffalo, NY 14260, USA.
  • Schulz S; Department of Philosophy, University at Buffalo, Buffalo, NY 14260, USA.
Standards (Basel) ; 3(3): 316-340, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37873508
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Standards (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Standards (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos