Improving the Quality and Utility of Electronic Health Record Data through Ontologies

Author:

Lin Asiyah Yu1,Arabandi Sivaram2,Beale Thomas3,Duncan William D.4ORCID,Hicks Amanda5,Hogan William R.6,Jensen Mark7ORCID,Koppel Ross89,Martínez-Costa Catalina10,Nytrø Øystein1112,Obeid Jihad S.13ORCID,Oliveira Jose Parente de14,Ruttenberg Alan15ORCID,Seppälä Selja16ORCID,Smith Barry17,Soergel Dagobert17ORCID,Zheng Jie18ORCID,Schulz Stefan1920ORCID

Affiliation:

1. National Institutes of Health, Bethesda, MD 20892, USA

2. ONTOPRO, Houston, TX 77025, USA

3. Ars Semantica Ltd., London W4 1PQ, UK

4. College of Dentistry, University of Florida, Gainesville, FL 32610, USA

5. The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA

6. Data Science Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA

7. CUBRC Inc., Buffalo, NY 14225, USA

8. Department of Medical Informatics, Jacobs School of Medicine, University at Buffalo, Buffalo, NY 14260, USA

9. Department of Medical Informatics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA

10. Department of Informatics and Systems, Faculty of Computer Science, University of Murcia, 30100 Murcia, Spain

11. Department of Computer Science, UIT Arctic University of Norway, 9037 Tromsø, Norway

12. Department of Computer Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway

13. Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA

14. Aeronautics Institute of Technology, São José dos Campos 12228-900, Brazil

15. School of Dental Medicine, University at Buffalo, Buffalo, NY 14260, USA

16. Department of Business Information Systems, University College Cork, T12 K8AF Cork, Ireland

17. Department of Philosophy, University at Buffalo, Buffalo, NY 14260, USA

18. Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48104, USA

19. Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036 Graz, Austria

20. Averbis GmbH, Salzstrasse 15, 79098 Freiburg im Breisgau, Germany

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.

Funder

National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health

Publisher

MDPI AG

Subject

Materials Science (miscellaneous)

Reference85 articles.

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5. CCH Incorporated (2010). 2010 Tax Legislation: Patient Protection and Affordable Care, Health Care Reconciliation, HIRE and Other Recent Tax Acts: Law, Explanation, and Analysis, CCH.

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