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Standardizing Clinical and Research Data Sets for Enhanced Health Informatics

This presentation by OiSaeng Hong and colleagues discusses the transformation of existing clinical and research data sets into standardized terminology, facilitating improved comparability and utility in health informatics. By harnessing large data sets, significant clinical questions can be addressed more effectively. The session presents two exemplars: the SIREN project focusing on hearing health among firefighters and the SALSA project examining diabetes in older Mexican Americans. Emphasis is placed on the importance of standardized care plans, outcomes, and creating opportunities for data exchange across various settings.

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Standardizing Clinical and Research Data Sets for Enhanced Health Informatics

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Presentation Transcript

  1. Transforming Existing Clinical and Research Data Sets to Standardized Terminology for Research OiSaeng Hong, RN, PhD, FAAN1 Karen A. Monsen, RN, PhD, FAAN2,3 (Presenter) Madeleine J. Kerr, RN, PhD2,3 Dal Lae Chin, RN, PhD1 1 University of California at San Francisco (UCSF) School of Nursing, San Francisco, CA 2 University of Minnesota School of Nursing, Minneapolis, MN 3 University of Minnesota Institute for Health Informatics, Minneapolis, MN

  2. Greetings from San Francisco OiSaeng Hong

  3. Large Research Data Sets • Potentials to utilize existing large data sets to inform important clinical/research questions in new ways • Informatics focus • Expand scholarship/expertise

  4. More Value with Standardization • Comparability of standardized concepts • Hearing, Substance use, Circulation • Knowledge • Behavior • Status

  5. Two Exemplars • Hearing health • SIREN (Safety Instruction to Reduce Exposure of Noise and hearing loss) with career firefighters • Diabetes • SALSA (Sacramento Area Latino Study on Aging) with older Mexican Americans

  6. Dissemination Pattern • Communicate best practices • Standardized care plans • Standardized outcomes; create opportunities for data exchange across settings • Disseminate findings • Quantitative results • New perspectives • Rapid publication and presentation acceptance

  7. Low cost, high reward • Transformation of existing data • Cost effective • New perspective • Rapid turn around

  8. Leadership • Standardized ontology bridges worlds • Research • Practice • Education • Standardized ontology bridges content silos • Comprehensive, holistic view of health • Leaders are needed to build these bridges

  9. Acknowledgement • SIREN Project • Funded by Department of Homeland Security Federal Emergency Management Administration (EMW-2007-FP-00785, PI: Hong) • SALSA Project • Funded by National Institute of Aging (AG12975, PI- Haan), National Institute for Diabetes, Digestive and Kidney Diseases (DK60753, PI-Haan)

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