An Algorithm That Identifies Coronary and Heart Failure Events In The Electronic Health Record

Authors

  • Jawali Jaranilla Health Partners Institute for Education and Research
  • Thomas E. Kottke Health Partners Institute for Education and Research
  • Courtney J. Baechler University of Minnesota

DOI:

https://doi.org/10.5210/ojphi.v5i1.4526

Abstract

The advent of universal health care coverage in the United States and electronic health records could make the medical record a valuable disease surveillance tool. The object of this project was to identify an algorithm that accurately categorizes acute coronary and heart failure events exclusively with electronic health record data so that the medical record can be used for surveillance without manual record review. Agreement (Cohen - Kappa) between manual review and an algorithm that uses IMO statements, troponin levels and echocardiographic data is 0.99 (95%CI 0.98-1.00). We conclude that surveillance based on electronic data alone is feasible.

Author Biography

Jawali Jaranilla, Health Partners Institute for Education and Research

Dr Jaranilla is an assistant professor at the University of Minnesota and also a full-time Internist-Hospitalist in a tertiary academic center. He obtained his Masters Degree in Public Health at John Hopkins Bloomberg School of Public Health. His interests include chronic disease prevention, quality improvement projects, racial disparity reduction and immigrant studies.

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Published

2013-03-23

How to Cite

Jaranilla, J., Kottke, T. E., & Baechler, C. J. (2013). An Algorithm That Identifies Coronary and Heart Failure Events In The Electronic Health Record. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4526

Issue

Vol. 5 No. 1 (2013)

Section

Poster Presentations

License

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