Early prediction of potentially preventable events in ambulatory care sensitive admissions from clinical data

Prasanna Desikan, Nisheeth Srivastava, Tamara Winden, Tammie Lindquist, Heather Britt, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Ambulatory care sensitive conditions (ACSCs) are characterized as health conditions for which good outpatient care can potentially prevent the need for hospitalization, or for which early intervention can prevent complications or more severe disease. Currently, there are 16 identified ACSCs within the US health system: diabetes short-term complication, perforated appendix, diabetes long-term complication, pediatric asthma, chronic obstructive pulmonary disease, pediatric gastroenteritis, hypertension, congestive heart failure, low birth weight rate, dehydration, bacterial pneumonia, urinary tract infection, angina admission without procedure, uncontrolled diabetes, adult asthma, and lower-extremity amputation among patients with diabetes. Potentially preventable acute health events (PPEs) for such diagnosis codes represent a straightforward opportunity for reducing medical costs while concomitantly improving quality of care. While claims data have previously been used to predict future health outcomes of patients, we report here a novel approach, using data mining techniques, towards supplementing such data with patients' electronic health records (EHR) to develop a clinical decision support system that satisfactorily predicts the onset of PPEs in a large population of patients.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012
Pages124
Number of pages1
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012 - San Diego, CA
Duration: 27 Sep 201228 Sep 2012

Other

Other2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012
CitySan Diego, CA
Period27/9/1228/9/12

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Desikan, P., Srivastava, N., Winden, T., Lindquist, T., Britt, H., & Srivastava, J. (2012). Early prediction of potentially preventable events in ambulatory care sensitive admissions from clinical data. In Proceedings - 2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012 (pp. 124). [6366216] https://doi.org/10.1109/HISB.2012.49