Mining electronic medical records to explore the linkage between healthcare resource utilization and disease severity in diabetic patients

Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi

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

Abstract

Knowledge discovery in electronic health records (EHRs) is a central aspect for improved clinical decision making, prognosis, and patient management. While EHRs show great promise towards better data integration, automated access, and clinical workflow improvement, the vast information they capture over time pose challenges not only for medical practitioners, but also for the information analysis by machines. The objective of this paper is to promote and emphasize the importance of exploratory analytics that are commensurate with human capabilities and constraints. Within this realm we present a novel temporal event matrix representation and learning framework that discovers complex latent event patterns, which are easily interpretable by humans. We demonstrate our framework on synthetic data and on EHRs together with an extensive validation involving over 70,000 computed latent factor models. The present study is the first to link temporal patterns of healthcare resource utilization (HRU) against a diabetic disease complications severity index to better understand the relationships between disease severity and care delivery.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011
Pages250-257
Number of pages8
DOIs
StatePublished - Nov 22 2011
Externally publishedYes
Event2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011 - San Jose, CA, United States
Duration: Jul 26 2011Jul 29 2011

Publication series

NameProceedings - 2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011

Conference

Conference2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011
CountryUnited States
CitySan Jose, CA
Period7/26/117/29/11

Keywords

  • electronic health record
  • event pattern mining
  • exploratory analytics
  • healthcare

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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