A conceptual model for a value-driven learning healthcare system

Ying Tang, Lenard Pogach

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

1 Scopus citations

Abstract

Making context based and pertinent clinical knowledge to the point of care that is most appropriate for individuals becomes an unprecedented challenge to bring American closer than ever to the promise of personalized health care. This paper, from the engineering perspective, presents a new conceptual framework that keeps patients in focus and continuously incorporates new knowledge to improve quality and value in healthcare. A colored Petri net model linked with a hybrid Bayesian network is then proposed to address two imperative issues in the development of a learning healthcare system: (1) mathematical representation of the complex health care processes to ensure shared decision-making; and (2) exploration and exploitation of knowledge about patients and health outcome measures for continuous improvement.

Original languageEnglish (US)
Title of host publicationProceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Pages3251-3256
Number of pages6
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States
Duration: Oct 11 2009Oct 14 2009

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Country/TerritoryUnited States
CitySan Antonio, TX
Period10/11/0910/14/09

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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