State Diagrams for Automating Disease "risk Pyramid" Data Collection and Tailored Clinical Decision Support

Duwayne L Willett, Ambarish Pandey, Nneka L. Ifejika, Vaishnavi Kannan, Jarett D Berry, Mujeeb A Basit

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

Abstract

Transitioning to value-based care makes new demands on understanding and managing patient risk for a variety of adverse outcomes in multiple conditions. Optimizing use of finite healthcare resources then proves challenging, and would benefit from a data-driven approach. Modelling the "risk triangle" paradigm of disease management as a state diagram within the electronic health record helps bring clinical situational awareness and tailored decision support interventions to individual patients at the point-of-care, while automatically capturing new types of state duration and transition sequence data across the whole population. Such data can iteratively inform improving risk prediction models.

Original languageEnglish (US)
Title of host publicationACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
PublisherAssociation for Computing Machinery, Inc
Pages551-552
Number of pages2
ISBN (Electronic)9781450357944
DOIs
StatePublished - Aug 15 2018
Event9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018 - Washington, United States
Duration: Aug 29 2018Sep 1 2018

Other

Other9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018
CountryUnited States
CityWashington
Period8/29/189/1/18

Keywords

  • Clinical decision support
  • Electronic health records
  • Population health informatics
  • State machine diagrams

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Health Informatics
  • Biomedical Engineering

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  • Cite this

    Willett, D. L., Pandey, A., Ifejika, N. L., Kannan, V., Berry, J. D., & Basit, M. A. (2018). State Diagrams for Automating Disease "risk Pyramid" Data Collection and Tailored Clinical Decision Support. In ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 551-552). Association for Computing Machinery, Inc. https://doi.org/10.1145/3233547.3233660