TY - GEN
T1 - State Diagrams for Automating Disease "risk Pyramid" Data Collection and Tailored Clinical Decision Support
AU - Willett, Duwayne L
AU - Pandey, Ambarish
AU - Ifejika, Nneka L.
AU - Kannan, Vaishnavi
AU - Berry, Jarett D
AU - Basit, Mujeeb A
N1 - Funding Information:
This work was partially supported by NIH Grant: 5UL1TR001105-05 UT Southwestern Center for Translational Medicine
Publisher Copyright:
© 2018 Authors.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - 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.
AB - 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.
KW - Clinical decision support
KW - Electronic health records
KW - Population health informatics
KW - State machine diagrams
UR - http://www.scopus.com/inward/record.url?scp=85056095205&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056095205&partnerID=8YFLogxK
U2 - 10.1145/3233547.3233660
DO - 10.1145/3233547.3233660
M3 - Conference contribution
AN - SCOPUS:85056095205
T3 - ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
SP - 551
EP - 552
BT - ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
PB - Association for Computing Machinery, Inc
T2 - 9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018
Y2 - 29 August 2018 through 1 September 2018
ER -