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

doi:10.1145/3233547.3233660

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 proceeding › Conference 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 language	English (US)
Title of host publication	ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
Publisher	Association for Computing Machinery, Inc
Pages	551-552
Number of pages	2
ISBN (Electronic)	9781450357944
DOIs	https://doi.org/10.1145/3233547.3233660
State	Published - Aug 15 2018
Event	9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018 - Washington, United States Duration: Aug 29 2018 → Sep 1 2018

Other

Other	9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018
Country	United States
City	Washington
Period	8/29/18 → 9/1/18

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

Access to Document

10.1145/3233547.3233660

Fingerprint Dive into the research topics of 'State Diagrams for Automating Disease "risk Pyramid" Data Collection and Tailored Clinical Decision Support'. Together they form a unique fingerprint.

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

State Diagrams for Automating Disease "risk Pyramid" Data Collection and Tailored Clinical Decision Support. / Willett, Duwayne L; Pandey, Ambarish; Ifejika, Nneka L.; Kannan, Vaishnavi; Berry, Jarett D ; Basit, Mujeeb A.

ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, 2018. p. 551-552.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Willett, DL, Pandey, A, Ifejika, NL, Kannan, V, Berry, JD & Basit, MA 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. Association for Computing Machinery, Inc, pp. 551-552, 9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018, Washington, United States, 8/29/18. https://doi.org/10.1145/3233547.3233660

Willett DL, Pandey A, Ifejika NL, Kannan V, Berry JD , Basit MA. 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. Association for Computing Machinery, Inc. 2018. p. 551-552 https://doi.org/10.1145/3233547.3233660

Willett, Duwayne L ; Pandey, Ambarish ; Ifejika, Nneka L. ; Kannan, Vaishnavi ; Berry, Jarett D ; Basit, Mujeeb A. / State Diagrams for Automating Disease "risk Pyramid" Data Collection and Tailored Clinical Decision Support. ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, 2018. pp. 551-552

@inproceedings{95896236f3da400899b2d5611af51329,

title = "State Diagrams for Automating Disease {"}risk Pyramid{"} Data Collection and Tailored Clinical Decision Support",

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.",

keywords = "Clinical decision support, Electronic health records, Population health informatics, State machine diagrams",

author = "Willett, {Duwayne L} and Ambarish Pandey and Ifejika, {Nneka L.} and Vaishnavi Kannan and Berry, {Jarett D} and Basit, {Mujeeb A}",

year = "2018",

month = aug,

day = "15",

doi = "10.1145/3233547.3233660",

language = "English (US)",

pages = "551--552",

booktitle = "ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics",

publisher = "Association for Computing Machinery, Inc",

note = "9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018 ; Conference date: 29-08-2018 Through 01-09-2018",

}

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

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

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 -