short-paper

Data exploration and knowledge discovery in a patient wellness tracking (PWT) system at a nurse-managed health services center

Authors:

Xiaohua HuAuthors Info & Claims

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Pages 661 - 666

https://doi.org/10.1145/2110363.2110437

Published: 28 January 2012 Publication History

Abstract

This paper describes our ongoing research on data exploration and knowledge discovery in a patient wellness tracking (PWT) information system developed for a nurse-managed community health center. The center employs an innovative and transdisciplinary care model that fully integrates behavioral and various wellness services into primary care to form a team approach. We have developed the PWT system that integrates clinical data collected in an electronic medical record (EMR) system with the data generated by a spectrum of healthy living programs and wellness services. While data is being collected rapidly in large volumes, it is imperative to develop effective tools in helping clinicians explore data and discover knowledge. In this paper, we present (1) an exploratory data browser based on information content in information theory for searching granularity patient data, and (2) a knowledge discovery component based on probabilistic graphical models for diagnosis, prognosis, and revealing clinical cause-effect interactions.

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Cited By

Seibert KDomhoff DBruch DSchulte-Althoff MFürstenau DBiessmann FWolf-Ostermann K(2020)A Rapid Review on Application Scenarios for Artificial Intelligence in Nursing Care (Preprint)Journal of Medical Internet Research10.2196/26522Online publication date: 16-Dec-2020
https://doi.org/10.2196/26522

Index Terms

Data exploration and knowledge discovery in a patient wellness tracking (PWT) system at a nurse-managed health services center
1. Applied computing
  1. Life and medical sciences
2. Information systems
  1. Information systems applications

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cover image ACM Conferences

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

January 2012

914 pages

ISBN:9781450307819

DOI:10.1145/2110363

General Chairs:
Gang Luo
IBM Research, USA
,
Jiming Liu
Hong Kong Baptist University
,
Program Chair:
Christopher C. Yang
Drexel University

Copyright © 2012 ACM.

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SIGHIT: ACM Special Interest Group on Health Informatics

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Association for Computing Machinery

New York, NY, United States

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Published: 28 January 2012

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IHI '12: ACM International Health Informatics Symposium

January 28 - 30, 2012

Florida, Miami, USA

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Cited By

Seibert KDomhoff DBruch DSchulte-Althoff MFürstenau DBiessmann FWolf-Ostermann K(2020)A Rapid Review on Application Scenarios for Artificial Intelligence in Nursing Care (Preprint)Journal of Medical Internet Research10.2196/26522Online publication date: 16-Dec-2020
https://doi.org/10.2196/26522

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