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

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

Yuan An, Ritu Khare, Il-Yeol Song and Xiaohua Hu
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pp 661-666
28 Jan 2012
DOI: https://doi.org/10.1145/2110363.2110437

Abstract

health data management health knowledge discovery probabilistic reasoning for health decision making
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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