Real-Time Automated Hazard Detection Framework for Health Information Technology Systems

Olufemi A. Omitaomu; Ozgur Ozmen; Mohammed M. Olama; Laura L. Pullum; Teja Kuruganti; James Nutaro; Hilda B. Klasky; Helia Zandi; Aneel Advani; Angela L. Laurio; Merry Ward; Jeanie Scott; Jonathan R. Nebeker

doi:10.1080/20476965.2019.1599701

Real-Time Automated Hazard Detection Framework for Health Information Technology Systems

Olufemi A. Omitaomu, Ozgur Ozmen, Mohammed M. Olama, Laura L. Pullum, Teja Kuruganti, James Nutaro, Hilda B. Klasky, Helia Zandi, Aneel Advani, Angela L. Laurio, Merry Ward, Jeanie Scott, Jonathan R. Nebeker

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. In this paper, we present an end-to-end framework for improving the reliability and performance of HIT systems. Specifically, we describe the system model, present some of the methods that drive the model, and discuss an initial implementation of two of the proposed methods using data from the Veterans Affairs HIT and Corporate Data Warehouse systems. The contributions of this paper, thus, include (1) the design of a system model for monitoring and detecting hazards in HIT systems, (2) a data-driven approach for analysing the health care data warehouse, (3) analytical methods for characterising and analysing failures in HIT systems, and (4) a tool architecture for generating and reporting hazards in HIT systems. Our goal is to work towards an automated system that will help identify opportunities for improvements in HIT systems.

Original language	English
Pages (from-to)	190-202
Number of pages	13
Journal	Health Systems
Volume	8
Issue number	3
DOIs	https://doi.org/10.1080/20476965.2019.1599701
State	Published - Sep 2 2019

Funding

This work was supported by the U.S. Department of Veterans Affairs. This work is sponsored by the US Department of Veterans Affairs. This manuscript has been authored by UT-Battelle LLC under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This work is sponsored by the US Department of Veterans Affairs. This manuscript has been authored by UT-Battelle LLC under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).

Keywords

Health information technology
Markov chain
corporate data warehouse
hazard detection
statistical process control
transaction process model

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10.1080/20476965.2019.1599701

Cite this

@article{135b63b871634df5881429fab2ea4221,

title = "Real-Time Automated Hazard Detection Framework for Health Information Technology Systems",

abstract = "An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. In this paper, we present an end-to-end framework for improving the reliability and performance of HIT systems. Specifically, we describe the system model, present some of the methods that drive the model, and discuss an initial implementation of two of the proposed methods using data from the Veterans Affairs HIT and Corporate Data Warehouse systems. The contributions of this paper, thus, include (1) the design of a system model for monitoring and detecting hazards in HIT systems, (2) a data-driven approach for analysing the health care data warehouse, (3) analytical methods for characterising and analysing failures in HIT systems, and (4) a tool architecture for generating and reporting hazards in HIT systems. Our goal is to work towards an automated system that will help identify opportunities for improvements in HIT systems.",

keywords = "Health information technology, Markov chain, corporate data warehouse, hazard detection, statistical process control, transaction process model",

author = "Omitaomu, {Olufemi A.} and Ozgur Ozmen and Olama, {Mohammed M.} and Pullum, {Laura L.} and Teja Kuruganti and James Nutaro and Klasky, {Hilda B.} and Helia Zandi and Aneel Advani and Laurio, {Angela L.} and Merry Ward and Jeanie Scott and Nebeker, {Jonathan R.}",

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doi = "10.1080/20476965.2019.1599701",

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AU - Pullum, Laura L.

AU - Kuruganti, Teja

AU - Nutaro, James

AU - Klasky, Hilda B.

AU - Zandi, Helia

AU - Advani, Aneel

AU - Laurio, Angela L.

AU - Ward, Merry

AU - Scott, Jeanie

AU - Nebeker, Jonathan R.

PY - 2019/9/2

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N2 - An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. In this paper, we present an end-to-end framework for improving the reliability and performance of HIT systems. Specifically, we describe the system model, present some of the methods that drive the model, and discuss an initial implementation of two of the proposed methods using data from the Veterans Affairs HIT and Corporate Data Warehouse systems. The contributions of this paper, thus, include (1) the design of a system model for monitoring and detecting hazards in HIT systems, (2) a data-driven approach for analysing the health care data warehouse, (3) analytical methods for characterising and analysing failures in HIT systems, and (4) a tool architecture for generating and reporting hazards in HIT systems. Our goal is to work towards an automated system that will help identify opportunities for improvements in HIT systems.

AB - An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. In this paper, we present an end-to-end framework for improving the reliability and performance of HIT systems. Specifically, we describe the system model, present some of the methods that drive the model, and discuss an initial implementation of two of the proposed methods using data from the Veterans Affairs HIT and Corporate Data Warehouse systems. The contributions of this paper, thus, include (1) the design of a system model for monitoring and detecting hazards in HIT systems, (2) a data-driven approach for analysing the health care data warehouse, (3) analytical methods for characterising and analysing failures in HIT systems, and (4) a tool architecture for generating and reporting hazards in HIT systems. Our goal is to work towards an automated system that will help identify opportunities for improvements in HIT systems.

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Real-Time Automated Hazard Detection Framework for Health Information Technology Systems

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Keywords

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