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

doi:10.1080/20476965.2019.1599701

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

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Abstract

An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. Here, 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 work, 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.

Authors:

^[1];

^[2];

^[3]; Ward, Merry ^[3];

^[3]; Nebeker, Jonathan R. ^[3]

Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States)
Johns Hopkins Univ., Baltimore, MD (United States)
U.S. Dept. of Veteran Affairs, Washington, DC (United States)

Publication Date:: 2019-05-07

Research Org.:: Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1511947

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Health Systems

Additional Journal Information:: Journal Volume: 8; Journal Issue: 2; Journal ID: ISSN 2047-6965

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; Health information technology; hazard detection; statistical process control; Markov chain; transaction process model; corporate data warehouse

Citation Formats


                    Omitaomu, Olufemi A., Ozmen, Ozgur, Olama, Mohammed M., Pullum, Laura L., Kuruganti, Teja, Nutaro, James, Klasky, Hilda B., Zandi, Helia, Advani, Aneel, Laurio, Angela L., Ward, Merry, Scott, Jeanie, and Nebeker, Jonathan R.. Real-Time Automated Hazard Detection Framework for Health Information Technology Systems.  United States: N. p., 2019. 
        Web.  doi:10.1080/20476965.2019.1599701.

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                    Omitaomu, Olufemi A., Ozmen, Ozgur, Olama, Mohammed M., Pullum, Laura L., Kuruganti, Teja, Nutaro, James, Klasky, Hilda B., Zandi, Helia, Advani, Aneel, Laurio, Angela L., Ward, Merry, Scott, Jeanie, & Nebeker, Jonathan R.. Real-Time Automated Hazard Detection Framework for Health Information Technology Systems.  United States.  doi:10.1080/20476965.2019.1599701.

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                    Omitaomu, Olufemi A., Ozmen, Ozgur, Olama, Mohammed M., Pullum, Laura L., Kuruganti, Teja, Nutaro, James, Klasky, Hilda B., Zandi, Helia, Advani, Aneel, Laurio, Angela L., Ward, Merry, Scott, Jeanie, and Nebeker, Jonathan R.. Tue .  
        "Real-Time Automated Hazard Detection Framework for Health Information Technology Systems".  United States.  doi:10.1080/20476965.2019.1599701.

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@article{osti_1511947,

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

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

  abstractNote = {An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. Here, 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 work, 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.},

  doi          = {10.1080/20476965.2019.1599701},

  journal      = {Health Systems},

  number       = 2,

  volume       = 8,

  place        = {United States},

  year         = {2019},

  month        = {5}

}

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