skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

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. 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:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [3]; ORCiD logo [3];  [3]
+ Show Author Affiliations
  1. Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States)
  2. Johns Hopkins Univ., Baltimore, MD (United States)
  3. U.S. Dept. of Veteran Affairs, Washington, DC (United States)
Publication Date:
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.
Copy to clipboard
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.
Copy to clipboard
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. https://www.osti.gov/servlets/purl/1511947.
Copy to clipboard
@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}
}
Copy to clipboard
Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI:  10.1080/20476965.2019.1599701
Copyright Statement
Other availability
Search WorldCat Search WorldCat to find libraries that may hold this journal
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Works referenced in this record:

Analysis of clinical decision support system malfunctions: a case series and survey
journal, March 2016

  • Wright, Adam; Hickman, Thu-Trang T.; McEvoy, Dustin
  • Journal of the American Medical Informatics Association, Vol. 23, Issue 6
  • DOI: 10.1093/jamia/ocw005

An analysis of electronic health record-related patient safety concerns
journal, November 2014

  • Meeks, Derek W.; Smith, Michael W.; Taylor, Lesley
  • Journal of the American Medical Informatics Association, Vol. 21, Issue 6
  • DOI: 10.1136/amiajnl-2013-002578

Perturbation theory and finite Markov chains
journal, August 1968

  • Schweitzer, Paul J.
  • Journal of Applied Probability, Vol. 5, Issue 2
  • DOI: 10.2307/3212261

Effects of health information technology on patient outcomes: a systematic review
journal, November 2015

  • Brenner, Samantha K.; Kaushal, Rainu; Grinspan, Zachary
  • Journal of the American Medical Informatics Association, Vol. 23, Issue 5
  • DOI: 10.1093/jamia/ocv138

Medication Error Propagation In Intensive Care Units
journal, September 2015

  • Carayon, Pascale; Ju, Feng; Cartmill, Randi
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 59, Issue 1
  • DOI: 10.1177/1541931215591111

A Reduction Process for Perturbed Markov Chains
journal, April 1983

  • Delebecque, F.
  • SIAM Journal on Applied Mathematics, Vol. 43, Issue 2
  • DOI: 10.1137/0143023

Understanding and preventing wrong-patient electronic orders: a randomized controlled trial
journal, March 2013

  • Adelman, Jason S.; Kalkut, Gary E.; Schechter, Clyde B.
  • Journal of the American Medical Informatics Association, Vol. 20, Issue 2
  • DOI: 10.1136/amiajnl-2012-001055

Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors
journal, June 2015

  • Ratwani, R. M.; Fairbanks, R. J.; Hettinger, A. Z.
  • Journal of the American Medical Informatics Association, Vol. 22, Issue 6
  • DOI: 10.1093/jamia/ocv050

Perturbation analysis: the state of the art and research issues explained via the GI/G/1 queue
journal, January 1989

Mean Passage Times and Nearly Uncoupled Markov Chains
journal, August 1992

  • Hassin, Refael; Haviv, Moshe
  • SIAM Journal on Discrete Mathematics, Vol. 5, Issue 3
  • DOI: 10.1137/0405030

Event-Based Optimization of Markov Systems
journal, May 2008

Improving Safety with Information Technology
journal, June 2003

  • Bates, David W.; Gawande, Atul A.
  • New England Journal of Medicine, Vol. 348, Issue 25
  • DOI: 10.1056/NEJMsa020847

Defining Health Information Technology–Related Errors: New Developments Since To Err Is Human
journal, July 2011

Classification of antecedents towards safety use of health information technology: A systematic review
journal, November 2015

Measuring and improving patient safety through health information technology: The Health IT Safety Framework
journal, September 2015

Interface design principles for usable decision support: A targeted review of best practices for clinical prescribing interventions
journal, December 2012

  • Horsky, Jan; Schiff, Gordon D.; Johnston, Douglas
  • Journal of Biomedical Informatics, Vol. 45, Issue 6
  • DOI: 10.1016/j.jbi.2012.09.002

Electronic health records: new opportunities for clinical research
journal, October 2013

  • Coorevits, P.; Sundgren, M.; Klein, G. O.
  • Journal of Internal Medicine, Vol. 274, Issue 6
  • DOI: 10.1111/joim.12119

Reducing the Frequency of Errors in Medicine Using Information Technology
journal, July 2001

  • Bates, D. W.; Cohen, M.; Leape, L. L.
  • Journal of the American Medical Informatics Association, Vol. 8, Issue 4
  • DOI: 10.1136/jamia.2001.0080299

Extensions of infinitesimal perturbation analysis
journal, May 1988

  • Ho, Y. -C.; Li, Shu
  • IEEE Transactions on Automatic Control, Vol. 33, Issue 5
  • DOI: 10.1109/9.1221

Using FDA reports to inform a classification for health information technology safety problems
journal, January 2012

  • Magrabi, Farah; Ong, Mei-Sing; Runciman, William
  • Journal of the American Medical Informatics Association, Vol. 19, Issue 1
  • DOI: 10.1136/amiajnl-2011-000369

Using statistical anomaly detection models to find clinical decision support malfunctions
journal, May 2018

  • Ray, Soumi; McEvoy, Dustin S.; Aaron, Skye
  • Journal of the American Medical Informatics Association, Vol. 25, Issue 7
  • DOI: 10.1093/jamia/ocy041

A new sociotechnical model for studying health information technology in complex adaptive healthcare systems
journal, October 2010

    [ × clear filter / sort ]

    Similar Records in DOE PAGES and OSTI.GOV collections: