A new methodological framework for hazard detection models in health information technology systems

Olufemi A. Omitaomu; Hilda B. Klasky; Mohammed Olama; Ozgur Ozmen; Laura Pullum; Addi Malviya Thakur; Teja Kuruganti; Jeanie M. Scott; Angela Laurio; Frank Drews; Brian C. Sauer; Merry Ward; Jonathan R. Nebeker

doi:10.1016/j.jbi.2021.103937

A new methodological framework for hazard detection models in health information technology systems

Olufemi A. Omitaomu, Hilda B. Klasky, Mohammed Olama, Ozgur Ozmen, Laura Pullum, Addi Malviya Thakur, Teja Kuruganti, Jeanie M. Scott, Angela Laurio, Frank Drews, Brian C. Sauer, Merry Ward, Jonathan R. Nebeker

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

1 Scopus citations

Abstract

The adoption of health information technology (HIT) has facilitated efforts to increase the quality and efficiency of health care services and decrease health care overhead while simultaneously generating massive amounts of digital information stored in electronic health records (EHRs). However, due to patient safety issues resulting from the use of HIT systems, there is an emerging need to develop and implement hazard detection tools to identify and mitigate risks to patients. This paper presents a new methodological framework to develop hazard detection models and to demonstrate its capability by using the US Department of Veterans Affairs’ (VA) Corporate Data Warehouse, the data repository for the VA's EHR. The overall purpose of the framework is to provide structure for research and communication about research results. One objective is to decrease the communication barriers between interdisciplinary research stakeholders and to provide structure for detecting hazards and risks to patient safety introduced by HIT systems through errors in the collection, transmission, use, and processing of data in the EHR, as well as potential programming or configuration errors in these HIT systems. A nine-stage framework was created, which comprises programs about feature extraction, detector development, and detector optimization, as well as a support environment for evaluating detector models. The framework forms the foundation for developing hazard detection tools and the foundation for adapting methods to particular HIT systems.

Original language	English
Article number	103937
Journal	Journal of Biomedical Informatics
Volume	124
DOIs	https://doi.org/10.1016/j.jbi.2021.103937
State	Published - Dec 2021

Funding

Notice: This research is sponsored by the U.S. 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). Notice: This research is sponsored by the U.S. 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 ). The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: This work is sponsored by the U.S. Department of Veterans’ Affair.

Funders	Funder number
DOE Public Access Plan
U.S. Department of Energy
U.S. Department of Veterans Affairs	DE-AC05-00OR22725

Keywords

Electronic health records
Hazard detection
Health information technology
Patient safety
Veterans Affairs

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10.1016/j.jbi.2021.103937

Cite this

Omitaomu, O. A., Klasky, H. B., Olama, M., Ozmen, O., Pullum, L., Malviya Thakur, A., Kuruganti, T., Scott, J. M., Laurio, A., Drews, F., Sauer, B. C., Ward, M., & Nebeker, J. R. (2021). A new methodological framework for hazard detection models in health information technology systems. Journal of Biomedical Informatics, 124, Article 103937. https://doi.org/10.1016/j.jbi.2021.103937

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A new methodological framework for hazard detection models in health information technology systems

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