A new methodological framework for hazard detection models in health information technology systems
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 environmentmore »
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1827221
- Alternate Identifier(s):
- OSTI ID: 1831613
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Published Article
- Journal Name:
- Journal of Biomedical Informatics
- Additional Journal Information:
- Journal Name: Journal of Biomedical Informatics Journal Volume: 124 Journal Issue: C; Journal ID: ISSN 1532-0464
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION; Hazard detection; Health information technology; Electronic health records; Veterans Affairs; Patient safety
Citation Formats
Omitaomu, Olufemi A., Klasky, Hilda B., Olama, Mohammed, Ozmen, Ozgur, Pullum, Laura, Malviya Thakur, Addi, Kuruganti, Teja, Scott, Jeanie M., Laurio, Angela, Drews, Frank, Sauer, Brian C., Ward, Merry, and Nebeker, Jonathan R. A new methodological framework for hazard detection models in health information technology systems. United States: N. p., 2021.
Web. doi:10.1016/j.jbi.2021.103937.
Omitaomu, Olufemi A., Klasky, Hilda B., Olama, Mohammed, Ozmen, Ozgur, Pullum, Laura, Malviya Thakur, Addi, Kuruganti, Teja, Scott, Jeanie M., Laurio, Angela, Drews, Frank, Sauer, Brian C., Ward, Merry, & Nebeker, Jonathan R. A new methodological framework for hazard detection models in health information technology systems. United States. https://doi.org/10.1016/j.jbi.2021.103937
Omitaomu, Olufemi A., Klasky, Hilda B., Olama, Mohammed, Ozmen, Ozgur, Pullum, Laura, Malviya Thakur, Addi, Kuruganti, Teja, Scott, Jeanie M., Laurio, Angela, Drews, Frank, Sauer, Brian C., Ward, Merry, and Nebeker, Jonathan R. Wed .
"A new methodological framework for hazard detection models in health information technology systems". United States. https://doi.org/10.1016/j.jbi.2021.103937.
@article{osti_1827221,
title = {A new methodological framework for hazard detection models in health information technology systems},
author = {Omitaomu, Olufemi A. and Klasky, Hilda B. and Olama, Mohammed and Ozmen, Ozgur and Pullum, Laura and Malviya Thakur, Addi and Kuruganti, Teja and Scott, Jeanie M. and Laurio, Angela and Drews, Frank and Sauer, Brian C. and Ward, Merry and Nebeker, Jonathan R.},
abstractNote = {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.},
doi = {10.1016/j.jbi.2021.103937},
journal = {Journal of Biomedical Informatics},
number = C,
volume = 124,
place = {United States},
year = {Wed Dec 01 00:00:00 EST 2021},
month = {Wed Dec 01 00:00:00 EST 2021}
}
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