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Risk assessment of technology-induced errors in health care

This study demonstrates that hybrid methods can be used for measuring the risk severity of technology-induced errors (TIE) that result from use of health information technology (HIT).
The objectives of this research study include:
1. Developing an integrated conceptual risk assessment model to measure the risk severity of technology-induced errors.
2. Analyzing the criticality and risk thresholds associated with TIE’s contributing factors.
3. Developing a computer-based simulation model that could be used to undertake various simulations of TIE’s problems and validate the results.
Using data from published papers describing three sample problems related to usability and technology-induced errors, hybrid methods were developed for assessing the risk severity and thresholds under various simulated conditions.
A risk assessment model (RAM) and its corresponding steps were developed. A computer-based simulation of risk assessment using the model was also developed, and several runs of the simulation were carried out. The model was tested and found to be valid.
Based on assumptions and published statistics obtained by publically available databases, we measured the risk severity and analyzed its criticality to classify risks of contributing factors into four different classes. The simulation results validated the efficiency and efficacy of the proposed methods with the sample problems. / Graduate / 0723 / 0680 / 0769 / tschio2011@gmail.com

Identiferoai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/7246
Date02 May 2016
CreatorsChio, Tien-Sung (David)
ContributorsKushniruk, Andre W.
Source SetsUniversity of Victoria
LanguageEnglish, English
Detected LanguageEnglish
TypeThesis
RightsAvailable to the World Wide Web

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