EP03.03 - Developing a Taxonomy of Technology-Mediated Adverse Events
e-Health ePoster Library. Currie L. Jun 7, 2016; 131572; EP03.03 Disclosure(s): none
Leanne Currie
Leanne Currie
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Abstract
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Purpose/Objectives: Information technologies such as electronic health records, computerized order entry, and mobile communication devices are playing an ever-increasing role in the delivery of healthcare, and there is a growing body of evidence that suggests these technologies contribute to better patient outcomes. However, early research has also identified the potential for information technologies to contribute to adverse events.[1] Little is known about the relationship between information technology and adverse events in clinical practice. To date, no research has examined the relationship between types of technology involved in a technology mediated event and degree of harm incurred. In order to enhance the delivery of sustainable, high-quality health services, it is imperative to understand the potential threats to patient safety that advancements in information technology may inadvertently introduce. This research aims to examine the relationship between information technology and adverse events in healthcare. The research objectives are to: 1) Identify and analyze adverse events related to the use of information technology, including the antecedent factors and degree of harm incurred, and 2) Develop a classification of antecedent factors related to the use of information technologies that contribute to adverse events. [1] Magrabi, F., Ong, M. S., Runciman, W., & Coiera, E. (2010). An analysis of computer-related patient safety incidents to inform the development of a classification. Journal of the American Medical Informatics Association, 17(6), 663-670. Methodology/Approach: This study draws on complexity theory and socio-technical systems theory and employs a descriptive correlational design. The study includes two phases: 1) Voluntarily reported adverse events with potential contributing factors related to technology (n=500) will be identified from a provincial online reporting system and reviewed and validated by a collective of subject matter experts, including leaders in patient safety, informatics, human factors, and nursing to establish a framework for categorizing the events. From this, a formal taxonomy will be developed and validated using a Delphi technique. 2) A second set of adverse events that are attributed to the use of information technology (n~2000) will be classified using this taxonomy, and the relationship between degree of harm incurred and the technology-related factors that contributed to the adverse event will be explored using chi-square and multinomial logistic regression. Finding/Results: Analysis for phase one of this study will be complete in April 2016 and findings that will be reported include descriptive statistics on the adverse events, the interrater reliability coeffecient from the classification process, and the resulting taxonomy of technology-mediated adverse events. Conclusion/Implications/Recommendations: This study will provide a taxonomy to classify adverse events related to technology. Knowledge generated from this study will be highly transferable, informing the delivery of safe, high-quality patient care across a variety of health care settings. This taxonomy can be applied to assess adverse events on an ongoing basis to determine threats to patient safety posed by technology-based tools. It can also be used to inform decision making regarding the selection and implementation of technological advancements. 140 Character Summary: Analysing adverse events related to technology and classifying the role technology played in the outcome in order to learn and prevent recurrence.
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