Strategies used to detect and mitigate system-related errors over time: A qualitative study in an Australian health district
Madaline Kinlay, Wu Yi Zheng, Rosemary Burke, Ilona Juraskova, Lai Mun Ho, Hannah Turton, Jason Trinh, Melissa T. Baysari

TL;DR
This study explores how an Australian health district detects and mitigates errors caused by electronic medical record systems, relying on frontline clinicians and organizational strategies.
Contribution
The study provides insights into detection and mitigation strategies for system-related errors in EMRs through stakeholder interviews and thematic analysis.
Findings
Front-line clinicians are primarily responsible for detecting system-related errors.
EMR redesign is the main mitigation strategy, alongside education and reducing hybrid system use.
Proactive and layered organizational strategies improve error detection and management.
Abstract
Electronic medical record (EMR) systems provide timely access to clinical information and have been shown to improve medication safety. However, EMRs can also create opportunities for error, including system-related errors or errors that were unlikely or not possible with the use of paper medication charts. This study aimed to determine the detection and mitigation strategies adopted by a health district in Australia to target system-related errors and to explore stakeholder views on strategies needed to curb future system-related errors from emerging. A qualitative descriptive study design was used comprising semi-structured interviews. Data were collected from three hospitals within a health district in Sydney, Australia, between September 2020 and May 2021. Interviews were conducted with EMR users and other key stakeholders (e.g. clinical informatics team members). Participants were…
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Taxonomy
TopicsQuality and Safety in Healthcare · Occupational Health and Safety Research · Electronic Health Records Systems
