ArticleBMJ health & care informatics2025
Feasibility of semiautomated surveillance of healthcare-associated
Article in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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11 authors.
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Abstract
objectiveMany hospitals struggle to transform electronic health record (EHR) data to support performance, continuous improvement and patient safety. Our study aimed to explore the feasibility of semiautomated surveillance for healthcare-associated infections (HAIs) in Australian hospitals, focussing on
methodNational surveillance case definitions were reviewed with an inventory list of data elements created to identify high-probability healthcare-associated SABSI events. An interview schedule was developed to assess the availability, characteristics and quality of EHR data for data elements. Interviews were conducted with hospital infection prevention and control (IPC) staff.
results12 IPC staff representing 12 hospitals and 11 healthcare organisations were interviewed. EHRs were in place at nine (75%) sites, supplied by six different vendors. Heterogeneity was observed in EHR functionalities, data capture methods for routine care and local approaches to use electronic systems to reduce HAI surveillance workload. None reported using automated surveillance systems. Most core data elements for the SABSI algorithm were present in EHRs, suggesting only minor modification to the SABSI definitions may be needed for automation, but issues with data quality were also described. DISCUSSION: We propose that modification of the national SABSI definitions is needed for automation. While many Victorian hospitals have adopted EHRs, data quality and interoperability issues limit the leveraging of EHR data for secondary purposes.
conclusionsWe have taken the initial steps of evaluating the feasibility of semiautomated HAI surveillance in Victorian hospitals. With further development, this offers the promise of enhanced efficiency and reduced human resources required for HAI surveillance.
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