Background and Importance There is evidence to suggest that poor usability of health information systems is associated with negative outcomes including low efficiency and increased risk of medical error. Standardised usability questionnaires have been developed to evaluate usability and recently a novel tool was developed to measure the usability of clinical decision support systems in healthcare environments.¹ A customised insulin management solution was developed and implemented in our hospital to migrate insulin prescribing, administration and review from paper to our electronic patient record (EPR). Assessing the usability of the solution was identified as a way of determining potential areas for optimisation and training post-implementation and of informing future design decisions. Aim and Objectives To assess usability of the insulin management solution Compare usability scores across the clinical disciplines Material and Methods The Healthcare Systems Usability Scale (HSUS) was used to assess usability among system users from the medical, nursing, pharmacy and clinical nutrition professions.¹ HSUS assessed usability in four subscales; patient safety and decision effectiveness, workflow integration/ease of use, work effectiveness and user control. An Independent-Samples Kruskal-Wallis Test was used for statistical analysis. Results 226 users from medical, nursing, pharmacy and clinical nutrition disciplines completed the HSUS assessment. The average usability score was 81%. There was no significant difference in overall usability scores based on the respondents' discipline. Concerning subscales, the only significant difference between disciplines was in the workflow integration/ease of use domain between the pharmacist and nursing groups (70.8% vs 79.6% p = 0.020). Conclusion and Relevance The insulin management solution implemented into the EPR was regarded as highly usable based on the results of the HSUS in comparison to another study where the usability score was only 64%.¹ The variability between the pharmacy and nursing result warrants further investigation and will inform engagement requirements for future project work. Finally, this study adds to the evidence base in this important area where real-world data is still limited. References and/or Acknowledgements 1. Ghorayeb A, Darbyshire JL, Wronikowska MW, et al. Design and validation of a new Healthcare Systems Usability Scale (HSUS) for clinical decision support systems: a mixed-methods approach. BMJ Open 2023;13:e065323. doi:10.1136/bmjopen-2022-065323. Conflict of Interest No conflict of interest.
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