Towards Clinical Practice Reflection Based on Repurposed Administrative Data: Qualitative Study of Physicians and Surgeons

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Bucalon, Bernard
Williams, Chris
Conley, Jeanette
Veysey, Martin
Shaw, Tim
Kay, Judy

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Association for Computing Machinery (ACM)

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Abstract

Clinicians are expected to make use of data to reflect on their practice; this is reflected in its accepted role in mandatory Continuing Professional Development (CPD). One potentially valuable form of relevant data that hospitals routinely collect is clinical indicators (CI), such as readmissions and complications. This paper describes our design and qualitative evaluation of SeeCI, an interface to enable clinicians to use CI data to see, understand, and reflect on their practice. Our think-alouds with ten hospital staff indicate that SeeCI enabled meaningful insights, despite the challenging nature of repurposed data, notably for valuable peer comparisons. Our key contributions: (1) SeeCI, a new interface to support individuals’ reflection on their clinical practice, based on data from a set of repurposed CIs; and (2) demonstration of the value of SeeCI for individuals to gain insights and perspectives, including making use of peer comparison.

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CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

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