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

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

doi:10.1145/3706599.3719822

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

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

School of Medicine and Psychology

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

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.

Original language	English
Title of host publication	CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Editors	Naomi Yamashita, Vanessa Evers, Koji Yatani, Xianghua (Sharon) Ding
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	1-9
Number of pages	9
ISBN (Electronic)	9798400713958
DOIs	https://doi.org/10.1145/3706599.3719822
Publication status	Published - 25 Apr 2025
Event	2025 ACM CHI Conference on Human Factors in Computing Systems - Yokohama, Japan Duration: 26 Apr 2025 → 1 May 2025 https://chi2025.acm.org/

Conference

Conference	2025 ACM CHI Conference on Human Factors in Computing Systems
Abbreviated title	CHI EA '25
Country/Territory	Japan
City	Yokohama
Period	26/04/25 → 1/05/25
Other	The ACM (Association for Computing Machinery) CHI conference on Human Factors in Computing Systems is the premier international conference of Human-Computer Interaction. CHI takes place in Yokohama, Japan, at the PACIFICO Yokohama from 26 April to 1 May 2025, while also supporting remote attendance. The conference embraces the theme of Ikigai, a Japanese concept referring to what gives a person a sense of purpose, a reason for living. In today’s world, people are facing a multitude of challenges in climate change, growing inequality, technological disruption, global conflict, and health crises. Ikigai concerns the ability of a person to find their purpose and balance their agency, their passion, their capabilities, and the impact they can have. The CHI community consists of people with many passions and talents, people from different disciplines and walks of life. In harnessing our ‘Ikigai’ into a communal ‘IkiCHI’ we can be greater than the sum of our efforts and offer unique contributions to solving the difficult challenges ahead.
Internet address	https://chi2025.acm.org/

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10.1145/3706599.3719822

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Bucalon, B., Williams, C., Conley, J., Veysey, M., Shaw, T., & Kay, J. (2025). Towards Clinical Practice Reflection Based on Repurposed Administrative Data: Qualitative Study of Physicians and Surgeons. In N. Yamashita, V. Evers, K. Yatani, & X. Ding (Eds.), CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-9). Article 533 Association for Computing Machinery (ACM). https://doi.org/10.1145/3706599.3719822

Bucalon, Bernard ; Williams, Chris ; Conley, Jeanette et al. / Towards Clinical Practice Reflection Based on Repurposed Administrative Data: Qualitative Study of Physicians and Surgeons. CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. editor / Naomi Yamashita ; Vanessa Evers ; Koji Yatani ; Xianghua (Sharon) Ding. New York : Association for Computing Machinery (ACM), 2025. pp. 1-9

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

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{\textquoteright} 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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doi = "10.1145/3706599.3719822",

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Bucalon, B, Williams, C, Conley, J, Veysey, M, Shaw, T & Kay, J 2025, Towards Clinical Practice Reflection Based on Repurposed Administrative Data: Qualitative Study of Physicians and Surgeons. in N Yamashita, V Evers, K Yatani & X Ding (eds), CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems., 533, Association for Computing Machinery (ACM), New York, pp. 1-9, 2025 ACM CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 26/04/25. https://doi.org/10.1145/3706599.3719822

Towards Clinical Practice Reflection Based on Repurposed Administrative Data: Qualitative Study of Physicians and Surgeons. / Bucalon, Bernard; Williams, Chris; Conley, Jeanette et al.
CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. ed. / Naomi Yamashita; Vanessa Evers; Koji Yatani; Xianghua (Sharon) Ding. New York: Association for Computing Machinery (ACM), 2025. p. 1-9 533.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

TY - GEN

T1 - Towards Clinical Practice Reflection Based on Repurposed Administrative Data: Qualitative Study of Physicians and Surgeons

AU - Bucalon, Bernard

AU - Williams, Chris

AU - Conley, Jeanette

AU - Veysey, Martin

AU - Shaw, Tim

AU - Kay, Judy

PY - 2025/4/25

Y1 - 2025/4/25

N2 - 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.

AB - 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.

KW - Clinical Indicators

KW - Reflective Practice

KW - Physicians

KW - Surgeons

KW - Continuing Professional Development (CPD)

KW - Practice Analytics

KW - Think-aloud protocols

UR - https://www.scopus.com/pages/publications/105005766782

U2 - 10.1145/3706599.3719822

DO - 10.1145/3706599.3719822

M3 - Conference Paper

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EP - 9

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

A2 - Yamashita, Naomi

A2 - Evers, Vanessa

A2 - Yatani, Koji

A2 - Ding, Xianghua (Sharon)

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - 2025 ACM CHI Conference on Human Factors in Computing Systems

Y2 - 26 April 2025 through 1 May 2025

ER -

Bucalon B, Williams C, Conley J, Veysey M, Shaw T, Kay J. Towards Clinical Practice Reflection Based on Repurposed Administrative Data: Qualitative Study of Physicians and Surgeons. In Yamashita N, Evers V, Yatani K, Ding X, editors, CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery (ACM). 2025. p. 1-9. 533 doi: 10.1145/3706599.3719822

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

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