Paper Number
ICIS2026-3829
Paper Type
Short
Abstract
AI-supported documentation is increasingly promoted to reduce clinicians’ documentation burden, promising efficiency and more time for patient care. Yet in a voluntary initiative in Danish general practice, an AI clinical scribe increased rather than reduced documentation work, while GPs continued to view AI-supported documentation as promising. Drawing on rationalized myth and institutional translation theory, we examine how a technology idea retains legitimacy despite poor performance. Through a qualitative case study, we identify two interpretive moves: GPs localize shortcomings to the artifact and workflow and temporalize expected benefits to later, more mature translations. These moves restrict what poor local performance is taken to disconfirm. We contribute to IS research on technology ideas by showing how professional users maintain a technology promise despite contradictory experience, and to institutional translation research by showing how localization and temporalization can preserve the legitimacy of a rationalized myth despite poor performance of a local translation.
Recommended Citation
Andersen, Magnus Rahbæk Finderup; Nielsen, Jeppe Agger; and Jørgensen, Natasha Lee, "When Technology Ideas Retain Legitimacy Despite Failure: Insights from Danish General Practice" (2026). ICIS 2026 Proceedings. 25.
https://aisel.aisnet.org/icis2026/health/health/25
When Technology Ideas Retain Legitimacy Despite Failure: Insights from Danish General Practice
AI-supported documentation is increasingly promoted to reduce clinicians’ documentation burden, promising efficiency and more time for patient care. Yet in a voluntary initiative in Danish general practice, an AI clinical scribe increased rather than reduced documentation work, while GPs continued to view AI-supported documentation as promising. Drawing on rationalized myth and institutional translation theory, we examine how a technology idea retains legitimacy despite poor performance. Through a qualitative case study, we identify two interpretive moves: GPs localize shortcomings to the artifact and workflow and temporalize expected benefits to later, more mature translations. These moves restrict what poor local performance is taken to disconfirm. We contribute to IS research on technology ideas by showing how professional users maintain a technology promise despite contradictory experience, and to institutional translation research by showing how localization and temporalization can preserve the legitimacy of a rationalized myth despite poor performance of a local translation.
Comments
19_Healthcare_and_wellbeing