"Alone and Adrift in Analytics" - Insights from Long-term Involvements with stroke Clinicians when Using Care Quality Monitoring Systems

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Authors: Hamzah Ziadeh, Mathias Sand Kristensen, Lina Palaiodimou, Michal Adam Karlinski, Terry Quinn, Robert Mikulík, Hendrik Knoche
Cited by: 1
References: 78

Abstract

Care quality improvement systems (CQIS) allow hospitals to monitor and improve their care by analysing performance data. However, many CQIS fail at helping clinicians improve as they see decreased use and stagnating care quality. In this paper, we investigate the use of one CQIS through ten qualitative activities carried out across five years. We synthesize and present our results regarding specific problems various stakeholders face, exact data visualization tasks that clinicians struggle with, and concrete solutions described by clinicians. Our research proposes steps that designers can take towards integrating data analysis interfaces and automating tasks in CQIS to assist with concrete data visualization problems identified by the 74 clinicians who participated in our study.

Fields of Study & Subjects

Data Visualization and Analytics Electronic Health Records Systems Acute Ischemic Stroke Management

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–17
Publication date
13 April 2026
Language
EN