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

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.

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Published
2026-04-13
DOI
https://doi.org/10.1145/3772318.3790759
Citations
1
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Lina Palaiodimou, Michał Karliński, Mathias Sand Kristensen, Robert Mikulík et al.
1 citations
Data Visualization and Analytics
article

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

Lina Palaiodimou, Michał Karliński, Mathias Sand Kristensen, Robert Mikulík, Hendrik Knoche, Hamzah Ziadeh
article en
1 citations

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.

University General Hospital Attikon (GR), Institute of Psychiatry and Neurology (PL), University of Glasgow (GB), Aalborg University (DK)
European Cooperation in Science and Technology, HORIZON EUROPE Health
Openalex Percentile: Top 22%
Data Visualization and Analytics
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"Alone and Adrift in Analytics" - Insights from Long-term Involvements with stroke Clinicians when Using Care Quality Monitoring Systems — Lina Palaiodimou, Michał Karliński, et al. · (2026) | TGRS Research Map | TGRS