Visualization Techniques for Summarizing Single Patient Health Data to Support Physicians' Clinical Decisions - A Scoping Review
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
Abstract
INTRODUCTION: User-centered data visualizations can reduce physician cognitive load and support clinical decision making. To facilitate the selection of appropriate visualizations for single patient health data summaries, this scoping review provides a literature overview of possible visualization techniques and the corresponding reported user-centered design phases.
METHODS: The publication databases PubMed, Web of Science, IEEE Xplore and ACM Digital Library were searched for relevant articles from 2017 to 2022.
RESULTS: Of the 777 articles screened, 78 articles were included in the final analysis. The most commonly used visualization techniques are table, scatterplot-line timeline, text and event timelines, with 24 other visualization techniques identified. The testing phase of the user centered design process is reported most frequently.
CONCLUSION: This scoping review can support developers in the selection of suitable visualizations for single patient health data by revealing the design space of possible visualization techniques.
Details
Original language | English |
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Pages (from-to) | 314-323 |
Number of pages | 10 |
Journal | Studies in health technology and informatics |
Volume | 317 |
Publication status | Published - 30 Aug 2024 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-7562-2707/work/167217244 |
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ORCID | /0000-0002-9888-8460/work/167217390 |
Scopus | 85203359721 |
Keywords
Keywords
- Clinical Decision-Making, Data Visualization, Decision Support Systems, Clinical, Electronic Health Records, Humans, User-Centered Design, User-Computer Interface