ArticleJMIR human factors2022
Enriching the Value of Patient Experience Feedback: Web-Based Dashboard Development Using Co-design and Heuristic Evaluation.
Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Usability Evaluation of Dashboards: A Systematic Literature Review of Tools.BioMed research international · 2023Pooled it
- Design Principles for Interactive Dashboards in Drug Safety Surveillance: Design Science Research.JMIR medical informatics · 2026Article
- Design Practices for Data Dashboards in Health Care: Scoping Review.Journal of medical Internet research · 2026Review
- Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation.JMIR medical informatics · 2025Article
- Designing a Real-Time Medication Intake and Adherence Dashboard: Features, Functionality, and Data Display to Meet the Needs of Patients, Care Partners and Healthcare Providers.Journal of medical systems · 2025Article
- Towards a Novel Patient Experience Survey System: Incorporating Physician Perspectives into Performance Feedback Dashboard Design.Journal of patient experience · 2025Article
- Participatory Design: Addressing Speech-Language Pathologists' Challenges through Collaborative Interface Design.Design issues · 2025Article
- From Data to Decision: Design and Evaluation of a Patient Safety Dashboard.Medical journal of the Islamic Republic of Iran · 2025Article
- Artificial intelligence after the bedside: co-design of AI-based clinical informatics workflows to routinely analyse patient-reported experience measures in hospitals.BMJ health & care informatics · 2024Article
- Involving Health Professionals in the Development of Quality and Safety Dashboards: Qualitative Study.Journal of medical Internet research · 2023Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is an abundance of patient experience data held within health care organizations, but stakeholders and staff are often unable to use the output in a meaningful and timely way to improve care delivery. Dashboards, which use visualized data to summarize key patient experience feedback, have the potential to address these issues.
objectiveThe aim of this study is to develop a patient experience dashboard with an emphasis on Friends and Family Test (FFT) reporting, as per the national policy drive.
methodsA 2-stage approach was used-participatory co-design involving 20 co-designers to develop a dashboard prototype, followed by iterative dashboard testing. Language analysis was performed on free-text patient experience data from the FFT, and the themes and sentiments generated were used to populate the dashboard with associated FFT metrics. Heuristic evaluation and usability testing were conducted to refine the dashboard and assess user satisfaction using the system usability score.
resultsThe qualitative analysis from the co-design process informed the development of the dashboard prototype with key dashboard requirements and a significant preference for bubble chart display. The heuristic evaluation revealed that most cumulative scores had no usability problems (18/20, 90%), had cosmetic problems only (7/20, 35%), or had minor usability problems (5/20, 25%). The mean System Usability Scale score was 89.7 (SD 7.9), suggesting an excellent rating.
conclusionsThe growing capacity to collect and process patient experience data suggests that data visualization will be increasingly important in turning feedback into improvements to care. Through heuristic usability, we demonstrated that very large FFT data can be presented in a thematically driven, simple visual display without the loss of the nuances and still allow for the exploration of the original free-text comments. This study establishes guidance for optimizing the design of patient experience dashboards that health care providers find meaningful, which in turn drives patient-centered care.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.