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From Design to Accountable Impact for Data Dashboards in Health Care

Barbara-Jo Achuff¹

¹Department of Pediatrics, Department of Biomedical Informatics, Vanderbilt School of Medicine, Vanderbilt University Medical Center, 2200 Children's Way, 5121 DOT, Nashville, TN, 37232, United States, 1 615-343-2996.

Journal of Medical Internet Research

|May 25, 2026

Summary

This study synthesizes design practices for healthcare dashboards, proposing accountable dashboarding. It emphasizes evaluating dashboards beyond usability to include decision quality and patient outcomes for better clinical decisions.

Area of Science:

Health Informatics
Human-Computer Interaction
Clinical Decision Support

Background:

Healthcare dashboards are increasingly used to mediate clinical decisions and quality improvement.
Existing design practices for these tools need synthesis and a structured approach.
The rapid expansion of dashboards necessitates a framework for their thoughtful development.

Purpose of the Study:

To synthesize design practices for developing effective healthcare dashboards.
To introduce the concept of accountable dashboarding, linking data to outcomes.
To propose a comprehensive evaluation framework for healthcare dashboards.

Main Methods:

Synthesis of existing design practices into four key pillars.
Conceptualization of accountable dashboarding as a sociotechnical intervention.
Recommendation for extended evaluation metrics beyond usability.

Main Results:

A practical framework with four pillars for developing useful healthcare dashboards.
The definition of accountable dashboarding, emphasizing explicit causal chains.
A call for evaluating dashboards based on decision quality, behavioral proxies, and patient outcomes.

Conclusions:

Healthcare dashboards require a sociotechnical approach, integrating design, data, and implementation.
Accountable dashboarding ensures transparency and accountability in the use of healthcare data.
Comprehensive evaluation is crucial for optimizing the impact of dashboards on patient care and outcomes.

Keywords:

clinical decision support data governance data quality data visualization health care dashboards implementation science quality improvement visual analytics workflow integration

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