Clinical Scorecard: Transforming Data Dashboard Design into Measurable Outcomes in Healthcare

At a Glance

Key Highlights

• Dashboards are increasingly used for bedside decision support and quality surveillance.
• Effective dashboard design requires consideration of sociotechnical components.
• Evaluation of dashboards should extend beyond usability to include clinical outcomes.
• Dashboards can identify patterns in clinical practice and support standardization.
• Equity and accessibility must be foundational requirements in dashboard development.

Guideline-Based Recommendations

Diagnosis

• Evaluate dashboards using a logic model that includes data, visualization, interpretation, decision, and outcome.

Management

• Incorporate multidisciplinary stewardship in dashboard development.

Monitoring & Follow-up

• Use dashboards to monitor practice changes and outcomes over time.

Risks

• Usability alone does not guarantee clinical effectiveness; dashboards may increase workload or errors.

Patient & Prescribing Data

Patients in pediatric intensive care units requiring sedation management

Dashboards can visualize sedation exposure and support practice standardization.

Clinical Best Practices

• Align dashboard refresh cadence with clinical decision moments.
• Ensure metric definitions and data quality are prioritized in design.
• Treat equity and accessibility as baseline requirements in dashboard design.

Related Resources & Content

• Vornhagen et al. scoping review
• Tufte's principles of information design
• Implementation science and quality improvement guidelines