Tool

AI Prioritization & Value Assessment Scorecard

Interactive scorecard to evaluate, score, and record decisions about AI and automation pilots in healthcare. Balances patient impact, operational benefit, data readiness, implementation complexity, and ethical/regulatory risk with weighted scoring, recommended next steps, and fields to capture stakeholder input and pilot metrics.

Interactive Tool

AI Prioritization & Value Assessment Scorecard

This scorecard helps healthcare teams evaluate, compare, and prioritize AI or automation pilot opportunities by scoring five key dimensions: patient impact, operational benefit, data readiness, implementation complexity, and ethical/regulatory risk. Use the suggested weights or adapt them to your context. Enter ratings on a 0–10 scale, then calculate the weighted score using the formula provided. Suggested decision thresholds: 70 or above = Pilot; 45–69 = Explore (prepare/validate); below 45 = Hold.

Tips: involve clinicians and patient representatives for clinical impact and ethics scoring; involve informatics and analytics teams for data readiness; include implementation leads for complexity estimates. Save the completed scorecard to preserve the decision rationale and metrics for later review.

Short descriptive name for the AI/automation opportunity.
Person responsible for the pilot or sponsoring the opportunity.
Date of this assessment (YYYY-MM-DD).
How much benefit will this deliver to patients or clinical outcomes? 0 = no benefit, 10 = transformational clinical benefit.
1.0 10.0
Relative importance of patient impact for your organization. Suggested default: 30. Weights should sum roughly to 100 but may be adjusted.
Briefly note the clinical evidence, stakeholder views, or expected outcome improvements.
Benefit to operations, throughput, cost, staff time, or workflow efficiency. 0 = no benefit, 10 = major operational improvement.
1.0 10.0
Suggested default: 25.
Expected time saved, error reduction, cost impact, or other operational metrics.
Is the necessary data available, high-quality, and accessible for model development and monitoring? 0 = not ready, 10 = fully ready.
1.0 10.0
Suggested default: 15.
Describe data sources, sample size, label quality, linkage, and any governance or access issues.
How easy is it to implement and sustain this pilot? Score so that 0 = very complex / hard to implement, 10 = very easy to implement and integrate.
1.0 10.0
Suggested default: 15.
Technical integration, workflow change, training needs, vendor dependency, and monitoring burden.
Score so that 0 = high ethical or regulatory risk (major concerns), 10 = very low risk. Consider bias, transparency, patient safety, and regulatory implications.
1.0 10.0
Suggested default: 15.
List key risks, mitigation plans, required approvals, or clinical governance concerns.
Calculate and enter the overall score using this method: For each dimension compute (rating / 10) * weight. Sum those values and then divide by the sum of weights and multiply by 100. Example: if weights sum to 100 then sum of ((rating/10)*weight) gives the 0–100 score directly. Use the thresholds in the introduction to guide the decision.
Choose the action that best fits the score and organizational readiness. Use the scorecard result and stakeholder input when selecting.
Define measurable outcomes you will use to evaluate the pilot (clinical outcomes, false positive rate, time saved, user adoption, cost savings, etc.).
Who needs to sign off? Summarize clinical, compliance, IT, and patient/stakeholder feedback or outstanding concerns.
Explain why you selected the recommended next step, outline immediate actions, owners, and timelines.
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