Risk Stratification Scorecard Template

Purpose

This scorecard helps teams reliably identify patients at higher risk of avoidable utilization and poor outcomes so limited case-management capacity is deployed where it will help most. Use it to screen populations, prioritize outreach, standardize interventions by tier, and measure results over time.

How to use this tool

1. Define the population you will screen (e.g., all discharges, panels for primary care, Medicaid cohort).
2. Collect or extract the risk-factor inputs (EHR, claims, care manager intake, patient-reported data).
3. Apply the scoring algorithm below to produce a numeric risk score for each patient.
4. Map the score to a risk tier and apply the corresponding intervention bundle and outreach cadence.
5. Record outreach and outcomes and track the KPIs in the measurement dashboard sample included here.

Risk factor checklist and suggested weights

Below are common predictors of high utilization and poor outcomes. These weights are starting points—validate and tune them for your population.

• Recent inpatient admission (within 30 days) — weight: 3
• Two or more ED visits in last 6 months — weight: 3
• Multiple (≥2) chronic conditions — weight: 2
• Polypharmacy (≥10 active medications) — weight: 2
• High-risk diagnosis (e.g., advanced heart failure, COPD on oxygen, ESRD) — weight: 3
• Frequent missed appointments / poor engagement — weight: 1
• Behavioral health comorbidity (serious mental illness, active substance use) — weight: 2
• Social risk factors (housing instability, food insecurity, transportation barriers) — weight: 2
• Recent falls or functional decline — weight: 2
• High-cost claims or utilization in last 12 months — weight: 2

Scoring algorithm

Add the weights for each item present to create a simple composite score. Example thresholds (customize after validation):

• Low risk: 0–2
• Moderate risk: 3–5
• High risk: 6+

Example: Patient A has one recent admission (3), 2 chronic conditions (2), and housing instability (2) → score = 7 → High risk.

Intervention bundles by risk tier (templates to adapt)

Low risk

• Primary care follow-up reminder and preventative care check
• Self-management education and digital resources
• Low-intensity outreach (phone or secure message within 14 days)

Moderate risk

• Assign to a care coordinator for 1:1 outreach
• Medication reconciliation and review
• Social needs screening and targeted referrals (food, transportation)
• Follow-up scheduled within 7 days; check-in cadence every 1–2 weeks for 2 months

High risk

• Intensive case management with care plan and goals
• Home visit or telehealth comprehensive assessment
• Transitional care bundle for recent discharges (med reconciliation, early PCP visit, red-flag education)
• Rapid outreach attempt within 48–72 hours; ongoing weekly contact or as clinically indicated
• Consider specialty referrals (palliative care, social work, behavioral health)

Suggested outreach cadence template

• High risk: contact attempt within 48–72 hours, then weekly for first month, then biweekly for 2 months, reassess.
• Moderate risk: contact within 7 days, then every 1–2 weeks for 1–2 months, reassess.
• Low risk: contact within 14 days or at next routine visit; provide self-management resources.

Measurement dashboard: sample KPIs

Track these to evaluate whether stratification and interventions are reducing utilization and improving engagement.

• % of high-risk patients contacted within 72 hours
• Enrollment rate into care-management among identified high-risk patients
• 30-day readmission rate (high-risk cohort vs. matched control)
• ED visits per 1,000 members per month (stratified by tier)
• Average time from discharge to first contact
• Patient-reported outcomes or activation (if collected)
• Social needs referrals completed

Sample referral template (adapt for EHR or secure messaging)

Use a concise, structured referral message to expedite triage.

Care manager handoff form (copyable fields)

1. Patient identifiers: name, DOB, MRN, contact method and preferred language.
2. Risk score and contributing factors.
3. Recent utilization and reason for recent admission/ED visit.
4. Current meds and medication concerns.
5. Social needs and barriers.
6. Immediate safety concerns and advanced directives if available.
7. Recommended initial actions and urgency (e.g., Contact within 48 hrs; home visit requested).
8. Assigned care manager and contact details.

Implementation notes and validation

• Tune weights and thresholds using historical data: run the scorecard on prior cohorts and compare predicted high-risk to observed utilization (readmissions, ED visits).
• Document inclusion/exclusion criteria and update regularly.
• Address data quality (missing meds, incomplete social risk documentation) before heavy operational reliance.
• Ensure workflows comply with privacy, consent, and local data governance rules when integrating EHR or claims data.
• Train care managers on consistent scoring, handoff expectations, and how to record contacts and outcomes in the system of record.

Next steps & capability suggestions

This static template is ready to use, but can be materially more useful if converted into interactive components and linked to data sources. Consider:

• Building an interactive scorecard form so staff can enter factors, calculate scores, and save submissions to the content database.
• Connecting saved submissions to a simple dashboard that shows current cohort counts by tier, outreach status, and the KPIs above.
• Packaging this tool as a reusable toolkit for teams to copy and tailor (weights, thresholds, intervention bundles) to local context.

See Capability Enhancement Notes for concrete integration suggestions.

Sample image search phrase

patient risk stratification dashboard