Preventive Health Indicators Analysis for Population Health Management

Develop a preventive health indicators analysis and population health management program for [ORGANIZATION NAME], with [NUMBER] beneficiaries/patients, of type [HEALTH_INSURER/CLINIC/CORPORATION/HOSPITAL].

**Population health management principles:**
- Stratify population by risk level (do not treat everyone the same)
- Identify the top 5% high-risk individuals consuming 50%+ of resources
- Act proactively before conditions worsen
- Measure the impact of each intervention

**PHASE 1 — Data Collection and Consolidation:**

**Data sources to integrate:**
- Electronic health records: diagnoses, medications, lab tests, procedures
- Insurance claims (for insurers): cost and frequency of use
- Periodic health exams / check-ups: laboratory and clinical results
- Self-reports: health surveys, wellness apps
- External data: census, IBGE, social vulnerability by ZIP code

**Minimum dataset for risk stratification:**
- Age, biological sex, ZIP code
- Active ICD codes (diagnoses under treatment)
- Chronic medications
- Last medical visit
- Exams from the past 12 months: blood count, blood glucose, cholesterol, kidney function, blood pressure
- Hospitalizations in the past 24 months
- Social vulnerability score (if available)

**PHASE 2 — Risk Stratification:**

**Green Level (Healthy Population — ~60%):**
- No active chronic diagnosis
- Lab results within normal parameters
- Last visit within 18 months
- Intervention: preventive medicine — screenings (colorectal, cervical, breast cancer, osteoporosis), vaccines, health education

**Yellow Level (Controlled Chronic Disease — ~30%):**
- 1-2 chronic conditions (hypertension, type 2 diabetes, dyslipidemia, COPD) on medication
- Labs with minor deviations but stable
- Last visit 6-12 months ago
- Intervention: proactive monitoring, treatment adherence, complication prevention

**Orange Level (High Complexity — ~8%):**
- 3+ chronic conditions (multimorbidity)
- Repeated hospitalizations (>1/year)
- Labs with significant deviations or instability
- Intervention: coordinated care, health navigator, individualized care plan

**Red Level (Crisis / Advanced Disease — ~2%):**
- Terminal or extreme complexity condition
- Frequent hospitalizations (>3/year)
- High emergency room utilization
- Intervention: intensive case management (dedicated case manager), palliative care if indicated

**PHASE 3 — Interventions by Risk Level:**

**Green — Primary Prevention Programs:**
- Screenings per SBMFC and CFM guidelines by age group
- Campaigns: vaccination, World AIDS Day, Breast Cancer Awareness Month
- Health education: healthy habits, nutrition, physical activity
- Contact frequency: 1x/year via app, portal, or telehealth

**Yellow — Chronic Disease Management:**
- Remote monitoring: app for blood glucose, blood pressure, weight tracking
- Automatic alerts: overdue labs, missed appointments, medication running low
- Educational groups (in-person or online): [CHRONIC DISEASE] — how to manage
- Follow-up telehealth: 1x/quarter with physician or nurse
- Individual goals: HbA1c < 7%, BP < 130/80, etc.

**Orange — Coordinated Care:**
- Individualized care plan: problem list, goals, responsible parties
- Multidisciplinary team: family physician, specialists, pharmacist, nutritionist, social worker
- Health navigator: dedicated person accompanying the patient
- Case conference: team discusses case 1x/month
- Hospitalization prediction: predictive model (e.g., LACE score) to forecast readmission risk

**Red — Intensive Management:**
- Dedicated case manager (1 per 20-30 patients)
- Home visits (when indicated)
- Palliative care: referral, family alignment
- ER access control: coordination to avoid unnecessary hospitalizations

**PHASE 4 — Program Impact Indicators:**

**Process Indicators (what we did):**
- Screening coverage by target population
- % of chronic patients with visit in past 6 months
- Chronic medication adherence (PDC — Proportion of Days Covered)

**Outcome Indicators (what improved):**
- Ambulatory Care Sensitive Hospitalization rate (ACSH)
- 30-day readmission rate
- Claims ratio (for insurers)
- Chronic disease control: % of diabetics with HbA1c < 8%, % of hypertensives with controlled BP
- Avoidable premature mortality

**PHASE 5 — Technology and Tools:**
- Health BI: Power BI + SQL or specific platforms (Amplimed, Conexa Saude, Nilo Saude)
- Predictive risk models: logistic regression or ML to forecast hospitalization
- Interoperability: RNDS (Brazilian National Health Data Network) — mandatory for insurers from [YEAR]
- LGPD (Brazilian data protection): anonymize data for aggregate analysis, consent for proactive outreach