# Healthcare Analytics

Advanced healthcare analytics with population health management, quality measures, and predictive analytics.

## Features

- **Population Health**: Risk stratification and cohort management
- **Quality Measures**: HEDIS, MIPS, Star Ratings
- **Predictive Analytics**: ML-based risk prediction
- **Cost Analysis**: Total cost of care, resource utilization
- **Clinical Outcomes**: Mortality, readmission, complications
- **Business Intelligence**: Dashboards and reporting

## Analytics Types

- Descriptive (what happened)
- Diagnostic (why it happened)
- Predictive (what will happen)
- Prescriptive (what to do)

## Quick Start

### Population Health Analysis

```rust
use healthcare_analytics::*;

let analytics = HealthcareAnalytics::new();

// Define population
let population = analytics.create_population(
    "diabetes_patients",
    vec![
        Criteria::Diagnosis("E11.9"), // Type 2 diabetes
        Criteria::AgeRange(18, 75)
    ]
)?;

// Calculate risk scores
let risk_scores = analytics.calculate_risk_scores(&population)?;
```

### Quality Measures

```typescript
import { QualityMeasures } from '@ggen/healthcare-analytics';

const measures = new QualityMeasures();

// HEDIS measure: Diabetes HbA1c control
const result = measures.calculate('CDC-HbA1c', {
  population: diabetesPatients,
  measurementPeriod: '2024-01-01/2024-12-31'
});

console.log(`Performance rate: ${result.performanceRate}%`);
console.log(`Benchmark: ${result.benchmark}%`);
```

### Predictive Analytics

```python
from healthcare_analytics import PredictiveModel

model = PredictiveModel('readmission_risk')
model.load('models/readmission_30day.pkl')

# Predict readmission risk
prediction = model.predict(patient_data)
print(f"30-day readmission risk: {prediction.probability:.2%}")
print(f"Risk factors: {prediction.top_factors}")
```

## Quality Measures

- **HEDIS**: Comprehensive care measures
- **MIPS**: Quality payment program
- **Star Ratings**: Medicare Advantage
- **Core Measures**: Joint Commission

## Predictive Models

- 30-day readmission risk
- Mortality prediction
- Hospital-acquired conditions
- Length of stay estimation
- Cost prediction

## Cost Analytics

- Total cost of care (TCOC)
- Cost per member per month (PMPM)
- Resource utilization
- Waste reduction opportunities

## Data Sources

- EHR data integration
- Claims data (837, 835)
- Registry data
- Social determinants of health (SDOH)

## Dashboards

- Executive dashboard
- Clinical quality dashboard
- Population health dashboard
- Financial analytics dashboard

## Compliance

- HIPAA de-identification
- GDPR privacy
- Value-based care reporting

## Architecture

- 274 lines RDF ontology
- 10 SPARQL queries
- ML model integration
- 520+ lines TDD tests

## License

MIT
