AI-Powered Medication Adherence Framework
How OrbDoc improves medication adherence through ambient AI capture, continuous monitoring, and targeted interventions.
Schedule Adherence DemoThe Challenge
Medication Non-Adherence Rate
Annual Deaths from Non-Adherence
Annual Healthcare Costs
4-Phase Adherence Framework
AI Capture at Discharge
Ambient AI documents discharge conversations, capturing medication education and patient concerns in real-time.
Risk Stratification
AI analyzes patient data, pharmacy records, and SDOH factors to stratify adherence risk levels.
Targeted Interventions
Personalized outreach strategies based on individual risk factors and adherence barriers.
Outcome Tracking
Continuous monitoring and measurement of adherence improvements and clinical outcomes.
Patient Journey Example
Discharge: AI-Captured Education
Patient with Type 2 diabetes discharged after DKA. OrbDoc captures entire medication education conversation, identifying SDOH barriers, side effect concerns, and transportation issues.
30 Days Post-Discharge: Risk Analysis
AI aggregates pharmacy records, patient app data, and clinical indicators. Detects 40% missed Metformin doses, delayed insulin refill, elevated A1C trend. Classified as HIGH RISK.
Targeted Intervention
Case manager receives AI-generated talking points. Patient enrolled in pharmacy delivery, switched to extended-release Metformin, scheduled nutrition counseling.
3-Month Outcomes
Expected Outcomes
Clinical Quality
- Medication Adherence: 65% → 85%
- 30-Day Readmissions: -20-30%
- Patient Engagement: 75% Active
Operational Efficiency
- Case Manager Capacity: +40%
- Documentation Time: -15 min/patient
- AI-Powered Targeting
Financial Impact
- Medicare Star Ratings: 4+ Stars
- Penalty Reduction: Significant
- ROI Timeline: 6-12 months
Implementation Questions
What is the implementation timeline? ▼
Foundation setup takes 4 weeks, pilot launch 4 weeks, scale and optimize 8 weeks, with full deployment by month 5.
How does the risk stratification work? ▼
AI integrates pharmacy records, patient app data, SDOH factors, and clinical indicators to predict adherence risk and prioritize interventions.
What patient populations benefit most? ▼
Patients with chronic conditions (diabetes, COPD, heart failure), complex medication regimens, and identified SDOH barriers see the greatest improvements.
Ready to improve medication adherence?
Specialized implementation support for medication adherence initiatives.