Case Study

AI-Powered Medication Adherence & Patient Engagement Framework

How OrbDoc transforms medication adherence through ambient AI capture at discharge, continuous monitoring, and targeted interventions based on risk stratification.

50%
Medication Non-Adherence Rate
125K
Annual Deaths from Non-Adherence
$100B
Annual Healthcare Costs

OrbDoc's 4-Phase Adherence Framework

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Phase 1: AI Capture

Ambient AI documents discharge conversations, capturing medication education and patient concerns in real-time.

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Phase 2: Risk Analysis

AI analyzes patient data, pharmacy records, and SDOH factors to stratify adherence risk levels.

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Phase 3: Targeted Intervention

Personalized outreach strategies based on individual risk factors and adherence barriers.

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Phase 4: Outcome Tracking

Continuous monitoring and measurement of adherence improvements and clinical outcomes.

Real-World Patient Journey: Maria's Story

1

Discharge: AI-Captured Education

Maria, 58, with Type 2 diabetes, discharged after DKA. OrbDoc captures entire medication education conversation.

Captured: "That Metformin makes me feel sick sometimes. I usually skip it when my stomach is upset... My daughter picks up medications but she's working double shifts lately."

SDOH Barriers Identified Side Effect Concerns Transportation Issues
2

30 Days Post-Discharge: Risk Analysis

AI aggregates pharmacy records, patient app data, and clinical indicators to assess adherence risk.

Risk Factors Detected:

  • β€’ 40% missed Metformin doses
  • β€’ Delayed insulin refill (5 days)
  • β€’ Transportation barriers confirmed
  • β€’ Elevated A1C trend

AI Classification:

HIGH RISK

Immediate intervention required

3

Targeted Intervention: Personalized Support

Case manager receives AI-generated talking points and intervention recommendations.

Enrolled in pharmacy delivery service
Switched to extended-release Metformin for GI tolerance
Scheduled nutrition counseling for meal timing
Connected daughter with family support resources
4

3-Month Outcomes: Measurable Improvement

9.8% β†’ 8.2%
A1C Improvement
60% β†’ 88%
Medication Adherence
0
ED Visits for DKA

Integrated Technology Platform

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Ambient AI Capture

  • Real-time conversation capture during discharge
  • Automatic SDOH barrier identification
  • Patient comprehension scoring
  • Structured discharge documentation
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Risk Analytics Engine

  • Multi-source data integration
  • Predictive adherence modeling
  • Real-time risk stratification
  • Care team alert prioritization
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Patient Engagement Tools

  • Smart medication reminders
  • Symptom tracking and alerts
  • Direct care team messaging
  • Personalized education content

Advanced Implementation Scenarios

Predictive Analytics: COPD Patient Risk Identification

Robert, 72, with COPD shows perfect pharmacy adherence but OrbDoc's AI identifies concerning patterns:

  • β€’ Discharge conversation captured frequent mentions of "forgetting" inhaler techniques
  • β€’ Historical data shows seasonal adherence drops during winter months
  • β€’ Recent widowhood noted; social isolation risk factors present

Proactive Intervention: Respiratory therapy refresher scheduled and COPD support group connection made before adherence issues manifest clinically.

Multi-Condition Coordination: Diabetes + Heart Failure + Hypertension

Eleanor manages multiple chronic conditions with complex medication schedules. OrbDoc provides:

  • β€’ Unified medication schedule incorporating all prescriptions
  • β€’ Condition-specific education and monitoring reminders
  • β€’ Coordinated reporting to endocrinologist, cardiologist, and PCP
  • β€’ Emergency protocols for concerning symptom combinations
Care Team Dashboard: Case Manager Optimization

Sarah, a case manager, logs in Monday morning to find her dashboard optimized by AI:

  • β€’ High-risk patients automatically prioritized at top of queue
  • β€’ Specific talking points generated for each patient interaction
  • β€’ Community resource recommendations based on SDOH factors
  • β€’ Success tracking for previous interventions and adjustments

Result: Caseload increased from 50 to 75 patients with improved outcomes due to AI-powered prioritization.

Implementation Roadmap

1-4

Foundation Setup (Weeks 1-4)

EHR integration, staff training, patient enrollment system, care protocol development

5-8

Pilot Launch (Weeks 5-8)

High-risk patient cohort enrollment, dashboard optimization, patient app beta testing

9-16

Scale & Optimize (Weeks 9-16)

Population expansion, predictive analytics, community resource integration

17+

Full Deployment (Month 5+)

System-wide rollout, advanced AI features, quality metric integration

Expected Transformation Outcomes

Clinical Quality

Medication Adherence 65% β†’ 85%
30-Day Readmissions -20-30%
Patient Engagement 75% Active

Operational Efficiency

Case Manager Capacity +40%
Documentation Time -15 min/patient
Intervention Targeting AI-Powered

Financial Impact

Medicare Star Ratings 4+ Stars
Penalty Reduction Significant
ROI Timeline 6-12 months

Ready to Transform Medication Adherence?

See how OrbDoc's AI-powered framework can revolutionize patient engagement and adherence outcomes

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