Duration: 2 hours Prerequisites: All previous sessions Session Type: Collaborative Design Workshop

• Design a complete digital health solution incorporating 2026 trends and technologies
• Address real healthcare challenges with innovative technology approaches
• Create comprehensive project roadmaps for digital health implementations
• Demonstrate strategic thinking and solution architecture skills

Current Situation

• 34.2 million Americans have diabetes, with 88 million having prediabetes
• Poor medication adherence leads to 125,000 deaths annually
• Diabetic complications cost the healthcare system $327 billion yearly
• Traditional care model relies on quarterly clinic visits with limited monitoring
• Patient engagement and self-management support are inadequate

Stakeholder Pain Points

• Patients: Limited support between visits, difficulty managing complex care plans
• Providers: Insufficient data for clinical decision-making, reactive rather than proactive care
• Payers: High costs from preventable complications and emergency interventions
• Health Systems: Resource constraints, need for population health management capabilities

• AI Adoption: 66% of physicians using AI tools, 71% of hospitals with EHR-integrated AI
• Remote Monitoring: 8.82% annual growth in RPM market with improved reimbursement
• Mobile Health: Ubiquitous smartphone adoption with health app integration
• Interoperability: FHIR standards enabling seamless data exchange
• Predictive Analytics: Advanced algorithms for risk stratification and intervention

Comprehensive Diabetes Management Ecosystem

• Patient Mobile App: Daily monitoring, education, and engagement platform
• Provider Dashboard: Clinical decision support and population health management
• Remote Monitoring: Continuous glucose monitors, smart devices, and sensors
• AI Analytics Engine: Predictive modeling and personalized care recommendations
• Care Coordination: Multidisciplinary team collaboration and communication tools

Patient-Facing Mobile Application

• Daily Monitoring: Blood glucose logging, medication tracking, symptom reporting
• Educational Content: Personalized diabetes education and lifestyle recommendations
• Care Plan Management: Medication schedules, appointment reminders, goal tracking
• Social Support: Peer community, family involvement, care team communication
• Emergency Features: Hypoglycemia alerts, emergency contact integration

Provider Clinical Dashboard

• Patient Population Overview: Risk stratification and priority patient identification
• Individual Patient Profiles: Comprehensive health data and trend analysis
• Clinical Decision Support: Evidence-based treatment recommendations and alerts
• Care Plan Templates: Standardized protocols with personalization capabilities
• Outcome Tracking: Quality metrics, goal achievement, and clinical improvement

Remote Monitoring Integration

• Device Connectivity: CGM, blood pressure monitors, smart scales, activity trackers
• Real-Time Alerts: Critical value notifications and trend-based warnings
• Data Integration: Seamless flow from devices to EHR and clinical workflows
• Patient Engagement: Automated coaching and intervention based on monitoring data
• Family/Caregiver Access: Appropriate data sharing and alert notifications

Artificial Intelligence and Machine Learning

• Risk Prediction Models: HbA1c prediction, complication risk assessment
• Personalized Recommendations: Individualized lifestyle and medication suggestions
• Pattern Recognition: Identifying glucose trends and intervention opportunities
• Chatbot Support: AI-powered patient questions and triage capabilities
• Outcome Prediction: Treatment response modeling and optimization

Interoperability and Data Exchange

• FHIR API Integration: Seamless connection with EHR and health systems
• Health Information Exchange: Regional data sharing for comprehensive care
• Pharmacy Integration: Medication adherence tracking and refill management
• Laboratory Integration: Automated lab result incorporation and trending
• Insurance Integration: Prior authorization and benefit verification

Analytics and Population Health

• Population Dashboards: Community-wide diabetes management and outcomes
• Social Determinants: Integration of housing, food security, and transportation data
• Predictive Modeling: Population-level risk assessment and resource allocation
• Quality Reporting: Automated HEDIS and quality measure calculation
• Research Capabilities: De-identified data for clinical research and improvement

Phase 1: Foundation and Core Features (Months 1-6)

• Basic mobile app with glucose logging and medication tracking
• Provider dashboard with patient data visualization
• Core device integration (CGM, blood glucose meters)
• Basic clinical decision support and alert system
• HIPAA-compliant infrastructure and security implementation

Phase 2: Intelligence and Automation (Months 7-12)

• AI-powered risk prediction and personalized recommendations
• Advanced remote monitoring with automated interventions
• Care team coordination and communication tools
• Population health analytics and reporting capabilities
• Insurance and pharmacy integration for comprehensive care

Phase 3: Advanced Features and Expansion (Months 13-18)

• Predictive modeling for complication prevention
• Social determinants integration and community resource connection
• Research capabilities and clinical outcomes tracking
• Multi-condition support (hypertension, obesity, cardiovascular disease)
• Advanced analytics and machine learning optimization

Cloud-Native Infrastructure

• Scalable Platform: AWS or Azure with auto-scaling capabilities
• Microservices Architecture: Modular, independently deployable components
• API-First Design: RESTful APIs supporting multiple client applications
• Security Framework: Zero-trust architecture with comprehensive data protection
• Compliance Infrastructure: HIPAA, SOC 2, and FDA compliance capabilities

Data Management Strategy

• Real-Time Processing: Stream processing for continuous monitoring data
• Data Lake Architecture: Structured and unstructured data storage and processing
• Master Data Management: Patient, provider, and device identity management
• Analytics Platform: Advanced analytics and machine learning infrastructure
• Backup and Recovery: Comprehensive data protection and disaster recovery

Integration Framework

• EHR Integration: Epic, Cerner, and other major EHR system connectivity
• Device Integration: Multiple device manufacturer support and standardization
• Pharmacy Networks: Major pharmacy chain and PBM integration
• Payer Systems: Insurance company connectivity for benefits and authorization
• Public Health: State and federal reporting system integration

• Subscription-Based: Monthly per-patient fees for healthcare organizations
• Value-Based Care: Shared savings from improved outcomes and reduced costs
• Device Partnerships: Revenue sharing with monitoring device manufacturers
• Pharmaceutical Partnerships: Medication adherence and outcomes improvement programs
• Data Analytics: De-identified population health insights for research organizations

Year 1-2: Development and Launch

• Initial investment: $5M for development, infrastructure, and regulatory compliance
• Target: 1,000 patients across 5 healthcare organizations
• Revenue: $500K annually from pilot programs and partnerships

Year 3-4: Scale and Growth

• Market expansion: 25,000 patients across 50 healthcare organizations
• Annual revenue: $12M from subscriptions and value-based contracts
• Break-even achievement with positive cash flow

Year 5: Market Leadership

• Patient population: 100,000 patients across 200 healthcare organizations
• Annual revenue: $50M with 25% profit margins
• Market expansion to additional chronic conditions and international markets

• Reduced Emergency Visits: 30% reduction in diabetes-related ED visits
• Improved Medication Adherence: 25% increase in medication compliance
• Lower HbA1c Levels: 1.2% average reduction in HbA1c across patient population
• Prevented Complications: 40% reduction in preventable diabetic complications
• Quality Bonus Payments: Improved HEDIS scores and value-based care performance

• Integration Complexity: Multiple EHR and device integration challenges
• Scalability Issues: Performance problems under high user loads
• Security Vulnerabilities: Data breaches and cybersecurity threats
• Regulatory Compliance: FDA approval and ongoing compliance requirements

• Competition: Established players and new market entrants
• Adoption Resistance: Provider and patient adoption challenges
• Reimbursement: Changes in insurance coverage and payment models
• Economic Conditions: Healthcare spending constraints and budget pressures

• Phased Rollout: Gradual implementation reducing technical and adoption risks
• Strong Partnerships: Collaboration with established healthcare technology vendors
• Regulatory Strategy: Early FDA engagement and compliance-first design
• Financial Diversification: Multiple revenue streams and flexible pricing models

1. Solution Architecture Document: Comprehensive technical and functional design
2. Implementation Roadmap: Detailed project timeline with milestones and dependencies
3. Business Model Canvas: Revenue streams, key partnerships, and value propositions
4. Risk Assessment Matrix: Identified risks with probability, impact, and mitigation strategies
5. Success Metrics Framework: KPIs for clinical, operational, and financial outcomes

1. Executive Pitch Deck: Investor and executive-ready solution presentation
2. Technical Architecture Diagrams: System design and integration specifications
3. Clinical Workflow Maps: Provider and patient journey optimization
4. Financial Projections: 5-year business model and ROI calculations
5. Demo Storyboard: User experience walkthrough for key stakeholders

1. MVP Definition: Minimum viable product scope and requirements
2. Partnership Strategy: Key vendor and healthcare system partnerships
3. Funding Requirements: Investment needs and potential funding sources
4. Regulatory Pathway: FDA approval strategy and compliance planning
5. Go-to-Market Strategy: Launch plan and customer acquisition approach

• Incorporation of cutting-edge 2026 digital health trends
• Creative solutions to complex healthcare challenges
• Integration of multiple technology platforms and approaches
• Novel approaches to patient engagement and clinical workflow

• Realistic technical architecture and implementation approach
• Understanding of healthcare IT infrastructure and constraints
• Appropriate use of emerging technologies and standards
• Scalable and maintainable solution design

• Compelling value proposition for multiple stakeholders
• Realistic financial projections and business model
• Understanding of healthcare economics and reimbursement
• Sustainable competitive advantage and market positioning

• Comprehensive implementation planning and risk management
• Appropriate resource requirements and timeline estimates
• Change management and adoption strategies
• Regulatory and compliance considerations

• Digital health solutions require integration of multiple technologies and stakeholders
• Patient engagement and clinical workflow integration are critical success factors
• AI and predictive analytics enable personalized and proactive care delivery
• Business models must align with healthcare economics and value-based care trends
• Implementation success depends on careful planning, partnerships, and change management
• Regulatory compliance and patient safety must be embedded from solution inception

Session 18, the final session, will feature presentations of capstone projects and career development discussions, where participants present their professional work, receive feedback, and plan their career advancement in healthcare business analysis and digital health.