Aim
Digital Health and Therapeutics: Trends Analysis focuses on how digital health and software-based therapeutics are evolving. Learn how to track products, evidence, adoption, and policy signals, and create a clear trends report for strategy and research use.
Program Objectives
- Digital Health & DTx: key terms, categories, and use cases.
- Trend Tracking: build a framework to monitor market and evidence.
- Evidence Review: outcomes, engagement metrics, validation basics.
- Data Sources: trials, publications, app analytics, RWE (overview).
- AI & Sensors: wearables, RPM, clinical decision support (overview).
- Regulation: SaMD/DTx pathways and documentation concepts.
- Privacy: security, consent, governance basics.
- Capstone: deliver a trends analysis report.
Program Structure
Module 1: Digital Health Landscape
- Categories: telehealth, remote monitoring, AI, DTx, SaMD.
- Stakeholders: patients, providers, payers, regulators.
- Adoption drivers and barriers.
- Key KPIs used in digital health.
Module 2: Digital Therapeutics (DTx) Basics
- DTx vs wellness apps: what makes a product “therapeutic”.
- Therapy areas: diabetes, mental health, cardio, rehab (overview).
- Clinical evidence types and endpoints (intro).
- Engagement and adherence metrics.
Module 3: Trends Analysis Framework
- Defining scope, questions, and time horizon.
- Trend signals: clinical evidence, product features, funding, policy.
- Competitive landscape mapping.
- Opportunity and risk scoring basics.
Module 4: Sources and Data Collection
- Tracking publications and trial pipelines (overview).
- App store signals: updates, ratings, growth indicators (concepts).
- Wearables and sensor ecosystems (overview).
- Building a tracking sheet and dashboard.
Module 5: AI, Remote Monitoring, and Personalization
- Wearables, IoT, RPM workflows.
- AI in diagnosis, triage, and decision support (overview).
- Personalized interventions and adaptive programs (intro).
- Bias, safety, and explainability basics.
Module 6: Validation and Outcomes
- Clinical outcomes vs digital endpoints.
- Study designs: RCTs, pragmatic trials, real-world evidence.
- Interpreting evidence quality and limitations.
- Measuring value: adherence, cost, QoL, utilization (overview).
Module 7: Regulatory, Privacy, and Reimbursement (Overview)
- SaMD/DTx compliance and change management concepts.
- Privacy and security: consent, storage, access control.
- Reimbursement: proof of value and payer adoption signals.
- Ethics and equity: digital divide considerations.
Module 8: Reporting and Communication
- Report structure: landscape, signals, evidence, implications.
- Trend narratives and supporting data points.
- Simple visuals: tables, timelines, and KPI snapshots.
- Writing a clear executive summary.
Final Project
- Select one area (e.g., diabetes DTx, mental health, cardio RPM).
- Deliverables: trend map + competitor table + KPI dashboard (basic) + short report.
- Submit: trends analysis report with recommendations.
Participant Eligibility
- Healthcare, Pharmacy, Biotechnology, Public Health, Data Science students/professionals
- Clinical research, strategy, and product beginners
- Basic healthcare terminology helpful
Program Outcomes
- Explain digital health and DTx categories.
- Track trends using structured sources and KPIs.
- Evaluate evidence strength and adoption signals.
- Create a portfolio-ready trends report.
Program Deliverables
- e-LMS Access: templates, examples.
- Toolkit: tracking sheet, KPI checklist, report outline.
- Assessment: certification after capstone submission.
- e-Certification and e-Marksheet: digital credentials.
Future Career Prospects
- Digital Health Analyst
- DTx Research Associate
- Healthcare Product/Strategy Associate
- Clinical Innovation Coordinator
Job Opportunities
- HealthTech: product, analytics, and clinical teams.
- Hospitals: digital transformation and innovation units.
- Pharma: digital health partnerships and evidence teams.
- CRO/Consulting: market and evidence analysis roles.
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