Digital Healthcare Program
Also known as Healthcare Informatics & IT in Healthcare
Digital transformation in healthcare extends far beyond isolated tech implementations. It is about scaling enterprise-wide value, operational resilience, and clinical breakthroughs.
This program equips leaders to evaluate, adopt, and orchestrate emerging technologies, ranging from cloud infrastructure, IoT, and interoperability platforms to advanced predictive analytics and Agentic AI, to capture a lasting competitive edge.
The program is customized to match the unique operational and strategic imperatives of your specific sector:
Hospitals & Health Systems: Remote patient monitoring (RPM), ambient clinical workflows, predictive capacity planning, and workforce optimization.
Health Insurance & Payers: Automated claims processing, predictive risk modeling, value-based care analytics, and member engagement platforms.
Pharma, Life Sciences & CROs: Decentralized clinical trials, real-world evidence (RWE) systems, digital biomarkers, and data-driven R&D pipelines.
Medical Device Companies: Edge computing, Software-as-a-Medical-Device (SaMD), connected devices, and IoT ecosystem architecture.
Healthcare IT & Consulting: Enterprise interoperability (FHIR/HL7 standards), scalable cloud platforms, and digital governance frameworks.
Specialized & Long-Term Care: Telehealth ecosystems, continuous patient monitoring, and decentralized care delivery models across home health, urgent care, and long-term facilities.
Wellness & Clinical Laboratories: Automated diagnostic pipelines, precision health insights, and consumer-facing digital health platforms.
This 4-course customized program (described below) prepares IT professionals and non-IT executives to lead at the intersection of healthcare and technology. Participants will learn to:
- Align health IT strategy across clinical, administrative, payor, and patient priorities, and evaluate Agentic AI and ambient clinical intelligence
- Design digital front-door and patient engagement platforms, including AI-enhanced clinical decision support and remote monitoring
- Modernize back-office operations through revenue cycle management, supply chain optimization, and ERP-driven quality reporting
- Apply AI, real-world evidence, and decentralized trial models to accelerate life-sciences R&D and precision-health strategy
- Govern health IT investment, navigate interoperability (FHIR/HL7) and AI regulatory frameworks, and build cybersecurity resilience
Select at least 4 courses from the following:
1. Healthcare IT: Evolution, Trends, & Management Practices
The healthcare ecosystem is undergoing an unprecedented digital shift driven by rapidly evolving clinical technologies, complex regulatory mandates, and rising expectations for patient-centered care. Designed for health system leaders, clinical executives, and technology professionals, this course examines the strategic, operational, and architectural transformations shaping modern healthcare IT.
Participants will evaluate healthcare IT through multi-stakeholder lenses—balancing the priorities of clinicians, health system administrators, payers, regulatory bodies, and patients. The curriculum bridges technological innovation with executive decision-making, equipping leaders to deploy emerging platforms like generative AI and ambient clinical intelligence while navigating interoperability frameworks, multi-cloud risk, and cybersecurity resilience.
Executive Learning Outcomes
Multi-Stakeholder Health System Strategy: Align technology initiatives across clinical, administrative, payer, and patient priorities to drive operational efficiency and care quality.
Clinical Innovation & Ambient AI: Evaluate high-impact clinical technologies, including Generative AI/LLMs for documentation, ambient intelligence, and predictive analytics in clinical workflows, and Agentic AI (autonomous clinical workflow agents, agentic scheduling/triage).
Interoperability & Data Liquidity: Master modern data exchange standards (FHIR/HL7) and navigate national interoperability frameworks to enable seamless, cross-enterprise data flow.
Regulatory Compliance & AI Governance: Navigate compliance drivers—including the 21st Century Cures Act, TEFCA, HIPAA modernizations, and emerging AI risk frameworks (NIST AI RMF, FDA AI guidelines).
Cybersecurity Resilience & Multi-Cloud Governance: Establish technical and managerial controls to mitigate ransomware, secure multi-cloud health environments, Zero Trust Architecture, and protect patient health information (PHI).
eHealth & Patient Empowerment: Leverage digital health platforms, remote monitoring, and virtual care models to deliver friction-free, patient-centered care.
Modern IT Delivery & Portfolio Management: Adapt IT service delivery models, agile portfolio management, and cross-functional governance to accelerate digital health transformation.
2. Front-Office Processes & Applications: External Value Chain
As healthcare shifts toward consumer-centric, value-based care models, digital front-office capabilities have become a critical differentiator. Modern healthcare organizations must bridge clinical delivery with seamless, personalized patient experiences—leveraging advanced analytics, mobile platforms, and AI-driven (Agentic AI) point-of-care tools to empower both care providers and healthcare consumers.
This course focuses on the strategic evaluation, selection, and deployment of customer-facing and clinical edge technologies. Technology and clinical executives will examine how to transform the external value chain—from digital front doors and patient portals to next-generation Clinical Decision Support (CDS) and ambient workflow tools. Participants will analyze organizational adoption frameworks, addressing provider cognitive load, patient digital literacy, and the governance required to scale high-touch digital health services.
Strategic Learning Objectives
The Digital Front Door & Consumer Engagement: Architect omnichannel, web, and mobile platforms that streamline access, scheduling, telehealth, and patient-provider communication across diverse demographic and digital literacy spectrums.
AI-Enhanced Clinical Decision Support (CDS): Evolve traditional CPOE and decision support systems into intelligent, real-time clinical assistant platforms that improve diagnostic accuracy and care plan adherence.
Ambient Intelligence & Provider Experience: Leverage ambient clinical documentation and AI tools to reduce administrative burden, mitigate clinician burnout, and restore focus to point-of-care patient interactions.
External Value Chain Integration: Align marketing, access, care delivery, and post-acute engagement into a unified, friction-free patient journey.
Behavioral Adoption & Change Management: Apply human-centered design and organizational change frameworks to overcome provider adoption friction and maximize patient portal utilization.
Ethical AI & Data-Driven Patient Empowerment: Deploy personalized digital health tools, remote monitoring devices, and consumer analytics while maintaining strict patient privacy, data ethics, and algorithmic transparency.
3. Back-Office Processes & Applications: Internal Value Chain
Achieving high-performing healthcare delivery requires absolute operational excellence across core back-office functions. From optimizing multi-million-dollar supply chains to automating complex revenue cycles, healthcare delivery organizations (HDOs) must leverage modern enterprise architectures, real-time analytics, and operational automation to lower costs, ensure regulatory compliance, and sustain clinical operations.
Designed for health system executives, finance directors, and IT strategists, this course explores how to transform internal value chains using modern enterprise resource planning (ERP) platforms, predictive analytics, and automated workflow methods. Participants will learn to break down operational silos, align back-office efficiency with clinical quality objectives, and harness integrated data environments to drive sustainable financial and operational performance.
Key Executive Focus Areas
Next-Generation Revenue Cycle Management (RCM): Deploy AI (Agentic AI), robotic process automation (RPA), and predictive analytics to streamline claim management, reduce prior-authorization delays, and minimize revenue leakage.
Resilient Healthcare Supply Chain Optimization: Leverage modern, data-driven supply chain management (SCM) platforms to predict inventory demands, manage critical medical assets, and insulate HDOs from supply disruptions.
Enterprise Resource Planning (ERP) & Data Integration: Evaluate modern enterprise architectures that seamlessly unify back-office administrative, HR, and financial functions with clinical front-office modules.
Lean Operations & Process Automation: Apply Lean methodologies, workflow automation, and process mining techniques to eliminate administrative waste, improve resource utilization, and accelerate operational throughput.
Quality Improvement & Regulatory Reporting: Harness internal data ecosystems and automated analytics to fulfill mandatory clinical quality reporting, value-based care metrics, and compliance audits efficiently.
Data-Driven Operational Decision-Making: Transform raw operational, financial, and administrative data into real-time executive dashboards to guide resource allocation and operational strategy.
4. Life Sciences & Clinical R&D: Innovation, AI, & Precision Health Strategy
The intersection of advanced computer science, medical research, and digital health technology is fundamentally changing how new clinical therapies, medical devices, and health services are developed and commercialized. Modern R&D requires navigating complex ecosystem partnerships, integrating real-time health data, and leveraging artificial intelligence to accelerate discovery while managing evolving regulatory, licensing, and reimbursement landscapes.
Designed for life sciences executives, clinical research leaders, and digital innovation strategists, this course examines how to lead end-to-end R&D digital transformation. Participants will evaluate cutting-edge frameworks for leveraging Real-World Data (RWD) and Real-World Evidence (RWE), AI-driven drug discovery, decentralized clinical trial models, and intelligent IoMT (Internet of Medical Things) devices—translating scientific breakthroughs into scalable, patient-centered commercial solutions.
Strategic Learning Objectives
AI-Accelerated Discovery & Development: Evaluate how machine learning, generative models, and predictive analytics speed up target identification, drug candidate design, and biomarker discovery, especially Agentic AI for autonomous research-pipeline orchestration (e.g., agent-driven literature review, trial-site coordination).
Real-World Evidence (RWD/RWE) & Analytics: Harness multi-modal health data—including EHRs, genomics, biometrics, and claims data—to optimize trial designs, validate clinical effectiveness, and support regulatory filings.
Modernizing Clinical Trials: Architect decentralized and hybrid clinical trial models that utilize remote monitoring, wearable biosensors, and patient-facing digital tools to broaden recruitment and improve retention.
Medical Device & Digital Therapeutics (DTx) Convergence: Navigate the development, FDA clearance/approval pathways, and integration of software as a medical device (SaMD) and connected IoMT platforms.
Cross-Ecosystem Collaboration & Open Innovation: Build secure data-sharing frameworks, federated learning models, and strategic partnerships across academic medical centers, health systems, payors, and biopharma.
Reimbursement, Regulatory, & Policy Navigation: Strategically address legal, geographic licensing, cybersecurity, and global reimbursement constraints to commercialize novel digital and clinical innovations successfully.
5. Patient-Centric Medicine
Advances in cloud computing, wearable biometrics, and artificial intelligence are transforming healthcare from a reactive, transactional model into a proactive, personalized, and continuous care experience. Health systems, payors, and pharmaceutical leaders are aligning around value-based care models that use continuous health data to improve clinical outcomes, lower cost of care, and enhance patient engagement.
Designed for healthcare executives, clinical leaders, and digital strategy directors, this course explores the architectural, operational, and financial frameworks required to deliver true patient-centric care. Participants will evaluate how to integrate remote patient monitoring (RPM), ambient biometrics, and predictive analytics into seamless clinical workflows—empowering patients, optimizing therapeutic adherence, and creating sustainable value across the healthcare ecosystem.
Key Executive Focus Areas
Precision Health & AI-Driven Personalization: Leverage multi-modal data ecosystems—including genomic, biometric, behavioral, and clinical data—to tailor individual care plans and diagnostic strategies.
Continuous Care & Remote Patient Monitoring (RPM): Architect scalable, HIPAA-compliant RPM and telehealth networks that integrate wearable IoMT devices, smart sensors, and centralized clinical dashboards for proactive intervention.
Value-Based Care Alignment: Align patient-centric digital health initiatives with value-based care contracts, payor incentives, and employer wellness programs to drive shared financial and clinical value.
Digital Therapeutics (DTx) & Adherence: Deploy intelligent engagement platforms and digital therapeutics to optimize medication adherence, chronic disease management, and long-term health behavior modification.
Patient-Centricity in Clinical Research: Integrate patient-generated health data (PGHD) and decentralization technologies into clinical trial designs to improve patient retention, diversity, and real-world evidence collection.
Enterprise Architecture for Connected Health: Design secure, interoperable technology architectures that bridge consumer-facing health applications with core EHRs, clinical decision systems, and data lakes.
As healthcare organizations accelerate digital transformation, strategic investment in technology is no longer optional—it is a core business imperative for improving care quality, elevating patient outcomes, and controlling overall costs. Operating within a highly regulated, resource-constrained, and margin-focused environment requires senior leaders to efficiently govern Health IT assets and build seamless alignment between clinical, administrative, and technology executives.
Designed specifically for senior healthcare executives, this course provides the strategic frameworks, governance models, and decision-making tools necessary to lead high-impact technology initiatives. Participants will evaluate how to structure decision rights, optimize IT investments, manage technical risk, and capitalize on disruptive healthcare innovations to drive sustainable enterprise value.
Program Overview
Format: Live / Synchronous (In-Person or Online)
Duration: 20 Contact Hours (Flexible delivery, typically ten 2-hour sessions)
Target Audience: C-Suite Executives (CEO, CIO, CMO, CNO, CFO, CMIO), VPs, Medical Directors, and Senior Healthcare Leaders
Key Executive Focus Areas
Strategic Business & Clinical Alignment: Formulate cohesive digital strategies that align Health IT investments directly with organizational performance, financial sustainability, and clinical excellence.
Governance, Structure, & Decision Rights: Establish robust governance frameworks, organizational structures, roles, and sourcing models to optimize IT resource allocation and accountabilities.
Emerging Digital Technologies & Clinical Workflows: Evaluate the operational and strategic impact of Generative AI/LLMs, ambient clinical intelligence, Agentic AI and Zero Trust, FHIR/HL7 interoperability, multi-cloud architectures, and ransomware resilience.
Regulatory Navigation & AI Risk Management: Lead compliance and risk initiatives surrounding key regulatory drivers, including TEFCA, the 21st Century Cures Act, HIPAA modernizations, and AI frameworks (NIST AI RMF, FDA guidance).
Measuring & Maximizing Health IT Value: Implement executive frameworks to evaluate Total Cost of Ownership (TCO), measure return on investment (ROI), and track business value across enterprise systems.
Cross-Executive Leadership & Culture: Build collaborative, cross-functional partnerships across technical and non-technical executive teams to successfully steer digital change.
Scalable/flexible programs, available globally, including for senior non-IT executives
Courses from other programs can be integrated with an industry focus.
