Programme Overview
Healthcare leaders face increasing demands to improve clinical outcomes, enhance clinician productivity, and optimise complex operations. While Artificial Intelligence, Generative AI, and Agentic models promise fundamental transformation, moving beyond isolated pilots to enterprise-scale integration remains a challenge. This programme equips leaders to build an AI-first healthcare enterprise. Learn to identify high-value opportunities, redesign healthcare workflows, establish robust governance frameworks, and deploy solutions that deliver measurable clinical and operational value.
Programme Framework & Curriculum
TECHNOLOGY The ai landscape
Focus: What are these technologies, and how do they work?
Content: Foundational understanding of core technologies driving the next generation of healthcare innovation.
Modules
- Artificial Intelligence (AI) & Machine Learning (ML) Fundamentals
- Generative AI, Large Language Models (LLMs) & Foundation Models
- Agentic AI & Multi-Agent Systems in Healthcare
- Enterprise Healthcare AI Platforms & Technical Architecture
CAPABILITIES The Enablement Framework
Focus: What new capabilities can AI create across healthcare?
Content: Deep-dive into how AI augments clinical expertise, operational performance, and organisational execution.
Modules
- Enhancing Clinical Decision-Making & Care Coordination
- Improving Operational Efficiency & Accelerating Clinical Workflows
- Automating Administrative Processes & Operational Documentation
- Transforming Patient Engagement & Accelerating Research and Innovation
APPLICATIONS The Use Cases
Focus: How can AI create value across the healthcare ecosystem?
Content: Deep-dive into domain-specific applications across major verticals of healthcare, life sciences, and health technology.
Modules
- AI in Hospitals & Healthcare Delivery Systems
- AI in Life Sciences, Pharmaceuticals & Clinical Trials
- AI in Health Insurance, Payers & Claims Management
- AI in Public Health, Population Health & HealthTech
TRANSFORMATION sCALING & ENTERPRISE implementation
Focus: How can AI be successfully scaled across the enterprise?
Content: Strategic roadmap for moving beyond pilot projects to enterprise-wide integration, clinical governance, and value realisation.
Modules
- Healthcare AI Governance, Ethics & Patient Safety
- Clinical Risk Management & Health Regulatory Compliance
- Organisational Adoption, Change Management & Implementation Strategy
- Value Realisation, Scaling Methodologies & Clinical ROI Measurement
Programme Curriculum — Day-wise
Day 1 - Full Day
Foundations of AI-First Healthcare Transformation
Focus: Redesigning healthcare operating models, clinical workflows, and decision systems using systems-level AI principles.
Healthcare organisations today must move beyond digitisation and isolated technology initiatives towards becoming intelligent, AI-enabled enterprises. Day 1 establishes the strategic foundation for healthcare transformation by introducing participants to AI-first thinking, healthcare ecosystems, workflow redesign, and systems thinking. Participants explore how healthcare enterprises evolve from traditional care delivery models to intelligent, AI-enabled organisations and learn how Ecosystem Thinking, Workflow Thinking, and Systems Thinking can be used to redesign clinical and operational processes. Through guided workshops, teams map existing healthcare workflows and uncover high-impact areas where AI can create measurable clinical and operational value.
| Module 1 | The Future of Healthcare, AI & the AI-First Healthcare Enterprise Examine the evolving healthcare landscape shaped by Artificial Intelligence, Generative AI, and intelligent systems. Explore the institutional transition from traditional care delivery models to AI-first architectures, identifying strategic opportunities to augment patient care, clinical decision-making, operational efficiency, and enterprise performance |
| Module 2 | Healthcare Workflow Design & Systems Thinking Apply Ecosystem Thinking, Workflow Thinking, and Systems Thinking to redesign patient journeys, clinical workflows, and operational processes using AI-first principles. Teams engage in practical mapping exercises to develop AI-enabled workflow blueprints that enhance care delivery, operational productivity, and patient experience. |
| Hands-on Workshop | Map an existing healthcare workflow and redesign it using AI-first architectural principles. |
Day 2 - Full Day
Building the AI-First Healthcare Operating System
Focus: Deploying Generative AI, RAG architectures, and agentic workflows across clinical and operational processes.
Day 2 focuses on translating healthcare transformation strategy into practical AI-enabled operating models. Participants explore how Generative AI, Foundation Models, Retrieval-Augmented Generation (RAG), and Agentic AI work together to create intelligent healthcare systems. The day emphasises AI Thinking as a foundational framework for integrating emerging technologies into clinical workflows and organisational decision-making. Participants gain hands-on exposure to specialised healthcare AI architectures, trusted knowledge systems, and multi-agent workflow orchestration.
| Module 3 | AI Thinking, Healthcare AI Architecture & Knowledge Systems Explore core architectural foundations, including Large Language Models (LLMs), Foundation Models, embeddings, vector databases, and healthcare-specific AI architectures. Evaluate production applications of Generative AI across clinical documentation, patient communication, medical knowledge retrieval, and healthcare decision support. |
| Module 4 | From Healthcare AI Transformation to Agentic Healthcare Workflows Examine the implementation of Retrieval-Augmented Generation (RAG) and autonomous Agentic AI to power explainable, trusted clinical and operational systems. In a structured design lab, participants orchestrate multi-agent workflows using Ecosystem Thinking, Workflow Thinking, Systems Thinking, and AI Thinking to build scalable healthcare operating models. |
Day 3 - Half Day
Designing the AI-First Healthcare Enterprise
Focus: Establishing clinical governance, patient safety controls, adoption frameworks, and execution roadmaps.
The final day focuses on turning concepts and prototypes into an actionable, enterprise-wide transformation strategy. Participants learn how to govern, operationalise, and scale AI initiatives across complex healthcare environments. The curriculum addresses responsible AI, clinical governance, risk management, regulatory compliance, change management, and value realisation metrics to ensure enduring institutional and clinical impact.
| Module 5 | AI Governance, Adoption & Value Realisation Establish rigorous governance and operating frameworks for responsible AI adoption, clinical risk management, and health regulatory compliance. Learn structured methodologies to evaluate healthcare AI capital investments, lead organisational change management, and measure quantifiable value realisation aligned with strategic healthcare objectives. |
| Capstone | Healthcare AI Transformation Blueprint Lab Consolidate all programme learnings into a boardroom-ready enterprise blueprint. The deliverable integrates AI opportunity identification, workflow redesign priorities, healthcare knowledge architectures, generative and agentic use cases, clinical governance frameworks, implementation roadmaps, and ROI models. |
Faculty
Sessions are led by faculty and practitioners with experience in clinical AI, healthcare operations and data governance.
Dr. Shailesh Kumar
Seasoned AI/ML leader with impactful patents and global publications across healthcare, computer vision and conversational computing.
Dr. Sunil Kumar Vuppala
Accomplished AI researcher & practitioner bridging enterprise AI architectures & healthcare systems, translating generative & agentic technologies into scalable clinical solutions.
Dr. Avneesh Khare
Clinician turned educator and advisor on AI and emerging technologies in medicine.
Experience
Sessions run on the Jio Institute campus in Ulwe, Navi Mumbai. Participants are housed in comfortable residential facilities with access to the gymnasium, recreational centre, library and athletic track.
- Meals and materials included
- Certificate on successful completion
- Access to campus amenities during programme days
Fees
The programme fee covers tuition, materials, and on-campus meals. Accommodation details are provided upon admission
- Programme Fee: ₹40,000 plus applicable taxes