Executive Programme in AI-Driven Healthcare Transformation
Transform Clinical Care, Healthcare Operations, and Patient Experiences with Generative AI and Agentic AI
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How Is AI Creating Measurable Impact in Healthcare?
Healthcare organisations are under pressure to improve care quality, reduce administrative workload, make better use of clinical and operational data, and deliver better patient experiences. As AI, Generative AI, and Agentic AI move from experimentation to adoption, professionals need to understand where these technologies can create value and how to apply them responsibly across clinical, operational, and patient-care environments.
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What Is the Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak?
The Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak is a 5-month live online programme (priced at INR 1,54,900 + GST), designed to help healthcare professionals understand, evaluate, and apply AI, Generative AI, and Agentic AI across clinical, operational, and patient-care environments.
This AI-driven healthcare transformation course is designed for professionals who want to connect healthcare expertise with practical AI applications without needing to become AI engineers. With an AI-first healthcare curriculum and applied learning approach, the programme helps participants evaluate AI opportunities and translate them into practical solutions across clinical, operational, digital health and patient-care settings.
How Is the Executive Programme in AI-Driven Healthcare Transformation Different?
100% Live Online Learning with Domain Experts
Learn through live online sessions with domain experts and select IITMP faculty sessions
AI- First Healthcare Curriculum
Learn AI through clinical, operational, patient-care, and research contexts.
Select live Masterclasses by Top IITM Pravartak Faculty
Learn directly from faculty at IITM Pravartak
Built for Healthcare Professionals
Develop AI understanding without needing to become an AI engineer.
Generative AI in Healthcare
Simplify clinical information, communication, and diagnostic reporting.
Agentic AI in Healthcare Workflows
Improve care coordination and operational responsiveness with AI agents.
Hands-On Exposure to Relevant AI Tools
Gain practical exposure to tools for healthcare AI application.
Certificate from IITM Pravartak
Earn a digital certificate upon successful programme completion.
2-Day Campus Immersion
Two-day campus immersion event at IIT Madras Research Park (Optional)
Note:
The entire programme curriculum will be taught by Domain Experts and will also include a few live exclusive masterclasses by IITM Pravartak faculty.
All programme highlights stated in this section and across the programme are subject to change at the discretion of IITM Pravartak and Emeritus.
Only participants who have successfully completed the programme will be allowed to visit the IITM Research Park.
Overall, 50% attendance required for live sessions to achieve programme completion. Live sessions include both domain expert sessions and faculty led masterclasses.
Domain expert is the programme leader responsible for conducting weekly live sessions.
The immersion will only be conducted with a minimum number of learners signing up.
Schedule for faculty masterclass will be shared post programme orientation.
Who Should Enrol in the Executive Programme in AI-Driven Healthcare Transformation?
The Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak is designed for healthcare professionals, administrators, digital health professionals, researchers, and transformation leaders who want to connect healthcare expertise with AI, GenAI, and Agentic AI applications across care delivery, healthcare operations, patient experience, clinical research, and digital health.
Medical and Allied Healthcare Professionals: For medical, dental, nursing, pharmacy, physiotherapy, and allied healthcare professionals looking to understand how AI can support diagnosis, treatment planning, documentation, communication, and care delivery.
Hospital Operations and Healthcare Administrators: For professionals managing hospital workflows, patient services, quality, resources, or process improvement who want to explore AI for efficiency, coordination, and patient experience.
Healthcare IT Analyst, Digital Health, and Product Professionals : For professionals working on digital health platforms, healthcare technology, product management, analytics, or IT-enabled transformation who want practical healthcare AI fluency
Clinical Research, Medical Affairs, and Life Sciences Professionals: For professionals in clinical research, pharma, diagnostics, medical affairs, and life sciences who want to explore AI across biomedical data, drug discovery, research workflows, and evidence generation.
Clinical Leadership and Transformation Professionals: For Clinical leaders, medical directors, quality, patient safety, strategy, and transformation professionals looking to evaluate AI opportunities and support responsible adoption
Eligibility criteria for this programme:
Graduates (10+2+3) from a recognized university (Medical Graduates Preferred) as on the programme start date i.e., Course start date
Executive Programme in AI-Driven Healthcare Transformation curriculum
Pillar 1: Foundations of Emerging Digital Trends in Healthcare
Module 1: The Digital Revolution in Healthcare
How healthcare is digitising
New tech in diagnosis and treatment
How AI and robotics are used in care
Module 2: How AI Works in Healthcare
Key AI terms explained
How to frame a problem for AI
What data an AI model needs
Basics of evaluating an AI model
Common deployment challenges
Designing an AI-first healthcare idea
Pillar 2: AI and Tech-Driven Diagnostics, Patient Care and Clinical Workflows
Module 3: Biomedical Informatics and Healthcare Data
What biomedical data is
Types of healthcare data
How health systems share and use data
Simple queries for healthcare data
Module 4: AI Models and Healthcare Applications
How AI learns from healthcare data
Supervised and unsupervised learning in healthcare
Pattern recognition in clinical and imaging data
Common healthcare AI applications
Understanding model outputs and predictions
Limitations of AI models in healthcare
Module 5: Use of Hybrid Clouds in Healthcare
Why hospitals use cloud systems
How AI improves admin tasks
Cloud strategies with AWS, Azure and Google
Module 6: AI in Clinical Decision Making
Predicting disease risk
AI-based patient scoring
AI-assisted diagnosis and monitoring
Module 7: AI for Healthcare Operations and Patient Flow
AI for patient flow and bed management
AI for scheduling and operations
Case example: AI in emergency call centres
Module 8: Role of AI in Drug Discovery
Why drug discovery is hard
How AI speeds discovery
AI across the drug development cycle
Pillar 3: Generative AI in Healthcare
Module 9: Generative AI for Clinical Documentation and Summaries
Drafting clinical notes
Summarising patient records
Creating discharge summaries
Module 10: Generative AI for Patient Communication and Education
Generating instructions
Translating medical terms
Simplifying patient explanations
Module 11: Generative AI in Diagnostics and Reporting
Drafting structured reports
Pattern-based prompting
Assisting specialist reviews
Module 12: Safe and Responsible Use of Generative AI
Avoiding hallucinations
Validating AI outputs
Safe-use guidelines
Pillar 4: Agentic AI in Healthcare Workflows
Module 13: Introduction to AI Agents in Healthcare
What AI agents are
Where agents fit in hospital workflows
Module 14: Workflow Automation with AI Agents
Automating routine tasks
Follow-ups and reminders
Care coordination tasks
Module 15: Agents for Operations and Resource Management
Scheduling agents
Resource allocation agents
Patient routing agents
Pillar 5: AI Implementation, Collaboration and Governance
Module 16: Implementing AI in Clinical Practice
How clinical AI is deployed
Regulation and ethics
What makes AI adoption successful
AI in monitoring and wearable tech
LLMs for clinical workflows
AI in treatment planning
Module 17: Human–AI Collaboration in Healthcare
Where AI supports clinicians
Combining human and AI judgment
Building trust in AI tools
The human-in-the-loop model
Reducing errors through collaboration
Real hospital examples
Module 18: The Potential for Bias and Harm in AI
Common sources of bias
How to reduce bias
Safe deployment practices
Module 19: Building AI-Ready Healthcare Systems
Steps to adopt AI in hospitals
How to measure AI ROI
Global examples of AI systems
Pillar 6: Capstone Project and Applied AI in Healthcare
Designing AI-Driven Healthcare Solutions
Choose a real healthcare problem
Design and test an AI intervention
Present solution and receive feedback
Note:
All programme curriculum - topics, modules, submodules, tools — stated here is subject to change as per the discretion of IITM Pravartak or Emeritus.
The entire programme curriculum will be taught by Domain Experts and will also include a few live exclusive masterclasses by IITM Pravartak faculty.
What Tools and Projects Are Covered in the Executive Programme in AI-Driven Healthcare Transformation?
Note:
This page highlights only a selection of tools from a more extensive list available.
All product and organisation names are trademarks or registered trademarks of their respective holders, and their use does not imply any affiliation with or endorsement by them.
All programme curriculum - topics, modules, submodules, tools — stated here is subject to change as per the discretion of IITM Pravartak or Emeritus
Tool subscriptions are not provided by Emeritus.
How Is AI Transforming the Healthcare Value Chain?
Healthcare Value Chain Area | AI Use Cases and Impact Areas |
Diagnosis and Clinical Decision-Making | Diagnostic decision support, risk assessment, patient scoring, treatment planning, and clinical decision intelligence. |
Patient Monitoring and Risk Detection | Continuous patient-data tracking, early warning signals, deterioration-risk flagging, and timely intervention planning. |
Clinical Documentation and Communication | Clinical notes, patient summaries, discharge summaries, structured reporting, patient communication, and knowledge management. |
Hospital Operations and Patient Flow | Scheduling optimisation, resource planning, bed management, patient movement, emergency response planning, and operational decision support. |
Drug Discovery and Clinical Research | Biomedical pattern identification, research insight generation, drug discovery support, clinical research workflows, and evidence generation. |
Care Coordination and Follow-Ups | Follow-up reminders, care coordination tasks, patient routing, routine process automation, and operational responsiveness. |
Human-AI Collaboration and Safe Adoption | Clinical judgement, human oversight, ethics, bias awareness, trust-building, safe deployment practices, and AI-ready healthcare systems. |
What You Will Gain Through the Executive Programme in AI-Driven Healthcare Transformation
Build IMPACT Across Healthcare
Identify Opportunities
Assess how AI, Generative AI, and Agentic AI are reshaping diagnosis, treatment, patient care, and healthcare operations, and identify where these technologies can create meaningful value.
Make Sense of Data
Interpret healthcare data and AI-driven insights to support more confident clinical, operational, and patient-care decisions.
Prioritise Practical Use Cases
Evaluate AI applications across diagnostics, patient monitoring, drug discovery, and care workflow optimisation with a clear view of impact, feasibility, and responsible use.
Augment Clinical Knowledge
Apply Generative AI tools to improve clinical documentation, patient summaries, communication, reporting, and knowledge management.
Create AI-Enabled Care Workflows
Design AI-enabled healthcare workflows that improve efficiency, strengthen care coordination, and enhance patient experience while maintaining safety and trust.
Transform Strategy into Action
Develop practical strategies for implementing and scaling AI solutions within healthcare organisations while aligning with patient safety, clinical priorities, and organisational readiness.
IITM Pravartak Guest Faculty for the Executive Programme in AI-Driven Healthcare Transformation
Prof. Laxminarayan G
Guest Faculty, IITM Pravartak
Professor Laxminarayanan G. is a Strategic AI and Generative AI leader with over two decades of experience driving large-scale digital transformation and automation-led value ...
Certificate Awarded for the Executive Programme in AI-Driven Healthcare Transformation
Participants who successfully complete the Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak will receive a certificate of completion from IITM Pravartak.
The certificate recognises the participant’s completion of a healthcare-focused AI programme designed to build practical understanding of AI, Generative AI, and Agentic AI across clinical, operational, digital, research, and patient-care contexts.
Note:
All certificate images are for illustrative purposes only and may be subject to change at the discretion of IITM Pravartak
To receive the completion certificate, participants must score a minimum of 70% overall on mandatory assignments and successfully complete the capstone project.
Overall, 50% attendance in both domain-expert led live sessions and faculty led live masterclasses are required to achieve programme completion.
Frequently Asked Questions About the Executive Programme in AI-Driven Healthcare Transformation
What is the Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak?
The Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak is a 5-month live online programme designed to help healthcare professionals understand, evaluate, and leverage AI, Generative AI, and Agentic AI across real healthcare environments. The programme covers healthcare AI foundations, clinical applications, GenAI, Agentic AI, responsible adoption, and applied healthcare problem-solving
Who should enrol for Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak?
The IITM Pravartak healthcare AI programme is designed for healthcare professionals, hospital administrators, digital health professionals, healthcare IT professionals, product professionals, clinical research professionals, medical affairs professionals, life sciences professionals, and healthcare transformation leaders. It is suitable for professionals who want to connect healthcare expertise with AI applications across care delivery, healthcare operations, patient experience, clinical research, and digital health.
Do I need prior AI or coding knowledge to enrol in this programme?
No. Prior AI, coding, or technical background is not required for Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak. The programme is designed for healthcare professionals and leaders who want to understand, evaluate, and apply AI in healthcare settings without needing to become AI engineers.
Does IITM Pravartak Healthcare AI course cover Generative AI?
Yes. The Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak covers Generative AI in healthcare, including its use in clinical documentation, patient summaries, patient communication, education, diagnostics, reporting, and safe AI use. The programme also explores how GenAI can help simplify clinical information, strengthen healthcare communication, and support sharper clinical and diagnostic reporting.
Does the IITM Pravartak Healthcare AI course cover Agentic AI?
Yes. The Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak covers Agentic AI in healthcare, including where AI agents fit in hospital workflows, workflow automation with AI agents, follow-ups and reminders, care coordination tasks, scheduling agents, resource allocation agents, and patient routing agents.
It also helps participants understand how Agentic AI can improve care coordination, support healthcare operations, and enable more responsive healthcare processes.
What certificate will participants receive after completing the programme?
Participants who successfully complete the programme will receive a certificate of completion from IITM Pravartak. To receive the certificate, participants must meet the required evaluation criteria, attendance requirements, and successfully complete the applied healthcare AI capstone.
What skills will I gain from this AI-driven healthcare transformation course?
The Executive Programme in AI-Driven Healthcare Transformation by IITM Pravartak helps participants build skills to leverage AI across clinical, operational, digital, research, and responsible adoption contexts, including:
Healthcare AI Strategy
Clinical Decision Support
Healthcare Data Analytics
Biomedical Informatics
Digital Health Transformation
Generative AI Applications
AI-Assisted Diagnostics
Agentic AI Workflows
Responsible AI Adoption
AI Implementation and Innovation
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options available.
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