AI in Healthcare

Healthcare organizations globally are under pressure to reduce costs, enhance quality of care, and ensure patient-centric services. With the rapid adoption of information technology, large volumes of clinical and non-clinical data are generated daily. Digital transformation and evolving market dynamics demand agile, informed responses from healthcare managers and providers. Integrating Artificial Intelligence (AI) into healthcare workflows can serve as a gatekeeper or for second-opinion roles. Leveraging AI for evidence-based decision-making is crucial for competitive advantage and improved patient outcomes. However, there are also scenarios where AI should not be used in specific healthcare settings. This program equips participants to clearly identify whether AI should be used or not in healthcare by cutting through complex datasets, predicting and mitigating risks, and deriving clinical and operational excellence.

Objective

The key objectives of this course are as follows:
• To make participants understand the role of Artificial Intelligence (AI) in promoting improved healthcare outcomes.
• To acquaint participants with different AI models available in the healthcare sector and skills to harness the same.
• To develop skills for integrating clinical and business data and feeding them into AI models.
• To familiarize participants with appropriate AI tools to handle, process, and draw insights from data.
• To build capabilities for effective AI and data-driven decision-making towards better healthcare outcomes

Contents

1. Understanding the AI Healthcare Ecosystem & Digital Transformation
• Types and sources of healthcare data (clinical, operational, patient-generated)
• IoT, and wearable devices in modern healthcare data collection
• Role of AI in healthcare ecosystem


2. Generative AI in Healthcare
• GenAI Techniques for identifying trends, anomalies, and patterns
• Practical exercises with OpenAI in healthcare with real-world healthcare data


3. Data Visualization & Storytelling for Health Leaders
• Creating interactive dashboards (Tableau, Power BI)
• Visual storytelling for clinical, operational, and policy decision-making


4. AI in Healthcare for Predictive Analytics
• Disease risk prediction and patient outcome forecasting
• Predicting hospital resource needs and patient volumes


5. Optimizing Healthcare Operations
• Location models in healthcare operations
• Optimized patient flow for enhanced healthcare delivery


6. Healthcare Forecasting & Simulation
• Demand and capacity planning for healthcare facilities
• Scenario modeling for pandemics, seasonal surges, and emergencies


7. Decision Analysis & Decision Intelligence in Healthcare Management
• Cost-benefit analysis, operational optimization, and outcomes evaluation
• Integrating clinical and business decision-making frameworks


8. Autonomous AI in Healthcare for Executive Impact
• Translating and validating autonomous AI models into actionable insights for stakeholders
• Persuasive and evidence-based communication strategies


9. Data Privacy, Security, and Ethics in the Age of AI
• HIPAA, GDPR, and Indian health data regulations
• Ethical considerations in AI-driven healthcare analytics


10. Emerging Trends: Genomics, Precision Medicine & Real-World Evidence
• Leveraging big data for personalized care and targeted therapies
• Integrating clinical trial data with real-world patient information

Contents

Participants will Senior / Middle-level Managers of Hospitals and healthcare organizations, Pharmaceutical industry, Health insurance sector, Healthcare IT companies, Biotechnology firms, Government health departments, Public health organizations and NGOs, Healthcare think-tanks & AI Entrepreneurs in the healthcare sector.

Venue & Duration

The programme is scheduled during February 05–07, 2027 on a residential basis at MDI Campus, Mehrauli Road, Sukhrali, Gurugram. Accommodation for participants would be available at MDI Campus from the noon of February 04, 2027, to the forenoon of February 08, 2027.

Registration & Fees

Participants should be nominated by their organizations. The enclosed nomination form should be completed and returned with all the details. The fee of the program which includes a professional fee and all charges for boarding, lodging and supply of course materials during the programme. GST as applicable will be charged extra in addition to the programme fee. Payment should be made by Cheque/NEFT/RTGS.

S.NoParticularPer participants Program Fees (exclusive of GST)
1Single RoomRs. 45000/-
2Double Sharing RoomRs. 42000/-
3Non ResidentialRs. 40500/-

Discount Policy
With a view to our long-term relationship with your esteemed organization, we are pleased to introduce the discount policy in this programme. The discount will be observed in the following conditions: (discount is applicable in NEPAL also)
• 10% Discount against 3-5 nominations
• 20% Discount against more than 5 nominations

 

Important Dates

The last date for receipt of nominations is January 20, 2027. The last date for withdrawal of nominations is January 21, 2027. Any withdrawal received after this date will be subject to deduction as per the Institute's rules. However, substitution may be permitted.
Nominating organizations are advised to await confirmation of acceptance of nominations(s) before sending the participants to the programme venue.

For enquiry, please contact at [email protected] or +91-124-4560008.