Online AI Driven Healthcare Management

About AI Driven Healthcare Management Course

The Executive Diploma in AI Driven Healthcare Management is designed to empower healthcare professionals, administrators, and technologists with the knowledge and skills to harness artificial intelligence in transforming healthcare delivery. This program integrates healthcare management principles with AI technologies, covering areas such as predictive analytics, electronic health records, diagnostic automation, and patient data management.

Participants will gain expertise in data-driven clinical decision-making, population health analysis, and AI-powered operational efficiency. The curriculum emphasizes practical learning through real-world healthcare scenarios, enabling learners to apply AI tools for improving patient outcomes and streamlining medical workflows.

By the end of the program, students will be proficient in applying AI to solve healthcare challenges, optimize resources, and drive innovation across hospitals, clinics, insurance, and public health sectors, preparing them for strategic roles in the evolving healthcare ecosystem.

Course Description

The "AI Driven Healthcare Management" Executive Diploma program offers a comprehensive understanding of how AI is reshaping the healthcare industry. It covers essential topics such as AI in diagnostics, healthcare analytics, machine learning in medical research, and ethical considerations in digital health. With a strong focus on real-time applications and case studies, the program equips professionals with the tools to lead AI-driven transformation in healthcare systems and organizations.

Learning Outcomes

Graduates of this program will have the knowledge and skills to:

Develop expertise in applying AI and machine learning to healthcare management and clinical decision support.
Leverage predictive analytics to enhance patient care, optimize resource allocation, and reduce operational inefficiencies.
Analyze and interpret healthcare data using advanced data visualization tools and statistical methods.
Utilize AI tools to improve diagnostics, treatment planning, and personalized medicine approaches.
Understand ethical, legal, and data governance frameworks specific to healthcare and AI implementation.
Manage electronic health records (EHRs), telemedicine platforms, and real-time monitoring systems using intelligent automation.
Design AI-driven strategies to improve patient engagement, healthcare marketing, and service delivery outcomes.
Apply business intelligence tools such as Power BI, Tableau, and Python in the context of healthcare analytics.
Contribute to digital transformation initiatives in hospitals, insurance firms, and public health organizations.
Gain practical experience through industry-focused healthcare projects, simulations, and case studies.

Curriculum

The Post Graduate Program in Management (PGPM) with a specialization in Business Analytics follows a structured curriculum that integrates core management principles with specialized analytics coursework. The program is designed to equip students with the necessary expertise to navigate the complexities of data-driven decision-making, predictive modeling, machine learning applications, and business intelligence. Students must maintain a cumulative grade-point average of 3.00 or higher to meet graduation requirements. The curriculum follows a credit-based system, ensuring a balance between theoretical learning and hands-on practical experience in analytics-driven business environments. All course prerequisites must be completed before enrolling in advanced subjects, as per the program’s academic guidelines. Certain foundational courses may be waived for students with prior academic experience in business analytics. Advanced coursework can be pursued once prerequisites are met, ensuring a structured and progressive learning journey tailored to industry needs.

Term 1

Foundations of Healthcare Management with Al
Healthcare Financial Management & Al-Driven Cost Optimization
Healthcare Operations & Supply Chain Management with Al

Term 2

Patient Engagement with Al & Healthcare Marketing
Healthcare Laws, Ethics, and Compliance
Human Resource & Leadership in Healthcare

Term 3

Digital Transformation & Al in Healthcare
Capstone Research Project

Eligibility

Academic Criteria

Bachelor’s degree in Business, IT, Statistics, Engineering, or a related field.
Minimum of 50% aggregate marks (Relaxation for reserved categories as per guidelines).
Valid scores in entrance exams such as CAT, XAT, GMAT, or institute-specific tests.

Who Can Apply

Professionals seeking to enhance analytics and management skills.
Graduates interested in data-driven decision-making.
IT, Finance, and Business professionals transitioning into analytics roles.
Entrepreneurs and Consultants in Business Analytics.

Admission Process

Online Application Submission.
Entrance Exam Scores Evaluation.
Personal Interview & Business Case Discussion.
Final Admission Offer based on overall assessment.

Course Fees & Program Info

Executive Diploma – AI Driven Healthcare Management

Course Fee

₹1,50,000

Payable in installments

Registration Fee

₹944

Non-refundable

Duration

11 Months (3 Terms)

Fully online, flexible format

Key Focus Areas

AI Applications in Healthcare, Predictive Analytics, Clinical Decision Support, Health Data Management

Designed for healthcare leaders and professionals aiming to transform care delivery using AI technologies

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Selection Process

Step 1

Complete your Application

Complete your application and submit the required details. The Admissions Committee will then review your application which includes your work experience & educational background.

Step 2

Get Shortlisted & Receive your Offer Letter

Upon qualifying, an Offer Letter will be sent to you confirming your admission to the Executive Post-Graduate Diploma in Bussinnes Analysis Management.