Artificial Intelligence in Healthcare Management

This session provides a comprehensive foundation for understanding AI’s transformative impact on healthcare delivery, education, and administration. Participants will explore how AI enhances clinical decision-making, diagnostics, imaging, patient flow, and predictive analytics, as well as how it supports institutional research and operations.

Topics:

• Overview of machine learning, natural language processing, and GenAI in healthcare contexts
• Case studies from hospitals, medical schools, and public health systems
• Identifying high-impact areas for AI integration in academic medicine
• Leadership roles in aligning AI strategy with institutional priorities

Balaji Padmanabhan, PhD
Dr. Padmanabhan serves as Associate Dean of Strategic Initiatives and Dean’s Professor of Decisions, Operations & Information Technologies. With over 25 years in data science, AI/machine learning, and business analytics, he deeply understands how complex systems and modelling can bring measurable impact to healthcare organisations.

A practical exploration of the technology ecosystem supporting AI in healthcare. Participants will gain hands-on experience in using key AI platforms as well as understand the AI vendor ecosystem in healthcare.

Topics:

• Overview of general-purpose AI tools (ChatGPT, Gemini, Claude) and specialized tools (ChatGPT for Health, OpenEvidence, etc.)
• Hands-on demonstration of using general-purpose AI tools 
• Demo capabilities of more recent specialized AI tools such as ChatGPT for Health and OpenEvidence
• Evaluating vendors and open-source tools

Kunpeng Zhang (“KZ”), PhD
KZ is an Associate Professor in information & decision science, whose research applies scalable machine learning, natural language processing and social network analytics to business and healthcare “big-data” problems. Having taught and built analytics systems in healthcare settings, he brings strong technical and operational insight into the deployment of AI projects.

Balaji Padmanabhan, PhD
Dr. Padmanabhan serves as Associate Dean of Strategic Initiatives and Dean’s Professor of Decisions, Operations & Information Technologies. With over 25 years in data science, AI/machine learning, and business analytics, he deeply understands how complex systems and modelling can bring measurable impact to healthcare organisations.

AI adoption in healthcare introduces new ethical and governance challenges. This session explores data privacy, algorithmic bias, transparency, and patient safety, while highlighting global and regional regulatory frameworks that shape responsible AI deployment.

Topics:

• Ethical frameworks and accountability in AI
• HIPAA, FDA, and emerging EU AI Act implications
• Managing bias and ensuring fairness in healthcare algorithms
• Building institutional trust through transparency and explainability

Margrét Bjarnadóttir, PhD
Dr. Bjarnadóttir is an Associate Professor of Management Science & Statistics. Her research centers on large-scale healthcare datasets, optimisation modelling, and decision support in clinical settings.

This session focuses on establishing institutional frameworks for AI governance that uphold ethics, compliance, and long-term oversight. Participants learn how to define decision rights, data stewardship, and performance monitoring structures.

Topics:

• Building a governance model aligned with institutional mission and values
• Defining accountability and reporting structures
• Integrating AI oversight into existing compliance and ethics processes
• Developing transparent communication policies for AI adoption

Hala Jassim AlMossawi, BDS, MSc, MSHCA
Hala is a global health executive with over 24 years’ experience leading programme strategy, systems strengthening, and implementation in health-care contexts worldwide. Her leadership in health-systems governance, policy, and large-scale implementation makes her well-suited to guide institutional frameworks for AI oversight.

This session examines frontier trends in healthcare management, regulatory frameworks, and the commercialization of healthcare products and their implications for medical education and patient engagement.

Topics:

• Business of Life Sciences
• Regulatory frameworks and approval processes
• Commercialization of biologics, medical devices, and pharmaceuticals 
• Future policy and societal considerations for AI in medicine

Wendy Sanhai, PhD
Dr. Sanhai is a Visiting Professor of Practice at the Smith School and a recognised leader in healthcare and global health, having held senior roles across academia, federal agencies, industry, and consulting. With deep experience in life sciences strategy, regulatory affairs, and public-private partnerships, she is particularly well placed to navigate the frontier of healthcare innovation.