Divya Pathak
Divya Pathak
Vice Chair of AI/ML & Analytics in the Center for Digital Health at Mayo Clinic
Divya Pathak is the Vice Chair of Artificial Intelligence (AI) & Analytics in the Center for Digital Health at Mayo Clinic. She is a core member of Mayo Clinic’s AI leadership team partnering with clinical and administrative leaders across the enterprise to drive digital transformation and deliver on Mayo Clinic’s Data & AI strategy. She is a thought leader and serves as a subject matter expert on leveraging AI and analytics to solve business, clinical, and operational problems in healthcare and collaborates with industry and academia in bringing emerging technologies to accelerate AI transformation at scale. She also actively engages in public speaking at industry and academic events on the use of AI in healthcare and clinical medicine.
Ms. Pathak has 20+ years of experience in AI, software engineering, and talent development to deliver high-impact solutions for the business and has worked with multiple stakeholders including health systems, academic medical centers, payors, digital health, and pharmaceutical companies. Prior to returning to Mayo Clinic in 2022, she was the Global Lead for AI platforms and engineering in the Division of Healthcare & Life Sciences at IBM Research.
Executive
Track: Life Science and Healthcare
How to Bring AI in the Clinical Setting: Experiences at the Mayo Clinic
Healthcare organizations are collecting vast, heterogeneous, multimodal data about the patients they serve across electronic medical records (EMR), medical imaging systems, images, remote monitoring devices and wearables, insurance claims, and genetic repositories, to name a few. The advances in new artificial intelligence (AI) and machine learning (ML) is enabling the integration of these data sources to generate novel, and potentially clinically actionable, insights. However, there is a wide gap between the promise that this technology holds and its implementation in routine clinical care settings. This talk will examine some of the real-world implementation challenges and Mayo Clinic’s approach of enabling the entirety of the AI/ML lifecycle in patient care from ideation to deployment and evaluation.
