Data Science Speaker Series: Solutions for use of GenAI for medical notes summarization and associated privacy, bias and fairness risks

Speakers:Javad Hashemi, PhD Senior Data Scientist at Sun Life and Andriana Cvetkovik, Assistant Vice President Global Privacy and Data Ethics at Sun Life

Abstract: Underwriters in insurance companies play a crucial role in assessing and managing risks associated with insuring individuals. They often rely on Attending Physician Statements (APS) for additional medical information about clients to help make informed decisions. Reviewing an APS can be a tedious task, often involving the examination of hundreds of pages of medical reports. Gen AI models can provide concise summaries of client's health by analyzing the APS and answering any clarifying questions that the underwriter may have. The use case involves a test-and-learn experiment to determine if a Large Language Model (LLM) can accurately summarize an APS and answer underwriting questions. The anticipated outcome is improving the efficiency of the underwriting process while maintaining accuracy in health risk assessment, enhancing the client experience, increasing sales incrementally, and reducing operational expenses.

Bios: Javad joined Sun Life as a Senior Data Scientist in 2020, where he focuses on Natural Language Processing and Machine Learning applications. Javad holds a PhD in Electrical Engineering and serves as an Assistant Professor in the Computer Science department at Queen's University, where his research centers on the application of AI in health data. With his extensive experience in both industry and academia, Javad brings a unique perspective to the intersection of data science and real-world applications. Andriana joined Sun Life over 20 years ago and has held numerous roles in business operations and compliance. Andriana has been a leading force behind the integration of the Data Ethics and Qualitative Bias Assessment into the privacy program, partnering with internal stakeholders from risk and data science functions. Andriana has a master’s degree in mechanical engineering and is Certified Information Privacy Professional (Canada).