The Potential Impact of Artificial Intelligence on Medical Malpractice Claims from Diagnostic Errors in Radiology in New York
Authors
Maggie Lee, FIAA CERA
Macquarie University, Australia
Simon Guthrie, FIAA
Macquarie University, Australia
Steven Girvan,
Ernst & Young, Australia
Description
This report provides an exploration of the potential impact of Artificial Intelligence (AI) on medical malpractice claims, with a focus on one specialty (radiology) and one state (New York). The discussions in this report are targeted to actuaries who are interested in developing a method to quantify the potential impact of AI to their own medical malpractice portfolio or to their own work.
Report
Acknowledgments
The researchers wish to extend their gratitude to collaborators including the Project Oversight Group and SOA members for overseeing the project and for reviewing the analysis and report for accuracy and relevance. We also thank the research assistance of Macquarie University’s PhD student, Kyu Hyung Park who helped us in data investigation and literature review related to this project.
Project Oversight Group Members:
Ken Avner FSA, MAAA
Joan Barrett FSA, MAAA
Yi Chen
Tyler Doiron
Janet Duncan FSA, MAAA, FCAS
Sophie Feng ASA, CERA, ACIA
Shasha Huang ASA
Julie Meadows FSA, MAAA, CERA
Tamara Wilt ASA, MAAA
At the Society of Actuaries:
Rob Montgomery, ASA, MAAA, FLMI, Consultant – Research Project Manager
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