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Authors:
Sri Ramesh Eevani
Rajiv Nag
Keywords: Physician Burnout, Documentation Overburden, Generative AI, Medical Practices; Clinical Documentation
Abstract:
This paper presents a comparative case study of a live implementation of a Generative AI solution in 5 medical practices. Our findings shed new light on the impact of Generative AI on various aspects, such as social structures, roles, organizational processes, and technical systems of medical practices. It is well known now that the increasing documentation burden on physicians has led to medical errors, patient safety concerns, and physician burnout. This study investigates the adoption and implementation of a Generative AI-based clinical documentation technology in medical practices over 5 months. Our data included interviews, participant observations, process documentation and mapping, tracking social interactions, and analyzing textual user feedback data. The results enabled us to develop an implementation process framework that can be generalized across medical practices, categorizing changes into social, technical, organizational, and goals & outcomes. The implementation of Generative AI has led to both tangible and intangible benefits, including the creation of a new role of Scribe to provide human oversight of AI-generated clinical documentation. Resistance and apprehensions from practice staff have impacted implementation speed and decision-making. The study emphasizes the importance of considering social and organizational process changes in adopting new technologies and identifies role re-reforming and triadic co-creation as key concepts. Our process framework also includes an entrepreneur’s and emerging technology product implementation team’s co-creation experiences with the medical practices. Overall, this research provides a processual framework to capture the nuances of adopting and co-evolving an emergent and uncertain technology.
Pages: 42 to 46
Copyright: Copyright (c) IARIA, 2025
Publication date: March 9, 2025
Published in: conference
ISBN: 978-1-68558-247-0
Location: Lisbon, Portugal
Dates: from March 9, 2025 to March 13, 2025