23088: What AI Models Can Reveal About the Changing Organization of Healthcare

Tuesday, July 29, 2025

10:15 - 11:45 CEST (GMT+2)

Location: Bella Center: Hall B- B5-m5

Session Type: Symposium (panel)
Orientation: Research
Shareable link: https://cdmcd.co/Gw6D9d

Organizer(s)

CO

Carsten S. Osterlund

Syracuse University, United States
IE

Ingrid Erickson

Syracuse U. School of Information, United States

Panelist(s)

AB

Anand Bhardwaj

McGill U. - Desautels Faculty of Management, Canada
LD

Luciana D'Adderio

U. of Edinburgh, Scotland
MR

Marjolaine Monique Rostain

Warwick Business School, France

The healthcare sector has consistently embraced digital technology, from electronic health records to surgical robots. Currently, artificial intelligence (AI) is making significant inroads, enhancing diagnostic and administrative tasks, predicting future pandemics, and improving operational efficiency. However, the integration of AI in healthcare is still evolving, especially with the advent of generative AI in late 2022. This ongoing transformation raises numerous questions about AI's role and implementation in healthcare organizations. To explore these issues, this panel symposium will focus on the interplay between AI/machine learning models and healthcare practices. The symposium will examine how these models influence organizational workflows and decision-making. Featuring diverse research perspectives, the panel aims to provide a comprehensive discussion of AI's impact on healthcare practices, organizational forms and future developments.