An AIS SIG-Health Sponsored Workshop
Date: Sunday, December 14, 2025, Nashville, Tennessee
Theme: Digital Health in the AI Era
HITS (formerly the SIG-Health Pre-ICIS Workshop) is a pre-conference activity of the International Conference on Information Systems (ICIS) hosted by the Special Interest Group Health IT (SIGHEALTH). It provides a forum for those working on information technology in the context of healthcare. We welcome both research-in-progress and completed work on a broad range of topics and methodologies. Authors do not have to be SIG-Health members to participate. This year’s theme emphasizes the unique challenges and opportunities of digital integration in healthcare. We highlight emerging tools, practices, and policies that enable seamless collaboration across health IT systems in the age of AI. Please note that the papers do not have to fit the theme, just relate to health IT in general.
The papers will not be included in conference proceedings and so authors retain all copyrights to their work. However, accepted papers will be listed with author names, affiliations, title, and brief abstract on the AIS SIG-Health website.
The workshop is restricted to 40 participants and will include presentations and roundtable discussions. All submitted work will be reviewed by the co-chairs and other workshop authors. All accepted papers will then be presented and discussed during roundtable discussions to provide authors with help, feedback, suggestions, and to facilitate future collaborations. We will have 3-5 authors per table to facilitate discussion. There will be a featured presentation and a recognition of the 2025 Best Paper Award awardees to all participants. The interactive format of the workshop is geared towards providing a high degree of feedback to authors with promising early-stage work, but is certainly open to developed and completed research as well.
Keynote #1 Title: The Human Side of Artificial Intelligence in Healthcare: Building Trust, Transparency, and Transformation.
Topic: Exploring how human-centered design and domain knowledge can make AI in healthcare more trustworthy, transparent, and transformative.
Speaker: Dr. Monica Chiarini Tremblay.
Bio: Monica Chiarini Tremblay is the Hays T. Watkins Distinguished Professor of Business at the Raymond A. Mason School of Business, William & Mary. Her research focuses on business analytics and design science, with a particular emphasis on applications in healthcare, government, and the public sector. She studies how information systems can enhance digital resilience, improve decision-making, and support the effective implementation of policies. A key aspect of her work involves developing methods to integrate domain knowledge into AI, increasing transparency, and improving outcomes in critical areas.
Dr. Tremblay’s research has been published in leading journals, including MIS Quarterly, Information Systems Research, Journal of the AIS, Decision Support Systems, Journal of the American Medical Informatics Association, Decision Sciences, European Journal of Information Systems, ACM Journal of Data and Information Quality, and Communications of the AIS. She holds a Ph.D. and a master’s degree in information systems from the University of South Florida, as well as a Bachelor of Science in Industrial and Systems Engineering from the University of Florida.
Keynote #2 Title: Leveraging Social Media and Large Language Models for Patient Education
Speaker: Dr. Anjana Susarla
Abstract: Digital platforms such as YouTube provide a vast repository of user-generated health information in a multi-media-rich format that can be used for patient education. Large language models can also be leveraged to develop contextualized and personalized health education materials. At the same time, there are concerns about content quality, usefulness and accuracy of the health information available through these sources. Our work looks at an automated solution to identify, retrieve and shortlist medically relevant and understandable YouTube videos that domain experts can subsequently review and recommend for patient education. Our approach leverages domain knowledge from human experts and machine learning and natural language processing methods to provide a scalable, replicable, and generalizable approach that can also be applied to enhance the management of many health conditions.
Bio: Anjana Susarla is the Omura-Saxena Professor of Responsible AI at the Eli Broad College of Business at Michigan State University. She earned an undergraduate degree in Mechanical Engineering from the Indian Institute of Technology, Chennai; a graduate degree in Business Administration from the Indian Institute of Management, Calcutta; and Ph.D. in Information Systems from the University of Texas at Austin. Her work has appeared in several academic journals and peer-reviewed conferences. She has been interviewed and published op-eds in several media outlets such as the Associated Press, BBC, Fast Company, Fox News, National Public Radio, NBC, Newsweek and Washington Post. Her research has been funded by prestigious organizations such as the National Institute of Health (NIH). She is a contributing writer for Forbes and currently serves as a faculty director for the Center for Ethical and Socially Responsible Leadership (CESRL).
Workshop Registration Fees (Early bird, regular, onsite)
In-Person Attendance with ICIS registration:
AIS Academic Member = $20
AIS Professional Member = $25
AIS Student = $10
In-Person Attendance – Workshop Only:
AIS Academic Member = $20
AIS Professional Member = $25
AIS Student = $10
Submission Instructions:
We will request brief abstracts and short papers for presentation at the workshop. Papers must be in English and need to contain original research. Only one paper per first author will be accepted.
To submit a paper:
– Create a single pdf file containing a brief abstract (150 words maximum) and paper that is no longer than six pages (blinded, 11-pt Times New Roman font, one-inch margins on four sides, double-spaced).
Please note the brief abstract and short paper format of this workshop. Manuscripts which fail to comply with the formatting requirements will likely be rejected. Do not send full-length papers. This workshop is designed to give authors of papers at many stages of development timely feedback. Therefore, authors need to adhere to the format guidelines to facilitate a timely review process.
Please note: By submitting, the author team agrees to perform two reviews of other papers submitted to the workshop. This is done to ensure each manuscript gets two reviews.
Important dates:
-Deadline for workshop submissions: Monday, October 13, 2025
-Deadline for reviews: Sunday, October 26, 2025
-Notification of Acceptance: Monday, October 31, 2025 (target date)
-Deadline for Author Registration: Friday, November 21, 2025
-Workshop: Sunday, December 14, 2025
Workshop Chairs:
Renée Pratt, Ph.D.
2025 SIG Health Workshop Co-Chair
renee.pratt@rprattphd.com
Haijing Hao, Ph.D.
2025 SIG Health Workshop Co-Chair
hhao@bentley.edu