Objectives and Research Topics/Areas

Large-scale multimodal data generated by modern healthcare systems coupled with advances in artificial intelligence (AI) techniques have the potential for advancing medical research and improving patient care. At the same time, leveraging these data effectively requires addressing a host of novel challenges, intersecting privacy, scalability, and usability issues.

This workshop aims at bringing together researchers and practitioners in health informatics to discuss state-of-the-art approaches, real-world applications, and open challenges that drive future directions in this field. All submissions should present original research and provide high-quality contributions toward the areas of Data Privacy and Data Analysis in Healthcare Systems.

Topics of interest include, but are not limited to:

1. Privacy and Data Sharing: investigating the challenges of maximizing data usability while safeguarding patient privacy in healthcare data/EHR analytics, precision medicine, and data integration

2. Trustworthy AI systems: examining the potential impacts of emerging AI models in biomedical applications, such as privacy risks and predictive bias; applications of AI in healthcare

3. Decentralized Data Analysis: exploring emerging techniques for leveraging data across multiple sites including but not limited to blockchain-based technology, federated learning and swarm learning

4. Health Data Analysis Infrastructure: including but not limited to methodologies and tools, visualization analytics, health management/repositories, and real-world case studies

Paper submission instructions

This workshop will only accept papers that have not been previously published. Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (Click here).

Accepted paper formats (references are counted within the page limits):

Please click here to Submit your paper!

Accepted papers will be published in the IEEE ICHI 2026 proceedings (on IEEE Xplore – Indexed on Scopus and many other platforms). For further information, please see IEEE ICHI 2026 web page @ https://zhang-informatics.github.io/ICHI2026/.

At least one author of each accepted paper to the workshop must register and present the paper at the conference.

Review procedure

The reviewing process will be single-blind.

All submitted papers will be reviewed by 3 international program committee members.

Important Dates

Workshop Organizers

General Chairs

Matteo Mantovani Matteo Mantovani, Ph.D.
Department of Computer Science, University of Verona, Italy
matteo.mantovani@univr.it
Luca Bonomi Luca Bonomi, Ph.D.
Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA
luca.bonomi@vumc.org

Technical Program Committee

Name Affiliation
Matteo Mantovani, PhD Department of Computer Science, University of Verona, Italy
Luca Bonomi, PhD Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA
Xiaoqian Jiang, PhD School of Biomedical Informatics, UTHealth, TX, USA
Alex MH Kuo, PhD School of Health Information Science, University of Victoria, BC, Canada
Damiano Carra, PhD Department of Computer Science, University of Verona, Italy
Liyue Fan, PhD College of Computing and Informatics, University of North Carolina at Charlotte, NC, USA
Eliana Pastor, PhD Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, Italy.
Tsung-Ting Kuo, PhD Department of Biomedical Informatics & Data Science, Yale University, CT, USA
Gamze Gürsoy, PhD Department of Biomedical Informatics, Columbia University, NY, USA
Idio Guarino, PhD Department of Computer Science and Engineering, University of Bologna, Italy
Chao Yan, PhD Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA
Yipeng Shi, PhD Apple Inc., USA
Ananya Mantravadi Centific Global Solutions, USA
Harshit Rajgarhia Centific Global Solutions, USA
Shivali Dalmia Centific Global Solutions, USA

Program

Time slot
 Activity
8:15 AM
–
8:25 AM		 Welcome
Title Authors
8:25 AM
–
8:40 AM		 Hardware-Accelerated AES for Privacy-Preserving Healthcare Data Pipelines in Remote Patient Monitoring Sai Manasa Alamuri and Zahra Najafi
8:40 AM
–
8:55 AM		 Willingness to Share: What Data are Participants Willing to Share for Mental Health Screening Avantika Shrestha, Kevin Hickey and Elke Rundensteiner
8:55 AM
–
9:10 AM		 FedHemo: A Federated CTAB-GAN+ Framework for Privacy-Preserving Non-Invasive Hemoglobin Prediction using Smartphone-based PPG Signals Nafi Us Sabbir Sabith, Nathaniel Parise, Sachin Shrestha, Tasnia Zaman, Iysa Iqbal, Anushka Kolli, Masud Rabbani and Sheikh Iqbal Ahamed
9:10 AM
–
9:25 AM		 A Lightweight Patch-Based Transformer for Subject-Independent Automated Seizure Detection Adithya Rajnarayanan
9:25 AM
–
9:35 AM		 Differentially Private RAG for Clinical Decision Support from Electronic Health Records Arun Ramaswamy, Vishnu Vinod, Sivakumar Krishnamoorthy, Ramayya Krishnan, Krishna Pillutla and Rema Padman
9:35 AM
–
9:45 AM		 Machine Learning for Medical Student Learning: Can LLMs Evaluate Sample Clinical Encounters and Provide Trustworthy Decision Support to Expert Faculty? Vijay Koduri, Aarav Purohit, Noah Jacob, Aayush Visaria, Jay Naik, Sarang Kim, Siobhan Corbett, Advaith Bongu, Archana Pradhan, Carol Terregino and Naveena Yanamala
9:45 AM
–
10:15 AM		 Coffee Break
10:15 AM
–
11:15 AM		 Keynote "A New Paradigm for Medical Discovery and Healthcare through Artificial Intelligence" Prof. Yonghui Wu, PhD
11:15 AM
–
11:30 AM		 One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Afsaneh Mahanipour and Hana Khamfroush
11:30 AM
–
11:45 AM		 Final Discussion - Closing Remarks

Past editions

Link - 2nd edition - In conjunction with the 2025 IEEE International Conference on Healthcare Informatics (IEEE ICHI 2025) - 18th June 2025 - Rende (CS) - Italy

Link - 1st edition - In conjunction with the 2024 IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024) - 3rd June 2024 - Orlando (FL) - USA