The 2026 International Workshop on Health Informatics Education (HI-Edu 2026)

• Overview
• Topics
• Submission
• Publication
• Organizing Committee
• Important Dates
• Schedule
• Registration
• Link to the Previous Workshop
• More Information

Overview

Rapid advancements in biotechnologies and health information technology have transformed the landscape of healthcare data generation and utilization. The widespread adoption of electronic health records (EHRs), wearables and smart devices, and social media platforms has produced an unprecedented volume and variety of health-related data. Effectively harnessing these rich data sources requires a workforce skilled in managing, analyzing, and interpreting complex health information to improve care delivery, research, and decision-making. Consequently, the demand for well-trained Health Informatics (HI) professionals and researchers has grown sharply. To meet this need, many new HI education programs have emerged in the past decade. Broadly defined, health informatics covers diverse fields such as medical informatics, data science, health information management, public health informatics, nursing informatics, dental informatics, pathology informatics, health care administration, and other related domains.

Researchers and educators have invested substantial time and efforts in identifying effective strategies for providing high-quality HI education to equip graduates with the knowledge and skills needed to successfully overcome the challenges they face in their careers. However, as an inherently interdisciplinary field, HI education varies widely across institutions and regions, reflecting diverse pedagogical models, curricular structures, and implementation challenges. Moreover, the vast volume of health data presents unprecedented opportunities and obstacles, particularly in providing students with hands-on experiences using real-world data to address real-world healthcare problems. In addition, the rapid progress in generative AI technologies and the corresponding applications has introduced new complexities. Tools such as ChatGPT, Gemini, and Claude are increasingly used by students to assist with coursework, raising important questions about academic integrity, assessment validity, and how best to integrate these emerging technologies into HI education.

To shape the future of health informatics education, the 2026 International Workshop on Health Informatics Education (HI-EDU 2026) will provide a unique platform for close interactions among educators, researchers, students, scholars, and industry professionals who are interested in HI education. We are calling for papers and abstracts that highlight novel approaches, works in progress projects, and original state-of-the-art developments in training activities, program development, education research, tools and resources for HI education and case studies.

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Topics of Interest

• HI Education Research: Original studies on teaching and learning in HI, including the impact of emerging technologies such as LLMs and Generative AI on education and training.
• Education Program Development and Curriculum Improvement: Design, implementation, and evaluation of HI education programs and curricula.
• Pedagogy for High-Quality HI Education: Novel pedagogical approaches, instructional design, and active learning strategies.
• Tools and Resources for HI Education: Development and use of educational tools, datasets, simulation environments, apps, and LLM/GAI-based platforms for HI teaching and practice
• Challenges in HI Education: Barriers, challenges, and ethical considerations facing the HI education and training, for instance, assessment integrity and responsible AI adoption related to students’ use of LLM for coursework
• The Current State of HI education: Global perspectives on HI education and training, including the role of AI, LLMs, and automation.
• Opportunities and Constraints: Emerging opportunities for HI education innovation through AI integration, as well as limitations related to resources, accessibility, or policy.
• Case Studies: Best practice, research projects, and case studies in HI education and training

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Submission and Review

• Regular papers (8-10 pages, including references) will describe mature ideas, where a substantial amount of implementation, experimentation, or data collection and analysis has been completed.
• Short papers (4-6 pages, including references) will describe innovative ideas, where preliminary implementation and validation work have been conducted.
• Abstracts (1 page, including references) will describe your vision, work in progress and preliminary results.

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Presentation and Publication

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Organizing Committee

Chairs:

• Leming Zhou, PhD, FAMIA, Leming.Zhou@pitt.edu, University of Pittsburgh, US
• Huanmei Wu, PhD, FAMIA, huanmei.wu@temple.edu, Temple University, US
• Chiu C Tan, PhD, cctan@temple.edu, Temple University, US.

Program Committee:

• Ahmad Tafti, PhD, FAMIA, tafti.ahmad@pitt.edu, University of Pittsburgh, US.
• Dilhari DeAlmeida, PhD, FAHIMA, drd7@pitt.edu, University of Pittsburgh, US.
• Cathy A. Flite, PhD, RHIA, FAHIMA, cflite@temple.edu, Temple University, US.
• Andi Saptono, PhD, andi.saptono@pitt.edu, University of Pittsburgh, US.
• Bari Dzomba, PhD, bari.dzomba@temple.edu, Temple University, US.
• Omar Martinez, PhD, omar.martinez@ucf.edu, University of Central Florida, US
• Javad Mohammad Alizadeh, javad.mohammad.alizadeh@temple.edu, Temple University, US.
• Hao Liu, liuha@montclair.edu, Montclair State University, US.
• Mukesh Kumar Patel, mukesh.kumar.patel@temple.edu, Temple University, US.

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Important Dates:

• Deadline for abstract/paper submissions: March 15, 2026
• Notification of workshop paper acceptance: March 21, 2026
• Camera ready workshop paper due: March 28, 2026
• Workshop date: June 1, 2026

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Schedule

• Keynote Speech, 8:00 AM - 9:00 AM CT , Dr. Hooman Rashidi, MD, MS, FCAP, Associate Dean of AI in Medicine, University of Pittsburgh
  

  Title: Reshaping the Future of Medical Care, Education and Research: The Pivotal Roles of Synthetic Data, Generative AI and Auto-MLs

  Bio: Dr. Rashidi is the Associate Dean of AI in Medicine, Professor and Endowed Chair of Lombardi-Shinozuka Experimental Pathology Research, Executive Director of the Computational Pathology & AI Center of Excellence (CPACE), and Executive Vice Chair of the Computational Pathology & Informatics Division at UPMC. He focuses on advancing AI- and ML-driven solutions across clinical care, research, and education, and is the inventor and developer of numerous AI products being licensed by multiple organizations, including MILO, STNG, Pitt-GPT-plus, WSI-Genie, Auto-Pix-AI, Script-IQ, and Edit-Tron, among others. He also developed Cleveland Clinic’s AI course and Pitt’s newest no-code interactive AI education program, Pitt-AI-cademy. Internationally recognized for his contributions, he has held senior editorial roles in leading pathology and informatics journals, delivered invited lectures worldwide, authored influential AI original manuscripts and review series, and served in key national leadership and committee roles shaping the future of AI and digital medicine.
  

• Paper presentations, 9:00 AM - 9:50 AM CT, 10 minutes each, 10 minute Q & A after all presentations in the session
  
  • Yingbo Ma and Yukyeong Song, Early Design of a Case-Based Platform for Training Responsible AI Practice in Clinical Care
  • Sripriya Rajamani, Eric Maurer and Roli Dwivedi, Applied Informatics Learning Experiences: Case Study on Partnership to Support Student Learning
  • Andi Saptono, Made Dhanar Indhira Yoga, I Made Agus Setiawan and Bambang Parmanto, An Integrated Platform for Health Analytics and AI Orchestration Education
  • Sagnik Dakshit, Bhavani Suryadevara and Lindsey Stockton, TRACE-Med: Policy-based Abstention to Mitigate Hallucinations in LLM-Generated Clinical Case Analysis

• Coffee Break, 9:50 AM - 10:15 AM CT
  

• Invited Talks, 10:15 AM - 10:55 AM CT, 20 minutes each, including 15 minutes presentation and 5 minutes discussion
  
  • Chris Yang
    
  • Stephen Huo, HI Skills Needed in Industry
    

• Paper presentations, 10:55 AM - 11:45 AM CT, 10 minutes each
  
  • Chiu C Tan and Huanmei Wu, Developing a Digital Twin for Privacy and Security Training for Healthcare Professionals
  • Leming Zhou, Dilhari DeAlmeida and Bambang Parmanto, Preparing the Healthcare Workforce for AI: A Flexible and Student-Centered Graduate Education Model
  • Sripriya Rajamani, Divya Rupini Gunashekar, Umesh Ghimire, Jonathon Leider and Brian Dixon, Characterizing Education, Experience, Technical and Informatics-related Skills Needs from a National Survey on Governmental Public Health Leadership
  • Tianrui Wang, Liuyi Chen and Shirong Zheng, WSI-InteractBench: Network-Aware and Privacy-Conscious WSI Access for Remote Pathology Education
  • Javad Mohammad Alizadeh, Pegah Saebi, Mukesh Kumar Patel and Huanmei Wu, Natural Language Processing in Health Professions Education: A Scoping Review with Implications for Public Health

• ICHI Keynote, 11:45 PM - 12:45 PM CT

• Lunch. 12:45 PM - 1:30 PM

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Link to the Previous Workshops

The 2022 International Workshop on Health Informatics Education (HI -Edu 2022)

The 2023 International Workshop on Health Informatics Education (HI -Edu 2023)

The 2024 International Workshop on Health Informatics Education (HI -Edu 2024)

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More Information

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