Special Session
Special Session on
Responsible AI in Healthcare Information Systems and Technology -
RespAI-HealthInfo
2026
2 - 4 March, 2026 - Marbella, Spain
Within the 19th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2026
* CANCELLED *
CHAIR
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Tahir Hameed
Merrimack College
United States
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Brief Bio
Dr. Tahir Hameed is an Assistant Professor of Management at Merrimack College, North Andover, MA. He specializes in information systems, technology management and business analytics areas. Dr. Hameed obtained his PhD in Information Technology Management in 2012 from the Korea Advanced Institute of Science and Technology (KAIST). He also earned a master’s degree in computer science from LUMS in 2001 and a bachelor’s degree in industrial electronics engineering from NED University of Engineering & Technology in 1995. Before starting in academia, he worked for a decade in industrial automation, software and IT sectors. From 2012 to 2018, Dr. Hameed served as Assistant and Associate Professor at SolBridge International School of Business in South Korea. His research primarily focuses on technology innovation management, online health information, and healthcare analytics. In the area of technology innovation management, his research on technology standardization and commercialization in catching-up nations has been published in journals such as Technology Analysis and Strategic Management, Technological Forecasting and Social Change, World Development, Telecommunications Policy, and Sustainability. In the field of online health information and healthcare analytics, his research focuses on theoretical and practical issues in online health information and clinical decision support systems, with recent publications in Information Sciences and Computers in Human Behavior. He can be reached at hameedt@merrimack.edu.
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SCOPE
Responsible AI in healthcare information systems refers to transparent, accountable and ethical design, deployment, and use of artificial intelligence technologies in health-related information delivery and decision-making. Patient safety is increasingly becoming reliant on the use of AI-driven online health information (OHI), electronic health records (EHRs), clinical decision support systems (CDSS), and software as medical devices (SaMDs), etc. This session targets theoretical issues, new technological implementations, and management and policy issues on responsible AI in healthcare information systems. The papers will focus on areas including, but not limited to, accuracy, reliability, algorithmic discrimination, transparency, explainability, human-AI collaboration, information privacy, trust, ethical and regulatory compliance in AI-driven health information and systems.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Accuracy and Reliability
- Learning capabilities
- Scalability
- Transparency and Explainability
- User Trust
- Human-AI Collaboration
- Data Governance
- Safety and Harm Prevention
- Information Privacy & Misuse Prevention
- Bias and Fairness
- Ethical Compliance
- Sustainability
IMPORTANT DATES
Paper Submission:
December 17, 2025
Authors Notification:
January 14, 2026
Camera Ready and Registration:
January 22, 2026
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library