IEEE/ACM CHASE is a leading international conference in the field of connected health. It aims at bringing together researchers worldwide working in the smart and connected health area to exchange innovative ideas and develop collaborations. Connected health is at the convergence of multiple domains and technologies and helps to shape foundational improvements to healthcare delivery. In the future, improvements from Connected Health will be realized by providing rich medical information to individuals and by replacing infrequent, clinic-based measurements with unobtrusive, continuous sensing, monitoring and assessment. Connected health technologies will enable preventive health and personalized medicine and significantly reduce healthcare costs.
Building upon the success of its past nine years, IEEE/ACM CHASE 2026 will be held in Pittsburgh, PA, USA in August 2026 to address challenges for enabling connected health worldwide.
Note: IEEE/ACM CHASE 2026 will accept regular, short, workshop, demo, and poster papers. Accepted regular and short papers will have an option to be published in either ACM Proceedings or Elsevier Smart Health Journal. The Best Paper Award will be selected among the accepted full papers. Topics of interest and submission details are provided on the IEEE/ACM CHASE 2026 website. Student Travel Awards will be provided to selected students from US-based institutions.
The submission site is: https://chase26.hotcrp.com/
Only electronic submissions in PDF will be accepted. Submitted papers must be written in English. Submitted regular paper should be no longer than 12 double-column pages, and short paper should be no longer than 5 double-column pages including the Reference and Appendix sessions. Submitted papers must be neither previously published nor under review by another workshop, conference or journal.
Topics of interest include but are not limited to:
Applications
Public health and home monitoring
Healthcare data processing, data analytics, and data mining
Medical imaging and image processing
Large Language Models or Foundation Models for medical applications
Personalized medicine and preventive treatment
Evolutionary and longitudinal patient and disease models
Security, privacy and trust for connected Health services/applications
Systems
Biomedical sensing and monitoring systems
Integration of medical devices with wireless health
Body area networks
Implantable sensor networks
Communication system or decision support system design for connected health
Engineering Technologies
Wearable devices and wearable computing
Smart garments/textiles
Communication/network infrastructures and protocols
Robotics for connected health
Telemedicine and Remote Medical Diagnostic System
Software, systems, and performance engineering for connected health