IMPORTANT DATES (REGULAR submission, long and short papers)
- Submission deadline: Jan 07th, 2025
- Notification of acceptance: Mar 13th, 2025
- Camera-ready copy due: Mar 28th, 2025
Submission
The conference will accept both long and short papers.
- Regular papers (8-10 pages, references not counted towards the page limit) will describe mature ideas, where a substantial amount of implementation, experimentation, or data collection and analysis has been completed.
- Short papers (4-6 pages, excluding references) will describe innovative ideas, where preliminary implementation and validation work have been conducted.
- The submission site is EasyChair.
When submitting papers, the authors must select a track that is most appropriate for their submission. For example, a paper on information systems for healthcare delivery can be submitted to either the Systems track, or the Human Factors track, depending on the focus of the work. Before a submission is sent to the reviewers, the program chairs will also perform an assessment to determine the best fit for the submission.
Paper submissions must adhere to the IEEE Proceedings Format.
For publication opportunities as posters, demos, or in the industry track, for workshops, tutorials, and the doctoral consortium see the respective other calls.
Reviewing
ICHI uses double-blind reviewing for full and short papers, submissions should therefore be anonymized and all references and links disclosing the authorship should be blinded appropriately.
Topics
IEEE-ICHI is dedicated to advancing areas such as artificial intelligence (AI), machine learning (ML), foundational principles of computer and information sciences and technology, communication technology to address challenges and problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights novel, cutting-edge contributions in computing for the healthcare informatics research community. It covers three major tracks:
- Analytics—focuses on advancing AI/ML-based decision support, generative AI, data analytics, knowledge discovery, and predictive modeling for healthcare research.
- Systems—focuses on building and deploying novel healthcare informatics systems (e.g., architecture, framework, design, engineering, and application).
- Human factors (Human-centered Computing) —focuses on intelligent communication with healthcare stakeholders (e.g., doctors, nurses, and patients), adaptive interface design for healthcare systems, user experiences of healthcare informatics applications, and understanding and motivating health behavior.
By addressing these areas, IEEE-ICHI aims to bridge the gap between healthcare and information technology, fostering interdisciplinary collaboration and development of novel methods to improve patient outcomes and public health.
Topics include but are not limited to:
- Analytics:
AI/ML-based decision support systems
Generative AI for healthcare
Safe and trustworthy AI in healthcare
Interoperability and data integration
Predictive modeling
Medical information retrieval
Medical natural language processing
Smart health and connected health
Social media analytics
Medical recommender system
Disease profiling and personalized treatment
Visualization of medical data
Intelligent medical devices and sensors
Epidemiological surveillance systems and intervention modeling
Semantic Web, linked data, and ontology
Statistics and quality of medical data - Systems:
In-home and continuous health monitoring
Cybersecurity in healthcare
Healthcare software architecture, framework, design, and engineering
Electronic health records
Healthcare information systems
Healthcare workflow management
Health systems modeling and simulation - Human Factors:
Intelligent healthcare stakeholder communication systems
Mixed reality-based healthcare systems
Patient engagement and experience in healthcare
Usability studies in healthcare
User-interface design for medical devices and healthcare software
Health service delivery
Health games
Consumer and clinician health information needs, seeking, sharing, and use
Assistive and adaptive ubiquitous computing technologies
More details to come
