IMPORTANT DATES (EARLY BIRD submission – long papers, only)
- Submission deadline: NEW EXTENDED deadline: Sept 21st, 2024
Sep 07th, 2024 - 1st round notification: Oct 21st, 2024
Oct 07th, 2024 - revised version deadline: Nov 14th, 2024
- 2nd round and final notification: Dec 14th, 2024
- Camera-ready copy due: Jan 14th, 2025
Submission to the early bird
Besides our regular submission process, we are excited to introduce an additional submission mechanism to accommodate the diverse needs of our participants: Early Bird Submission, aiming to offer flexibilities, promote review quality, broaden participation, and foster an open and engaged community. The early bird submission will be hosted on OpenReview.net. By participating in the early bird submission, you can refine your work based on constructive critiques from experts in the field, well before the regular submission deadline. The new mode shares the same reviewing and publication standards as the regular submission.
The early bird submission will accept long papers, only. The recommended formatting style is that of the IEEE proceedings, i.e. the traditional IEEE ICHI proceeding style. Paper submissions must adhere to the IEEE Proceeding`s Format.
The maximum paper length is up to 10 pages, plus references.
Early Bird and Regular Submission Deadlines
- Early Bird Submission
- Submission deadline: Sep 07th, 2024
- 1st round notification: Oct 07th, 2024
- Initial reviews will be provided, categorizing submissions into ‘Accept,’ ‘Revise,’ or ‘Reject.’
- Revised version deadline: Nov 07th, 2024
- Resubmission round and final notification: Dec 07th, 2024
- Camera ready: March 07th, 2025
- Submission platform (openreview): Early bird submission – IEEE ICHI 2025
Implementing the early bird mode provides authors with opportunities to improve their submission. A submission can be accepted in the initial round review in the early bird (Oct 7th, 2024), in the resubmission round in early bird (Dec 7th, 2024), or in the regular submission.
If a paper is rejected in the early bird, authors may submit as a regular submission (submission by Jan 07th, 2025, notification by March 13th, 2025).
A paper accepted in the early bird may also be recommended for publication in the Journal of Healthcare Informatics Research, following the decision of the chairs and of the EiC of the journal. The Journal of Healthcare Informatics Research highlights novel, cutting-edge contributions in computing for the health informatics research community. The publication policies of the JHIR apply.
If the early bird submission is accepted for publication in the JHIR, the paper must also be presented at the conference, requiring one author to register at the authors’ registration fee.
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-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-Centered Computing:
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