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 nowhere.

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:

  1. Analytics—focuses on advancing AI/ML-based decision support, generative AI, data analytics, knowledge discovery, and predictive modeling for healthcare research.
  2. Systems—focuses on building and deploying novel healthcare informatics systems (e.g., architecture, framework, design, engineering, and application).
  3. 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

 

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