We invite submissions of workshop papers for the workshop “From Health Records to AI-Assisted Intelligence: A Hands-On Data Journey with SQL, Large Language Models and Roadmap for Evaluation”.
We invite original work across the full data journey covered by the tutorial: preparing and analysing routinely collected health data, applying LLM-based systems to health information, surveillance and early warning, and evaluating whether those systems work. We welcome evaluation studies, benchmarks and datasets, system and deployment studies, negative results and replications.
Click here for full information on the workshop.
!! Deadlines !!
| Workshop Call for Papers (CFP) – Submission deadline | 23 December 2026 |
| Workshop Call for Papers (CFP) – Notification deadline | 28 January 2027 |
| Camera-ready deadline | 7 April 2027 |
Themes of interest
The organisers encourage authors to submit an original paper or an extended abstract on the following topics (including, but not limited to):
- Health data foundations. Working with routinely collected health records: data extraction, cleaning, linkage, cohort definition, data quality and reproducible SQL workflows.
- LLM-based analysis and decision support. Using LLMs, RAG and agents to query, analyse and summarise health data for health information, surveillance and early warning.
- Evaluation and evidence. Ground truth, meaningful baselines, grounding and provenance, uncertainty, failure modes, human oversight, and measures that go beyond answer accuracy.
Submission guidelines
We encourage authors to submit either a full paper or an extended abstract. Authors of accepted papers and abstracts will be invited to present at the workshop and will be included in the DPH2027 proceedings – abstracts in Frontiers and full papers will be submitted for possible inclusion into IEEE Xplore.
For submitting a Full Paper, please follow the instructions:
- All submissions must be original and not simultaneously submitted to another journal or conference.
- The papers must range between 4‑8 pages, including references and any appendices.
- Papers should conform to the IEEE double column format: https://www.ieee.org/conferences/publishing/templates.html
- Papers must be anonymised: the names and affiliations removed, and any references to previous works either substituted with “anonymised” or rephrased.
- All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH2027 Workshop – From Health Records to AI-Assisted Intelligence” track.
- Please paste your Abstract in the Abstract field in the Easychair system for ease of processing and review allocation.
NOTE that:
- Full Paper submissions will be reviewed by three reviewers from the PC and SPC committees and assessed in terms of their quality, relevance to the conference, originality, significance, correctness, and clarity.
- All accepted papers will have their own DOI.
- Accepted papers will need to incorporate reviewers’ comments and re-submit their paper by the Camera-ready deadline. Instructions will be provided.
- Papers accepted for publication must have at least one author registered and must be presented in person at the conference in order to be considered for publication by IEEE Xplore. Papers from no-show authors will be removed from the proceedings.
- An accepted paper may be selected for either oral or poster presentation depending on review score and topic specificity.
For submitting an Extended Abstract, please follow the instructions:
- Please format your submission using Times New Roman, 12 pt font size, with justified alignment. The submission must not exceed 1000 words, excluding the reference list. References are compulsory and should be included in the submission. A maximum of two figures or tables may be included.
- Extended Abstracts could follow the standard structure: Introduction, Background, Methods / Datasets, Results, and Conclusion. Alternatively, computer science and engineering abstracts can follow alternative structure such as Introduction, Background, Framework / Architecture, Implementation, Results (if available), Novelty and Challenges and Conclusion.
- Submissions must be anonymised: the names and affiliations removed, and any references to previous works either substituted with “anonymised” or rephrased.
- All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH2027 Workshop – From Health Records to AI-Assisted Intelligence” track.
- Paste your first section (Aims/Abstract/Overview) to the Abstract field in the Easychair system for ease of processing and review allocation.
NOTE that:
- Abstract submissions will be reviewed by two to three reviewers from the PC and SPC committees and assessed in terms of their quality, relevance to the conference, originality, significance, correctness, and clarity.
- Accepted Extended Abstracts will have to incorporate reviewers’ comments and re-submit their abstract by the Camera-ready deadline. Instructions will be provided.
- Accepted submissions may be selected for either oral or poster presentation depending on review score and topic specificity.
Programme Committee. The Programme Committee of six to eight members will be confirmed upon acceptance. It will draw on academia, health services, national public health institutes and industry, and on the editorial and reviewer community of the Frontiers Research Topic. It will cover health data science, LLM and NLP evaluation, digital epidemiology, health communication and AI governance, with members from at least three world regions.
Contact
All questions about submissions should be emailed to:
- Margarida Afonso – afo@isep.ipp.pt
- Joana Silva – 32395@ulsba.min-saude.pt
- Dr Aisha Aldosery – aaldosery@kacst.gov.sa
SUBMISSION
Submission is via EasyChair.