We invite submissions of Workshop Papers for the workshop “Operationalizing LLMs & RAG for Public Health: Building Reliable, Deployable Systems“.
This workshop explores the practical deployment, infrastructure requirements, and operational challenges of applying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems in digital public health. Focusing on reliability, governance, and real-world integration, it highlights solutions that enable trustworthy and scalable use of AI in public health operations. The workshop will feature a panel discussion, oral paper presentations and a Best Paper Award.
Click here for full information on the workshop.
!! Deadlines !!
| Workshop Call for Papers (CFP) – Submission deadline | 11 February 2026 |
| Workshop Call for Papers (CFP) – Notification deadline | 25 March 2026 |
Themes and Topics of interest
- LLM/RAG Infrastructure & System Design
● GPU, edge, on-prem, and distributed inference architectures
● Model compression, quantisation, and efficient fine-tuning for health datasets
● Tooling and frameworks: LangChain, LlamaIndex, RAG Fusion, vector databases
● Retrieval design: indexing, data pipelines, and governance for health-related RAG systems
● Deploying RAG in disconnected/low-bandwidth field settings.
● On-premise architectures for strict patient data privacy (GDPR compliance) - Real-World Applications & Deployment
● Deployment case studies from ministries of health, hospitals, and national agencies
● Integration of LLM/RAG systems into surveillance workflows and health information systems
● Practical lessons learned from operationalising LLMs in public-health environments
● Prompt engineering strategies and fine-tuned models for specialised health tasks - Evaluation, Safety & Reliability
● Evaluation frameworks: accuracy, explainability, safety, reproducibility
● Benchmarking open-source vs proprietary LLMs for health tasks
● Failure modes, hallucinations, uncertainty, and risk mitigation strategies
● Responsible AI: ethics, bias, and governance considerations in health-AI deployment
● Human-in-the-loop workflows for verifying LLM outputs in surveillance.
Submission guidelines
We encourage the authors to submit an option full paper or extended abstract. The accepted paper/ abstract will be invited to an oral presentation session and will be included in the DPH 2026 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 anonymized: the names and affiliations removed, and any references to previous works either substituted with “anonymized” or rephrased.
- All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH 2026 Workshop – Operationalizing LLMs & RAG for Public Health” track.
- Please paste your Abstract in the Abstract field in the Easychair system for ease of processing and review allocation.
For submitting an Extended Abstract, please follow the instructions:
- Please format your submission using Times New Roman, 12 pt font size, and Justified alignment. The total length should not exceed 1000 words (including references), and you may include a maximum of two figures or tables.
- Extended Abstracts could follow the standard structure: Aims/Abstract/Overview, Background, Methods, Results and Conclusions. Alternatively, computer science abstracts can follow a freerer headings structure.
- All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH 2026 Workshop – Operationalizing LLMs & RAG for Public Health” track.
- Paste your first section (Aims/Abstract/Overview) to the Abstract field in the Easychair system for ease of processing and review allocation.
Program Committee:
The committee will be composed of experts from academia, national public health institutes, and industry, ensuring rigorous peer review from both research and operational perspectives.
Contact
All questions about submissions should be emailed to:
- Dr. Aisha Abdullah Aldosery – aaldosery@kacst.gov.sa
- Dr. Fedor Vitiugin – fedor.vitiugin@utu.fi
SUBMISSION
Submission is via EasyChair.