---
title: "Workshop on Patient-Oriented Language Processing @ LREC"
description: "All 53 papers of Workshop on Patient-Oriented Language Processing @ LREC 2026, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/cl4health/2026/papers/"
---
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# Workshop on Patient-Oriented Language Processing @ LREC 2026: all accepted papers

53 papers · the most cited first · [← Workshop on Patient-Oriented Language Processing @ LREC 2026](https://md.research.elamur.ai/free/en/venues/cl4health/2026/)

1. **[A Synthetic Conversational Dataset for Type 2 Diabetes Management](https://md.research.elamur.ai/free/en/papers/ntanavaras-2026-synthetic-conversational-dataset-type-2/)**Stergios Ntanavaras, Maaike de Boer, Piek T.J.M. Vossen*our summary*
2. **[Addressing Domain Shift in Health Coaching Note Analysis through Factorized Synthetic Data Generation](https://md.research.elamur.ai/free/en/papers/tanzer-2026-addressing-domain-shift-health-coaching/)**Michael Tänzer, Iva Bojic, Ashwini Yuvraj Lawate et al.*our summary*
3. **[An Open-Resource Knowledge Augmentation for Biomedical Lay Summarization](https://md.research.elamur.ai/free/en/papers/veloso-2026-open-resource-knowledge-augmentation-biomedical/)**João Pedro Veloso, Evelin Amorim*our summary*
4. **[Aurum at CRF Filling 2026: Modular DSPy Extractors with Qwen3-Max for Multilingual CRF Filling](https://md.research.elamur.ai/free/en/papers/ulli-2026-aurum-crf-filling-2026-modular/)**Vinay Babu Ulli, Jyoti Kumari, Anindita Mondal*our summary*
5. **[Automated Detection of Dosing Errors in Clinical Trial Narratives: A Multi-Modal Feature Engineering Approach with LightGBM](https://md.research.elamur.ai/free/en/papers/smadi-2026-automated-detection-dosing-errors-clinical/)**Mohammad AL-Smadi*our summary*
6. **[BIT.UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA ↗](https://aclanthology.org/2026.cl4health-1.41/)**Richard A. A. Jonker, Alexander Christiansen, Alexandros Maniatis et al.
7. **[Beyond One-Size-Fits-All: Multi-Agent Refinement Framework for Persona-Based Biomedical Summarization](https://md.research.elamur.ai/free/en/papers/salvi-2026-beyond-one-size-fits-all/)**Rohan Charudatt Salvi, Chirag Chawla, Md. Shad Akhtar et al.*our summary*
8. **[CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation ↗](https://aclanthology.org/2026.cl4health-1.31/)**Wei-Chun Chen, Yu-Xuan Chen, I-Fang Chung et al.
9. **[COACH Meets QUORUM: A Framework and Pipeline for Aligning User, Expert, and Developer Perspectives in LLM-Generated Health Counselling](https://md.research.elamur.ai/free/en/papers/ng-2026-coach-meets-quorum-framework-pipeline/)**Yee Man Ng, Bram van Dijk, Pieter Beynen et al.*our summary*
10. **[CaresAI at CT-DEB'26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models ↗](https://aclanthology.org/2026.cl4health-1.30/)**Leon Hamnett, Favour Igwezeke, Joseph Itopa Abubakar et al.
11. **[Cohere Labs Community at FoodBench-QA 2026: The Cake Makes the Ingredients](https://md.research.elamur.ai/free/en/papers/ranjan-2026-cohere-labs-community-foodbench-qa/)**Ravi Ranjan, Roshan Santhosh, Lucien Carroll*our summary*
12. **[Compressed Representations of Patient Records: A Comparative Study of Template-Based and LLM-Based Methods for Clinical Data Summarization and Visualization](https://md.research.elamur.ai/free/en/papers/stockl-2026-compressed-representations-patient-records-comparative/)**Andreas Stöckl, Oliver Krauss, Sophie Bauernfeind*our summary*
13. **[Datasets for a Chatbot for Clinical Trial Search ↗](https://aclanthology.org/2026.cl4health-1.13/)**Yumeng Yang, Ethan Ludmir, Kirk Roberts
14. **[Diagnostic Reasoning with Large Language Models for a Rare Disease: Case Study of Primary Ciliary Dyskinesia ↗](https://aclanthology.org/2026.cl4health-1.27/)**Swati Rajwal, Mary Ellen M. Fain, Lokesh Guglani et al.
15. **[DocUA at CRF Filling 2026: LLM StructCore –- Schema-Guided Reasoning Condensation and Deterministic Compilation ↗](https://aclanthology.org/2026.cl4health-1.33/)**Serhii Zabolotnii
16. **[Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data Using LLMs and Human in the Loop ↗](https://aclanthology.org/2026.cl4health-1.8/)**Lifeng Han, David Lindevelt, Sander Puts et al.
17. **[Evaluating Professional Acceptability of LLM-Generated Systematic Review Summaries in Healthcare: Psychiatrists' Perspectives](https://md.research.elamur.ai/free/en/papers/thompson-2026-evaluating-professional-acceptability-llm-generated/)**Paul Thompson, Artemis Boulogeorgou, Fotini Kaponi et al.*our summary*
18. **[FCProfiler: Structured and Deterministic Pipeline for Recipe-Level Nutrient Estimation ↗](https://aclanthology.org/2026.cl4health-1.32/)**Siyoon Kim
19. **[FHIRPath-QA: Executable Question Answering over FHIR Electronic Health Records ↗](https://aclanthology.org/2026.cl4health-1.1/)**Michael Frew, Nishit Bheda, Bryan Tripp
20. **[FoodBench-QA: Overview of the Shared Task on Grounded Food and Nutrition Question Answering ↗](https://aclanthology.org/2026.cl4health-1.20/)**Tome Eftimov, Ana Gjorgjevikj, Matej Martinc et al.
21. **[GREYC at CRF Filling 2026: Rewrite Before You Extract - Rewriting Clinical Notes for Automated CRF](https://md.research.elamur.ai/free/en/papers/melgarejo-2026-greyc-crf-filling-2026-rewrite/)**Jesus Lovon-Melgarejo, Jérémie Pantin, Gaël Dias*our summary*
22. **[GigitAI at ArchEHR-QA 2026: Prompting Strategies and Constitutional AI for Clinical Question Answering ↗](https://aclanthology.org/2026.cl4health-1.53/)**Saran Krishnasamy, Inez Wihardjo
23. **[HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering ↗](https://aclanthology.org/2026.cl4health-1.47/)**Md Biplob Hosen, Md Alomgeer Hussein, Md Akmol Masud et al.
24. **[HealthTrajectory: Patient Journey Summaries and Visualizations for Patient-Clinician Communication Support ↗](https://aclanthology.org/2026.cl4health-1.14/)**Rohmah Hidayah, Tomohiro Nishiyama, Shoko Wakamiya et al.
25. **[HiTZ-IXA at ArchEHR-QA 2026: Evidence Alignment Through Self-Consistency and Prompt Curation in Memory-Constrained Environments](https://md.research.elamur.ai/free/en/papers/urbieta-2026-hitz-ixa-archehr-qa-2026/)**Xabier Irastortza-Urbieta, Maite Oronoz, Alicia Pérez*our summary*
26. **[Innov8rs at CRF Filling 2026: An Iterative Multi-LLM Ensemble Pipeline with Dynamic Few-Shot Retrieval and Data-Driven Precision Filtering](https://md.research.elamur.ai/free/en/papers/rao-2026-innov8rs-crf-filling-2026-iterative/)**Samminga Sainath Rao, Sumit Mishra, Chanchal Suman*our summary*
27. **[Italian Medical Term Simplification: From Patient Information Leaflets to Simplified Language Resources ↗](https://aclanthology.org/2026.cl4health-1.17/)**Maria Pia di Buono
28. **[MedEvi-NS at ArchEHR-QA 2026: Using Clinical Reasoning Principles to Improve Zero-shot Capabilities of Large Language Models in Evidence Alignment](https://md.research.elamur.ai/free/en/papers/sun-2026-medevi-ns-archehr-qa-2026/)**Mengxuan Sun, Nicolay Rusnachenko*our summary*
29. **[MedGore: An Approach and a Dataset for Identification of Sensitive Medical Images ↗](https://aclanthology.org/2026.cl4health-1.26/)**Soumya Gayen, Rory Mulcahey, Russell Loane et al.
30. **[Medical Text Rewriting for Non-Experts: A Guideline-Driven LLM Approach ↗](https://aclanthology.org/2026.cl4health-1.10/)**Mana Kuramoto, Hiroyuki Nagai, Keiko Yamada et al.
31. **[Medical-FLAVORS-AECC: Spanish Oncological Metaphors Dataset ↗](https://aclanthology.org/2026.cl4health-1.15/)**Lucia Pitarch, Jordi Bernad, Sergio LUIS Ojeda Trueba et al.
32. **[Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRs](https://md.research.elamur.ai/free/en/papers/majeedi-2026-neural-archehr-qa-2026-one/)**Abrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy et al.*our summary*
33. **[OptiMed at ArchEHR-QA 2026: GEPA Prompt Optimization and Multi-Agent Majority Voting for EHR-Grounded Question Answering ↗](https://aclanthology.org/2026.cl4health-1.51/)**Feras AlMannaa, Talia Tseriotou, Maria Liakata
34. **[Overview of the ArchEHR-QA 2026 Shared Task on Grounded Question Answering from Electronic Health Records ↗](https://aclanthology.org/2026.cl4health-1.23/)**Sarvesh Soni, Dina Demner-Fushman
35. **[Overview of the CRF 2026 Shared Task on Clinical Case Report Forms Filling ↗](https://aclanthology.org/2026.cl4health-1.22/)**Pietro Ferrazzi, Soumitra Ghosh, Alberto Lavelli et al.
36. **[Overview of the CT-DEB'26 Shared Task on Predicting Dosing Errors in Interventional Clinical Trials ↗](https://aclanthology.org/2026.cl4health-1.21/)**Sohrab Ferdowsi, Félicien Hêche, Anthony Yazdani et al.
37. **[Patient-Specific Care Pathway Visualisation for Medical Nursing Staff ↗](https://aclanthology.org/2026.cl4health-1.11/)**Sophie Bauernfeind, Selina Adlberger, Oliver Krauss et al.
38. **[Polimi at CRF Filling 2026: Prompt-Based Information Extraction from Italian Clinical Notes](https://md.research.elamur.ai/free/en/papers/torri-2026-polimi-crf-filling-2026-prompt/)**Vittorio Torri, Francesca Ieva*our summary*
39. **[Razreshili at ArchEHR-QA 2026: Evidence Alignment via LLM Prompting and Cross-Encoder Fine-tuning ↗](https://aclanthology.org/2026.cl4health-1.49/)**Arina Zemchyk
40. **[Reasoning, Contrastive, and In-Context Strategies for Opioid Use Stage Detection on Social Media ↗](https://aclanthology.org/2026.cl4health-1.19/)**Vinu Ekanayake, Ramakanth Kavuluru
41. **[Scalable Generation of Adult-Oriented Therapeutic Reading Texts for Russian Aphasia Rehabilitation ↗](https://aclanthology.org/2026.cl4health-1.4/)**Anastasia Kolmogorova, Anastasia Margolina, Alina Telnova et al.
42. **[SimpliMED: Automatic Simplification of Cardiology Discharge Reports Using Large Language Models ↗](https://aclanthology.org/2026.cl4health-1.7/)**Lucas Molino-Piñar, Manuel Carlos Díaz Galiano, María-Teresa Martín-Valdivia et al.
43. **[Structured Radiology Intelligence: Extracting Structured Data from MRI Reports Using LLMs](https://md.research.elamur.ai/free/en/papers/marimuthu-2026-structured-radiology-intelligence-extracting-structured/)**Sushvin Marimuthu, Parameswari Krishnamurthy, Dipti Misra Sharma et al.*our summary*
44. **[TAMU-NLP at ArchEHR-QA 2026: Grounded Clinical QA with Evidence Identification and Intent-Aware Answer Generation](https://md.research.elamur.ai/free/en/papers/su-2026-tamu-nlp-archehr-qa-2026/)**Xinqi Su, Rongrong Wang, Sunyang Fu et al.*our summary*
45. **[TabMedQA: From Structured Data to Question-Answer Datasets in Early Clinical Decision-Making ↗](https://aclanthology.org/2026.cl4health-1.6/)**Gabriel Iturra Bocaz, Petra Galuščáková, Sol Gedde Vedde et al.
46. **[UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering ↗](https://aclanthology.org/2026.cl4health-1.45/)**Mohammad Arvan, Hossein Haeri, Natalie Parde et al.
47. **[Useful to Whom? A Persona-Driven Evaluation of Knowledge-Adapted Health Question Reformulation via LLM Simulation ↗](https://aclanthology.org/2026.cl4health-1.25/)**Jooyeon Lee, Luan Huy Pham, Özlem Uzuner
48. **[What Makes a Good Doctor Response? A Study on Text-Based Telemedicine ↗](https://aclanthology.org/2026.cl4health-1.12/)**Adrian Cosma, Cosmin Dumitrache, Emilian Radoi
49. **[WisPerMed at ArchEHR-QA 2026: Retrieval-Augmented Prompting for Grounded EHR Question Answering ↗](https://aclanthology.org/2026.cl4health-1.42/)**Jan-Henning Büns, Tabea Margareta Grace Pakull, Hendrik Damm et al.
50. **[Yale-DM-Lab at ArchEHR-QA 2026: Deterministic Grounding and Multi-Pass Evidence Alignment for EHR Question Answering ↗](https://aclanthology.org/2026.cl4health-1.48/)**Elyas Irankhah, Samah Fodeh
51. **[sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook ↗](https://aclanthology.org/2026.cl4health-1.43/)**Ibrahim Ebrar Yurt, Fabian Tobias Karl, Tejaswi Choppa et al.
52. **[sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF Filling](https://md.research.elamur.ai/free/en/papers/sommer-2026-sebis-crf-filling-2026-two/)**Katharina Sommer, Tristan Till, Florian Matthes*our summary*
53. **[tt501 at ArchEHR-QA 2026: Few-Shot Prompting with Retrieval-Augmented Generation for Grounded Clinical EHR Question Answering](https://md.research.elamur.ai/free/en/papers/tran-2026-tt501-archehr-qa-2026-few/)**Tai Tan Tran*our summary*
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