EHR QA

EHR: Electronic Health Record · QA: Question Answering

Latest papers

14 papers1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Evaluating Biomedical Reranking for LLM-Based Question Answering over Longitudinal Clinical Notes
Oct 1, 2026Maryam Shahbaz Ali, Laura B. Strachan, Caitlin Sherman +3Cross-Encoder Reranking Retrieval-Augmented Generation
Children’s National Hospital, Washington, DC, USA · University of Florida, Gainesville, FL, USA · George Washington University, Washington DC, USA
EHR-Complex: Benchmarking Medical Agents for Complex Clinical Reasoning
Jun 22, 2026Yitong Qiao, Lei Liu, Yue Shen +4AI Agent Benchmarks Clinical Reasoning
1Zhejiang University · †Work done during an internship at Ant Group. · 2Ant Group
Compositional Reasoning Depth Predicts Clinical AI Failure: Empirical Evidence Consistent with Transformer Compositionality Limits in Electronic Health Record Question Answering
Jun 15, 2026Sanjay BasuMulti-Hop QA Compositional Reasoning
Department of Medicine, University of California San Francisco, San Francisco, CA · Waymark, San Francisco, CA
EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
Jun 14, 2026Jiyoun Kim, Muhan Yeo, Eunhye Jang +14Clinical QA Evidence-Grounded Generation
KAIST · Seoul National University · Seoul National University Bundang Hospital +9
Evaluating the Utility of Personal Health Records in Personalized Health AI
May 18, 2026Rory Sayres, Kejia Chen, Ayush Jain +19LLM Personalization Healthcare
1Google Research · †Work done while at Google Research
ClinicalBench: Stress-Testing Assertion-Aware Retrieval for Cross-Admission Clinical QA on MIMIC-IV
May 11, 2026Alex StinardRAG Evaluation Clinical QA
Department of Clinical Sciences, College of Medicine · University of Central Florida, Orlando, FL 32816
Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRs
May 11, 2026Abrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy +1Healthcare Clinical QA
University of Wisconsin–Madison · University of Chicago · Independent Researcher
HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering
Apr 29, 2026Md Biplob Hosen, Md Alomgeer Hussein, Md Akmol Masud +3LLM Grounding Healthcare
University of Maryland Baltimore County, Baltimore, MD, USA · 2Jahangirnagar University, Savar, Dhaka, Bangladesh
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering
Apr 22, 2026Yuyu Liu, Sarang Rajendra Patil, Mengjia Xu +1Healthcare Hierarchical Representation Learning
Department of Computer Science, Stony Brook University · Department of Data Science, New Jersey Institute of Technology · Department of Biomedical Informatics, Stony Brook University
Yale-DM-Lab at ArchEHR-QA 2026: Deterministic Grounding and Multi-Pass Evidence Alignment for EHR Question Answering
Apr 8, 2026Elyas Irankhah, Samah FodehEHR QA Clinical QA
Yale University, Department of Emergency Medicine, New Haven, CT, USA
Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models
Mar 27, 2026Mikko Saukkoriipi, Nicole Hernandez, Jaakko Sahlsten +2EHR QA Clinical QA
Department of Computer Science, Aalto University School of Science, Espoo, 02150, Finland. · Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland. · Department of Oncology, TAYS Cancer Centrer, Tampere University Hospital, Tampere, 33520, Finland.
QU-NLP at ArchEHR-QA 2026: Two-Stage QLoRA Fine-Tuning of Qwen3-4B for Patient-Oriented Clinical Question Answering and Evidence Sentence Alignment
Mar 26, 2026Mohammad AL-SmadiClinical QA EHR QA
Qatar University Doha, Qatar
sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook
Mar 14, 2026Ibrahim Ebrar Yurt, Fabian Karl, Tejaswi Choppa +1EHR QA Clinical QA
Technical University of Munich, School of Computation, Information and Technology, Germany
FHIRPath-QA: Executable Question Answering over FHIR Electronic Health Records
Feb 26, 2026Michael Frew, Nishit Bheda, Bryan TrippEHR QA Clinical QA
University of British Columbia · University of Waterloo

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Evaluating Biomedical Reranking for LLM-Based Question Answering over Longitudinal Clinical Notes

Maryam Shahbaz Ali, Laura B. Strachan, Caitlin Sherman, Mark Kovler+2

Children’s National Hospital, Washington, DC, USA · University of Florida, Gainesville, FL, USA · George Washington University, Washington DC, USA

Cross-Encoder Reranking Retrieval-Augmented Generation Clinical QA Biomedical IR EHR QA

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Patient-specific clinical question answering requires locating the right evidence within long, heterogeneous longitudinal clinical records in which relevant facts may be scattered across encounters, repeated in copied-forward notes, or expressed using different clinical terminology. We evaluated whether biomedical reranking can improve evidence selection and downstream answer quality in a locally deployed retrieval-augmented generation pipeline for longitudinal clinical notes. The pipeline combines PubMedBERT dense retrieval, BM25 lexical retrieval, weighted reciprocal-rank fusion, and MedCPT cross-encoder reranking. Across 1,000 open- and closed-ended question-answer pairs from a cohort of 200 bariatric surgery patients, reranking increased exact source-chunk retrieval within the top 10 items, Hit@10 from 46.6% to 60.6% and mean reciprocal rank from 0.2371 to 0.3252. With Qwen3-8B generation, local judge-assessed answer correctness increased from 44.8% to 48.6%. These results show that biomedical reranking can improve the placement of relevant clinical evidence within a limited context window, although gains in retrieval do not translate proportionally into gains in answer correctness.