Electronic Health Records

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Period ending 2026-09-21

35 new papers

A weekly snapshot of new work published in Electronic Health Records.

Period ending 2026-09-14

29 new papers

A weekly snapshot of new work published in Electronic Health Records.

Period ending 2026-09-07

52 new papers

A weekly snapshot of new work published in Electronic Health Records.

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Clinical Prediction

Within Electronic Health Records

139 papersExplore

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Clinical Reasoning

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116 papersExplore

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Electronic Health Records

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109 papersExplore

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Clinical Decision Support

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Clinical Notes

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Healthcare

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Clinical

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Electronic Health Record Foundation Models

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Patient Trajectories

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51 papersExplore

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Real-World Clinical Workflows

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38 papersExplore

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Mimic-Iv Datasets

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30 papersExplore

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Longitudinal Patient Records

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28 papersExplore

747 papers

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GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval
May 20, 2026Peter Fernandes, Ria KanjilalGraph-Based Retrieval Augmented Generation Electronic Health Records
CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure
May 20, 2026Inna Wanyin Lin, Sahand Sabour, Hong Sng +4Simulated Patients Clinical Decision Support
MedExpMem: Adapting Experience Memory for Differential Diagnosis
May 20, 2026Qianhan Feng, Zhongzhen Huang, Yakun Zhu +4Clinical Reasoning Diagnostic Benchmark
CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support
May 19, 2026Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1Clinical Prediction Conformal Calibration
ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning
May 19, 2026Juncheng Wu, Letian Zhang, Yuhan Wang +5Real-World Clinical Workflows
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
May 19, 2026Guangzhi Xiong, Qiao Jin, Sanchit Sinha +2Medical Vision-Language Models Chest X-Ray
$M^3 QuestionIng$ : Multi-modal Multi-span Medical Question Answering
May 19, 2026Anisha Saha, Vaibhav Rathore, Abhisek Tiwari +3Medical Visual Question Answering Multimodal Query
TreeText-CTS: Compact, Source-Traceable Tree-Path Evidence for Irregular Clinical Time-Series Prediction
May 19, 2026Kwanhyung Lee, Juhwan Choi, Jongheon Kim +3Electronic Health Records Time-Series Classification
Prompting language influences diagnostic reasoning and accuracy of large language models
May 18, 2026Adrien Bazoge, Josselin Corvellec, Sofiane Djillali Sid-Ahmed +1Large Language Model Performance Clinical Decision Support
Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening
May 18, 2026Muskaan Chopra, Lorenz Sparrenberg, Jan H. Terheyden +1Interpretable Diabetic Retinopathy Grading Self-Supervised
What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models
May 18, 2026Payal Chandak, Victoria Alkin, David Wu +11Pluralistic Alignment Clinical Decision Support
Evaluating the Utility of Personal Health Records in Personalized Health AI
May 18, 2026Rory Sayres, Kejia Chen, Ayush Jain +19Electronic Health Records Clinical Decision Support
Distilling Tabular Foundation Models for Structured Health Data
May 18, 2026Aditya Tanna, Nassim Bouarour, Mohamed Bouadi +2Tabular Foundation Models Electronic Health Record Foundation Models
AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models
May 18, 2026Yuanyun Zhang, Shi LiElectronic Health Record Foundation Models Representation Learning
Domain Incremental Learning for Pandemic-Resilient Chest X-Ray Analysis
May 18, 2026Danu KimDomain Incremental Learning Chest Radiography
Medical Context Distorts Decisions in Clinical Vision Language Models
May 17, 2026David Restrepo, Ira Ktena, Maria Vakalopoulou +2Medical Vision-Language Models Clinical Decision Support
Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification
May 17, 2026Yang Wu, Xiaoyan Yuan, Hau-San Wong +1Electrocardiogram Classification Pediatric-Adult Electrocardiogram Alignment
How Do Electrocardiogram Models Scale?
May 17, 2026Jiawei Li, Fabio Bonassi, Ming Jin +4Electroencephalography Foundation Models Electronic Health Record Foundation Models
Artificial Intolerance: Stigmatizing Language in Clinical Documentation Skews Large Language Model Decision-Making
May 17, 2026Jen-tse Huang, Didi Zhou, Faith Kamau +5Large Language Model Bias Large Language Model Performance
SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
May 16, 2026Yongfeng Huang, Ruiying Chen, James ChengHievi-Rag Clinical Reasoning
Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
May 16, 2026Wei Tang, Jinpei Han, Kangning Cui +10Pediatric-Adult Electrocardiogram Alignment Electrocardiogram Classification
From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction
May 16, 2026Pujun Feng, Xiaoyu Guo, Seyed Ehsan Saffari +10Clinical Prediction Clinical Decision Support
A Multi-Dimensional Clustering Approach for Identifying Inborn Errors of Immunity
May 16, 2026Nishad Kulkarni, Alexandra K. Martinson, Nicholas L. Rider +2Rare Disease Disease Detection
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
May 15, 2026Haolin Chen, Deon Metelski, Leon Qi +30Healthcare Artificial Intelligence Agents
MedMIX: Modality-Internal Expert Fusion for Multimodal Medical Diagnosis
May 15, 2026Seungik Cho, Anqi Li, Wei QiuMultimodal Clinical Data Missing Modalities
Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search
May 15, 2026Sarah Martinson, Michael P. Brenner, Martyna Plomecka +3Epidemic Forecasting Clinical Prediction
Imitation learning for clinical decision support in pediatric ECMO
May 15, 2026Fateme Golivand, Michael Skinner, Saurabh Mathur +5Intensive Care Unit Clinical Decision Support
MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays
May 15, 2026Sunghwan Steve Cho, Yunseok Han, Jaeyoung DoChest X-Ray Chest Radiography
Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
May 14, 2026A H M Rezaul Karim, Ozlem UzunerClinical Notes Text Corpora
Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
May 14, 2026Sayantan Kumar, Shahriar Noroozizadeh, Juyong Kim +1Patient Trajectories Electronic Health Records
COTCAgent: Preventive Consultation via Probabilistic Chain-of-Thought Completion
May 14, 2026Zihan Deng, Xiaozhen Zhong, Chuanzhi XuElectronic Health Records Clinical Decision Support
Agentifying Patient Dynamics within LLMs through Interacting with Clinical World Model
May 14, 2026Minghao Wu, Yuting Yan, Zhenyang Cai +9Sepsis Simulated Patients
NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
May 14, 2026Konstantinos Kontras, Trui Osselaer, Stylianos G. Mouslech +12Electroencephalography Foundation Models Brain-Computer Interface
RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation
May 14, 2026Shuhao Chen, Weisen Jiang, Changmiao Wang +4Medication Recommendation Framework Clinical Reasoning
A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
May 14, 2026Tamunotonye Harry, Johanna Hidalgo, Matthew Price +7Remote Physiological Measurement Physiological Data
DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System
May 14, 2026Yunying Zhu, Andrew R Weckstein, Kueiyu Joshua Lin +1Electronic Health Record Foundation Models Clinical Prediction
Reducing cross-sample prediction churn in scientific machine learning
May 13, 2026Gordan Prastalo, Kevin Maik JablonkaCross Validation Churn Prediction
Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders
May 13, 2026William Lehn-Schiøler, Magnus Ruud Kjær, Rahul Thapa +10Electroencephalography Foundation Models Mechanistic Interpretability
MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling
May 13, 2026Hsing-Huan Chung, Shijun Li, Yoav Wald +3Electronic Health Records Time-Series Classification
RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation
May 13, 2026Chengzhi Shen, Weixiang Shen, Tobias Susetzky +8Intensive Care Unit Patient Trajectories
IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages
May 13, 2026Shubham Kumar Nigam, Suparnojit Sarkar, Piyush PatelConversational Datasets Multilingual Data
Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis
May 13, 2026Bo Cui, Xiaowen Song, Yaowen Zhang +4Electronic Health Record Foundation Models Wireless Foundation Models
Large Language Models Lack Temporal Awareness of Medical Knowledge
May 13, 2026Zihan Guan, Qiao Jin, Guangzhi Xiong +6Clinical Notes Evaluation Benchmarks
RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare
May 13, 2026Rohith Reddy Bellibatlu, Manpreet Singh, Yash Jajoo +2Clinical Decision Support Healthcare
A Non-Destructive Methodological Framework for Modernizing Legacy Clinical Reporting Systems for AI-Driven Pharmacoinformatics: A SAS Case Study
May 13, 2026Jaime YanMedical Report Generation Clinical Notes
Training Large Language Models to Predict Clinical Events
May 12, 2026Benjamin Turtel, Paul Wilczewski, Kris SkotheimClinical Prediction Longitudinal
CRAFT: Clinical Reward-Aligned Finetuning for Medical Image Synthesis
May 12, 2026Yunsung Chung, Alex El Darzi, Carlo El Khoury +3Medical Image Generation Clinical
EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records
May 12, 2026Saeed Shurrab, Mariam Al-Omari, Dana El Samad +1Electronic Health Record Foundation Models Electronic Health Records
Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
May 12, 2026M A Al-Masud, Nils StrodthoffElectroencephalography Foundation Models Electronic Health Record Foundation Models
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
May 12, 2026Mingcheng Zhu, Zhiyao Luo, Yu Liu +1Next-Token Prediction LLM Inference Efficiency
What Do EEG Foundation Models Capture from Human Brain Signals?
May 12, 2026Ling Tang, Qian Chen, Jilin Mei +6Electroencephalography Foundation Models Electroencephalography Spatial Super-Resolution
ABRA: Agent Benchmark for Radiology Applications
May 11, 2026Bulat Maksudov, Vladislav Kurenkov, Kathleen M. Curran +1Radiology Report Generation Agentic Benchmarks
Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation
May 11, 2026Kedi Sun, Chaohui Dang, Yue Feng +3Surgical Videos Video Temporal Grounding
ClinicalBench: Stress-Testing Assertion-Aware Retrieval for Cross-Admission Clinical QA on MIMIC-IV
May 11, 2026Alex StinardClinical Reasoning Diagnostic Benchmark
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 +1Electronic Health Records Data Generation
Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
May 11, 2026Yixuan Yang, Mehak Arora, Ryan Zhang +10Joint-Embedding Predictive Architectures Patient Trajectories
CLEF: EEG Foundation Model for Learning Clinical Semantics
May 11, 2026Peng Cao, Ali Mirzazadeh, Jong Woo Lee +2Electroencephalography Foundation Models Electronic Health Record Foundation Models
RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology
May 11, 2026Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou +3Medical Visual Question Answering Clinical Reasoning
AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks
May 11, 2026Baraa Al Jorf, Farah E. ShamoutMultimodal Clinical Data Multimodal Agents
Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging
May 11, 2026Zubair Faruqui, Rahul DubeyModel Interpretability Multiple Instance Learning

May 20, 2026 · cs.CLJ/K move · Enter open · S save

GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval

Peter Fernandes, Ria Kanjilal

Department of Computer Engineering California Polytechnic State University San Luis Obispo, CA, USA

Graph-based Retrieval Augmented Generation (GraphRAG) extends retrieval-augmented generation to support structured reasoning over complex corpora, but its reliability under resource-constrained, privacy-sensitive deployments remains unclear. In healthcare, where Electronic Health Record (EHR) data is complex and strictly regulated, reliance on cloud-based large language models (LLMs) introduces challenges in cost, latency, and compliance. In this work, we present a systematic evaluation of GraphRAG for EHR schema retrieval using locally deployed open-source LLMs. We implement the Microsoft GraphRAG pipeline on real-world EHR schema documentation and benchmark four models, including Llama 3.1 (8B), Mistral (7B), Qwen 2.5 (7B), and Phi-4-mini (3.8B), each deployed via Ollama on a single consumer GPU (8 GB VRAM). We evaluate indexing efficiency, knowledge graph construction, query latency, answer quality, and hallucination under both global and local retrieval modes. Our results reveal substantial differences: Llama 3.1 produces the richest knowledge graph (1,172 entities), Qwen 2.5 achieves the best answer quality (3.3/5), Phi-4-mini fails to complete the pipeline due to structured-output errors, and Mistral exhibits degenerate repetition behavior. We further show that GraphRAG exhibits a practical capacity threshold, where models below approximately 7B parameters fail to reliably produce valid structured outputs and cannot complete the pipeline. In addition, indexing and answer quality are decoupled across models, and local retrieval consistently outperforms global summarization in both latency and factual grounding, with reduced hallucination. These findings demonstrate that GraphRAG is feasible on consumer hardware while highlighting the importance of model selection and retrieval design for robust deployment in regulated settings.

Graph-Based Retrieval Augmented Generation Electronic Health Records Knowledge Graphs Large Language Consumer Hardware

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