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This paper is in the following e-collection/theme issue:

Clinical Informatics (1458) Clinical Information and Decision Making (2105) Information Retrieval (364) Natural Language Processing (971) Big Data (318) Electronic Health Records (1393) eHealth Infrastructures (444)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53636, first published .
Question Answering for Electronic Health Records: Scoping Review of Datasets and Models

Question Answering for Electronic Health Records: Scoping Review of Datasets and Models

Question Answering for Electronic Health Records: Scoping Review of Datasets and Models

Authors of this article:

Jayetri Bardhan1 Author Orcid Image ;   Kirk Roberts2 Author Orcid Image ;   Daisy Zhe Wang1 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

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  1. Yang H, Li M, Zhou H, Xiao Y, Fang Q, Zhou S, Zhang R. Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study. Journal of Medical Internet Research 2025;27:e70080 View
  2. Salehin I, Tomal Ahmed Sajib M, Huda Badhon N, Sakibul Hassan Rifat M, Amin N, Nessa Moon N. Systematic Literature Review of LLM‐Large Language Model in Medical: Digital Health, Technology and Applications. Engineering Reports 2025;7(9) View
  3. da Silva R, Pazin-Filho A. The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study. BMC Medical Informatics and Decision Making 2025;25(1) View
  4. N D, George R, Juturi R, Haidary B, Naik P, Goudanavar P. Elevating Drug Safety Oversight: A Comprehensive Examination of Dynamic and Static Monitoring Systems across the United States, European Union, and India. Journal of Pharmaceutical Innovation 2026;21(1) View
  5. Liu H, Hu Y, Li D, Shi B, Niu Y, Zhang X, Zheng G, Li C, Wang L, Bao Y. LLM-driven collaborative framework for knowledge-enhanced cancer pain assessment and management. npj Digital Medicine 2026;9(1) View
  6. Soni S, Demner-Fushman D. A Dataset for Addressing Patient’s Information Needs related to Clinical Course of Hospitalization. Scientific Data 2026;13(1) View
  7. Lee J, Shin J, Cho B. Structured taxonomy and framework for developing medical benchmark in large language models derived from scoping review. npj Digital Medicine 2026 View

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Conference Proceedings

  1. Keya M, Mahnoor F, Blazanovic D, Hasan M, Dai R, Wang S. 2025 IEEE International Conference on Data Mining Workshops (ICDMW). Two-Stage Hierarchical Medical Text Classification Using Bio_ClinicalBERT View
  2. Lu H, Wang S, Liu Z. 2026 6th International Conference on Neural Networks, Information and Communication Engineering (NNICE). A Knowledge-Enhanced RAG Framework with Re-ranking and Chain-of-Thought Reasoning for Cardiovascular Disease Question Answering Using Large Language Models View
  3. Chen C, Kuo P, Huang S, Li Y, Lo H. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. Dr.Ei: A Two-Stage, Multi-Agent, Multimodal Clinical Decision Support Workflow for Clinician Sensemaking View