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Question Answering for Electronic Health Records: Scoping Review of Datasets and Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jamanetworkopen.2021.0184openalex-snapshot
Assessing Missing Data Assumptions in EHR-Based Studies: A Complex and Underappreciated Task
inferredcites →https://doi.org/10.1002/pds.4850openalex-snapshot
Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.
inferredcites →https://doi.org/10.1007/978-3-030-84186-7_31openalex-snapshot
A Robustly Optimized BERT Pre-training Approach with Post-training
inferredcites →https://doi.org/10.1007/978-3-030-91699-2_10openalex-snapshot
Experiments on Portuguese Clinical Question Answering
inferredcites →https://doi.org/10.1007/s00330-023-09977-3openalex-snapshot
Information extraction from weakly structured radiological reports with natural language queries
inferredcites →https://doi.org/10.1016/j.cmpb.2009.10.003openalex-snapshot
Biomedical question answering: A survey
inferredcites →https://doi.org/10.1016/j.ijmedinf.2021.104628openalex-snapshot
Fine-grained spatial information extraction in radiology as two-turn question answering
inferredcites →https://doi.org/10.1016/j.jbi.2011.11.008openalex-snapshot
An ontology for clinical questions about the contents of patient notes
inferredcites →https://doi.org/10.1016/j.jbi.2015.07.020openalex-snapshot
Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus
inferredcites →https://doi.org/10.1038/s41597-022-01899-xopenalex-snapshot
MIMIC-IV, a freely accessible electronic health record dataset
inferredcites →https://doi.org/10.1038/s41746-022-00742-2openalex-snapshot
A large language model for electronic health records
inferredcites →https://doi.org/10.1038/s43856-024-00470-6openalex-snapshot
Question-answering system extracts information on injection drug use from clinical notes
inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-snapshot
MIMIC-III, a freely accessible critical care database
inferredcites →https://doi.org/10.1038/sdata.2018.178openalex-snapshot
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
inferredcites →https://doi.org/10.1093/bioinformatics/btz682openalex-snapshot
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
inferredcites →https://doi.org/10.1093/jamia/ocaa269openalex-snapshot
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets
inferredcites →https://doi.org/10.1093/jamia/ocac225openalex-snapshot
A comparative study of pretrained language models for long clinical text
inferredcites →https://doi.org/10.1093/jamia/ocad050openalex-snapshot
quEHRy: a question answering system to query electronic health records
inferredcites →https://doi.org/10.1093/jamia/ocz152openalex-snapshot
Consumer health information and question answering: helping consumers find answers to their health-related information needs
inferredcites →https://doi.org/10.1093/jamiaopen/ooab011openalex-snapshot
Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
inferredcites →https://doi.org/10.1093/jamiaopen/ooz072openalex-snapshot
Adapting and evaluating a deep learning language model for clinical why-question answering
inferredcites →https://doi.org/10.1101/2021.11.10.21266184openalex-snapshot
DiagnosisQA: A semi-automated pipeline for developing clinician validated diagnosis specific QA datasets
inferredcites →https://doi.org/10.1109/bibm52615.2021.9669300openalex-snapshot
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
inferredcites →https://doi.org/10.1109/cbms.2019.00102openalex-snapshot
Fostering Natural Language Question Answering Over Knowledge Bases in Oncology EHR
inferredcites →https://doi.org/10.1109/ichi54592.2022.00017openalex-snapshot
Effects of Information Masking in the Task-Specific Finetuning of a Transformers-Based Clinical Question-Answering Framework
inferredcites →https://doi.org/10.1109/jbhi.2021.3095478openalex-snapshot
A Unified Machine Reading Comprehension Framework for Cohort Selection
inferredcites →https://doi.org/10.1136/amiajnl-2011-000784openalex-snapshot
Evaluating the state of the art in coreference resolution for electronic medical records
inferredcites →https://doi.org/10.1136/jamia.2010.003947openalex-snapshot
Extracting medication information from clinical text
inferredcites →https://doi.org/10.1136/jamia.2010.004200openalex-snapshot
Community annotation experiment for ground truth generation for the i2b2 medication challenge
inferredcites →https://doi.org/10.1145/3366423.3380120openalex-snapshot
Text-to-SQL Generation for Question Answering on Electronic Medical Records
inferredcites →https://doi.org/10.1145/3410530.3414436openalex-snapshot
Improving fine-tuned question answering models for electronic health records
inferredcites →https://doi.org/10.1145/3535508.3545518openalex-snapshot
Attention-based aspect reasoning for knowledge base question answering on clinical notes
inferredcites →https://doi.org/10.1197/jamia.m2408openalex-snapshot
Identifying Patient Smoking Status from Medical Discharge Records
inferredcites →https://doi.org/10.1197/jamia.m3115openalex-snapshot
Recognizing Obesity and Comorbidities in Sparse Data
inferredcites →https://doi.org/10.13063/2327-9214.1035openalex-snapshot
Strategies for Handling Missing Data in Electronic Health Record Derived Data
inferredcites →https://doi.org/10.1609/aaai.v38i20.30205openalex-snapshot
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.410openalex-snapshot
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
inferredcites →https://doi.org/10.18653/v1/2020.bionlp-1.12openalex-snapshot
Entity-Enriched Neural Models for Clinical Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.clinicalnlp-1.13openalex-snapshot
How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset
inferredcites →https://doi.org/10.18653/v1/2020.clinicalnlp-1.30openalex-snapshot
Advancing Seq2seq with Joint Paraphrase Learning
inferredcites →https://doi.org/10.18653/v1/2021.bionlp-1.7openalex-snapshot
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset
inferredcites →https://doi.org/10.18653/v1/2022.bionlp-1.42openalex-snapshot
Towards Generalizable Methods for Automating Risk Score Calculation
inferredcites →https://doi.org/10.18653/v1/2022.clinicalnlp-1.8openalex-snapshot
Learning to Ask Like a Physician
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.379openalex-snapshot
KALA: Knowledge-Augmented Language Model Adaptation
inferredcites →https://doi.org/10.18653/v1/d15-1166openalex-snapshot
Effective Approaches to Attention-based Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/d18-1258openalex-snapshot
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
inferredcites →https://doi.org/10.18653/v1/d18-1425openalex-snapshot
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
inferredcites →https://doi.org/10.18653/v1/d18-2002openalex-snapshot
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
inferredcites →https://doi.org/10.18653/v1/p18-1068openalex-snapshot
Coarse-to-Fine Decoding for Neural Semantic Parsing
inferredcites →https://doi.org/10.18653/v1/p19-1139openalex-snapshot
ERNIE: Enhanced Language Representation with Informative Entities
inferredcites →https://doi.org/10.18653/v1/w19-1913openalex-snapshot
Annotating and Characterizing Clinical Sentences with Explicit Why-
inferredcites →https://doi.org/10.18653/v1/w19-5003openalex-snapshot
A Paraphrase Generation System for EHR Question Answering
inferredcites →https://doi.org/10.21203/rs.3.rs-2566942/v1openalex-snapshot
Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model
inferredcites →https://doi.org/10.2196/32698openalex-snapshot
A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation
inferredcites →https://doi.org/10.2196/41818openalex-snapshot
Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study
inferredcites →https://doi.org/10.24963/ijcai.2017/579openalex-snapshot
Bilateral Multi-Perspective Matching for Natural Language Sentences
inferredcites →https://doi.org/10.3390/app11125456openalex-snapshot
A Review on Medical Textual Question Answering Systems Based on Deep Learning Approaches
inferredcites →https://doi.org/10.48550/arxiv.1611.01603openalex-snapshot
Bidirectional Attention Flow for Machine Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1805.06816openalex-snapshot
Annotating Electronic Medical Records for Question Answering
inferredcites →https://doi.org/10.48550/arxiv.2211.04569openalex-snapshot
Toward a Neural Semantic Parsing System for EHR Question Answering
inferredcites →https://doi.org/10.48550/arxiv.2302.08091openalex-snapshot
Do We Still Need Clinical Language Models?
inferredcites →https://doi.org/10.48550/arxiv.2303.12898openalex-snapshot
Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets
inferredcites →https://doi.org/10.63317/5abhwgueouzgopenalex-snapshot
Annotating Logical Forms for EHR Questions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/eng2.70365openalex-snapshot
Systematic Literature Review of LLM‐Large Language Model in Medical: Digital Health, Technology and Applications
inferred← citeshttps://doi.org/10.1007/978-3-032-05377-0_9openalex-snapshot
Natural Language Querying for Clinical Information Extraction
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Elevating Drug Safety Oversight: A Comprehensive Examination of Dynamic and Static Monitoring Systems across the United States, European Union, and India
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A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization.
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LLM-driven collaborative framework for knowledge-enhanced cancer pain assessment and management
inferred← citeshttps://doi.org/10.1038/s41746-026-02567-9openalex-snapshot
Structured taxonomy and framework for developing medical benchmark in large language models derived from scoping review
inferred← citeshttps://doi.org/10.1109/icdmw69685.2025.00007openalex-snapshot
Two-Stage Hierarchical Medical Text Classification Using Bio_ClinicalBERT
inferred← citeshttps://doi.org/10.1109/nnice68970.2026.11466199openalex-snapshot
A Knowledge-Enhanced RAG Framework with Re-ranking and Chain-of-Thought Reasoning for Cardiovascular Disease Question Answering Using Large Language Models
inferred← citeshttps://doi.org/10.1145/3772363.3798870openalex-snapshot
Dr.Ei: A Two-Stage, Multi-Agent, Multimodal Clinical Decision Support Workflow for Clinician Sensemaking
inferred← citeshttps://doi.org/10.1186/s12911-025-03178-2openalex-snapshot
The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study
inferred← citeshttps://doi.org/10.1371/journal.pdig.0001634openalex-snapshot
Assisting patients with reliable information gathering: A guide to building efficient QA systems for medical use
inferred← citeshttps://doi.org/10.2196/70080openalex-snapshot
Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study
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