ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2014
How essential are unstructured clinical narratives and information fusion to clinical trial recruitment?
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed.
- Review
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- Leveraging free-text clinical records for heart disease classification through structured feature mapping.PloS one · 2026Article
- OphthaBERT: Automated Glaucoma Diagnosis from Clinical Notes.medRxiv : the preprint server for health sciences · 2025Article
- Optimized BERT-based NLP outperforms zero-shot methods for automated symptom detection in clinical practice.Frontiers in digital health · 2025Article
- Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- A review of research on eligibility criteria for clinical trials.Clinical and experimental medicine · 2023Review
- Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership.JMIR formative research · 2022Article
- How can natural language processing help model informed drug development?: a review.JAMIA open · 2022Review
- Evaluation of Doc'EDS: a French semantic search tool to query health documents from a clinical data warehouse.BMC medical informatics and decision making · 2022Article
- Electronic Health Record (EHR) Abstraction.Perspectives in health information managemen · 2021Article
- Nutrition Information in Oncology - Extending the Electronic Patient-Record Data Set.Journal of medical systems · 2020Article
- Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research.JCO clinical cancer informatics · 2020Article
- Building a Semantic Health Data Warehouse in the Context of Clinical Trials: Development and Usability Study.JMIR medical informatics · 2019Article
- Feasibility analysis of conducting observational studies with the electronic health record.BMC medical informatics and decision making · 2019Article
- Next generation phenotyping using narrative reports in a rare disease clinical data warehouse.Orphanet journal of rare diseases · 2018Article
- Design of an extensive information representation scheme for clinical narratives.Journal of biomedical semantics · 2017Article
- Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.Journal of cardiovascular translational research · 2017Article
- Automatic data source identification for clinical trial eligibility criteria resolution.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Electronic health records capture patient information using structured controlled vocabularies and unstructured narrative text. While structured data typically encodes lab values, encounters and medication lists, unstructured data captures the physician's interpretation of the patient's condition, prognosis, and response to therapeutic intervention. In this paper, we demonstrate that information extraction from unstructured clinical narratives is essential to most clinical applications. We perform an empirical study to validate the argument and show that structured data alone is insufficient in resolving eligibility criteria for recruiting patients onto clinical trials for chronic lymphocytic leukemia (CLL) and prostate cancer. Unstructured data is essential to solving 59% of the CLL trial criteria and 77% of the prostate cancer trial criteria. More specifically, for resolving eligibility criteria with temporal constraints, we show the need for temporal reasoning and information integration with medical events within and across unstructured clinical narratives and structured data.
Identifiers
25717416PMC4333685What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.