ArticleBMC medical informatics and decision making2022
Evaluation of Doc'EDS: a French semantic search tool to query health documents from a clinical data warehouse.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
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- Cancer Cachexia Prevalence Is Underestimated in Medical Records of Patients in a Regional Tertiary Hospital.Journal of cachexia, sarcopenia and muscle · 2026Article
- Development and validation of an interpretable predictive machine learning model for successful weaning of continuous renal replacement therapy.Scientific reports · 2025Observational
- A french real-world experience with cenobamate in patients with drug-resistant focal epilepsy: A retrospective observational study.Epilepsy & behavior reports · 2025Article
- Ventricular Subgaleal Shunt in Children Under Three Months of Age, from Diagnosis to Outcome: A Review After 11 Years of Experience in a French University Hospital.Children (Basel, Switzerland) · 2025Article
- Integrating Health Care Data in an Informatics for Integrating Biology & the Bedside (i2b2) Model Persisted Through Elasticsearch: Design, Implementation, and Evaluation in a French University Hospital.JMIR medical informatics · 2025Article
- Unraveling Ceftriaxone Dosing: Free Drug Prediction, Threshold Optimization, and Model Validation.The AAPS journal · 2025Article
- Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study.JMIR medical informatics · 2024Article
- Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: methods and application to STOPP/START v2.BMC medical informatics and decision making · 2024Article
- Implementing a Biomedical Data Warehouse From Blueprint to Bedside in a Regional French University Hospital Setting: Unveiling Processes, Overcoming Challenges, and Extracting Clinical Insight.JMIR medical informatics · 2024Article
- Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review.JMIR medical informatics · 2023Review
- Correction to: 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
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnstructured data from electronic health records represent a wealth of information. Doc'EDS is a pre-screening tool based on textual and semantic analysis. The Doc'EDS system provides a graphic user interface to search documents in French. The aim of this study was to present the Doc'EDS tool and to provide a formal evaluation of its semantic features.
methodsDoc'EDS is a search tool built on top of the clinical data warehouse developed at Rouen University Hospital. This tool is a multilevel search engine combining structured and unstructured data. It also provides basic analytical features and semantic utilities. A formal evaluation was conducted to measure the impact of Natural Language Processing algorithms.
resultsApproximately 18.1 million narrative documents are stored in Doc'EDS. The formal evaluation was conducted in 5000 clinical concepts that were manually collected. The F-measures of negative concepts and hypothetical concepts were respectively 0.89 and 0.57.
conclusionIn this formal evaluation, we have shown that Doc'EDS is able to deal with language subtleties to enhance an advanced full text search in French health documents. The Doc'EDS tool is currently used on a daily basis to help researchers to identify patient cohorts thanks to unstructured data.
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