ArticleApplied clinical informatics2014
An information retrieval system for computerized patient records in the context of a daily hospital practice: the example of the Léon Bérard Cancer Center (France).
Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Review
- 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
- Leveraging medical context to recommend semantically similar terms for chart reviews.BMC medical informatics and decision making · 2021Article
- Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review.Applied clinical informatics · 2021Article
- Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study.Journal of medical Internet research · 2021Article
- Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation.JMIR medical informatics · 2020Article
- What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions.JMIR formative research · 2020Review
- Assessment of Electronic Health Record Search Patterns and Practices by Practitioners in a Large Integrated Health Care System.JAMA network open · 2020Article
- Test collections for electronic health record-based clinical information retrieval.JAMIA open · 2019Article
- Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients.Journal of healthcare informatics research · 2019Article
- Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification.BMC medical informatics and decision making · 2019Article
- Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews.Journal of biomedical informatics · 2018Article
- Effectiveness of a computerised system of patient education in clinical practice: a longitudinal nested cohort study.BMJ open · 2018Article
- Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.Journal of biomedical informatics · 2017Article
- Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).Journal of biomedical informatics · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA full-text search tool was introduced into the daily practice of Léon Bérard Center (France), a health care facility devoted to treatment of cancer. This tool was integrated into the hospital information system by the IT department having been granted full autonomy to improve the system.
objectivesTo describe the development and various uses of a tool for full-text search of computerized patient records.
methodsThe technology is based on Solr, an open-source search engine. It is a web-based application that processes HTTP requests and returns HTTP responses. A data processing pipeline that retrieves data from different repositories, normalizes, cleans and publishes it to Solr, was integrated in the information system of the Leon Bérard center. The IT department developed also user interfaces to allow users to access the search engine within the computerized medical record of the patient.
resultsFrom January to May 2013, 500 queries were launched per month by an average of 140 different users. Several usages of the tool were described, as follows: medical management of patients, medical research, and improving the traceability of medical care in medical records. The sensitivity of the tool for detecting the medical records of patients diagnosed with both breast cancer and diabetes was 83.0%, and its positive predictive value was 48.7% (gold standard: manual screening by a clinical research assistant).
conclusionThe project demonstrates that the introduction of full-text-search tools allowed practitioners to use unstructured medical information for various purposes.
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