TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection.

Purpose: Regulatory authorities including the Food and Drug Administration and the European Medicines Agency are encouraging to conduct clinical trials using routinely collected data. The aim of the TransFAIR experimental comparison was to evaluate, within real-life conditions, the ability of the Electronic Health Records to Electronic Data Capture (EHR2EDC) module to accurately transfer from EHRs to EDC systems patients' data of clinical studies in various therapeutic areas.

Methods: A prospective study including six clinical trials from three different sponsors running in three hospitals across Europe has been conducted.

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in Urologic Cancers.

Purpose: To compare the computability of Observational Medical Outcomes Partnership (OMOP)-based queries related to prescreening of patients using two versions of the OMOP common data model (CDM; v5.3 and v5.4) and to assess the performance of the Greater Paris University Hospital (APHP) prescreening tool.

Reliability of Drug-Drug Interaction Measurement on Real-Word Data: The ReMIAMes Project.

The ReMIAMes project proposes a methodological framework to provide a reliable and reproducible measurement of the frequency of drug-drug interactions (DDI) when performed on real-world data. This framework relies on (i) a fine-grained and contextualized definition of DDIs, (ii) a shared minimum information model to select the appropriate data for the correct interpretation of potential DDIs, (iii) an ontology-based inference module able to handle missing data to classify prescription lines with potential DDIs, (iv) a report generator giving the value of the measurement and explanations when potential false positive are detected due to a lack of available data. All the tools developed are intended to be publicly shared under open license.

AP-HP Health Data Space (AHDS) to the Test of the Covid-19 Pandemic.

Unlabelled: Sharing observational and interventional health data within a common data space enables university hospitals to leverage such data for biomedical discovery and moving towards a learning health system.

Objective: To describe the AP-HP Health Data Space (AHDS) and the IT services supporting piloting, research, innovation and patient care.

Methods: Built on three pillars - governance and ethics, technology and valorization - the AHDS and its major component, the Clinical Data Warehouse (CDW) have been developed since 2015.

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.

We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries (www.covidclinical.

Performances of a Solution to Semi-Automatically Fill eCRF with Data from the Electronic Health Record: Protocol for a Prospective Individual Participant Data Meta-Analysis.

Clinical trial data collection still relies on a manual entry from information available in the medical record. This process introduces delay and error risk. Automating data transfer from Electronic Health Record (EHR) to Electronic Data Capture (EDC) system, under investigators' supervision, would gracefully solve these issues.

Identification of the Best Semantic Expansion to Query PubMed Through Automatic Performance Assessment of Four Search Strategies on All Medical Subject Heading Descriptors: Comparative Study.

Background: With the continuous expansion of available biomedical data, efficient and effective information retrieval has become of utmost importance. Semantic expansion of queries using synonyms may improve information retrieval.

Objective: The aim of this study was to automatically construct and evaluate expanded PubMed queries of the form "preferred term"[MH] OR "preferred term"[TIAB] OR "synonym 1"[TIAB] OR "synonym 2"[TIAB] OR …, for each of the 28,313 Medical Subject Heading (MeSH) descriptors, by using different semantic expansion strategies.

Performance evaluation of three semantic expansions to query PubMed.

Background: PubMed is one of the most important basic tools to access medical literature. Semantic query expansion using synonyms can improve retrieval efficacy.

Objective: The objective was to evaluate the performance of three semantic query expansion strategies.

Impact on medical practice of accessing pharmaceutical records.

Introduction: The pharmaceutical record system (PRS) is a French nationwide centralized electronic database shared among all community pharmacists listing all drugs dispensed by community pharmacists in the last four months. The objective of this study, the Medication Assessment Through Real time Information eXchange - Distributed Pharmaceutical Record System (MATRIX - DPRS) study, was to assess the clinical impact of the PRS upon granting access to physicians in three hospital specialties: anesthesiology, emergency medicine and geriatrics.

Material And Methods: A multicenter prospective study was conducted in six hospital departments, two per specialty.

Initializing a hospital-wide data quality program. The AP-HP experience.

Background And Objectives: Data Quality (DQ) programs are recognized as a critical aspect of new-generation research platforms using electronic health record (EHR) data for building Learning Healthcare Systems. The AP-HP Clinical Data Repository aggregates EHR data from 37 hospitals to enable large-scale research and secondary data analysis. This paper describes the DQ program currently in place at AP-HP and the lessons learned from two DQ campaigns initiated in 2017.

Terminology Coverage from Semantic Annotated Health Documents.

Background: Unstructured health documents (e.g. discharge summaries) represent an important and unavoidable source of information.

Lost in translation? A multilingual Query Builder improves the quality of PubMed queries: a randomised controlled trial.

Background: MEDLINE is the most widely used medical bibliographic database in the world. Most of its citations are in English and this can be an obstacle for some researchers to access the information the database contains. We created a multilingual query builder to facilitate access to the PubMed subset using a language other than English.

Evaluation of the Terminology Coverage in the French Corpus LiSSa.

Extracting concepts from medical texts is a key to support many advanced applications in medical information retrieval. Entity recognition in French texts is moreover challenged by the availability of many resources originally developed for English texts. This paper proposes an evaluation of the terminology coverage in a corpus of 50,000 French articles extracted from the bibliographic database LiSSa.

Querying EHRs with a Semantic and Entity-Oriented Query Language.

While the digitization of medical documents has greatly expanded during the past decade, health information retrieval has become a great challenge to address many issues in medical research. Information retrieval in electronic health records (EHR) should also reduce the difficult tasks of manual information retrieval from records in paper format or computer. The aim of this article was to present the features of a semantic search engine implemented in EHRs.

Behavior and attitudes of residents and general practitioners in searching for health information: From intention to practice.

Background: Physicians are increasingly encouraged to practice evidence-based medicine (EBM), and their decisions require evidence based on valid research. Existing literature shows a mismatch between general practitioners' (GPs) information needs and evidence available online. The aim of this study was to explore the attitudes and behavior of residents in general medicine and GPs when seeking medical information online.

Influence of author's affiliation and funding sources on the results of cohort studies on occupational cancer.

Background: Reliability and credibility of research conducted by industry have been questioned, including in the field of occupational health.

Methods: Cohort studies on occupational cancer published between 2000 and 2010 were compared according to their results, their conclusions, their funding, and the affiliation of their authors.

Results: Overall, 510 articles were included.

Quality indicators from laboratory and radiology information systems.

Consequences of the computerization of laboratory and radiology information system (LIS and RIS) are not well documented. The aim of this study was to evaluate the impact of computerization of LIS and RIS of four hospitals on performance and quality of care. The study was divided into three phases.

A search engine to access PubMed monolingual subsets: proof of concept and evaluation in French.

Background: PubMed contains numerous articles in languages other than English. However, existing solutions to access these articles in the language in which they were written remain unconvincing.

Objective: The aim of this study was to propose a practical search engine, called Multilingual PubMed, which will permit access to a PubMed subset in 1 language and to evaluate the precision and coverage for the French version (Multilingual PubMed-French).

Preservation of information in terminology transcoding.

Linking interface terminologies (IT) to reference terminologies (RT) in flow of terminologies may allow health information system to be both usable and interoperable. Two French university hospitals worked independently on such a flow from the prescription of lab-test to the display of the corresponding results. The aim of this study was to evaluate the transmission of information in these two hospitals communication.

Design and usability study of an iconic user interface to ease information retrieval of medical guidelines.

Background And Objective: Doc'CISMeF (DC) is a semantic search engine used to find resources in CISMeF-BP, a quality controlled health gateway, which gathers guidelines available on the internet in French. Visualization of Concepts in Medicine (VCM) is an iconic language that may ease information retrieval tasks. This study aimed to describe the creation and evaluation of an interface integrating VCM in DC in order to make this search engine much easier to use.

Evaluating alignment quality between iconic language and reference terminologies using similarity metrics.

Background: Visualization of Concepts in Medicine (VCM) is a compositional iconic language that aims to ease information retrieval in Electronic Health Records (EHR), clinical guidelines or other medical documents. Using VCM language in medical applications requires alignment with medical reference terminologies. Alignment from Medical Subject Headings (MeSH) thesaurus and International Classification of Diseases - tenth revision (ICD10) to VCM are presented here.

Translating MeSH concepts.

The concept-oriented structure of the MeSH® thesaurus is not yet in common use. Nevertheless, it has been shown that a concept-based querying of PubMed may be of interest. To take full advantage of the concept-oriented structure of MeSH in the information retrieval tool associated with the CISMeF catalogue, it was necessary to translate such concepts into French.