Trends in computerized provider order entry: 20-year bibliometric overview

BackgroundDrug-related problems (DRPs) can lead to serious health issues and have significant economic impacts on healthcare systems. One solution to address this issue is the use of computerized physician order entry systems (CPOE), which can help prevent DRPs by reducing the risk of medication errors.ObjectiveThe purpose of this study is to provide an analysis on scientific production of the past 20 years in order to describe trends in academic publishing on CPOE and to identify the major topics as well as the predominant actors (journals, countries) involved in this field.MethodsA PubMed search was carried out to extract articles related to computerized provider order entry during the period January 1st 2003– December 31st 2022 using a specific query. Data were downloaded from PubMed in Extensible Markup Language (XML) and were processed through a dedicated parser.ResultsA total of 2,946 articles were retrieved among 623 journals. One third of these articles were published in eight journals. Publications grew strongly from 2002 to 2006, with a dip in 2008 followed by an increase again in 2009. After 2009, there follows a decreasing until 2022.The most producing countries are the USA with 51.39% of the publication over the period by France (3.80%), and Canada (3.77%). About disciplines, the top 3 is: “medical informatics” (21.62% of articles), “pharmacy” (19.04%), and “pediatrics” (6.56%).DiscussionThis study provides an overview of publication trends related to CPOE, which exhibited a significant increase in the first decade of the 21st century followed by a decline after 2009. Possible reasons for this decline include the emergence of digital health tools beyond CPOE, as well as healthcare professionals experiencing alert fatigue of the current system.ConclusionFuture research should focus on analyzing publication trends in the field of medical informatics and decision-making tools to identify other areas of interest that may have surpassed the development of CPOE

Performance evaluation of unified medical language system®'s synonyms expansion to query PubMed

<p>Abstract</p> <p>Background</p> <p>PubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered under one unique Concept Unique Identifier.</p> <p>Methods</p> <p>This method was evaluated using queries constructed to emphasize the differences between this new method and the current PubMed automatic term mapping. Four experts assessed citation relevance.</p> <p>Results</p> <p>Using UMLS, we were able to retrieve new citations in 45.5% of queries, which implies a small increase in recall. The new strategy led to a heterogeneous 23.7% mean increase in non-indexed citation retrieved. Of these, 82% have been published less than 4 months earlier. The overall mean precision was 48.4% but differed according to the evaluators, ranging from 36.7% to 88.1% (Inter rater agreement was poor: kappa = 0.34).</p> <p>Conclusions</p> <p>This study highlights the need for specific search tools for each type of user and use-cases. The proposed strategy may be useful to retrieve recent scientific advancement.</p

IA au sein d’un entrepôt de données de santé à Rouen

Depuis 5 ans, le département de l’informatique et de l’information médicales (D2IM) du CHU de Rouen développe un entrepôt de santé, mis à disposition de la communauté des professionnels de santé. Plus de 170 cas d’usage ont été réalisés, dépassant largement la recherche clinique, pour aller vers le calcul semi-automatique d’indicateurs de qualité, la détection de cas de pharmacovigilance ou de prescription hors autorisation de mise sur le marché par exemple, sans oublier plus récemment la détection des patients éligibles à la vaccination anti-COVID. Le D2IM se focalise sur des travaux de recherche sur les terminologies et ontologies de santé, l’indexation et l’extraction automatique et la recherche d’information

Formalisation et structure des terminologies en santé ; ou plutôt, à quoi et comment cela sert ?

INVITEDInternational audienc

Formalisation et structure des terminologies en santé ; ou plutôt, à quoi et comment cela sert ?

INVITEDInternational audienc

Combining different standards and different approaches for health information retrieval in a quality-controlled gateway.

International audienceInternet as source of information is increasing in preeminence in numerous fields, including health. We describe in this paper the CISMeF project (acronym of Catalogue and Index of French-speaking Medical Sites) which has been designed to help the health information consumers and health professionals to find what they are looking for among the numerous health documents available online. The catalogue is founded on two standards: a set of metadata and a terminology based on the MeSH thesaurus which has the same structure and use as an ontology of the medical domain. The structure of the catalogue allows us to place the project at an overlap between the present Web, which is informal, and the forthcoming Semantic Web. Many features of information retrieval and navigation through the catalogue were developed. These features take into account the kind of the end-user (health professional, medical student, patient). The CISMeF-patients catalogue is a sub-catalogue of CISMeF and is dedicated to the patients and the general public. It shares the same model as CISMeF whereas MEDLINE and MedlinePlus do not. We also propose to couple two approaches (morphological processing and data mining) to help the users by correcting and refining their queries