Background Mobile health (mHealth) apps are a potential means of empowering patients, especially in the case multimorbidity, which complicates patients’ care needs. Previous studies have shown that general practitioners (GPs) both expectations and concerns regarding use mHealth could impact their willingness to recommend patients. Objective The aim this qualitative study is investigate French GPs’ attitudes toward prescription or devices aimed patients by analyzing perceptions technologies....

Objective The first year of university is a particularly stressful period and can impact academic performance students' health. aim this study was to evaluate the health lifestyle undergraduates assess risk factors associated with psychiatric symptoms. Materials methods Between September 2012 June 2013, we included all undergraduate students who underwent compulsory medical visit at service in Nice (France) during which they were screened for potential diseases diagnostic interview. Data...

Background The field of mobile health (mHealth) is constantly expanding. Integrating mHealth apps and devices in clinical practice a major complex challenge. General practitioners (GPs) are an essential link patient’s care pathway. As they patients’ preferred intermediaries, GPs play important role supporting transition to mHealth. Objective This study aims identify the factors associated with willingness French prescribe their patients. Methods was part ApiAppS project whose overall...

Detection of rare or previously unseen attacks in cyber security presents a central challenge: how does one search for sufficiently wide variety types anomalies and yet allow the process to scale increasingly complex data? In particular, creating each anomaly detector manually training separately untenable strains on both human computer resources. this paper we propose systematic method constructing potentially very large number complementary detectors from single probabilistic model data....

Off-label drug prescribing is a public health and economic issue. The aim of this study was to describe off-label prescription in general practice France, terms frequency nature, identify its main determining factors.Multicentre cross-sectional SETTING: Twenty-three training offices PARTICIPANTS: All the voluntary patients coming for medical consultation or visited at home over cumulative period 5 days per office between November 2015 January 2016.Eleven interns, acting as observers,...

The ApiAppS ongoing project aims to provide physicians with a decision support system for the prescription / recommendation of mHealth technologies. We describe context and components which includes: 1) technical part on modelling implementing system, 2) psychosocial investigation designed have better knowledge general practitioners (GPs) patients' expectations, beliefs practices.

Asthma is often poorly controlled and guidelines are inadequately followed in medical practice. In particular, the prescription of non-asthma-specific drugs can affect quality care. The goal this study was to measure frequency antibiotics anxiolytics/hypnotics asthmatic patients look for associations between sex or age these drugs.A cross-sectional conducted using computerised records from French Italian general practitioners' networks. Patients were selected according criteria adapted HEDIS...

Objectif : Les conséquences iatrogéniques, environnementales et économiques de la prescription médicamenteuse sont des enjeux pour santé publique. Cette étude avait objectif d’identifier les caractéristiques médecins, patients consultations influençant en médecine générale. Méthodes Une transversale nationale multicentrique a été réalisée générale décembre 2011 à avril 2012. Des analyses bivariées ont réalisées, puis multivariées dans le cadre d’un modèle mixte. Résultats Parmi 20 600 chez...

Objectif : Identifier les facteurs associés à l’appropriation du projet d’installation en ambulatoire chez internes de médecine générale français. Méthodes Nous avons réalisé une enquête nationale par questionnaire auto-administré via Internet et analysé données recueillies l’aide régressions logistiques multiples. La variable expliquée était le fait « d’avoir un ». Les variables explicatives étaient la fois individuelles (sociodémographiques liées aux trajectoires formation) contextuelles...

Background: General practice became an academic discipline quite recently in many western countries. In France, junior lecturer work is specified a three-part mandate: medical general practice, teaching the university, and research. Since 2007, 130 lecturers have been appointed practice. The aim of creation status was to align with other specialties develop research education primary care.Objectives: To describe healthcare, undertaken by practising October 2014.Methods: A cross-sectional...

Abstract Background The definition and the treatment of male urinary tract infections (UTIs) are imprecise. This study aims to determine frequency UTIs in consultations general practice, diagnostic approach prescribed treatments. Methods We extracted patients, aged 18 years or more, during period 2012–17 with International Classification Primary Care, version 2 codes for associated symptoms from PRIMEGE/MEDISEPT databases primary care. For eligible which all were consistent UTIs, we...

Although there are many medical standard vocabularies available, it remains challenging to properly identify domain concepts in electronic records. Variations the annotations of these texts terms coverage and abstraction may be due chosen annotation methods knowledge graphs, lead very different performances automated processing annotations. We propose a semi-supervised approach based on DBpedia extract subjects from EMRs evaluate impact augmenting features used represent with task predicting...

The objective of our study was to assess the feasibility gathering data stored in primary care Electronic Health records (EHRs) order create a research database (PRIMEGE PACA project). software for EHR models two office and patient management systems were analyzed; anonymized extracted imported into MySQL database. An ETL procedure code text ICPC2 codes implemented. Eleven general practitioners (GPs) enrolled as “data producers” from 2012 2015. In this paper, we explain...

Electronic Health Records (EHRs) can be used for research but this raises the problem of data quality. Objective: To evaluate quality information recorded in an EHR by a general practitioner (GP) during regular office consultation. Method: 191 dialogs between GP and patient were translated into International Classification Primary Care Second edition (ICPC-2) codes. Written corresponding was extracted coded comparison. Results: The primary reason consultation 41.2% cases diagnosis 44.1%...

Abstract Background Artificial intelligence methods applied to electronic medical records (EMRs) hold the potential help physicians save time by sharpening their analysis and decisions, thereby improving health of patients. On one hand, machine learning algorithms have proven effectiveness in extracting information exploiting knowledge extracted from data. other graphs capture human relying on conceptual schemas formalization supporting reasoning. Leveraging that are legion field, it is...

<sec> <title>BACKGROUND</title> Artificial intelligence (AI) predictive models in primary healthcare can potentially lead to benefits for population health. Algorithms identify more rapidly and accurately who should receive care health services, but they could also perpetuate or exacerbate existing biases toward diverse groups. We noticed a gap actual knowledge about which strategies are deployed assess mitigate bias groups, based on their personal protected attributes, algorithms. </sec>...