A. Buronfosse

ORCID: 0000-0002-6593-8935
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Healthcare Systems and Practices
  • Health, Medicine and Society
  • Clinical practice guidelines implementation
  • Pharmaceutical Practices and Patient Outcomes
  • Heart Failure Treatment and Management
  • Peripheral Artery Disease Management
  • Patient Safety and Medication Errors
  • Machine Learning in Healthcare
  • Hip and Femur Fractures
  • Emergency and Acute Care Studies
  • Frailty in Older Adults
  • Pharmacovigilance and Adverse Drug Reactions
  • Maternal and Perinatal Health Interventions
  • Cardiac, Anesthesia and Surgical Outcomes
  • Quality and Safety in Healthcare
  • European and International Law Studies
  • Geographic Information Systems Studies
  • Vascular Procedures and Complications
  • Mycobacterium research and diagnosis
  • Tracheal and airway disorders
  • Biomedical Text Mining and Ontologies
  • Global Maternal and Child Health
  • Acute Ischemic Stroke Management
  • Neonatal Respiratory Health Research
  • Muscle and Compartmental Disorders

Hôpital Paris Saint-Joseph
2018-2025

Hôpital Marie Lannelongue
2023-2024

Health Information Management
2020-2021

Hôpital Bretonneau
2000

Centre Hospitalier Universitaire de Tours
2000

Abstract Objective To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested accuracy a hybrid decision support system in prioritizing prescription checks. Materials Methods Data from electronic health records were collated over period 18 months. Inferred scores at level (probability patient’s set active orders to require pharmacist review) calculated using approach (machine learning rule-based expert system). A analyzed randomly selected 2-week...

10.1093/jamia/ocaa154 article EN cc-by-nc Journal of the American Medical Informatics Association 2020-06-30

Abstract Aims Mortality risk after hospitalization for heart failure (HF) is high, especially in the first 90 days. This study aimed to construct a model automatically predicting day post‐discharge mortality using electronic health record (EHR) data 48 h admission and artificial intelligence. Methods All HF‐related admissions from 2015 2020 single hospital were included training. Comprehensive EHR collected admission. Natural language processing was applied textual information. Deaths...

10.1002/ehf2.15244 article EN cc-by-nc ESC Heart Failure 2025-02-13

Objective: In patients with critical limb ischemia (CLI), blood pressure (BP) impact on mortality is unknown. We analyzed the predictive value of SBP, DBP and pulse (PP) at hospital admission 3-month in CLI undergoing revascularization procedure. Methods: From November 2013 to December 2018, 297 consecutive were retrospectively included. Admission BP was recorded using automated brachial sphygmomanometer, before A median seven (IQR3–13) separate readings for each patient average represented...

10.1097/hjh.0000000000002556 article EN Journal of Hypertension 2020-07-16

To contrast the association between blood pressure (BP) level and antihypertensive medications at hospital admission with 1-year mortality in patients undergoing revascularization for critical limb ischemia (CLI).From November 2013 to May 2019, 315 consecutive were retrospectively included. A median of seven (IQR 3-13) separate readings recorded each patient before procedure average represented patient's mean BP. BP-lowering medications, clinical biological parameters baseline. The main...

10.1097/hjh.0000000000002821 article EN Journal of Hypertension 2021-03-11

Abstract Objectives: To determine which factors contribute to early complications when intubated children show macroscopic lesions at extubation. Study Design: Retrospective review of 96 consecutive medical records aged 1 day 15 years. Patients were divided into three groups depending on the extent subsequent treatment required: medical, reintubation, and surgical. Methods: Age, sex, clinical history, features collected data compared in each group. Results: Underlying noninfectious...

10.1097/00005537-200002010-00029 article EN The Laryngoscope 2000-02-01

La rétention urinaire (RU) est une complication fréquente de la chirurgie proctologique (15 à 20 %). Les travaux sur ce thème sont anciens et portent un nombre limité patients. L'objectif notre étude a été revisiter ces en mobilisant les données recueillies dans le dossier informatisé (DPI) des patients opérés au sein l'hôpital avec identification du critère jugement (survenue d'une RU) via algorithme basé traitement automatique langues (TAL). Cette monocentrique rétrospective porté...

10.1016/j.jeph.2024.202371 article FR Deleted Journal 2024-03-01

Dans les situations infectieuses impliquant une hospitalisation, l'obtention d'une concentration sanguine efficace d'antibiotique constitue un enjeu qui passe par le choix posologie adaptée. Si pharmacologue peut être sollicité afin de tenir compte des caractéristiques individuelles, sa démarche d'adaptation posologique repose encore sur principes très généraux. L'objectif notre étude était construire modèle Machine Learning prédiction la d'amoxicilline à partir dose administrée et du...

10.1016/j.jeph.2024.202294 article FR Deleted Journal 2024-03-01

10.1016/j.respe.2013.01.034 article FR Revue d Épidémiologie et de Santé Publique 2013-03-01
Coming Soon ...