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Appropriateness of Antibiotic Prescription During Teleconsultation.
Melot, B; Amsilli, M; Drouet, F; Rodriguez, L; Salomon, J; Grosjean, J; Duclos, C.
  • Melot B; Qare, Paris, France.
  • Amsilli M; Université Sorbonne Paris Nord, Laboratoire d'Informatique Médicale et d'Ingénierie des connaissances en e-Santé, LIMICS, Sorbonne Université, INSERM, F-93000, Bobigny, France.
  • Drouet F; Qare, Paris, France.
  • Rodriguez L; Qare, Paris, France.
  • Salomon J; Qare, Paris, France.
  • Grosjean J; Qare, Paris, France.
  • Duclos C; Université Sorbonne Paris Nord, Laboratoire d'Informatique Médicale et d'Ingénierie des connaissances en e-Santé, LIMICS, Sorbonne Université, INSERM, F-93000, Bobigny, France.
Stud Health Technol Inform ; 298: 142-146, 2022 Aug 31.
Article in English | MEDLINE | ID: covidwho-2022609
ABSTRACT
Teleconsultation has become a new means of using care which has taken off significantly since the COVID crisis, The pooling of the technological environment within the TC makes it possible to set up practice reviews by reusing the data collected. Our aim was to evaluate the relevance of antibiotic therapy during teleconsultations carried out on the national teleconsultation platform "Qare" in 4 common infections. 143,428 TCs with structured prescriptions were analyzed, with an appropriate prescription in more than 82% of cases, higher than in the literature. The use of data makes it possible to quickly assess practices and inform doctors to improve their practices.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Physicians / Remote Consultation / COVID-19 Drug Treatment Type of study: Experimental Studies Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220924

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Physicians / Remote Consultation / COVID-19 Drug Treatment Type of study: Experimental Studies Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220924