GERENCIAMENTO DE ANTIBACTERIANOS COM APOIO DA INTELIGÊNCIA ARTIFICIAL: ATUAÇÃO DA FARMÁCIA CLÍNICA EM UM HOSPITAL PÚBLICO DE ENSINO
GERENCIAMENTO DE ANTIBACTERIANOS COM APOIO DA INTELIGÊNCIA ARTIFICIAL: ATUAÇÃO DA FARMÁCIA CLÍNICA EM UM HOSPITAL PÚBLICO DE ENSINO
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DOI: https://doi.org/10.22533/at.ed.67324110415
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Palavras-chave: antibacterianos; revisão da farmacoterapia; inteligência artificial; serviço de farmácia hospitalar
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Keywords: antibacterials; pharmacotherapy review; artificial intelligence; hospital pharmacy service.
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Abstract: Objective: To characterize the role of the clinical pharmacy in managing the use of antibacterials in a public teaching hospital, which uses artificial intelligence (AI) to review the pharmacotherapy of hospitalized patients carried out by clinical pharmacists. Method: A time series study was carried out with systematic collection of the consumption of the main antibacterials used, in addition to determining the types and acceptability profile of pharmaceutical interventions related to antibacterials, between March 2022 and July 2023, grouped into three periods: I (01/03/2022 to 30/06/2022) - adaptation to the AI tool, II (01/07/2022 to 31/12/2022) and III (01/01/2023 to 30/06/2023). The data was evaluated according to its absolute frequency (n), relative frequency (%) and measures of central tendency. Results: The antibacterials with the highest consumption during the study period, in descending order, were: oxacillin, meropenem, vancomycin, cefepime, metronidazole, ceftriaxone, cefazolin, piperacillin-tazobactam, gentamicin, amoxicillin-clavulanic acid, polymyxin E, polymyxin B. Dose adjustment was the main reason for intervention. The acceptability of the pharmaceutical interventions increased from 73.8% to 82.8% (n=12.2%) among the most prevalent antibacterials, comparing periods II and III. Conclusion: The use of an AI tool added value to the clinical pharmacy through a faster and more assertive pharmacotherapy review. There was a change in the number and profile of interventions, as well as the percentage of acceptability, demonstrating greater safety for patients using medicines in a hospital setting.
- Isabel Silva Fiuza
- Amanda Fonseca Medeiros
- Elaine Ferreira Dias
- Marcus Fernando da Silva Praxedes
- Maria Auxiliadora Parreiras Martins