Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge

Implementing a system that can extract data directly from electronic records and automatically present it in a logical and relevant way to health professionals-including policymakers and administrators-would enable the identification of potential problems, the planning of interventions to improve antimicrobial use, and the monitoring of their impact. Our findings highlight opportunities to improve antimicrobial prescribing through data-driven tracking, analysis, and feedback mechanisms.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-11-12
DOI
https://doi.org/10.1186/s12911-025-03260-9
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge

Nazareno Scaccia, Mônica Tilli Reis Pessoa Conde, Sílvia Figueiredo Costa, Robson Bruno Dutra Pereira et al.
BMC Medical Informatics and Decision Making
Antibiotic Use and Resistance
article

Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge

Nazareno Scaccia, Mônica Tilli Reis Pessoa Conde, Sílvia Figueiredo Costa, Robson Bruno Dutra Pereira, Ana Rocío Cárdenas Maita, Maria Tereza Razzolini, Maura Salaroli de Oliveira, Maria Clara Padoveze, Vítor Falcão de Oliveira, Fátima L. S. Nunes, Anna S. Levin, Márcio K. Oikawa, Éster Cerdeira Sabino, Lucia Salvi, Fábio E. Leal, Erika R. Manuli, Cibele Cristine Remondes Sequeira, Ícaro Boszczowski, Gabriela da Silva Xavier, María Laura Matos, Alison J. Holmes, Regina Maura Zetone Graspan
article en

Abstract

Implementing a system that can extract data directly from electronic records and automatically present it in a logical and relevant way to health professionals-including policymakers and administrators-would enable the identification of potential problems, the planning of interventions to improve antimicrobial use, and the monitoring of their impact. Our findings highlight opportunities to improve antimicrobial prescribing through data-driven tracking, analysis, and feedback mechanisms.

BMC Medical Informatics and Decision MakingVol. 25(1)
Universidade Municipal de São Caetano do Sul (BR), Universidade de São Paulo (BR), Universidade Cidade de São Paulo (BR), Instituto de Medicina Tropical (PY), Instituto Nacional de Câncer - INCA (BR), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR), Imperial College London (GB)
Wellcome Trust
Openalex Percentile: Top 60%
Antibiotic Use and Resistance
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