Ontology highlight
ABSTRACT: Background
Exploring records from entire cities to make decisions, particularly within public health systems, remains challenging.Methods
This study investigates the public health data of São Caetano do Sul (SCS), in Brazil, to uncover patterns of antimicrobial prescriptions for infectious diseases using electronic health system records from primary care. Data science techniques such as preprocessing, transformation, loading, and analytics were also applied to achieve this goal.Results
From January to September 2023, a total of 575,616 records of medical appointments were analyzed, and 67,023 patients underwent one or more medical appointments of which 16,572 had infectious diagnoses. There were 7,938 prescriptions of antimicrobials for infections of which the most
SUBMITTER: Maita ARC
PROVIDER: S-EPMC12613338 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature