Implementation Study With Decision Support Based on Data

Leiden University Medical Center (LUMC)

Status: Completed

Conditions: Urinary Tract Infections

Study type: Observational

Funder types: Other

Identifiers

NCT04408976

P1746

Details and patient eligibility

About

This study evaluates the implementation of a machine learning based clinical decision support system for treatment of patients presenting with an urinary tract infection in general practice. The software was developed to support general practitioners in the choice of antibiotic regimen.

Enrollment: 16,824 patients

Sex: All

Ages: 12+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients with a urinary tract infection in general practice
• Age > 12 years.

Exclusion criteria

• No.

Trial design

16,824 participants in 2 patient groups

Software practices

Description:

Patients with urinary tract infection in practices using the clinical decision support software

Control practices

Description:

Patients with urinary tract infection in practices not using the clinical decision support software