Implementation Study With Decision Support Based on Data

Implementation Study With Machine Learning Based Decision Support Software for Treatment of Urinary Tract Infections in General Practice.

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04408976

Enrollment

16824

Registered

2020-06-01

Start date

2017-11-13

Completion date

2018-05-16

Last updated

2020-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Urinary Tract Infections

Keywords

Machine learning, Clinical Decision Support Systems

Brief summary

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

12 Years to No maximum

Healthy volunteers

Inclusion criteria

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

Exclusion criteria

* No.

Design outcomes

Primary

Measure	Time frame	Description
Non-recurrent UTI	28 days	A subsequent period of time after treatment, in which no new UTI treatment was needed

Countries

Netherlands

Outcome results