MedTrace Logo

Implementation Study With Decision Support Based on Data

NCT04408976 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 16824

Last updated 2020-06-01

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Pacmed BV

    collaborator UNKNOWN

  • Zorgverzekeraar CZ

    collaborator OTHER

  • Zorgverzekeraar Zilveren Kruis

    collaborator UNKNOWN

  • Zorgverzekeraar Menzis

    collaborator UNKNOWN

  • Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

    collaborator OTHER

  • Netherlands Instititute for Health Services Research

    collaborator OTHER

  • Leiden University Medical Center

    lead OTHER

Principal Investigators

  • Willem Herter · Leiden University Medical Center

  • Tobias Bonten · Leiden University Medical Center

Eligibility

Min Age
12 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-11-13
Primary Completion
2018-05-16
Completion
2018-05-16

Countries

  • Netherlands

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04408976 on ClinicalTrials.gov