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Study of Automated Care Pathway for Patients With Chronic Obstructive Pulmonary Disease (COPD)

NCT03028805 · Status: TERMINATED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 310

Last updated 2019-06-18

No results posted yet for this study

Summary

This is a fully automated randomized trial with two randomization branch-points. The first is inclusion of disease-specific orders in the admission orders based on a predictive model using real-time data. The second is the use of dynamic orders that are end-user tested rather than static orders designed by a committee. The primary hypothesis is that automatic inclusion of disease specific orders with admission orders will improve adherence to guidelines for patients with COPD. The secondary hypothesis is that clinical and operational outcomes will improve, thereby improving value.

Conditions

  • Pulmonary Disease, Chronic Obstructive
  • Pulmonary Diseases, Obstructive

Interventions

OTHER

Automatic inclusion of COPD orders in admission orders

Use of real-time data to identify a population of patients with COPD and prompt improved adherence to evidence-based guidelines through the automatic inclusion of a COPD order set in the admission orders.

OTHER

Dynamic, end-user order set design

Use of a dynamic order set that has been end-user tested prior to launch rather than designed centrally by a committee to test use of order set components.

Sponsors & Collaborators

Principal Investigators

  • Ari Hoffman, MD · University of California, San Francisco

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
FACTORIAL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-03-26
Primary Completion
2019-01-23
Completion
2019-01-23

Countries

  • United States

Study Locations

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Entities

Companies

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 NCT03028805 on ClinicalTrials.gov