Study of Automated Care Pathway for Patients With Chronic Obstructive Pulmonary Disease (COPD)
Stopped early · Not applicable
Conditions studied: Pulmonary Disease, Chronic Obstructive, Pulmonary Diseases, Obstructive
In brief
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.
Key facts
- Study ID
- NCT03028805
- Run by
- University of California, San Francisco
- People needed
- 310
- Starts
- 2018-03-26
- Expected to finish
- 2019-01-23
- Last updated by the study team
- 2019-06-18
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Patients 18 years old or greater admitted to the Hospital Medicine service at UCSF Medical Center who meet criteria as determined by predictive model to be likely admissions for COPD exacerbation.
You may not qualify if…
- Patients admitted to other clinical services at UCSF Medical Center.
Where it is running
- University of California, San Francisco — San Francisco, California, United States
Full record on ClinicalTrials.gov
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