Evaluations of CDS Systems
- Conditions
- Safety Issues
- Interventions
- Other: Clinical Decision Support
- Registration Number
- NCT06330740
- Lead Sponsor
- New York Presbyterian Hospital
- Brief Summary
Indications-based prescribing is a medication ordering system in which a clinician selects an indication, and then the electronic health record (EHR) suggests an appropriate medication regimen. This approach was shown to significantly decrease medication ordering errors in a prototype environment. However, the effect of indications-based prescribing on preventing ordering errors has not been rigorously evaluated in a real-world healthcare setting. Antibiotics are the medication class most likely to contain ordering errors, which can lead to significant patient harm. At NewYork-Presbyterian (NYP) a robust antimicrobial indication-based order set was developed to help clinicians identify the appropriate antibiotic, dose, frequency, and duration, based on type of infection and patient-specific characteristics, but it is not widely used. The investigators propose a randomized controlled trial to assess the effectiveness of this indications-based order set for reducing antimicrobial ordering errors.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 2000
All providers placing inpatient orders on adult patients.
Providers placing orders on patients who were ordered for antibiotics >24 hours in the past 72 hours and/or patients with positive cultures during that admission, and/or placing an order from the order set.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Intervention Arm Clinical Decision Support -
- Primary Outcome Measures
Name Time Method The combined rate of Wrong Drug, Wrong Duration, Wrong Dose and Wrong Frequency Retract-And-Reorder (RAR) events will be combined to create an overall rate of near-miss ordering errors in the control and intervention arm. Up to 18 months Novel Health IT measures which utilize provider ordering patterns to capture near-miss ordering errors.
- Secondary Outcome Measures
Name Time Method