An interventional study of Clinical Decision Support in Safety Issues, sponsored by New York Presbyterian Hospital. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-03-26.
Sponsored by New York Presbyterian Hospital · Not applicable, Interventional, and Treatment
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.
New York Presbyterian Hospital is the lead sponsor of 20 studies on the registry; 2 are open to participants now.
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All providers placing inpatient orders on adult patients.
Exclusion Criteria:
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.
Other: Clinical Decision Support
Upon ordering antibiotics the provider will be prompted to utilize an indication-based order set which guides the clinician to the appropriate empiric antibiotic choice.
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.
Novel Health IT measures which utilize provider ordering patterns to capture near-miss ordering errors.
Time frame: Up to 18 months
No study locations are listed for this record.
Plan to share: No
No publications or documents are linked to this record.
This study is not yet recruiting, as verified in Mar 2024. You cannot join it, but the record below documents what was studied.
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New York Presbyterian Hospital