NCT06330740

Evaluations of CDS Systems

Reducing Medication Ordering Errors Through Indications-Based Prescribing

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 2,000 (estimated)
• Sponsor: New York Presbyterian Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Safety Issues

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2024-03-01
• Primary completion: 2025-09-01
• Completion: 2025-12-01
• First posted: 2024-03-26
• Last updated: 2024-03-26