Evaluations of CDS Systems

NCT ID: NCT06330740

Last Updated: 2024-03-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

2000 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-03-31

Study Completion Date

2025-12-31

Brief Summary

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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

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Conditions

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Safety Issues

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Participants Outcome Assessors

Study Groups

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Intervention Arm

Group Type EXPERIMENTAL

Clinical Decision Support

Intervention Type OTHER

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.

Control Arm

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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New York Presbyterian Hospital

OTHER

Sponsor Role lead

Responsible Party

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Anne Grauer

Assistant Professor of Clinical Medicine at CUIMC

Responsibility Role PRINCIPAL_INVESTIGATOR

Other Identifiers

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AAAU3416

Identifier Type: -

Identifier Source: org_study_id

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