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Natural Language Processing for Screening Opioid Misuse

NCT05745480 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 47502

Last updated 2025-04-23

No results posted yet for this study

Summary

This is a clinical study to implement and evaluate a hospital-wide, operational intervention for a real-time natural language processing (NLP)-driven clinical decision support (CDS) tool, called Substance Misuse Algorithm for Referral to Treatment Using Artificial Intelligence (SMART-AI). The SMART-AI CDS tool will be evaluated via implementation in the UW Health electronic health record (EHR). The CDS tool is meant for screening inpatient adults for opioid misuse as part of a best practice alert to nurses and providers for addiction consult service needs.

Conditions

Interventions

OTHER

Opioid Misuse Screening with an Addiction Consult Service

Opioid Misuse Screening with an addiction consult service for brief intervention/motivational interviewing (MI), medication assisted treatment (MAT), or referral to substance use treatment as an outpatient.

Sponsors & Collaborators

  • University of Wisconsin, Madison

    lead OTHER

Principal Investigators

  • Majid Afshar · University of Wisconsin, Madison

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-03-06
Primary Completion
2023-11-01
Completion
2023-12-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05745480 on ClinicalTrials.gov