Data-driven Identification for Substance Misuse
Key facts
- Who runs it
- University of Wisconsin, Madison
- Where
- Chicago, United StatesSee the site
- Trial code
- Status
- Completed
- People taking part
- 64,996 people enrolled
- Started
- 19 Sept 2022
- Ended
- 19 Sept 2024
- Type of study
- Interventional, 2 groupsOne group gets no study treatment, for comparison.
- Treatments tested
- Processing of clinical notes in the EHR data collected during routine care
- Record updated
- 24 October 2025
Who can take part
- Age
- 18 years to 89 years
- Sex
- Women and men
- Healthy volunteers
- Cannot take part
The registry criteria, word for word
Show all 8 criteriaShow less
Who can take part
- Ages 18 years old to 89 years old
- Inpatient status during hospitalization
- Length of stay greater than 24 hours
Who cannot take part
- Cannot participate in the usual care SBIRT intervention
- Death or obtunded during first 24 hours of admission
- Discharged against medical advice
- Transferred from another acute care hospital
- Transferred to another acute care hospital
Where in United States
- Rush University Medical CenterChicago, United States
About the trial
What the trial wants to find out
The investigators propose to develop an open-source, publicly available machine learning model that health systems could download and apply to their electronic health record data marts to screen for substance misuse in their patients. The investigators hypothesize that the natural language processing algorithm can provide a standardized and interoperable approach for an automated daily screen on all hospitalized patients and provide better implementation fidelity for screening, brief intervention, and referral to treatment.
The 2 groups in the trial
- SMART-AI: NLP (natural language processing) pre-screenTreatment being tested
Automated processing of clinical notes collected during routine care in first 24 hours of hospital admission to identify individuals at-risk for substance misuse to receive standard-of-care full screening and assessment, brief intervention, or referral to treatment (SBIRT) intervention.
Treatment: Processing of clinical notes in the EHR data collected during routine care
- Usual CareNo study treatment, for comparison
Data collected before the intervention began
Data and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- Data-driven Strategies for Substance Misuse Identification in Hospitalized Patients
- Publications
- Clinical Implementation of an AI Algorithm for Substance Misuse Screening in Hospitalized Adults.medRxiv : the preprint server for health sciences, 2025
- Record updated
- 24 October 2025