At a glance
ClinicalIndex Comparison RecordStandardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
Data-driven Strategies for Substance Misuse Identification in Hospitalized Patients
In Brief
A clinical study evaluating Processing of clinical notes in the EHR data collected during routine care for Substance Use and 2 related conditions. Completed, enrolled 64,996 participants across 1 site.
Detailed Summary
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.
Study Details
Timeline
Interventions
Clinical notes collected in the first day of hospital admission during usual care as input to natural language processing and machine learning algorithm.