Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methods.

ABSTRACT: Background: Most states have legalized medical cannabis, yet little is known about how medical cannabis use is documented in patients' electronic health records (EHRs). We used natural language processing (NLP) to calculate the prevalence of clinician-documented medical cannabis use among adults in an integrated health system in Washington State where medical and recreational use are legal. Methods: We analyzed EHRs of patients ≥18 years old screened for past-year cannabis use (November 1, 2017-October 31, 2018), to identify clinician-documented medical cannabis use. We defined medical use as any documentation of cannabis that was recommended by a clinician or described by the clinician or patient as intended to manage health conditions or symptoms. We developed and applied a

SUBMITTER: Carrell DS 

PROVIDER: S-EPMC9134865 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature