First published 10/3/2026, 9:41:15 PM · Last updated 10/3/2026, 9:41:15 PM

Identifying Marijuana, Nicotine and Electronic Cigarette References Within a Free-Text Data Field in the Electronic Medical Record Using SAS

A 2015 journal article (publisher: Aurora Health Care, Inc.) reports a method using SAS to detect mentions of marijuana, nicotine, and electronic cigarettes in free-text fields of electronic medical records. The source is identified as a journal article but provides no further methodological or result details in the supplied data.

Categories: science-and-space, public-health, technology

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 5/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 3/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 2/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 2/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 5/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

The paper addresses automated identification of substance-related references in EMR free-text using SAS.

Sources

Identifying Marijuana, Nicotine and Electronic Cigarette References Within a Free-Text Data Field in the Electronic Medical Record Using SASMetadata provided by Crossref. Usage terms

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