Tobacco cessation billing intelligence
Real-time validation for cessation care.
CigStopper identifies documented counseling in clinical notes and translates it into billing-ready recommendations.
Piloted at Vanderbilt University Medical Center and featured in the 2024 AMIA AI Showcase.
Workflow gap
The original problem, reframed.
Keep the figure, but let the page around it make the business case faster.
Clinicians record counseling in ordinary visit notes.
Eligible work often never reaches a structured charge pathway.
Claims, quality metrics, and prevention analytics undercount the work.
Featured research
Evidence with operational signal.
Tobacco-related publications connecting documented care, billing capture, workflow design, and measurable prevention value.
Real-time automated billing for tobacco treatment.
Performance evaluation of the CigStopper machine learning framework for identifying counseling signals and supporting billing-ready recommendations.
Read studyCigStopper validation for tobacco cessation billing automation.
A machine learning prototype was validated across synthetic and real deidentified data to identify documentation signals and automate billing recommendations.
Read studyBilling for tobacco cessation: enhancing data quality and revenue capture.
Connects tobacco treatment documentation to cleaner claims data, quality visibility, and more reliable reimbursement capture.
Read studyA multi-institutional evaluation of billing for tobacco-cessation services.
Academic medical centers found tobacco-cessation services were billed in under 2% of eligible visits, highlighting missed value and care gaps.
Read studyA lost opportunity in tobacco cessation care.
This analysis quantified the economic impact of missed billing opportunities for tobacco cessation within a large healthcare system.
Read studyHow it works
From note signal to billing-ready action.
Identify tobacco cessation work already captured in clinical text.
Map note evidence to compliant coding and documentation logic.
Surface a practical, clinician-aware billing recommendation in workflow.
Next steps
Ready to evaluate fit?
Bring your workflow, data question, or pilot context, and we can help translate CigStopper into an implementation path.
