The combined risk scores were derived by integrating the LCR and epidemiological analyses and plotting them on a scale from 0 to 100, with 0 representing non-users of any nicotine products and 100 representing users of combustible cigarettes (Figure 4)
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For instance, heres how MedGenX, OSIs intelligent AI-assisted medical coding tool powered by DeepKnit AI, works: Identifies relevant documentation : MedGenX scans physician notes, history sections, and assessment details for terms such as smoker, nicotine dependence, former smoker, or secondhand smoke exposure. Suggests the correct ICD-10 codes : Based on the context, it recommends the most appropriate code and flags when more specificity is needed
They are experiencing Passive Smoking, which is equally harmful
Perhaps its that first cup of coffee in the morning or finishing a meal
