Estimate the annual revenue impact of AI across two of pharma's biggest commercial gaps: patients who are never identified in time, and patients who abandon treatment before completing it.
Typically ranges from 20-60% according to clinical studies
New patients identified
6,000
Additional annual revenue
$90,000,000
Based on 30% reduction in late diagnosis through AI prediction models
AI identifies at-risk patients before symptoms appear, expanding the treatment window. Studies show AI can predict conditions like cardiovascular disease with 90%+ accuracy years in advance (Master of Code — AI in Healthcare Statistics, 2025). AI-driven early interventions improve patient outcomes by 30-35% compared to traditional methods (Vention Teams — AI in Healthcare Statistics, 2025).
The pharma industry loses $637B annually to medication non-adherence (IQVIA Institute, 2024). 27% of all new prescriptions and 31% of specialty oncology scripts are never filled (IQVIA Oncology Access Report, 2024). AI-powered patient support programs reduce therapy discontinuation by 14-20% (Johns Hopkins School of Public Health — Pharmaceutical PAP Analysis).
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