OptimizeRx Reports Results of Flagship Evidence-Based Physician Engagement Program
Analysis finds patent-pending real-world evidence solution successful in identifying HCPs with patients at risk of non-adherence due to unexpected cost.
Proactive affordability messaging key for doctors and patients navigating Medicare coverage gaps
In its flagship program, the company’s Evidence-based Physician Engagement solution was leveraged to validate the manufacturer’s list of healthcare providers (HCPs), and identify additional HCPs, eligible to receive affordability information for their relevant patients. Utilizing this HCP audience, the company’s solution delivered targeted financial resources based on a predictive algorithm that identified when patients of these HCPs would become ‘at-risk’ of non-adherence due to unexpected costs, including Medicare coverage gaps.
By applying a machine learning (ML) artificial intelligence (AI) method to real-world data, the solution was able to accurately predict HCPs with ‘at-risk’ patients in real-time, driving:
- +200% growth over the manufacturer’s initial number of HCPs identified with ‘at-risk’ patients
- 46,000+ incremental scripts among HCPs receiving affordability information and financial resources for their patients
- +6:1 ROI on the manufacturer’s investment in the program
- 27% of the HCPs identified and targeted for the affordability information program enrolled a patient for the first time
“The results of this program have exhibited the potential of our powerful AI/ML solution to impact complex and widespread systemic challenges to care delivery,” added
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Andy D’Silva, SVP Corporate Finance
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Source: OptimizeRx Corporation