See how we bring together global data assets, AI-powered analytic solutions, and industry-leading healthcare expertise
In the realm of pharmaceuticals, overt hepatic encephalopathy (OHE) poses a significant challenge. Often underdiagnosed and un-coded, this condition is associated with cirrhosis and can lead to acute patient episodes and poor outcomes. The client, a leading pharma company, recognized the urgency of addressing this issue. They sought a solution to predict which patients were likely to develop OHE and, crucially, how to identify the healthcare providers (HCPs) caring for these patients.
Our partnership with the client led to the development of an AI-driven predictive model.
By uncovering previously undiscovered HCP opportunities, the predictive target list achieved a staggering 250% increase in Rx volume. The AIML model transformed the client's approach, demonstrating that data-driven insights can revolutionize healthcare strategies.
Our partnership with the client led to the development of an AI-driven predictive model via our solution, Dynamic HCP Profiling and Targeting.
We'd love to show you how AI and Machine Learning can help you find the right patients, the right HCPs, and develop patient journey insights with precision and speed.
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Harness the power of RWD assets and our extensive AI and Machine Learning expertise to provide dynamic, up-to-date HCP profiling and targeting for effective sales force allocation.
Identifying the right HCPs and patients produced a 5x greater rate of treatment transition vs previous methods
Leveraging Machine Learning to Optimize Care for Patients with Type 2 Diabetes and Obesity
See how we bring together global data assets, AI-powered analytic solutions, and industry-leading healthcare expertise
Quickly identify opportunity patients and easily discover high value physicians