EVERSANA’s Predictive Analytics: A Capabilities Compendium

In the fast-changing world of healthcare, machine learning (ML) and real-world evidence (RWE) bring us closer to the goal of precision medicine: delivering the right treatment to the right patient by the right physicians at the right time. EVERSANA is proud to introduce this collection of case studies that demonstrate the transformative power of ML in healthcare.

• Our work in RWE illustrates how ML predictive analytics contribute to significant advancements in precision medicine and precision targeting, ultimately enhancing patient care and driving healthcare innovation.
• This collection of work also showcases how ML-driven predictive models are making significant strides in precision medicine by precisely targeting both physicians and patients who will benefit most from specific interventions, thereby improving patient engagement and making care delivery more efficient.

This compendium of work emphasizes the role of ML in identifying sentinel events before the correct diagnosis, targeting the right patients and the right physicians. By analyzing physician practice profiles for key attributes such as target patient volumes and clearly defined patient personas, ML models can pinpoint the healthcare providers most likely to adopt new therapies and the patients most suitable for those therapies, thereby optimizing healthcare delivery and resource allocation.

As we continue to harness the power of advanced analytics, EVERSANA is poised to improve patient care, optimize resource allocation and drive innovation in healthcare.

Pierantonio Russo, MD, FCPP, FAAP, member STS
Corporate Chief Medical Officer