Real-world data/evidence case studies

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Learn more about our work from our library of real-world evidence/data case studies and explore our in-depth scientific expertise across disciplines.

Rapid deployment of a compassionate use program

During the peak of the COVID-19 pandemic, a global compassionate use program (CUP) was urgently needed to provide compassionate use of a promising treatment. The program required rapid deployment across multiple regions to support hospitalized patients.
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From early engagement to award

An established customer sought to streamline patient follow-up across multiple clinical protocols, each involving different sponsors and assets, to support ongoing treatment and safety data collection.
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Impact of point of care marketing in hospital settings

A major Point of Care (PoC) Publisher partnered with Symphony Health to evaluate an unbranded cardiovascular treatment campaign targeting hospital-affiliated physicians nationwide. The campaign used printed condition guides to engage HCPs and patients during key decision-making moments.
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Achieving highly accurate social media measurement

Symphony Health partnered with a social media company to develop a privacy-compliant ad measurement solution for a pharma client. Using machine learning, they maintained 90% accuracy while meeting stricter privacy standards—offering a scalable model for regulated environments.
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Quantifying the impact of SDOH

Understanding Social Determinants of Health (SDOH) is key to addressing disparities and improving outcomes in Type 2 Diabetes. While factors like diet and access to care are known, quantifying their impact on diagnosis, treatment initiation, and adherence remains an emerging focus.
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Disparities in access to branded migraine therapies

CGRP inhibitors have expanded migraine treatment, but payer barriers often limit access, especially for vulnerable groups. A patient advocacy client worked with Symphony Health to explore disparities in access and their impact on outcomes like ER visits and hospitalizations.
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Leveraging Real-World Data and machine learning

Early cancer detection is vital, yet many cases—especially lung cancer—are diagnosed late, limiting treatment options. Life sciences organizations now use real-world data and machine learning to identify subtle, pre-diagnostic signals in patient journeys, enabling earlier intervention and improved outcomes.
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