Accessing life sciences insights at scale through centralized intelligence
FinThrive’s mission centers on providing the most comprehensive revenue cycle management (RCM) platform to help healthcare providers focus on patient care and reduce reimbursement administrative burdens. As a company managing revenue cycles from patient admission through discharge and payment collection, FinThrive processes enormous volumes of healthcare data.
FinThrive’s life sciences division supports pharmaceutical and research organizations by enabling access to de-identified real-world healthcare data — used to inform clinical development, market strategy and population health insights. However, this valuable data remained difficult to access due to technical barriers. When pharmaceutical companies or data brokers submitted feasibility requests seeking specific patient population data or therapeutic area insights, FinThrive’s small team of analysts had to manually write SQL queries for each unique request.
“Every time a request comes in, it comes with different logic and different criteria,” Hari Gummakonda, Senior Director of Data and Analytics at FinThrive, explained. “Each analyst writes these queries in different ways, and we don’t have consistent answers every time. This created inconsistency and delays that could cost us opportunities.”
The manual process created a significant bottleneck in FinThrive’s ability to deliver timely insights to life sciences partners. Pharmaceutical companies often engage through channel partners who shop around multiple providers, so speed became critical to winning business. The typical 3–5 day turnaround time for complex queries can be problematic in a highly competitive market.
