Life sciences organizations face increasing pressure to deliver Fair Market Value (FMV) assessments for healthcare professionals quickly, consistently, and defensibly. Yet many medical affairs, compliance, and FMV review teams still rely on manual review of lengthy CVs—spending hours extracting credentials, publications, research experience, and speaking engagements from unstructured PDFs.
PwC is helping clients unlock measurable efficiency gains by harnessing AI to modernize this process.
Using advanced document intelligence and configurable tiering logic, we help organizations automatically extract relevant data from CVs and convert it into structured, standardized outputs. Defined FMV criteria are applied consistently and transparently, creating clear documentation of how each determination is reached.
Built on a secure Python-based backend with a modern micro-frontend architecture, the capability leverages GPT-4o for contextual data extraction, confidence scoring, and digital audit trails. These features help enhance accuracy and transparency while preserving governance, consistency, and audit readiness. Configurable logic enables organizations to align tiering criteria with internal policies and evolving regulatory expectations.
The impact is significant. By automating one of the most time-intensive components of FMV review, organizations can save more than 4,750 hours—equivalent to two to three full-time resources—and reduce annual flex capacity needs by an estimated 1,200 hours.
Time savings at scale
Reduce thousands of hours spent on manual CV review.
Greater consistency and defensibility
Standardized logic and traceable decision pathways to help support compliant outcomes.
Operational efficiency
Lower resource strain without compromising quality or regulatory standards.
By harnessing AI to streamline FMV CV review, PwC helps healthcare organizations save time, reduce costs, and increase confidence in every determination.
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