Analysis, guides, and insights for life sciences data teams.
A practical explanation of Medicare negotiation, Maximum Fair Price, 7-year and 11-year clocks, discount ranges, and data fields pharma teams need for exposure modeling.
How Structured Product Labeling works, which SPL sections matter, and why label version history is a strategic intelligence asset.
A practical tour of AACT tables, sponsor normalization, site geography, intervention mapping, and trial-to-drug intelligence workflows.
A data-team guide to Orange Book patents, Purple Book biologics, exclusivity codes, Paragraph IV challenges, and patent cliff modeling.
How FAERS is structured, what the seven linked tables contain, how PRR signal scoring works, and where data quality problems slow PV teams down.
