Prospection AI patient-centric intelligence platform

Prospection has announced the availability of Prospection AI, its self-service patient-centric intelligence (PCI) platform designed to help life sciences commercial organisations by unlocking insights into the complete patient care journey to achieve full market potential (care-and-share). The product embeds artificial intelligence (AI) out of the box, with ProGPT — a ChatGPT-powered assistant — included in the platform to help simplify and broaden the use of real-world data in brand planning and commercial decision-making.

The product has been purpose-built to be the PCI shared hub for brand teams, analytics teams and commercial executives, giving each what they need, when they need it. In doing this, it is capable of elevating commercial data fluency and insights accessibility to bring a unified understanding of care-and-share across pharmaceutical organisations.

The ProGPT virtual assistant allows brand managers to intuitively refine and explore reports, make routine updates to key dashboards, and test thinking around ways to improve care-and-share — all with the ease of natural language.

Dozens of preconfigured, brand-specific key business questions (KBQs) are served in a Critical Insights hub to provide instant answers that highlight key performance indicators around market share and size, business growth, business loss, patient adherence and persistence, patient journey and intervention points, providers of interest and more.

Curated, dynamic PCI dashboards — scaled and enriched with lines of therapy and treatment regimens, where appropriate — surface the most relevant care-and-share insights at the brand and competitor level, including market dynamics, patient outcomes, provider behaviours and growth opportunities.

Broadening the reach and usability of patient-centric intelligence, the platform is a central patient data insights tool for entire cross-functional teams that support the commercialisation of a drug, designed to accelerate insights for brand teams, free up time and effort for analytics teams, and help leadership realise the full value of their patient data investment. It can support more than 100 clinical indications, including those in oncology and immunology that require deep insight into lines of therapy and treatment regimens.