AI Medical Affairs Software for Evidence Intelligence

The useful applications are the ones that absorb volume: screening new publications for relevance, summarising studies against a scientific platform, tracking competitor readouts, and drafting field-facing material from source papers. The constraint is that outputs must remain verifiable, so a summary without a citation is not usable. Centivence is built around that constraint and links every output to the paper it came from.

Congress output arrives in a burst, and late-breaking abstracts often carry the competitive news. Teams that rely on someone reading the programme afterwards are always a week behind. The Centivence AI Evidence Finder screens abstracts as they post and flags which ones touch your scientific platform.

A scientific platform is the agreed set of evidence-based statements a company can make about a product — the backbone MSLs, medical information and marketing all draw from. It decays when new studies appear and nobody reconciles them against it. Centivence keeps the platform tied to live evidence and flags when a supporting source is superseded.

Most delay comes from having to locate the study and the passage that answers a question. Querying a curated evidence base returns the answer with the exact section attached instead. Centivence lets teams ask questions in Find Evidence and returns answers with citations, so responses can be shared without a second round of verification.

Publication planning works best when it starts from what the literature has not answered rather than from what data happens to be available. Reading across the published base surfaces the questions that keep recurring without resolution. Centivence organises that base in an AI Evidence Repository so gaps become visible instead of anecdotal.

Misalignment usually starts when each function builds its argument from a different set of papers. Sharing one curated evidence base keeps the scientific story identical across medical, marketing and market access. Centivence gives all three the same workspace and the same traceable sources.

It is, provided the output is traceable and stays inside the approved evidence base, and the usual medical and regulatory review still applies. General-purpose AI tools fail on both counts because they generate unattributed text from open web content. Centivence reasons only over the evidence you select and returns the source with every statement.

Peer-reviewed literature and clinical trial registries at minimum, plus congress abstracts and the internal documents and data on file the team already relies on. Centivence covers over 232 million scientific papers updated weekly, and lets you upload your own documents and connect company subscriptions for additional full-text access.