Platform/Across every study

Codebook

The shared foundation

A shared, organization-owned library of clinical code lists and phenotype definitions — the diagnosis, drug, and procedure codes that turn a research concept into something computable. Codebook builds and versions each definition with full provenance, then feeds it directly into Protocol Studio and SAP Studio, so the same vetted definition is reused across every study instead of being re-created study by study.

Code list
Codebook

Type 2 diabetes

Governed phenotype · v3 · 214 codes

E11ICD-10
44054006SNOMED CT
250.00ICD-9
C10F.Read v2
Generated·Verified·Reused

How it works

From a clinical concept to a reusable definition

A code list isn't a one-off — it's an asset. Codebook builds each definition once, keeps it governed and versioned, and puts it to work everywhere it's needed.

  1. 01

    Define the concept

    Start from a clinical concept — a condition, exposure, or outcome — and Codebook assembles candidate code lists across standard vocabularies.

  2. 02

    Search & verify

    Search accepted terminologies and verify each code against authoritative sources, so every list is grounded, current, and complete.

  3. 03

    Govern & version

    Every list is owned by your organization, versioned, and tagged by provenance — generated or curated — with a full history of what changed and why.

  4. 04

    Reuse everywhere

    Vetted definitions flow straight into Protocol Studio and SAP Studio, so every study is built on the same governed source of truth.

Why it matters

Reusable, governed, consistent across every study

Inconsistent code lists are a quiet source of error and wasted effort — the same phenotype rebuilt slightly differently in every study. Codebook makes each definition a governed, shared asset, so your research program stays consistent and every study rests on the same defensible foundation.

One source of truth

Every study draws from the same governed library, so definitions stay consistent across your whole research program.

Provenance on every code

Each list is tagged generated or curated and fully versioned, so you always know where a definition came from and how it changed.

Standards-grounded

Code lists are built and verified against accepted clinical terminologies like SNOMED, ICD, and RxNorm.

Feeds the whole platform

Definitions carry straight into protocols and analysis plans — no re-keying, no drift between studies.

Early access

See Codebook in action

Get in touch for a demo, or to explore how a governed code-list library could bring consistency to your studies.