CODE - Collaboration for Oncology Data in Europe

  • Private Initiative
  • European
  • Cloud
Last updated: 2021-10-28 01:09

Stakeholders


    Industry
  • United States of America
    Amgen (US) (United States of America)
  • United Kingdom
    AstraZeneca (UK) (United Kingdom)
  • United States of America
    Briston-Myers Squibb (US) (United States of America)
  • United States of America
    CODE (USA) (United States of America)
  • United States of America
    IQVIA (US) (United States of America)
  • United States of America
    Lilly (US) (United States of America)
  • United States of America
    Merck Sharp & Dohme (US) (United States of America)
  • United States of America
    Pfizer (US) (United States of America)
  • Community Organisations
  • Belgium
    Ecco - European Cancer Organisation (Belgium) (Belgium)

Strategic Goals

To drive innovation and support improvements in cancer care, and address information gaps by providing timely information on anti-cancer medicine use back to healthcare systems. It also aims to facilitate new models of access, and to help address the challenges of financial sustainability by providing information on how anti-cancer medicines are actually used in clinical practice

Solutions Developed / Used

With CODE, participants can look beyond their own patients for collective benefits of gaining insights from the rest of the network. Participants gain the ability to understand drug adoption and implementation, chart the speed and variation of adoption, highlight variations in patients’ access to anti-cancer medicines, provide insights into variations in practice and use of anti-cancer medicines, and create a stimulus for clinical research. Data collection is extracted directly from clinical systems.

Description

Start Date

01/01/2017

Project Focus

  • Regulator

Geographical Scope

  • European

Keywords

  • Cloud

Cloud Delivery Model

  • PaaS
  • SaaS

Project Life-Cycle Stage

  • Operational Deployment

Industry

  • Education and Skills
  • Health
  • Public Administration

Industry

  • Science and Research

Technology

  • Artificial Intelligence / Machine Learning
  • Big Data