Recruitment
This proposal specifically addresses the immediate mission-critical GeL objectives for the use of data within clinical records at each GMC site for:
1. candidate recruitment and,
2. population of GeL disease models.
These objectives will be met through the provision of an information retrieval and extraction platform: 'CogStack'. Cogstack implements best-of-breed enterprise search, natural language processing, analytics and visualisation technologies that are known to be absent from the majority of GMCs’ business and clinical intelligence capabilities. We have demonstrated successes at two GMC sites (South London and The Maudsley NHS Foundation Trust (SLaM) and King’s College Hospital (KCH)) where we are already seeing a step-change to GMC capabilities to expedite patient recruitment for the 100KGP and populate phenotype data models. It is already clear that this project has triggered lasting change at this GMC NHS Trust.
We aim to build a legacy within the NHS business intelligence community through the deployment of CogStack across all GMC sites. Beyond the principal goals of the 100KGP, the implementation of the proposed toolset and the associated upskilling in data mining techniques will create a transformational capability in the fields of business intelligence, research and audit. One of the key outcomes will be a dramatically reduced cost of clinical trials in routine practice.