Comprehensive Unified Research (CURe)

Digital health

Partner Organisations

  • Institute for Digital Health
  • University of Warwick


  • Clinical trials
  • Long term conditions

Date Initiated

01 January 2014

Project Status

Regional rollout

Along with the West Midlands Query Tool, CURe is a set of tools to support research in specific clinical areas and engage frontline clinicians through integration with core IT systems.  

The planned oucomes of this programme were to design, build and test a sophisticated database environment to support clinical researchers in collecting research data for patients in their care.

Programme Outcomes

  • Design, build, test and deployment of a common database platform and server.
  • Modelling and implementation of common data elements for the common patient research record.
  • Analysis, design, implementation, testing and deployment of new specialty modules.
  • A scalability study completed.
  • Completion of a new Entity Attribute Value (EAV) structure for the CURe databases.
  • Modules developed for early arthritis, bronchiectasis and diabetes.
  • An export feature will lever interoperability with other specialties, and a reporting feature (in conjunction with the West Midlands Query Tool) will be available regionally.
  • An abstract was presented at the WIN Conference in December 2014, and a paper published and presented to ICIMTH in Athens in July 2014.
  • CURe is now ready for adoption, but it is becoming a crowded environment and along with the West Midlands Query Tool, it may well be that adoption of the two programmes lies with other vendors as part of a larger offer to the regional research community.
  • 1,060 patients have benefited from the two programmes. 


1. O. Khan, S. N. Lim Choi Keung, L. Zhao, and T. N. Arvanitis, A Hybrid EAV-Relational Model for Consistent and Scalable Capture of Clinical Research Data, in Studies in Health Technology and Informatics, Integrating Information Technology and Management for Quality of Care, Proceedings of ICIMTH2014, Athens: Greece, pp. 32-35, 2014.

2. O. Khan, S. N. Lim Choi Keung, L. Zhao, and T. N. Arvanitis, Implementing Standardisation Across Specialties for Clinical Research Data, Challenges and Lessons Learnt, In Abstracts e-book of the 2014 West Midlands Health Informatics Network Conference, University of Warwick, Coventry: UK, pp. 26-27, 2014.

Programme Lead

Professor Theo Arvanitis
t: 024 7615 1691