The BigMed project was funded by The Research Council of Norway (RCN) as an ICT lighthouse project to address the barriers to clinical implementation of precision medicine and pave the way for big data analytics. The consortium, hosted by Oslo University Hospital, was a cooperation of more than 20 partners from industry, academia, and the clinic. In the four years BigMed operated, the multidisciplinary teams developed solutions on infrastructure, quality assurance, data sharing and clinical decision support based on needs identified through three clinical areas: rare diseases, sudden cardiac death, and colorectal cancer.
In developing a framework for addressing different types of implementation barriers, BigMed considered legal issues, organisational and governance issues, ICT infrastructure, as well as the life cycle of secondary use of data through data capture, analysis, and application.
The project found data is a resource that is seldom reused for clinical decision support. Clinical genomics is an exception and serves as a good example of how data can be reused to support clinical decisions. This can be a model for future development of other areas, to see how data can be used for patient similarity analysis and to speed up knowledge development to the benefit of our patients.
After almost four years of development, experimentation, and knowledge building on clinical implementation of precision medicine, we conclude BigMed with this final report, Reflections on the clinical implementation of precision medicine. The report summarizes experiences and reflections from the project and is meant to be a guide for subsequent projects on the implementation of precision medicine.
Learn more about DNV's Precision Medicine programme or visit www.bigmed.no