Improving data and knowledge management to better integrate health care and research

Cases, Montserrat ; Furlong, Laura I. ; Albanell, Joan ; Altman, Russ B. ; Bellazzi, Riccardo ; Boyer, Scott ; Brand, Angela ; Brookes, Anthony J. ; Brunak, Soren ; Clark, Timothy W. ; Gea, Joaquim ; Ghazal, Peter ; Graf, Norbert ; Guigo, Roderic ; Klein, Teri E. ; Lopez-Bigas, Nuria ; Maojo, Victor ; Mons, Barend ; Musen, Mark ; Oliveira, José L. ; Rowe, Anthony ; Ruch, Patrick ; Shabo, Amnon ; Shortliffe, Edward H. ; Valencia, Alfonso ; van der Lei, Johan ; Mayer, Miguel A. ; Sanz, Ferran

In: Journal of internal medicine, 2013, vol. 274, no. 4, p. 321-328

Medicine is an increasingly data intensive discipline, with a growing need to link individual patient health records to rapidly changing research knowledge for better differential diagnosis, prognosis, and prediction of treatment response. Equally, biomedical research will gain massively from the integrative analysis of clinical and multi-omics information. Capitalizing on these opportunities... More

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    Summary
    Medicine is an increasingly data intensive discipline, with a growing need to link individual patient health records to rapidly changing research knowledge for better differential diagnosis, prognosis, and prediction of treatment response. Equally, biomedical research will gain massively from the integrative analysis of clinical and multi-omics information. Capitalizing on these opportunities must be guided by a precise understanding of many complex issues related to the integration of large amounts of diverse information. Partly this involves overcoming barriers between different disciplines, such as biology, medicine and computer sciences – implying a key role for ‘knowledge engineers’. This paper summarizes recent expert debates on such matters, leading to suggestions for concrete actions that should improve and better synergize both research and healthcare.