4.7 Review

Data collection as a barrier to personalized medicine

Journal

TRENDS IN PHARMACOLOGICAL SCIENCES
Volume 36, Issue 2, Pages 68-71

Publisher

ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tips.2014.11.002

Keywords

personalized medicine; CLEOS; computerized history-taking program

Funding

  1. Robert Bosch Stiftung, Stuttgart, Germany
  2. Deutsche Forschungsgemeinschaft [SCHW 858/1-1]
  3. CLEOS(R) program

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Basic life science research holds the promise of personalizing medical care. However, translation steps from the laboratory to the bedside are not trivial. Results from clinical research are difficult to replicate in part because study cohorts are poorly defined phenotypically. Here, we discuss how computer technology can improve the collection of clinical data to enable translation of insights from basic science to validated clinical guidelines.

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