title: Data collection as a barrier to personalized medicine.
abstract: 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.
authors.affiliation: Institute for Digital Medicine Foundation, 70192 Stuttgart, Germany. Electronic address: dzakim@sonic.net.
authors.forename: David
authors.initials: D
authors.lastname: Zakim
authors.affiliation: Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 0376 Stuttgart, Germany; Department of Clinical Pharmacology, University Hospital Tübingen, 72076 Tübingen, Germany.
authors.forename: Matthias
authors.initials: M
authors.lastname: Schwab
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D003625:Data Collection / Q000379:methods*; D006801:Humans; D008487:Medical History Taking; D057285:Precision Medicine; D012984:Software
keywords: CLEOS; computerized history-taking program; personalized medicine