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Curr Opin Crit Care. 2014 Oct;20(5):573-80. doi: 10.1097/MCC.0000000000000137.

Optimal data systems: the future of clinical predictions and decision support.

Author information

1
aMassachusetts Institute of Technology, Cambridge, Massachusetts bHuntington Medical Research Institutes, Pasadena, California cUniversity of Virginia School of Medicine, Charlottesville, Virginia, USA *Dr Leo A. Celi, Dr Marie Csete, and Dr David Stone contributed equally to this manuscript.

Abstract

PURPOSE OF REVIEW:

The purpose of the review is to describe the evolving concept and role of data as it relates to clinical predictions and decision-making.

RECENT FINDINGS:

Critical care medicine is, as an especially data-rich specialty, becoming acutely cognizant not only of its historic deficits in data utilization but also of its enormous potential for capturing, mining, and leveraging such data into well-designed decision support modalities as well as the formulation of robust best practices.

SUMMARY:

Modern electronic medical records create an opportunity to design complete and functional data systems that can support clinical care to a degree never seen before. Such systems are often referred to as 'data-driven,' but a better term is 'optimal data systems' (ODS). Here we discuss basic features of an ODS and its benefits, including the potential to transform clinical prediction and decision support.

PMID:
25137399
PMCID:
PMC4215932
DOI:
10.1097/MCC.0000000000000137
[Indexed for MEDLINE]
Free PMC Article

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