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Optimal data systems
| Content Provider | Scilit |
|---|---|
| Author | Celi, Leo Anthony Csete, Marie Stone, David |
| Copyright Year | 2014 |
| Description | Journal: Current Opinion in Critical Care 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. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215932/pdf |
| Ending Page | 580 |
| Page Count | 8 |
| Starting Page | 573 |
| ISSN | 10705295 |
| e-ISSN | 15317072 |
| DOI | 10.1097/mcc.0000000000000137 |
| Journal | Current Opinion in Critical Care |
| Issue Number | 5 |
| Volume Number | 20 |
| Language | English |
| Publisher | Ovid Technologies (Wolters Kluwer Health) |
| Publisher Date | 2014-10-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Current Opinion in Critical Care Medical Informatics Data Mining Decision Support Systems Electronic Health Records Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Critical Care and Intensive Care Medicine |
