The myths of 'big data' in health care.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 29212678.
- Also identified by DOI 10.1302/0301-620X.99B12.BJJ-2017-0939.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
'Big data' is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Billions of dollars have been spent on attempts to build predictive tools from large sets of poorly controlled healthcare metadata. Companies often sell reports at a physician or facility level based on various flawed data sources, and comparative websites of 'publicly reported data' purport to educate the public. Physicians should be aware of concerns and pitfalls seen in such data definitions, data clarity, data relevance, data sources and data cleaning when evaluating analytic reports from metadata in health care. Cite this article: <i>Bone Joint J</i> 2017;99-B:1571-6.
Medical subject headings
- Data Mining
- Datasets as Topic
- Delivery of Health Care
- Metadata