| Literature DB >> 31971816 |
Nadia A S Smith1, David Sinden1, Spencer A Thomas1, Marina Romanchikova1, Jessica E Talbott1, Michael Adeogun1.
Abstract
Healthcare is increasingly and routinely generating large volumes of data from different sources, which are difficult to handle and integrate. Confidence in data can be established through the knowledge that the data are validated, well-curated and with minimal bias or errors. As the National Measurement Institute of the UK, the National Physical Laboratory (NPL) is running an interdisciplinary project on digital health data curation. The project addresses one of the key challenges of the UK's Measurement Strategy, to provide confidence in the intelligent and effective use of data. A workshop was organised by NPL in which important stakeholders from NHS, industry and academia outlined the current and future challenges in healthcare data curation. This paper summarises the findings of the workshop and outlines NPL's views on how a metrological approach to the curation of healthcare data sets could help solve some of the important and emerging challenges of utilising healthcare data.Mesh:
Year: 2020 PMID: 31971816 PMCID: PMC7217584 DOI: 10.1259/bjr.20190574
Source DB: PubMed Journal: Br J Radiol ISSN: 0007-1285 Impact factor: 3.039