Building confidence in digital health through metrology

Jan 28, 2020·
Nadia A. S. Smith
,
David Sinden
David Sinden
,
Spencer A. Thomas
,
Marina Romanchikova
,
Jessica E. Talbott
,
Michael Adeogun
Schematic with metrological challenges in field of digital health: linking heterogeneous, uncertain data Digital Health @ NPL
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.
Type
Publication
British Journal of Radiology
David Sinden
Authors
Senior Research Scientist