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Adoption of clinical risk prediction tools is limited by a lack of integration with electronic health records

Authors :
Ibrahim Ali
Videha Sharma
Titus Augustine
Glen P. Martin
Sabine N. van der Veer
John Ainsworth
Source :
BMJ Health & Care Informatics, BMJ Health & Care Informatics, Vol 28, Iss 1 (2021), Sharma, V, Ali, I, van der Veer, S, Martin, G, Ainsworth, J & Augustine, T 2021, ' Adoption of clinical risk prediction tools is limited by a lack of integration with electronic health records ', BMJ Health & Care Informatics, vol. 28, no. 1 . https://doi.org/10.1136/bmjhci-2020-100253
Publication Year :
2021
Publisher :
BMJ Publishing Group, 2021.

Abstract

Prognostic risk prediction models aim to estimate the risk of a future outcome based on available clinical parameters.[1][1] There has been an increase in the development of such models given the move towards personalised and precision medicine, since they provide individualised risks for patients.[

Details

Language :
English
ISSN :
26321009
Volume :
28
Issue :
1
Database :
OpenAIRE
Journal :
BMJ Health & Care Informatics
Accession number :
edsair.doi.dedup.....a241ff1d73c12b38e63e93885885c375