Learning healthcare systems and rapid learning in radiation oncology: Where are we and where are we going?
Authors
Price, Gareth JMackay, Ranald I
Aznar, Marianne Camille
McWilliam, Alan
Johnson-Hart, Corinne
van Herk, Marcel
Faivre-Finn, Corinne
Affiliation
The University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, United KingdomIssue Date
2021
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Show full item recordAbstract
Learning health systems and rapid-learning are well developed at the conceptual level. The promise of rapidly generating and applying evidence where conventional clinical trials would not usually be practical is attractive in principle. The connectivity of modern digital healthcare information systems and the increasing volumes of data accrued through patients' care pathways offer an ideal platform for the concepts. This is particularly true in radiotherapy where modern treatment planning and image guidance offers a precise digital record of the treatment planned and delivered. The vision is of real-world data, accrued by patients during their routine care, being used to drive programmes of continuous clinical improvement as part of standard practice. This vision, however, is not yet a reality in radiotherapy departments. In this article we review the literature to explore why this is not the case, identify barriers to its implementation, and suggest how wider clinical application might be achieved.Citation
Price G, Mackay R, Aznar M, McWilliam A, Johnson-Hart C, van Herk M, et al. Learning healthcare systems and rapid learning in radiation oncology: Where are we and where are we going?. Vol. 164, Radiotherapy and Oncology. Elsevier BV; 2021. p. 183�95.Journal
Radiotherapy and OncologyDOI
10.1016/j.radonc.2021.09.030PubMed ID
34619237Additional Links
https://dx.doi.org/10.1016/j.radonc.2021.09.030Type
ArticleLanguage
enae974a485f413a2113503eed53cd6c53
10.1016/j.radonc.2021.09.030
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