Using Electronic Medical Records to identify potentially eligible study subjects for Lung Cancer screening with biomarkers
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Lung cancer screening trials using low-dose computed tomography (LDCT) show reduced late-stage diagnosis and mortality rates. These trials have identified high-risk groups that would benefit from screening. However, these sub-populations can be difficult to access and retain in trials. Implementation of national screening programmes further suggests that there is poor uptake in eligible populations. A new approach to participant selection may be more effective. Electronic medical records (EMRs) are a viable alternative to population-based or health registries, as they contain detailed clinical and demographic information. Trials have identified that e-screening using EMRs has improved trial retention and eligible subject identification. As such, this paper argues for greater use of EMRs in trial recruitment and screening programmes. Moreover, this opinion paper explores the current issues in and approaches to lung cancer screening, whether records can be used to identify eligible subjects for screening and the challenges that researchers face when using EMR data.
Brown , L , Agrawal , U & Sullivan , F 2021 , ' Using Electronic Medical Records to identify potentially eligible study subjects for Lung Cancer screening with biomarkers ' , Cancers , vol. 13 , no. 21 , 5449 . https://doi.org/10.3390/cancers13215449
Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DescriptionFunding: This research was funded by The Melville Trust for the Care and Cure of Cancer, grant number M00109.0001/TZH/MHR.
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