Projects per year
Abstract
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.
Original language | English |
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Article number | 5449 |
Journal | Cancers |
Volume | 13 |
Issue number | 21 |
DOIs | |
Publication status | Published - 29 Oct 2021 |
Keywords
- Cancer
- Screening
- Smoking
- Electronic records
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Dive into the research topics of 'Using Electronic Medical Records to identify potentially eligible study subjects for Lung Cancer screening with biomarkers'. Together they form a unique fingerprint.Projects
- 1 Finished
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Prof Frank Sullivan - Studentship: Detecting high-risk smokers in Primary Care Electronic Health Records: An automatic classification, data extraction and predictive modelling approach.
Sullivan, F. (PI) & Kelsey, T. (CoI)
1/01/20 → 31/12/22
Project: Studentship