An automation framework for clinical codelist development validated with UK data from patients with multiple long-term conditions

This work examines current methodologies for codelist development and the challenges associated with ensuring transparency and reproducibility. A key benefit of this approach is its emphasis on automation and reliance on trusted sources, which significantly lowers the workload, minimizes human error, and saves substantial time, particularly the time needed from clinical experts.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-05-24
DOI
https://doi.org/10.1186/s12874-025-02541-1
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00

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article

An automation framework for clinical codelist development validated with UK data from patients with multiple long-term conditions

Andrew Paul Clegg, Layik Hama, Matthew Sperrin, Iain Buchan et al.
BMC Medical Research Methodology
Health Systems, Economic Evaluations, Quality of Life
article

An automation framework for clinical codelist development validated with UK data from patients with multiple long-term conditions

Andrew Paul Clegg, Layik Hama, Matthew Sperrin, Iain Buchan, Alan Woodall, Roy A. Ruddle, Frances S Mair, Pietá Schofield, Harriet Cant, Eduard Shantsila, Samuel D. Relton, Mark Gabbay, Jung Yin Tsang, Olawale Popoola, Lauren Walker, Micheal Abaho, Aseel S. Abuzour, Maeve O’Connell, Arif Aslam
article en

Abstract

This work examines current methodologies for codelist development and the challenges associated with ensuring transparency and reproducibility. A key benefit of this approach is its emphasis on automation and reliance on trusted sources, which significantly lowers the workload, minimizes human error, and saves substantial time, particularly the time needed from clinical experts.

BMC Medical Research MethodologyVol. 25(1)
University of Leeds (GB), University of Liverpool (GB), University of Manchester (GB), Bronllys Hospital (GB), Mersey Care NHS Trust (GB), Bradford Teaching Hospitals NHS Foundation Trust (GB), University of Glasgow (GB), University of Sheffield (GB)
National Institute for Health and Care Research, Department of Health and Social Care
Partnerships for the goals
Openalex Percentile: Top 84%
Health Systems, Economic Evaluations, Quality of Life
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