POSC125 Identification of Undiagnosed Atrial Fibrillation Using a Machine Learning Risk Prediction Algorithm and Diagnostic Testing (PULSE-AI) in Primary Care: Health Economic Impact Assessment of a UK Randomised Controlled Trial

Hill, NR; Groves, L; Dickerson, C; Ochs, A; Lawton, S; Hurst, M; Pollock, KG; Sugrue, D; Tsang, C; Arden, C; Davies, DW; Martin, AC; Sandler, B; Gordon, J; Farooqui, U; Clifton, D; Mallen, C; Rogers, J; Camm, JA; Cohen, A

NR Hill

L Groves

C Dickerson

A Ochs

Sarah Lawton s.a.lawton@keele.ac.uk

M Hurst

KG Pollock

D Sugrue

C Tsang

C Arden

DW Davies

AC Martin

B Sandler

J Gordon

U Farooqui

D Clifton

Christian Mallen c.d.mallen@keele.ac.uk

J Rogers

JA Camm

A Cohen

Journal Article Type	Article
Acceptance Date	Jan 1, 2022
Publication Date	2022-01
Deposit Date	Jun 16, 2023
Journal	Value in Health
Print ISSN	1098-3015
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	25
Issue	1
Pages	S111
DOI	https://doi.org/10.1016/j.jval.2021.11.529
Keywords	Public Health, Environmental and Occupational Health; Health Policy
Additional Information	This article is maintained by: Elsevier; Article Title: POSC125 Identification of Undiagnosed Atrial Fibrillation Using a Machine Learning Risk Prediction Algorithm and Diagnostic Testing (PULSE-AI) in Primary Care: Health Economic Impact Assessment of a UK Randomised Controlled Trial; Journal Title: Value in Health; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jval.2021.11.529; Content Type: simple-article; Copyright: Copyright © 2021 Published by Elsevier Inc.