OP345 Evaluation Of An Artificial Intelligence-assisted Service For Cardiac Monitoring As Part Of A National Institute For Health And Care Excellence (NICE) Digital Health Technology Pilot

Introduction Zio XT Service was one of five Digital Health Technologies (DHTs) to be assessed by the National Institute for and Care Excellence (NICE) as part their evaluation pilot. The King's Technology Evaluation Centre (KiTEC) act an External Assessment NICE worked on this pilot evaluation. service comprises a I-Lead ECG patch, inbuilt software that makes use artificial intelligence (AI) algorithms record, store analyze traces, team cardiac physiologists. Methods Although methods were based NICE's existing Medical Guidance Process, they modified suit assessment DHTs. process split into two sections, with option discontinue if it considered insufficient evidence available technology. Clinical experts patients consulted through clinical, economic technical considered. Costs three care pathways modelled. Results A total thirty relevant clinical studies identified, further study being reviewed separate assessment, focusing AI component Four pivotal decision problem, which Randomized Controlled Trial. technology found have greater diagnostic yield than standard ambulatory monitor, however accuracy measures absent in literature. Three models developed represent pathways: syncope, who had stroke or transient ischaemic attack third model assessing downstream costs associated treatment. Conclusions Artificial Intelligence pose novel unique challenges health (HTA) bodies. is tool, both human input, making particularly complex assess. This work serves case-study DHTs lessons learned may contribute development guidelines such technologies.