Heart Failure Clinical Trial
Official title:
Optimising a Digital Diagnostic Pathway for Heart Failure in the Community
This is a prospective, observational study. The primary aim is to assess the diagnostic accuracy of Artificial Intelligence (AI) analysis of Point of Care (POC) handheld transthoracic echocardiogram images (POC handheld echocardiogram) compared to the current gold-standard of transthoracic echocardiogram images acquired and analysed by a British Society of Echocardiography (BSE) accredited operator, using a standard echocardiogram machine (standard TTE), for the diagnosis of Heart Failure with reduced Ejection Fraction (HFrEF), in patients referred from the community for investigation of suspected new Heart Failure (HF).
1. Demonstrate that in comparison to using the current gold standard of BSE accredited operator echocardiography within a HFDP, using AI enhanced analysis of POC handheld echocardiography is accurate and safe. This has the potential to improve access to timelier echocardiography in order to achieve earlier HF diagnosis and treatment, which is known to delay/prevent progression to HF hospitalisation. It will also provide useful information regarding the future feasibility of using AI enhanced analysis of POC handheld echocardiography in the community, for investigation of people with suspected new HF. 2. Facilitate the digitisation of an NHS Heart Failure diagnostic service in order to standardise and improve the quality of data collection and clinical care provided within the service. ;
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