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IDTechEx Report Discusses Diagnosing Cardiovascular Disease

BOSTON, Jan. 13, 2020 /PRNewswire/ -- Diagnosing CVD is the first step in patients' road to recovery. It is imperative to detect the disease early in order to administer treatment while it is still treatable. In addition, preventing the disease altogether is becoming more important in healthcare. The main approaches for detecting CVD are currently in vitro diagnostics (IVD) at point-of-care (POC) and the use artificial intelligence (AI) in cardiovascular imaging.
IDTechEx Report Discusses Diagnosing Cardiovascular Disease
POC diagnostics devices enable tests to be performed where patients are, for example at their bedside. This technology offers a range of advantages over centralised laboratory tests. Minimal sample preparation is required. It generates results quickly (15-30 minutes on average), which can reduce the time to treatment and patient outcome. It renders diagnosis more accessible - especially for isolated areas where testing equipment is unavailable, expensive, or difficult to run without trained personnel. An ideal POC diagnostic test is affordable, specific, sensitive, portable, rapid, and user-friendly. It should be suitable for use in low-resource or isolated settings. The aim of this technology is to limit lengths of hospital stay, reduce re-admissions, avoid unnecessary invasive tests, improve patient quality of life, reduce healthcare staff burden and decrease treatment costs.The value of currently available POC diagnostic tests for CVD is limited by a number of drawbacks. Data can be variable, which reduces the reliability of the tests. False positives are also an issue. Importantly, tests must become more automated and user friendly to reduce the risk of human error and improve assay performance.
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