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“Despite these high numbers, we cardiologists often look to genetic screening last in our diagnostic workup. But without genetic screening, we can’t always see the whole picture in our cardiomyopathy patients. Once we’ve excluded coronary disease as an etiology, available diagnostic tools such as echocardiography and magnetic resonance imaging provide great insight into the symptoms and consequences of these conditions but not the specific underlying causes. Epidemiology studies support this notion. For example, in 2011, one study found that more than half of previously unexplained cardiac deaths in young people resulted from genetically-linked arrhythmia, as determined through postmortem genetic testing. Thus, our ability to advise patients and their families, and in some cases, take preemptive measures such as defibrillator implantation, is limited.”
Marc Semigran is a cardiologist and chief medical officer of a biotechnology company developing cardiac gene therapy.
He shares his story and discusses his KevinMD article, “It’s time to start approaching heart disease like breast cancer.”
This episode is sponsored by the Nuance Dragon Ambient eXperience.
With so many demands on their time, physicians today report record levels of burnout. Burnout is caused by many factors, one of which is clinical documentation. Studies indicate physicians spend two hours documenting care for every hour spent with patients.
At Nuance, we are committed to helping physicians do what you love – care for patients – and spend less time on clinical documentation. The Nuance Dragon Ambient eXperience, or DAX for short, is an AI-powered, ambient clinical intelligence solution that automatically captures patient encounters securely and accurately at the point of care. Physicians who use DAX have reported a 50 percent decrease in documentation time and a 70 percent reduction in feelings of burnout, and 83 percent of patients say their physician is more personable and conversational.
Rediscover the joy of medicine with clinical documentation that writes itself, all within the EHR.
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