Why the internet of things (IoT) must pivot to achieve health care potential

<p>"In many ways, internet of things (IoT) is a double-edged sword: connected devices are capturing huge volumes and varieties of data that can be mined for everything from potentially life-saving health care information to guidance toward peak athletic performance, but it is incredibly difficult to convert that raw data into truly meaningful and actionable insights."</p> <p><a href= "https://www.linkedin.com/in/frank-fornari-b6ba80244/?trk=public_profile_browsemap" target="_blank" rel="follow noopener noreferrer" data-wpel-link= "exclude">Frank Fornari</a> is a scientist and chairman and founder, <a href="https://www.biomechhealth.us/" target="_blank" rel="nofollow external noopener noreferrer" data-wpel-link= "external">BioMech</a>.</p> <p>He shares his story and discusses his KevinMD article, "<a href= "https://www.kevinmd.com/2022/10/the-focus-of-the-internet-of-things-iot-must-pivot-to-achieve-health-care-potential.html">The focus of the internet of things (IoT) must pivot to achieve health care potential</a>."</p> <p><a href="https://nuance.com/daxinaction"><img class= "alignnone wp-image-424286 size-medium" src= "https://www.kevinmd.com/wp-content/uploads/NuanceLogo_Horz_k-2-300x62.jpg" alt="" width="300" height="62" /></a></p> <p><em>The Podcast by KevinMD is brought to you by the <a href= "https://nuance.com/daxinaction">Nuance Dragon Ambient eXperience</a>.</em></p> <p><em>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.</em></p> <p><em>At Nuance, we are committed to helping physicians do what you love – care for patients – and spend less time on clinical documentation. The <a href="https://nuance.com/daxinaction">Nuance Dragon Ambient eXperience</a>, or DAX for short, is an AI-powered, ambient clinical intelligence solution that automatically captures patient encounters securely and accurately at