Virtual Clinical Trials with Mike Novotny

<p><span style="font-weight: 400;">Today we’re in the midst of the pandemic and virtual clinical trials are likely going to be a big part of our post-COVID-19 world. </span></p> <p><span style="font-weight: 400;">In this interview, I had the pleasure of speaking with Mike Novotny about virtual trials i.e. decentralized trials. </span></p> <p><span style="font-weight: 400;">Mike is the founder and CEO of</span> <a href="https://medrio.com/"><span style= "font-weight: 400;">Medrio</span></a><span style= "font-weight: 400;">. Mikes brings over 20 years of experience in research and software to his eClinical SaaS vision. </span></p> <p><span style="font-weight: 400;">Prior to founding Medrio, Mike was president of Ninaza, an EDC software company, and had previously held roles as a research associate at the U.N. and a manager of the fraud database at VISA. </span></p> <p><span style="font-weight: 400;">He holds a BA from Stanford University and an MBA from Columbia University. Mike founded Medrio in 2005 in San Francisco.</span></p> <p><span style="font-weight: 400;">I hope you enjoy my conversation with Mike.</span></p> <ul> <li>What is a decentralized or virtual clinical trial? </li> <li>Benefits of a virtual clinical trial in patient recruitment</li> <li>The current model of clinical trials where recruitment is done through the doctor</li> <li>What does it mean to conduct a decentralized or virtual clinical trial?</li> <li>Case Study - CNS trials and how they can benefit from going virtual <ul> <li>A limited number of patients (smaller patient pool) </li> <li>Use of social media to find eligible patients</li> <li>The patient does not need to travel to the doctor’s office, the caregiver goes to the patients home</li> </ul> </li> <li>Medrio as a technology provider for virtual studies  <ul> <li>eConsent</li> <li>Electronic data capture (EDC)</li> <li>Direct Data Capture (DDC)</li> <li>Randomization with EDC </li> </ul> </li> <li>Case Study - Cholera vaccine study in Yemen <ul> <li>Collecting clinical data without an