Software Firm Deep 6 AI Names Jason Colbert as the Chief Technology Officer By CIOTechOutlook Team

Software Firm Deep 6 AI Names Jason Colbert as the Chief Technology Officer

CIOTechOutlook Team | Tuesday, 04 April 2023, 03:22 IST

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Deep 6 AI, the leader in clinical trial acceleration software, announced Jason Colbert is joining the company as the new Chief Technology Officer.
 
Jason has more than 25 years of deep technological experience and joins Deep 6 AI. In his most recent position, Jason served as the Chief Technology Officer at Reveleer, a provider of healthcare analytics and data. There, he and his team spent seven years developing AI and data SaaS applications that connected healthcare organisations, providers, and payors in a secure manner in order to scale their operations. Jason had executive positions at Public Storage and Fox Television before joining Reveleer. 
 
Jason will oversee the expansion and application of Deep 6 AI's clinical trials acceleration software, which connects healthcare institutions, life sciences firms, contract research organisations, and patients in a shared, secure ecosystem.
 
"We're delighted to have Jason on the team," said CEO Wout Brusselaers. "He brings a deep understanding of scalable platform architecture, clinical data connectivity, agile app development and a truly client- and people-centric leadership style."
 
"What an incredible time to be joining Deep 6 AI," said Jason Colbert. "I'm excited to be working on a truly cutting-edge technology with perhaps the largest collection of unstructured clinical data. The mission to bring new cures to patients faster by making the broken clinical trials process more data- and tech-driven resonates with me and the entire Deep 6 AI team."
 
Deep 6 AI, a pioneer in clinical trial acceleration software, joins dozens of top healthcare and life science firms in a precision research ecosystem to speed up the delivery of life-saving treatments to patients. The business uses artificial intelligence to quickly discover the ideal patients and clinical trial locations from structured and unstructured EHR data.

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