Proving the Business Case for the Internet of Things

Mayo Clinic and Sensely collaborate on digital healthcare

Steve Rogerson
May 24, 2017



The Mayo Clinic is collaborating with California-based Sensely on advancing digital healthcare.
 
Sensely produces a virtual medical assistant application for patient engagement and chronic disease monitoring. The agreement aims to leverage that technology in support of optimal health outcomes for individuals.
 
"We are collaborating on solutions that would allow people to receive trusted health guidance and information, leading to more appropriate diagnosis and treatments," said Sensely's founder and CEO Adam Odessky. “By utilising Mayo Clinic's triage algorithms and clinical expertise along with Sensely's proven, empathy first, patient engagement platform, we hope to assess and predict what healthcare resources can best assist patients at their time of need without them needing to leave their homes.”
 
Supporting more than 20 conditions and protocols, Sensely offers therapeutic help with expertise and empathy. Sensely's healthcare products have achieved results regarding patient compliance, reduction of readmissions and lowering of costs. Mayo Clinic's health guidance expertise will help Sensely enhance its avatar to assess patients and triage them to the most appropriate care resource, such as self care, clinical advice, scheduling an appointment, nurse line and ER direction
 
"This new digital solution can help reduce the burden on the healthcare's most expensive services, such as emergency rooms and clinical office visits," said Odessky. “With research showing that 65 per cent of ER visits are avoidable, it's crucial for digital healthcare to continue to evolve at a rapid pace.”
 
Sensely offers a patient engagement product that provides personalised monitoring and follow-up care with a strong focus on patients with chronic diseases. The virtual medical assistant combines avatar-based technology, sensor capabilities and telemedicine features that generate actionable, real-time data and intelligent analytics, enabling clinicians to make better, timelier care decisions.