Proving the Business Case for the Internet of Things

Jointly raises $1.3 million in funding to develop remote-monitoring services

Iain Morris
May 28, 2014
 
Remote monitoring analytics provider Jointly Health has raised $1.3 million from investors, including Frost Venture Partners and Reed Elsevier Ventures, reports MobiHealthNews.

The new funding means the company has now raised a total of $3.8 million to help it develop its remote analytics and monitoring platform – which is being designed to gather and analyze data from third-party sensors.

The company believes the technology will help to prevent hospitalizations for patients with chronic diseases, such as diabetes.

In a statement, Jointly (San Juan Capistrano, CA, USA) said it would “continuously identify patients in need of remote monitoring, enable the development of health deterioration detection models, monitor patients, detect deterioration before symptoms manifest themselves and communicate this information to the appropriate person on the patient’s care team so they can intervene before the problem becomes acute and requires hospitalization.

According to MobiHealthNews, the new funding will be directed towards hiring new staff and preparing for the rollout of services.

Although these have yet to be cleared by the US Food and Drug Administration, Jointly has already lined up its first customers, says chief executive Dean Sawyer.

In an interview with MobiHealthNews, Sawyer said that plenty of companies were providing simple “binary alerting” services that trigger a warning if a patient’s weight or blood pressure rises, but Jointly was aiming to go a step further and personalize services for individuals.

By learning about the patterns of a particular individual’s vital signs, the technology could be developed to predict whether problems may be developing and provide this information to caregivers in advance of an actual emergency.

“Our product continually risk stratifies patients based on the remote biometric data and other remote health data signals we are processing in near-real-time,” Sawyer told MobiHealthNews. “When a patient’s risk state changes and an intervention is required by someone on the patient’s care team, we notify that person in near-real-time.”
 
 
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