Perminova has two business units. The Cardio Unit develops and markets web-based software for use in cardiovascular surgery. The Sensor Unit develops medical devices for remote monitoring of patients with chronic diseases. With these two offerings, Perminova’s products span the cardiovascular arena from procedure labs to home monitoring.
The Cardio team is pioneering healthcare’s move from outdated client-server technology to cloud-based computing. Perminova offers customers Software-as-a-Service (SaaS), allowing them to take full advantage of surgical information systems that are far more robust, flexible and cost-effective than those currently available.
Perminova Cardio is cardiac electrophysiology, and is the first cardiovascular information system that’s based entirely in the cloud. Customized for each medical facility, Perminova Cardio is a workflow optimizer that manages scheduling, surgical data, and billing – before, during and after cardiac procedures. Because its browser-based, Perminova Cardio can be accessed anytime, anywhere and on any web-enabled laptop, PC, or mobile device.
The sensor team is developing a novel body-worn sensor for patients with chronic diseases, particularly Congestive Heart Failure (CHF). The sensor monitors patients at home, and is designed to prevent hospital re-admissions. Worn around the neck like a conventional piece of jewelry, the sensor provides early indications of CHF with daily measurements of fluids, heart rate, heart rate variation and respiration rate. It sends information via Bluetooth to multiple gateways, such as mobile devices and Qualcomm’s 2net system.
Future versions will additionally measure complex hemodynamic parameters such as stroke volume and cardiac output. Perminova’s goal is to make at-home monitoring of cardio-pulmonary parameters for heart failure patients as simple as glucose monitoring for diabetics. Current remote monitoring solutions are relegated to technologies such as weight scales, which are insensitive to physiological parameters and unable to characterize early onset of chronic diseases like CHF.