19 Nov How Madison’s EnsoData unlocks dormant data for sleep physicians, speeding up diagnosis and treatment
A Madison-based startup that has developed artificial intelligence technology to unlock data for sleep physicians is on the fast-track after it successfully closed a multimillion-dollar Series A round, and quadrupled its customer base over the past year.
EnsoData uses Waveform AI and machine learning to analyze health data, including from EMR, EKG, wearables and other sources. Its flagship product, EnsoSleep, provides sleep scoring software to sleep center physicians across the country. The company claims clinicians are freed from the manual processes of “poring over data points to reach conclusions” with the software, allowing them to repurpose their time for diagnosis and treatment of sleep conditions in patients.
Sleep disorders are often indicative of broader health problems, such as obesity, depression, diabetes or stroke, said EnsoData CEO and co-founder Chris Fernandez. By leveraging the technology built into its platform, health care systems can quickly identify patients at high-risk for sleep disorders like sleep apnea, and provide a treatment plan before their health issues are exacerbated.
“Today, more than 80 percent of sleep clinics manually, visually analyze the results of a sleep study,” Fernandez said. “There are 40,000 patients for every one physician, and a three- to six-month waitlist to get in from any health care provider. It’s a huge constraint on specialists.”