Bayesian Health, a startup created by a machine learning researcher at Johns Hopkins, is building models for sepsis detection, patient deterioration and bedsores. The company recently emerged from stealth mode with backing from Andreessen Horowitz.
The company, which uses asynchronous video visits to help patients take their medication, raised a series A round led by Claritas Health Ventures.
After making gradual inroads over the past few years, the hospital-at-home model has seemingly had its breakthrough moment. That came in November, when the U.S. Centers for Medicare & Medicaid Services (CMS) introduced its “Acute Hospital Care At Home” wavier program. The creation of CMS’s wavier — a COVID-19 relief measure — has created a …