Everyone deserves high-quality, easily accessible healthcare. Various artificial intelligence (AI) approaches are already in use to bridge the gap between human health rights and frontline realities. Essen Health Care, a premier healthcare delivery platform for underserved communities in New York, has announced a partnership extension with MyndYou after a successful pilot program on the use of MyEleanor. This is an AI-powered virtual care assistant by MyndYou that aims to meet healthcare needs, especially in underserved communities. 

Essen Health Care (EHC) will now use MyEleanor to check in on their patients’ well being, especially those from the underprivileged communities and Spanish-speaking individuals who struggle to access healthcare. It will be used for patients who report to urgent care centers and those who are part of Essen’s Chronic Care Management (CCM). 

MyEleanor’s powerful AI not only takes information from the patient but also uses smart technology to detect changes in speech, which might indicate deteriorating health. The AI-powered assistant can detect various health concerns including chronic and emerging medical conditions, fall risks, and non-adherence to medication. Early health risk assessment helps the medical team to intervene timely to prevent complications and emergency visits. 

MyEleanor can also conduct surveys and pre-visit screenings. It can even independently enroll patients to relevant programs and services. The platform offers two languages to the users: English and Spanish. Users can adjust the frequency of calls and can opt-out of any program they got enrolled in by MyEleanor. 

So far, highly effective results have been achieved with MyEleanor. Check-up calls by the AI assistant resulted in timely clinical action in 12% of patients, 20% of patients were referred to physicians, 5% were referred to post-hospital programs, and 12% of patients were able to get much-needed medical supplies such as blood pressure machines and glucometers for at-home surveillance of their medical condition. The approach seems to be far more efficient and effective than human outreach alone.