Microsoft's Healthcare Bot to help organizations screen COVID-19 patients
Microsoft offers its Healthcare Bot service to organizations to respond to help screen patients for potential infection and care on the frontlines of the COVID-19.
For example, the U.S. Centers for Disease Control and Prevention (CDC) just released a COVID-19 assessment Bot that can quickly assess the symptoms and risk factors for people worried about infection, provide information and suggest a next course of action, whether it is contacting a medical provider or managing the illness safely at home. The bot, which utilizes Microsoft’s Healthcare Bot service, will initially be available on the U.S. Centers for Disease Control and Prevention (CDC) website.
Microsoft’s Healthcare Bot service is one solution that uses artificial intelligence (AI) to help the CDC and other frontline organizations respond to these inquiries, freeing up doctors, nurses, administrators and other healthcare professionals to provide critical care to those who need it.
The patients with cold, flu-like symptoms are needed to be screened to determine the quantity of risk factors associated with limited access to medical facilities resources and which people can care for their own safely at home is the major question that bothers the health care system coping with the crises more.
To assist customers in the rapid deployment of their COVID-19 bots, Microsoft is making available a set of COVID-19 response templates that customers can use and modify. Across all users, customized instances of Microsoft’s Healthcare Bot service are now fielding more than 1 million messages per day from members of the public who are concerned about COVID-19 infections.
The Healthcare Bot service is a scalable Azure-based public cloud service that allows organizations to quickly build and deploy an AI-powered bot for websites or applications that can offer patients or the general public personalized access to health-related information through a natural conversation experience. It can be easily customized to suit an organization’s own scenarios and protocols.
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