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“Our chatbot technology gives employers an incredibly simple-to-use and convenient front-end solution to help keep their workplaces safe and healthy,” Hasselberg said.
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Michael Hasselberg, M.S., Ph.D., co-director of the University of Rochester Health Lab, called the screening tool a great success story for the project team led by senior software developer Daniel Hudy.
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We are giving away our code for free to all employers who can use it as a way of giving back during this health crisis.” “Based on tremendous interest in our technology from other universities and employers of all types, we realize that our tool can be beneficial far beyond our institution in fighting the spread of COVID-19. Chatbot as an efficient way to screen front-line health workers each day and reduce the potential spread of infection inside our medical center,” said Stephen Dewhurst, Ph.D., vice dean for research at the University of Rochester School of Medicine and Dentistry. The technology was developed by the University of Rochester Health Lab, which works to help transform care delivery through the use of smartphone mobile applications, virtual and augmented reality technologies, and the use of artificial intelligence. Daily email or text messages to remind employees to complete the brief survey questions.Employers will determine the call to action, which could be to call their manager, check with a health professional or get a COVID-19 test Depending on survey answers, employees receive a green check mark if they are cleared for work or a red “X” requiring other action.Examples could include potential COVID-19 symptoms such as a fever, sore throat, cough, body aches or loss of taste or smell A survey with questions determined by individual employers.Seven avatars representing a range of friendly onscreen health professionals who conduct the daily symptom checks on a rotating basis.
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Chatbot” screening tool, first created for internal use among health care workers at the University of Rochester Medical Center (URMC), is now available free as open source software.
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