Practitioner Attitudes towards an Early Warning System : From Professional Distraction to Relational Support

Abstract

As the general population ages and life expectancy increases in the United States, demand for virtual health care is on the rise. Undoubtedly, the next several decades will see increases in automated patient care and use of data-driven warning systems, trends which have already accelerated in the wake of Covid-19. Thus, understanding how traditionally trained healthcare practitioners respond to predictive analytics, like early warning systems, is vital for their successful implementation in the future.