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As the general population ages and life expectancy increases in the United States, demand for virtual health care is also on the rise. Undoubtedly, the next several decades will see a rise in automated patient care and the widespread 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. Our findings both reinforce and also extend previous research on tele-ICU’s and early warning systems, offering important insights into the relational and organizational dynamics that underlie their implementation. Overall, healthcare workers are more willing to accept the use of technology in their workplace when they see tangible benefits to themselves. Administrators who were removed from everyday interactions with algorithmic systems were highly skeptical of their utility.