One of the new healthcare trends that we are exploring is artificial
intelligence and automation. With the use of AI and automation
comes improved patient outcomes, lower administrative costs, and
less physician burnout. AI is used in patient care by predictive
analytics and clinical decision support systems (Steger 2020). While
there is a cost to purchase AI software, in the long run it saves money
by predicting complications so that they may be abated or prevented.
AI lowers administrative costs by automating some administrative
workflow. For example, the process for obtaining prior authorizations
is extremely time consuming and with an increase in procedures
required prior authorization comes an increased need for employees
to fulfill the demand. There is a system called Olive that is being
utilized to automate some or all of the prior authorization process.
Olive can check with the plans to see if authorization is required,
initiate the request and update the status. Using Olive also makes the
process more efficient leading to less denied claims, while lessening
the need for additional staff. AI also reduces physician burnout which
leads to less errors. As a bonus there is a system called deep thinking,
which is a part of machine learning. This allows the system to follow
algorithms and operate as a human mind would. Therefore, AI can be
used in place of a surgical assistant by means of robot assistant
surgeries. This allows the second surgeon the ability to perform their
own surgery, increasing profit for the facility.
Olive. (2022, April 18). olive-ai. Olive AI. Retrieved May 5, 2022, from
https://oliveai.com/resources/why-you-should-automate-prior-
authorization-end-to-end
Steger, A. (2020, May 6). How AI Improves Patient Experience,
Outcomes. Technology Solutions That Drive Healthcare. Retrieved
May 5, 2022, from
https://healthtechmagazine.net/article/2020/01/how-ai-improves-
patient-experience-outcomes
Agyemang-Gyau, P. (2021). Artificial Intelligence in Healthcare and
the Implications for Providers. Online Journal of Nursing Informatics
(OJNI), 25(2). https://www.himss.org/resources/online-journal-
nursing-informatics
