Artificial Intelligence and Healthcare Management: A Report

This report analyzes the impact of Artificial Intelligence (AI) on healthcare, focusing on its implications for healthcare managers. It examines how AI enhances healthcare utilization through improved drug development, diagnostic tools, and accessibility of treatments. The report emphasizes the importance of AI in improving patient satisfaction by enabling efficient cancer screening and expert-driven pathological analysis. Additionally, it highlights AI's role in optimizing staff efficiency by addressing the human resource crisis in healthcare. The study uses the Mid Florida Cancer Centre as a case study, exploring the impact of AI on various stakeholders, including administrators, doctors, nurses, and patients. The analysis covers challenges and opportunities in applying AI, including increased patient admissions, enhanced diagnostic capabilities, and potential for increased profits and automation. The report also includes a management training program with guidelines and recommendations for healthcare leaders to effectively manage the adoption of AI.

Name
Institutional Affiliation
ARTIFICIAL INTELLIGENCE IN HEALTHCARE

Introduction
 Artificial intelligence is the use of complex and complicated
algorithms to emulate human operations. Human cognition is
analyzed by machines and they are emulated specifically by
these machines. In health care computer algorithms the
computers are programmed to assimilate human brains. AI
creates the ability of the machines and the computers to carry
out decisions and technicalities without the help of direct
human input. Artificial intelligence has the capability of
processing raw data into information that can be defined and
be relayed to the end user. What places AI different from the
rest of the technologies is that it is able to recognize patterns in
human behavior and adapt them. Apart from adapting human
behavior artificial intelligence also has the capability of using
logic to define what they should do. However, there is a margin
of error on the dependency of artificial intelligence.

Why should health care managers be aware of artificial
intelligence?
 Health care utilization
 Increasing patient satisfaction
 Optimizing staff levels of efficiency

Health care utilization
 Health care utilization is one area which forces health care
managers to keep in trend with artificial intelligence. In
definition health care utilization is the use of health care
services in a manner that it provides help to the public. It is the
health care services on people and the public from different
agencies for the purposes of preventing, curing and promoting
maintenances of health and well being of the health statuses of
different persons who need it the most (Dean, Moss, McCarthy,
& Armstrong,2017).
 Utilization of health care is actualized in many different ways.
Prevention and cure is one way through which health care
utilization is actualized. Other forms of health care utilization
include; obtaining information from the public about health
status, conducting levels of prognosis of different infection and
analyzing disease data at different levels.

Artificial intelligence
 Healthcare

Health utilization
 Firstly through artificial intelligence new and improved drugs have been
formulated. These new and improved drugs can easily be disseminated with the
help of artificial intelligence. A perfect example of improved drugs is anesthesia
and analgesia. The improvement of anesthesia and analgesia has subsequently led
to the growth of ambulatory surgery. Surgery has been made easier through
adopting less invasive ways that the previous non-treatable pains and surgeries.
New drugs have been invented through the actualization of artificial intelligence
which has the ability to lengthen the course of the disease and cure at times at
increased cost but very worth it (Dunn, Moore, Miao, Kirsner, & Koru‐Sengul, 2018).
 Combinations of artificial intelligence have been so effective to the extent some
drugs are used to manage more than one infection. HIV/AIDS and cancer have
been managed efficiently through artificial intelligence (Jiang et al.,2017) Artificial
intelligence has enabled a combination of chemotherapy for many types of cancer
to be managed against other life style conditions like diabetes. Through artificial
intelligence forms of machine learning have now been combined. A perfect
example is scanning machines which have been combined using artificial
intelligence so that the same machine handling scanning is the same one that
handles technical things like combined positron emission, X-rays, computed
tomography, positron emission tomography and magnetic resonance imaging.

Health care utilization
 Artificial intelligence has made it easier for the mentioned health care
resources to reach a huge number of the public. Medical equipments
have been reduced through artificial intelligence in ways they are easier
to use and transport. The easier transportation makes it easier for the
health care managers to transport them to different places at they get
ways in which men can be helped. Complex forms of treatment through
the help of artificial intelligence can leave hospital premises and reach
places where they are essentially needed like homes and houses.
 Since the average length of hospitalizations is decreased through the
help of artificial intelligence, health care managers should think about
artificial intelligence as a way of providing health care utilization to the
public (Lee et al., 2020). From the advantages of artificial intelligence
mentioned above it is clear that health care utilization has been made
efficient and easier. It is the role of health care manager to be aware of
trends in artificial intelligence which will help in the bettering of health
care services and utilization to the people.

Patient satisfaction
 Health care managers should be concerned about patient satisfaction.
Patient satisfaction is only achievable through quality provision of health
care services. Quality of care involves obtaining the required service
and the availability of accessing the care. Health care organizations and
managers have continued to push for the satisfaction of patient
experience in most health care facilities. Patients for the longest time
have complained of poor cancer care quality since health care
organizations are strapped for time and limited to quality care.
 Health care organizations only depend on providers who limit quality at
the expense of pay. Out of the concern for quality, health care managers
should think about artificial intelligence. Artificial intelligence has the
capability of performing cancer screening for many patients within a
limited time without the help of any human. Primary health care
providers might not be at a position to provide care, but development of
artificial intelligence might just be the solution needed.

Patient satisfaction
 Additionally, patient navigators always remained
an intelligent way of sifting through patient
pathology. However, the method has been
inefficient and a concern to most health care
organizations and managers. The pathological
reports of most patients were not pathologically
expert provided.
 Health care managers thinking through finding a
solution have to consider artificial intelligence
which definitely provides for an efficient process
dictated by expert opinion and professional
analysis.

Optimizing staff level of efficiency
 Health care as an industry suffers from human resource crisis.
There are not enough health personnel in the country, starting
from registered nurses to medical physicians. The human
resource crisis is widening worldwide. From the obvious
analysis, it is impossible to provide patient care efficiently
without proper care. A lot of patients receive half baked care
or no care at all due to limited persons with the technique to
care of them.
 The human gap can only be filled through finding a
technological option. The best trend that can fill the gap of
human resources crisis experienced in health care industry is
artificial intelligence. Health care managers should think
about using artificial intelligence since it has the capability of
facilitating diagnostics and influencing decision making just
like professional humans do

The impact of artificial intelligence to
stakeholders in Florida Cancer Centre
 Mid Florida Cancer care has
confessed of using artificial
intelligence and with it a lot has
changed or bound to change within
the hospital if they have not changed
yet. The experience of everyone has
changed from the stakeholder;
administrators to patients have
changed in ways that have been
discussed below;

Management and
administration
 Running a cancer hospital has always been something of a logistical
nightmare. It is also important to note that in America the number of
cancer patients from the state, the country and the globe have made it
almost impossible to get bed space, there is poor visibility and increased
waiting times.
 The adoption of artificial intelligence would mean a lot for administrators
and management of Mid Florida Cancer Centre (Maddox, Rumsfeld, &
Payne, 2019). The Centre has adopted Artificial Intelligence powered
analytics platforms that use machine learning as a technique. For the
management and administrators their work has been made a little simpler.
 The machine is able to predict the emergency rate of a patient to be given
a bed space or not. The machine has, therefore, reduced the work load for
the managers having to decide which patients require bed spaces more
than the others. The predictive capability of the machines has made it very
accurate to approximate the duration within which each of the patients will
require the bed space. For administrators work has just become easier
than ever before.