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Feb 20, 2024
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Uploaded by ProfNarwhalMaster898
English Comp. II
Davina Lucas
11-24-2023
5-6 Persuasive Writing Draft
The Implementation of Artificial Intelligence in Healthcare Management
This topic is very important to me as I am studying for a degree in Business Healthcare
Administration Management. In recent years, the utilization of artificial intelligence (AI) in
healthcare management has gained significant attention. The promise of improved efficiency,
accuracy, and cost-effectiveness has captivated many professionals in the field. However, I argue
against the widespread use of AI in healthcare management due to a variety of reasons that must
be taken into consideration.
One of the primary concerns raised using AI in healthcare management raises concerns about
patient privacy and security. With AI collecting and analyzing vast amounts of patient data, there
is a risk of data breaches and unauthorized access to sensitive medical information. A study
conducted by researchers at the University of California, Berkley found that AI systems used in
healthcare had vulnerabilities that could be exploited by hackers, potentially leading to the
exposure of sensitive information. This could lead to detrimental consequences for patients, such
as identity theft or misuse of personal information in an AI driven healthcare system. Protecting
patient privacy and ensuring the security of their personal information should be paramount in
healthcare management. Patient consent is a key component of data privacy issues since
healthcare practitioners may allow wide usage of patient information for AI research without
requiring specific patient approval. 2018 saw Google acquire DeepMind, a leader in healthcare
AI. When it was discovered that the NHS had uploaded data on 1.6 million patients to DeepMind
servers without the patients’ consent to construct its algorithm, Streams, an app with an
algorithm for treating patients with acute renal impairment, came under criticism. A patient
privacy investigation on Google’s Project Nightingale was carried out in the USA. Data privacy
is now much more of a problem since the app is now formally hosted on Google’s servers. The
potential consequences of data breaches on patients, such as financial loss, stigma, and
psychological distress.
In recent years, healthcare organizations such as Anthem and Equifax have experienced major
data breaches, resulting in the exposure of sensitive patient information. The Anthem breach in
2015 compromised the personal and medical records of nearly 78.8 million individuals. Data
breaches can have severe consequences for patients. Beyond the financial loss that can occur due
to identity theft or fraud, patients may also experience discrimination as a result of their personal
health information being exposed. The emotional distress of knowing that intimate details about
their health are now in the hands of unauthorized individuals can significantly impact a patient’s
well-being.
AI in healthcare management could lead to a loss of human touch and patient-centered care. A
study published in the Journal of Medical Ethics found that patients often value the emotional
support and empathy provided by healthcare professionals, which cannot be replaced by AI
systems. AI systems that collect and analyze patient data without clear consent and transparency
raise concerns about patient autonomy and privacy. Patients may not fully understand how their
data is being used or may be unknowingly contributing to systems that gather sensitive
information without informed consent. This raises ethical questions regarding the balance
between advancing healthcare through AI and preserving patient rights to privacy and autonomy.
While AI can analyze data and make predictions, it lacks the empathy and intuition that human
healthcare professionals possess. Patients often value the personal connection and trust they have
with their healthcare providers, and AI cannot replicate these aspects of care. The human touch is
an important part of the healing process and should not be undervalued or replaced by AI.
Furthermore, relying on AI for healthcare management may exacerbate existing healthcare
disparities. AI algorithms are trained on large datasets, which may not represent diverse
populations. This can lead to biased recommendations and treatments that do not consider the
unique needs and characteristics of individual patients. Additionally, the implementation of AI in
healthcare requires significant financial investments, which may further widen the gap between
well-funded healthcare institutions and those with limited resources.
The complexity of healthcare decision-making cannot be fully captured by AI algorithms. A
review included that AI systems often lack the requisite judgement and expertise to make
complex medical decisions. Medical diagnoses and treatment plans often involve considerations
that require human judgment and expertise. Factors to include patient preferences, clinical
judgment, and interpretations of data. AI may be able to analyze data and provide suggestions,
but ultimately, human healthcare professionals should have the final say in making complex
healthcare decisions. The rapid advancement of AI in healthcare management raises ethical concerns. Who should be
held accountable if an AI system makes a mistake or fails to provide accurate recommendations?
The responsibility for medical decisions should lie with qualified healthcare professionals, not
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with algorithms and machines. With such a critical and life-altering field disregards the ethical
implications and potential harm that can arise.
Proponents of artificial intelligence (AI) in healthcare management argue that it has a potential to
revolutionize the field and improve patient outcomes. One of the benefits they highlight is the
ability for AI to process and analyze vast amounts of medical data quickly and accurately. AI
algorithms can identify patterns and correlations in data that may not be readily apparent to
human healthcare professionals, allowing for more precise diagnoses and personalized treatment
plans. This approach can optimize treatment effectiveness and address patient needs more
effectively, leading to better patient satisfaction and long-term outcomes.
AI technology has the potential to reduce healthcare costs by automating administrative tasks,
optimizing resource allocation, and improving operational efficiencies. AI algorithms can
analyze vast amounts of scientific literature and medical databases to identify potential drug
candidates and predict their efficacy. This can speed up the drug discovery and development
process, ultimately leading to the introduction of more effective treatments. Some argue AI in
healthcare management also can help address the growing shortage of healthcare professionals
by augmenting their capabilities. AI algorithms can assist in identifying individuals at high risk
for developing certain conditions and help healthcare providers intervene earlier.
In conclusion, while the use of AI in healthcare management has the potential to bring about
positive changes including improved diagnostic accuracy, enhanced efficiency, cost savings, and
proactive healthcare interventions. Also, there are significant concerns about patient privacy, loss
of human touch, healthcare disparities, complex decision-making, and ethical implications. As
such, I advocate against the widespread implementation of AI in healthcare management and
believe that human healthcare professionals should remain at the forefront of delivering patient-
centered care, utilizing AI as a supportive tool rather than a replacement for healthcare
professionals' expertise. By having a balance between technology and human touch, we can
ensure that healthcare remains holistic, ethical, and focused on the well-being of patients.
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