Security Aspects
Due to the vast amount
of delicate patient data, the receiving and handling system must have rigorous
data privacy measures. There are security concerns with the usage of AI in the
healthcare industry. The safety of patient’s data and the security of
healthcare systems against cyberattacks play a significant role in healthcare
data, privacy and security. Department of health and human services (HHS) and
the numerous offices and agencies house and play different responsibilities in
the healthcare industry, including several cybersecurity (McKeon, J. 2021,
December 1). Leaders from office for civil right (OCR), the Administration for Strategic
Preparedness and Response (ASPR) and the 405(d) program joined a panel at the
most recent Healthcare Information and Management Systems (HIMSS) Healthcare
cybersecurity (McKeon, J. 2021, December 1).
Due to the
interconnection of the healthcare infrastructure, strong cybersecurity
protocols are also necessary to avoid hacking and data breaches.
Legal Concerns
According to the
abstract, the authors emphasized what researchers discovered that there is not
an exhaustive evaluation of their research that shows any kind of legal issues
that associated to AI- related health problems.
That explains why
applying scoping methods can seek to integrate and analyze the existing
research studying legal issues in health-related artificial intelligence (Silva,
M.D. 2022, June 17).
The scoping review
developed by Arksey, O’Malley, and includes six stages (Silva, M.D. 2022, June
17). The first stage is identifying the research questions. The second stage is
identifying relevant studies. The third stage is study selection. The fourth
study is charting the data. The fifth stage is collecting, summarizing, and
reporting results. The sixth and the last stage is stakeholder consultation
(Silva, M.D. 2022, June 17).
Ethical
and Social Implications
The Ethics of
Artificial intelligence is the part of AI systems that divided into a concern
with the
moral behavior of
humans, when they make, use AI at one hand and a concern of the machine that receives
all this information and applied back to human at the other hand (Müller, V. C.
(2020, April 30).
The use of AI-
based telemedicine for public health can create new opportunities for the
provision of clinical health and even can be a significant help to global public
health system, but it also carries ethical risks that should be identified,
avoided, or mitigated (Tiribelli, Simona, 2023). The
design of AI-based telemedicine for its acceptance in and for public health,
has not yet been addressed by AI ethics framework, despite the current
proliferation of these frameworks (Tiribelli, Simona, 2023).
One of the most
important uses of AI in healthcare after taking the agreement, is Telemedicine
or Telehealth. This kind of AI helped us especially during Covid-19 Pandemic,
when doctors and patients could not physically appear at their medical
appointments to receive their medical screening, diagnostic, and treatment.
Robotic-Enhanced Therapy
Digital
technologies like robots have a big impact on how mankind develops. They have
brought up necessary issues regarding what we should do with, what risk they
pose, and lastly what we must do to manage those risks (Müller, V. C. 2020,
April 30).
People with autism
have trouble interacting and communicating with others. Here comes the huge
help of the social robots for people with autism and ASD by enhancing their
social abilities, teaching constructive actions, and offering encouraging feedback.
This type of therapy is called Robotic-Enhanced Therapy (Quinn, Angela, 2023). Furthermore,
Robotic-Enhanced Therapy is used for patients with mental and speech problems, such
as dementia and Alzheimer’s diseases. Also, people after stroke, or any other
disease that affect their speech and communicating with others. In order to better
understand the concept of mind capacities for social robots and any possible
ethical problems that could come up while applying social robots in healthcare
environments, we must admit that social robots in medical treatment for
autistic patients is useful and successful. At the same time, we should not ignore
the fact that human touch is very important besides advanced technology tools.
Social Problems
Legislation and
other kinds of law that control the society of humans, when functioning mainly in
the field of education improvement in artificial intelligence, have largely
been undisturbed of legal problems (Vellido, A. 2019, February). Shortly, this
technology starts taking over in the wider social venue. However, influencing
to start dominating the wider social stadium, their impact on people will
probably run against several legal difficulties (Vellido, A. 2019, February). Legal
responsibilities are extremely different, when a human is deciding whatever
choices when driving a machine (Vellido, A. 2019, February). Some doctors start
Future
Use
The healthcare organization that can
completely rethink and redesign their workflows and procedures and apply
machines learning and AI to build a truly intelligent health. System will be
the most successful. Another innovation relating to the location of such care has
been made in conjunction with predictive care, in 2030, a hospital is no longer
a single large structure that treats a wide range of illnesses; rather it concentrates
care on the critically ill and highly complex procedures with less urgent cases
being monitored and treated via smaller hubs and spokes, including retail
clinics, same day surgery centers, specialist treatment clinics, and even
people’s homes (Kriwet, Carla. 2020, January 7). Personalized treatment
that considers patient’s genetic makeup and medical history will become more
and more feasible as a result of Artificial intelligence ability to manage big
datasets. Considering the continued development of technological advance, AI is
anticipated to hold an exciting future and become increasingly popular. It will
likely affect a variety of fields, like financial services, healthcare, and
transportation. The job marketplace is going to shift an outcome to AI-driven technology.
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