Should Robotics and Artificial Intelligence be Implemented in all Health Care Setting

Should Robotics and
Artificial Intelligence
be Implemented in all
Health Care Setting

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
Article 1: Sheppard, F. (2018). Artificial intelligence: Implications for the health care risk
manager? American Society for health care risk management, 38(2), Pp.5-5.......................1
Article 2: Tim Richards, Artificial Intelligence in Healthcare. (2018)..................................1
Article 3: AI Adoption in Healthcare. 2020...........................................................................2
Article 4: Vogel, L.(2017, Feb 27). Plan needed to capitalize on robots, AI in health care.
Canadian Medical Association. 189(8), E329-E330 (350)....................................................2
Article 5: Impacts of Robotics on Motivation and Employment in Healthcare. (2014)........3
Article 6: Srivastava, T.K., Waghmare, L. (2020, Mar). Implications of Artificial Intelligence
(AI) on Dynamics of Medical Education and Care: A Perspective. Journal of Clinical and
Diagnostic Research, 14(3)....................................................................................................3
Article 7: Christopher Khoury and Adam Palanica, Introducing Artificial Intelligence
Training in Medical Education. 2019.....................................................................................4
Conclusion.......................................................................................................................................4
REFERENCES................................................................................................................................5

INTRODUCTION
Artificial intelligence refers ability in which people uses computers to replicate intelligent
behaviours Gunning, (2017). Robotics refers an interdisciplinary research area at interface of
computer science which includes designs and use of robots. This present study is going to show
reasons and arguments of using artificial intelligence in social and healthcare setting and for that
it will discuss both positive and negative sides of implications of AI. It will also show some
strategies, effective ways and plan by which AI and robotics can be implemented in an effective
manner in social and health care setting without getting affected and lastly, it will show
effectiveness of AI on dynamics of medical education.
MAIN BODY
Article 1: Sheppard, F. (2018). Artificial intelligence: Implications for the health care risk
manager? American Society for health care risk management, 38(2), Pp.5-5
In the context of Artificial intelligence it can be said that it is an ability of computers and
machines to perform functions which previously relied on human intelligence. It can be said that
technology has changed this world to the great extent as Millions of people have access to smart
phones which can be used for multiple purposes like GPS, weather monitoring, entertainment,
news updating and many more. So, it can be said that technology has made functions easier for
people and companies. In the context of health and social care setting, it is stated by...... that uses
of AI in this sector can change the way of providing health care services and its level in a
positive and effective manner. Machine learning which is an effective components of AI, it can
be said that it has an ability to organizes data as well as stimulating human intelligence. If it is
being used in health and social care setting then it can make all functions of data processing and
decision making easy.
Article 2: Tim Richards, Artificial Intelligence in Healthcare. (2018)
In the context of positive sides and favour of implementing AI in healthcare sector, Tim Richards
stated that Ai technology and machine learning can make professionals and doctors able to make
data driven decisions in a better way, increasing disease diagnosis efficiency and reducing
unnecessary hospital visits along with high patient stay rate in hospitals. So, it can be said that
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from all above discussed effectiveness that AI is one of the best ethnology which is beneficial for
both doctors and patients as it helps them out in customized treatment plan, diagnostic
capabilities and predicting diseases.
Article 3: AI Adoption in Healthcare. 2020
On the other hand, Valeriy Ilchenko AI Adoption in Healthcare, (2020) argued and said
that there are several consequences and negative effects which AI and this machine learning
technology can have in this sector. One of the main disadvantage and negative effects of these
technologies is it reduces human involvement as for making patients feel comfortable and
valued, it is important for doctors to meet them and provide them sympathy but due to uses of AI
and machine learning, Doctors do not engage themselves with patients in surgery robots and it
may affect health of patient and their feelings. Other main negative effects is it is increasing
unemployment rate as it can be said that technology has increased unemployment rate because
there is no requirement of human efforts as all works and functions are being done with
technologies. Chat bots and robots have an ability to provide mental health help, analysing
conditions of patients’ health and foresee some kinds of problems like cardiac arrest and
sepsis. There is possibility of defective diagnosis as AI database should contain sufficient
information about the patients of specific group and for providing better treatment there is
requirement of face to face conversation and detailed information Sun & Medaglia, (2019)..
So, overall it can be said that AI has both positive and negative effects but still it has
several advantages as compare to negative effects for both doctors and patient. So, it can be
said that from this arguments that AI should be implemented in health and social care setting
for health care risk management.
Article 4: Vogel, L.(2017, Feb 27). Plan needed to capitalize on robots, AI in health care.
Canadian Medical Association. 189(8), E329-E330 (350)
In the context of ways of using Ai in health care and capitalizing on robots it is important to
evaluate several national strategies which are being used by Canada’s healthcare settings. There
are several ways of using this system and knowing the best one is important because many
authors believe that AI and robotics in healthcare is not good and have several negative effects.
So, for making them aware about effectiveness and positive effects, it is important to identify the
best way and plan needed to capitalize. It is found that people are trying to use wearable tech
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