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Role of Artificial Intelligence in Healthcare Industry

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Added on  2023/06/03

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This research paper discusses the role of Artificial Intelligence in the healthcare industry. It covers the problem statement, research aim, research questions, research methodology, expected tangible outputs, and new knowledge gained.

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Ruining Head: RESEARCH
Role of Artificial intelligence in the healthcareindustry

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RESEARCH 2
Table of Contents
Research Topic......................................................................................................................................3
Problem Statement.............................................................................................................................3
Research aim.....................................................................................................................................3
Research Questions...........................................................................................................................4
Close-ended interview questions.......................................................................................................4
Research Methodology..........................................................................................................................7
Introduction.......................................................................................................................................7
Research design.................................................................................................................................7
Data collection...................................................................................................................................8
Sampling............................................................................................................................................9
Data analysis......................................................................................................................................9
Resources........................................................................................................................................10
Expected Tangible Outputs..............................................................................................................10
New Knowledge..................................................................................................................................11
Part b: Reflection.................................................................................................................................11
Introduction.....................................................................................................................................11
Conclusion.......................................................................................................................................14
References...........................................................................................................................................16
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RESEARCH 3
Research Topic:Role of Artificial Intelligence in the healthcare industry
Problem Statement
In the current era, it is mandatory for the organization to comprehend the role of Artificial
Intelligence to improve the challenges of the healthcareindustry. This study is effective for
developing understanding of research scholar towards artificial intelligence as well as
healthcare sectors issues (Hengstler, Enkel, &Duelli, 2016). Moreover, the artificial
intelligence permits the healthcare organization to effectively manage their huge amount of
information and get a reliable outcome. It would support hospitals to store their data at one
place with higher security and simply imply it wherever firm want to practice the stored data
in their business operation. In addition, it is also evaluated that research methodology could
be imperative for the accomplishment of the organizational task. These are research design,
data collection, data analysis method, and sampling method. It could be effective for the
accomplishment of the research task as well as conducting the research in a systematic
manner. It supports to understand the implication of study as it could be effective for their
study. It could be imperative for performing the study in future time (Jiang, et. al., 2017).
Research aim
The primary aim of this research is to address the role of Artificial intelligence in the
healthcare sector. There are many research objectives that could be accomplished to meet the
aim in a systematic manner and obtained reliable outcome:
To comprehend Artificial intelligence andhealthcare sector performance
To discover the role of Artificial intelligence in the healthcare sector performance
To recommend approaches for enhancing the practices of Artificial Intelligence in the
healthcare industry.
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RESEARCH 4
Research Questions
Research questions could also be imperative for making a reliable decision in the context of
the current matter.
What is the meaning and concept of the Healthcare industry and Artificial
Intelligence?
How is Artificial intelligence influence healthcare sector performance?
What are the approachesto enhancing the practices of Artificial Intelligence in the
healthcare industry?
Close-ended interview questions
Demographic factor
Please mark your gender
A. Masculine
B. Feminine
Please mark on your age-group
A. Under 21
B. 22-27 years
C. 28-32 years
D. More than 32
Please mark your experience
A. Less than 1 years
B. 2-6 years
C. 7- 11 years
D. More than 12 years
Research objectives based questions
To comprehend Artificial intelligence and healthcare sector performance

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RESEARCH 5
Do you agree that it is mandatory for the healthcare organization to comprehend the role of
Artificial Intelligence to improve the challenges of the healthcare industry?
A. Strongly Disagree
B. Agree
C. Neutral
D. Agree
E. Strongly Agree
In your opinion, artificial intelligence permits the healthcare organization to effectively
manage their huge amount of information and get reliable outcome?
A. Yes
B. No
Do you think that artificial intelligence permits hospitals to store their data at one place with
higher security and simply imply it wherever firm want to practice the stored data in their
business operation?
A. Strongly Disagree
B. Agree
C. Neutral
D. Agree
E. Strongly Agree
Do you that the healthcare industry could be an imperative part of individuals life?
A. Strongly Disagree
B. Agree
C. Neutral
D. Agree
E. Strongly Agree
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RESEARCH 6
To discover the role of Artificial intelligence in the healthcare sector performance
Do you think that the management team of the healthcare industry could conduct many
activities that are related to the planning, recruiting, suitable method section, training, and
development, and make an appropriate decision?
A. Yes
B. No
In your opinion, artificially intelligence could be effective for making the flexible atmosphere
at the working place?
A. Strongly Disagree
B. Agree
C. Neutral
D. Agree
E. Strongly Agree
Do you think that artificial intelligence directly influences the performance of the Healthcare
industry?
A. Strongly Disagree
B. Agree
C. Neutral
D. Agree
E. Strongly Agree
To recommend approaches for enhancing the practices of Artificial Intelligence in the
healthcare industry.
Do you think that Artificial intelligence strategies could be imperative for improving the
performance of the Healthcare industry?
A. Strongly Disagree
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RESEARCH 7
B. Agree
C. Neutral
D. Agree
E. Strongly Agree
Do you agree that research methodology is an imperative tool to collect feasible information
about the research matter?
A. Strongly Disagree
B. Agree
C. Neutral
D. Agree
E. Strongly Agree
Research Methodology
Introduction
The research methodology plays an imperative role in the accomplishment of the research
matter. In the research, different kinds of research methods are considered by the researcher
to conduct their research like research design, data collection, sampling, and data analysis
method (Wong & Bressler, 2016). It could leadthe firm to collect information about the
research issue.
Research design
Research design leads the researcher to collect information about current research matter for
the accomplishmentof the research aim. In the research methodology, qualitative and
quantitative research design, and mixed research design. The qualitative research design is
imperativeive for collecting conceptual information about the current research issue.
Moreover, the quantitative research design could be imperative for obtaining the factual
information in the context of research issue (Hamet & Tremblay, 2017). Moreover, it is also

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RESEARCH 8
examined researcher will imply the mixed research design that would be imperative for
accomplishment getting conceptual as well as factual data with respect to the role of artificial
intelligence in the healthcare industry. The mixed data collection method could be
imperativefor increasing the quality of the research outcome. In addition, it is evaluated
thatthe researcher will systematically conduct the research by considering this method.
Data collection
This method is an appropriate way for accumulating relevant data with respect to the aim and
objectives of the research. There are two types of data collection method named primary data
collection method and secondary data collection method. Fresh and innovative data is pooled
from research participants by the research scholar in the primary data collection method.
Secondary data is utilized by the investigator to support the findings of collected information.
There are several sources that help to gather secondary data such as authentic websites,
articles, journals, books and annual report of the organization (Kumar, et. al., 2017).
Secondary data collection method is collected by the research study of the different
researcher as it would create the possibility of getting lower quality research outcome. Hence,
this method is occasionally used by the research scholar and the main responsibility of the
investigator is to evaluate the correctness of secondary data while this method is being used.
In contrast to this, primary data collection method is practiced by the researcher for
accumulating the data from their selves and to relate their research with the specified
geographical area which describes the investigation in a relevant way whereas, secondary
data is utilized in making the hypothesis. Primary data collection technique takes more time
and money as compared to secondary data collection technique (Patel& Patel, 2016).
Consequently, the researcher would practice primary data by interviews, survey,and
questionnaire as it could facilitate the research scholar to describe the research study in an
appropriate manner. In this research, primary data was gathered by a questionnaire-based
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RESEARCH 9
survey because it is not expensive, easy to handle and offers assured privacy. Further, this
method helps to attain a valid and reliable outcome. The researcher will also use the
secondary data collection method for gaining conceptual information in the context of
artificial intelligence in the healthcare industry.
Sampling
The sampling method is useful for choosing an accurate sample size because this method
would be prominent for performing the research study and obtain a valid result. Further,
sampling methods consist two types of tools which are probability sampling technique and
non-probability sampling technique (Shukla, Lakhmani, & Agarwal, 2016, April).
Probability sampling technique is practiced for choosing the research participants randomly
to perform the research study. This technique facilitates the research scholar for declining the
partialities from the investigation and obtain an actual result. Beside this, a non-probability
sampling technique is utilized to choose the research participants as per their gender, sex,
experience, education,and age for performing the investigation in an efficient manner. The
non-probability sampling method is appropriate with interpretive philosophy. This technique
is less cost consuming method as compared to the probability sampling method. Further,it is
also analyzed that a more appropriate outcome would be produced by a larger sample size.
Research scholar has chosena non-probability sampling technique in this investigation for
accumulating their perception and beliefs of the research participants relatedto research
concern and achieving the aim and objectives of a research study (Dimitrov, 2016).
Data analysis
Data analysis is an imperative part of research methodology which facilitates the research
scholar to attain the reliable and appropriate outcome. Research scholar would evaluate the
accumulated data by utilizing a statistical analysis method. MS-Excel program would be used
by the investigator for statistical analysis to interpret the information in a relevant manner.
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RESEARCH 10
Moreover, this method is utilized for the presentation of various kinds of graphs like the
column chart, bar diagram,and pie chart. These charts support the research scholar to gain
depth understanding of data (Elhoseny, et. al., 2018).
Resources
In the research,the investigator will use many resources to conduct the research like an
appropriate amount of money, academic journals, stationery, and other. In the research,
mainly two kinds of resources will be considered by the researcher like primary and
secondary resources. It could lead to obtaining reliable information in the context of the
current matter (Lu, Li, Chen, Kim, & Serikawa, 2018).
Following resources would be required for completing the project:
SR. No. Resources
1 Identification of research issues
2 Literature review
3 Collection of data through primary sources
4 Assessment of data through feasible
techniques
5 Findings and results
6 Write-up of research
Expected Tangible Outputs
Artificial intelligence is imperative for increasing data security as well as flexibility in the
healthcare sector. This method leads the healthcare firm to improve the performance of the
organization in a systematic way. This study is emphasized todetermining the relationship
between Artificial intelligence and healthcare industry. This study will provide knowledge of
components will be effective for the attainment of the research in a reliable manner.

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RESEARCH 11
Furthermore, this technique enables to comprehend the many strategies that could be
imperative in improving the practices of artificial intelligence. It could also be effective for
conductingeach research activity systematically in the upcoming period (Manogaran,
Varatharajan & Priyan, 2018).
New Knowledge
A research scholar confronted for many issues at the time of conducting the research study.
Hence, the investigator will concentrate on the effective use of Artificial intelligence and
eliminate the issues of healthcare section. Consequently, the researcher would be capable to
collect reliable information in the least time and cost with respect to the research issue. For
this research, the investigator uses 50 research candidates to conduct their research that could
create an issue for the researcher to meet the aim and objectives (Silverman, 2016). It can be
summarised that mixed research design would be used to gather the qualitative and
quantitative information about the role of artificial intelligence in healthcare industry.
Part b: Reflection
Introduction
This report presents the skills, experience and learning that I have improved throughout the
research. It also demonstrates the new insights that I have developed during the research
process.
From the research, I have developed my knowledge regarding the role of Artificial
intelligence in the healthcare industry. This research was beneficial for me to work in the
healthcare sector. Throughout this research, I have created my knowledge regarding the
problem statement. In this way, I have addressed the research problem and discussed the
central issues (Ledford&Gast, 2018). This research has developed my understanding
regarding the motivation, aim,and objectives, and scope of the investigation. I have learned
that artificial intelligence in the healthcare sector is the use of algorithm and software that is
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RESEARCH 12
proximate to the cognition of human in the assessment of complex medical information. In
addition, I have pointed out that AI is the competency to computer algorithms, which is
proximate to the conclusion in spite of individual input. This learning experience would be
utilized by me to make a career in the healthcare industry. I have also developed my
understanding that artificial intelligence can aid to avoid the shortage of qualified clinical
employees by taking over some of the diagnostic responsibilities usually distribute to
humans. I have pointed out that artificial intelligence may aid to procedure routine requests
from the inbox such as result notification and medication refills (Humphries, 2017). This
artificial intelligence would be used by me to prioritize the tasks that highly require focusing,
involved landman and creating an easy procedure for users to work via their to-do lists. This
learning would be beneficial for making further investigation in the future. I have generated
my knowledge that artificial intelligence helps to enable virtual biopsies and making an
advance and innovative field of radiomics. This would be utilized by me to emphasize the
harnessing image-based algorithms and differentiate the phenotypes and genetic properties of
tumors. Thus, it helps to develop my career in the healthcare industry. I have also increased
my awareness about the ways of using AI in the healthcare sector (Alvesson & Sköldberg,
2017). In this way, I have observed that AI can screen via slides and direct us to the right
thing to identify the essential and unimportant things. This learning experience has increased
my efficiency for using the pathologist and gaining the time worth they spend for each
holder. Thus, this learning experience has developed my technical skills. Earlier this
research, I have a lack of understanding about the role of artificial intelligence,however, after
the research, I have generated my awareness about the role of artificial intelligence in the
healthcare industry.
I have also developed my knowledge about the pros of using AI in the healthcare industry. In
this way, I have gained my experience that AI can enhance productivity by addressing the
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RESEARCH 13
characteristics of interest in slides before reviewing the information via human clinician. This
experience would be exercised by me during the implementation of AI.
In this research, I would be able to develop my depth-understanding regarding the use of
artificial intelligence. Since, I have created my knowledge that artificial intelligence helps in
using the next generation radiology technology that is accurate and detailed enough. It would
be beneficial for me to replace the requirement for tissue samples in certain cases. I would
also utilize this learning to get personal and professional growth (Humphries, 2017).
This investigation has improved my learning about the research questions. In this way, I have
learned that there are different question used to answering the research questions. It would
enable me tosolve the overall research issues. During this research, I have generated my
knowledge about the research methodology. I have pointed out that research methodology is
used to systematically pool the information. In this way, I have generated my knowledge
about the data collection method, data analysis methods, Research design, and resources. This
aspect would be used by me to make further research in the future. However, I faced
challenged because some of my team memberswere not supportive and they focus on creating
conflicting rather than focusing on research. I have also learned that research design is used
to complete the aim and objectives in a systematic way. It is also observed that there are
certain types of research design such as qualitative, quantitative and mixed research design. I
have gained my knowledge that qualitative research design is used to collect theoretical
information regarding the role of artificial intelligence in the healthcare industry. I have also
created my understanding of the quantitative research design. In such a way, I have pointed
out that quantitative research design is used to capture the numeric information associated
with the research problems. Throughout this research, I have built my knowledge about the
data collection method. In this way, I have learned that data is collected through the primary
and secondary data collection methods (Alvesson&Sköldberg, 2017). This learning

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RESEARCH 14
experience would be applied by me to collect the data in a feasible way. During this research,
I have increased my knowledge of the different sources of primary and secondary data
collection method. In this way, I have observed that primary data is gathered via different
sources such as survey through questionnaire and interview, Along with this, I have created
my awareness about the sources of collection the secondary information such as literature
review. I have noticed that primary data providereliable and valid data. However, at the same
time, I have learned that secondary data gathering technique will take less time and provides
authentic information. Throughout this investigation, I have created my knowledge about the
sampling. In this way, I have observed that sampling is used to choose the sample from a
large number of population. I have also enhanced my learning about the probability sampling
method. In this way, I have learned that probability sampling aids to decline the possibility of
biases from research due to random selection. During the selection of the sample, I faced
difficulties in terms of choosing the sample as I have a lack of understanding regarding
different sampling techniques. However, my supervisor was supportive that helps me to
choose the sample via a feasible technique.
This research is beneficial for me to comprehend the data analysis technique. In this way, I
have learned that pooled data from this research will be assessed through statistical data
analysis technique. It is pointed out that MS-excel software is used to present the pooled
information through different tables and bar graphs, pie chart, and column diagram. This
research would be beneficial for me to assess the pooled data in further research (Ledford &
Gast, 2018).
Conclusion
From the above discussion, it can be concluded that this research has developed my
understanding of the role of artificial intelligence in the healthcare industry. It has also gained
my insight about the problem statement and research methodology. This research has built
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RESEARCH 15
my research and technical skills. I have also created my knowledge regarding the data
collection method and data analysis methods that would helpto me to systematically meet the
aim and objectives of the research. It has developed my skills for making further research.
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RESEARCH 16
References
Alvesson, M., &Sköldberg, K. (2017). Reflexive methodology: New vistas for qualitative
research. USA: Sage.
Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthcare
informatics research, 22(3), 156-163.
Elhoseny, M., Abdelaziz, A., Salama, A. S., Riad, A. M., Muhammad, K., &Sangaiah, A. K.
(2018).A hybrid model of the internet of things and cloud computing to manage big
data in health services applications. Future Generation Computer Systems, 86, 1383-
1394.
Hamet, P., & Tremblay, J. (2017).Artificial intelligence in medicine. Metabolism, 69, S36-
S40.
Hengstler, M., Enkel, E., &Duelli, S. (2016). Applied artificial intelligence and trust—The
case of autonomous vehicles and medical assistance devices. Technological
Forecasting and Social Change, 105, 105-120.
Humphries, B. (2017). Re-thinking social research: anti-discriminatory approaches in
research methodology. UK: Routledge.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ...& Wang, Y. (2017). Artificial
intelligence in healthcare: past, present,and future. Stroke and vascular
neurology, 2(4), 230-243.
Kumar, P.M., Gandhi, U., Varatharajan, R., Manogaran, G., Jidhesh, R. and Vadivel, T.,
2017.Intelligent face recognition and navigation system using neural learning for
smart security in the Internet of Things. Cluster Computing, 3(1), pp.1-12.
Ledford, J. R., &Gast, D. L. (2018). Single case research methodology: Applications in
special education and behavioral sciences. UK: Routledge.

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Lu, H., Li, Y., Chen, M., Kim, H., &Serikawa, S. (2018). Brain intelligence: go beyond
artificial intelligence. Mobile Networks and Applications, 23(2), 368-375.
Manogaran, G., Varatharajan, R., &Priyan, M. K. (2018).Hybrid recommendation system for
heart disease diagnosis based on multiple kernel learning with adaptive neuro-fuzzy
inference system. Multimedia tools and applications, 77(4), 4379-4399.
Patel, S., & Patel, H. (2016).Survey of data mining techniques used in healthcare
domain. International Journal of Information, 6(1/2).
Shukla, S., Lakhmani, A., &Agarwal, A. K. (2016, April). Approaches to artificial
intelligence in biomedical image processing: A leading tool between computer vision
& biological vision. In Advances in Computing, Communication, & Automation
(ICACCA)(Spring), International Conference on(pp. 1-6). IEEE.
Silverman, D. (Ed.). (2016). Qualitative research. USA: Sage.
Wong, T. Y., &Bressler, N. M. (2016). Artificial intelligence with deep learning technology
looks into diabetic retinopathy screening. Jama, 316(22), 2366-2367.
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