Dissertation Proposal: Artificial Intelligence Transforming Healthcare

This dissertation proposal investigates the role of artificial intelligence in the healthcare industry, addressing the problem statement of increasing data and the need for efficient interventions. It aims to explore the meaning and concept of AI in healthcare, address its role in the sector, and recommend ways of using AI effectively. The research employs an inductive approach, content analysis, and literature review to gather and analyze data. The expected outcome is a better understanding of AI's conceptual aspects, its role in healthcare, the pros of its use, and practical implementation methods. The proposal outlines the research methodology, including research approaches, strategies, design, data collection, and analysis, emphasizing the importance of systematic research to achieve reliable outcomes. The study anticipates contributing new knowledge regarding the systematic application of AI to mitigate healthcare challenges.

Running Head: DISSERTATION PROPOSAL
Role of Artificial intelligence in the healthcare industry

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Table of Contents
Role of artificial intelligence in the healthcare industry..............................................................................2
Problem Statement...................................................................................................................................2
Aim and objectives..................................................................................................................................3
Research questions..................................................................................................................................3
Research Methodology................................................................................................................................3
Research approaches...............................................................................................................................4
Research strategies..................................................................................................................................4
Research design.......................................................................................................................................5
Data collection.........................................................................................................................................6
Data analysis method...............................................................................................................................6
Research purpose.....................................................................................................................................7
Resources................................................................................................................................................7
Expected Tangible Outputs......................................................................................................................8
New knowledge.......................................................................................................................................8
References...................................................................................................................................................9

DISSERTATION PROPOSAL 3
Role of artificial intelligence in the healthcare industry
Problem Statement
The healthcareindustry is ripe for a different transformation. From chronic diseases and cancer to
risk assessment and radiology, there is a never-ending opportunity to leverage the technology to
organize more efficient, defined and impactful interventions at precisely the right instant in a
patient’s care.Patients demand more from providers and the amount of existing data continue to
gain an incredible rate. In this way, artificial intelligence is used as an engine that drives the
improvement across the care continuum (Alvesson&Sköldberg, 2017).
AI provides a high amount of benefits as compared to conventional analytics and clinical
decision-making tools. Learning algorithms can develop into a more precise and accurate way
because they communicate with training information, and permitting individuals to increase
unprecedented awareness into the diagnostics, treatment variability, care procedures,and patient
outcomes.
Moreover, radiological images created by CT scanners, MRI machines, and x-rays provide non-
invasive transparency into the internal performance of the individual. However, there are
different diagnostic procedures that would depend on the physical tissue samples collected
through biopsies. It creates risks such as the potential for the virus. Artificial intelligence would
competent the next generation of radiology technique that is feasible and detailed enough in
terms of replacing the requirement for tissue sample in certain cases. It is also assessed that
inadequacy of trained healthcare staffs such as radiologists and ultrasound technicians can limit
the access to life-saving treatment in developing regions in around the globe. In this way,
artificial intelligence can aid to avoid the impact of the deficit of qualified clinical employees by
allocating the certain diagnostic responsibility to humans (Dimitrov, 2016).

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Aim and objectives
The main aim of this investigation is to address the role of artificial intelligence in the healthcare
sector. Following are the objectives of this research that helps to attain the main aim of this
research:
RO1: To explore the meaning and concept of Artificial intelligence in the healthcare industry
RO2: To address the role of artificial intelligence in the healthcare sector
RO3: To recommend the ways of using Artificial intelligence in the healthcare industry
Research questions
Following are the research questions that would aid to complete the research in a systematic
manner:
RQ1: What are conceptual understandings about artificial intelligence in the healthcare industry?
RQ2: How artificial intelligence can influence the performance of healthcare industry?
RQ3: which strategies could be effective for successfully implement the Artificial intelligence in
the healthcare industry?
Research Methodology
The research mythology section plays an imperative role in collecting feasible information with
respect to the current matter. There are many methods that are considered in research
methodology like research approaches, research strategies, research design, data collection, data
analysis method, sampling method, ethical consideration, and research limitation. These methods
could enablethe researcher to conduct research systematically and get areliable outcome in the
context of the current matter (Elhoseny, Abdelaziz, Salama, Riad, Muhammad, &Sangaiah,
2018). These methods are discussed below:

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Research approaches
Research approaches are imperative for conducting the research issue. There are certain
approaches that could are considered in the research like inductive and deductive approach.
In this research, the researcher will use the inductive approach facilitates the researcher to
conduct the research appropriate and get a feasible result. The inductive approach is effective for
collecting theoretical data with respect to about research issue. The deductive approach will not
be practiced by the researcher because it supports to make a hypothesis for conducting the
research and get a reliable result. The inductive approach is practiced for collecting theoretical
information about research issue (Hamet& Tremblay, 2017). This approach is also known as the
top-down approach and it is appropriate with positivism philosophy. It would lead to getting
reliable information in the context of research issue. The inductive research is also effective for
collecting data and aids researcher to create an approach for the study. Moreover, it is known as
the bottom approach to applying with interpretivism philosophy. The inductive approach allows
examining collected data in depth and supports to get information with respect to the current
issue. This approach facilitates the research scholar to collect a huge amount of information with
respect to the role of Artificial intelligence on the performance of the healthcare sector. It
facilitates to determine the relationship between consumer loyalty and deceptive advertising.
Moreover, the deductive approach also supports to concentrate on examining the quantitative
information that makes it inappropriate for this research study. Thus the deductive approach is
not practiced by the researcher to meet the aim of research (Patel& Patel, 2016).
Research strategies
The strategy of research study facilitates the investigator for getting reliable information
regarding research matter. There are several strategies that are practiced by the company such as

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literature review, survey through a questionnaire, case study, and content analysis. Research
strategy could be prominent for accumulating the relevant data towards the research issues.
Research scholar would utilize a content analysis technique to achieve the aim and objectives of
research concern. It enables the researcher to attain the aim of a research study in minimum time.
Accumulation of fresh data with respect to research dilemma is not required due to this research
scholar would not execute a survey through questionnaire method. Research scholar would use
literature review method and content analysis technique for attaining the feasible information
towards the research dilemma (Shukla, Lakhmani, &Agarwal, 2016, April). The research
strategy is the systemic method of data collection that ensures data availability for accomplishing
objectives of effectively. In this research, research will imply a survey through questionnaire
method and literature review to collect the information about the research issue. Survey through
questionnaire tool is effective for getting opinion and views of the research candidate towards the
research issue. Apart from this, the literature review approach is an effective tool for obtaining
conceptual information in the context of the current issue (Silverman, 2016).
Research design
It is another section of research design this is practiced for accomplishing the aim and objectives
of the research issue. Qualitative, quantitative, and mixed methods are considered in the research
design. The qualitative research is effective for developing the understanding of specified
research issue. This tool emphasized many factors such as opinion, thoughts, and language as it
would be imperative to make a reliable decision. Moreover, the qualitative research design could
consider many methods like a focus group, questionnaire, interview, and experiments. In this
research, the mixed data collection method will be practiced by the researcher to conduct the
research as it would decline the overall quality of the research outcome (Wong&Bressler, 2016).

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Data collection
The data collection is imperative for collecting information about the research issue. There are
two kinds of methods that are considered in the data collection method like primary and
secondary data collection tool. Moreover, the primary data collection method is an imperative
tool for obtaining information about the research issue. There are certain sources that are
considered by the research scholar to obtain sources like interview method, observation method,
and survey through questionnaire method (Brewster, Chung, and Sparrow, 2016). Moreover, the
survey through questionnaire method is an imperative tool for collecting views of the research
candidates towards the current research matter. It would also be imperative for solving the
research issues and meet the aim and objectives of the research issue (Fortino, Guerrieri, Russo,
andSavaglio, 2014, May).
Data analysis method
A data analysis tool is an imperative tool to examine the collected information and get a
favorable result. There are certain sources that could be imperative for systematically evaluating
the data and get areliable outcome in the favor of the research issue named Ms-Excel software
and literature review method to evaluate the data. In this, Ms-Excel software will be practiced for
evaluating the factual information about research issue (Fan, Yin, Da Xu, Zeng, Y. and Wu,
2014). Apart from this, it is also evaluated that research the literature review method will be
practiced by the researcher to evaluate the theoretical information to reach at the valid conclusion
(Burns, Luckhardt, Parlett, and Redfield, 2014).
Research purpose
Research purpose assists the investigator to enhance and refine their understanding and
knowledge with respect to research concern successfully. On the basis of the research,problem,

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nature research scholar could utilize explanatory, exploratory and descriptive. Exploratory
research supports the research scholar to discover somewhat innovative but it does not provide a
certain and valid key to the investigation problem. Beside this, descriptive research is practiced
to elaborate and evaluate the performance and features of research participants that considers
their perception, beliefs, approach and other imperative factors which are associated with
research study (Cambriaand White, 2014). There isa certain purpose consisted in the descriptive
research such as explaining, validating and describing. Different research findings which are
efficiently practiced in the depth evaluation of research dilemma. Moreover, explanatory
research is practiced to describe the research concern in the context of varied and various
variables. Research purpose is also utilized to find out reasons and consequence of relationships
among various variable that is needed to describe for obtaining the objectives of the research
study. Exploratory research is chosen by the research scholar for this dissertation as it facilitated
them to evaluate the solutions related to the role of artificial intelligence in the healthcare
industry. In this dissertation, explanatory research is not practiced as it is relied on earlier
experience without including the present experience (De Vasconcelos, Gouveia, and Kimble,
2016).
Resources
There are certain resources that could be considered by a researcher at the time of conducting the
research as it is discussed bythe following table:
SR. No. Resources
1 Research problems identification
2 Literature review
3 Data collection by considering by primary

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sources
4 Evaluation of data by considering tools
5 Results and findings
6 Final write up and submission
Expected Tangible Outputs
This research would be beneficial for understanding the conceptual aspect related to artificial
intelligence in the healthcare industry. This investigation would be advantageous to comprehend
the role of artificial intelligence in the healthcare industry. It would be helpful for understanding
the pros of using artificial intelligence in the healthcare industry. This would help to comprehend
the ways of practicing artificial intelligence in the healthcare industry.
New knowledge
It can be concluded that the researcherfaces many problems at the time of performing the
research. Therefore, it is examined thatthe researcher will focus onthe systematic way of
practicingArtificial intelligence and declines probabilities ofthe healthcare issue. Moreover, the
investigator would be capable to obtain reliable data in the least time cost in the context of
research matter. It can also be summarized that the mixed data collection method could be
imperative for conducting the research by collecting factual and theoretical information in the
context of a research issue.

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References
Alvesson, M., &Sköldberg, K. (2017). Reflexive methodology: New vistas for qualitative
research.USA: Sage.
Brewster, C., Chung, C. and Sparrow, P., 2016. Globalizing human resource
management.Routledge.
Burns, H., Luckhardt, C.A., Parlett, J.W. and Redfield, C.L. eds., 2014. Intelligent tutoring
systems: Evolutions in design.Psychology Press.
Cambria, E. and White, B., 2014. Jumping NLP curves: A review of natural language processing
research. IEEE Computational intelligence magazine, 9(2), pp.48-57.
De Vasconcelos, J.B., Gouveia, F.R. and Kimble, C., 2016, July.An organisational memory
information system using ontologies. In Atas da Conferência da Associação Portuguesa
de Sistemas de Informação 3( 3), pp.8-11.
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.
Fan, Y.J., Yin, Y.H., Da Xu, L., Zeng, Y. and Wu, F., 2014.IoT-based smart rehabilitation
system. IEEE transactions on industrial informatics, 10(2), pp.1568-1577.
Fortino, G., Guerrieri, A., Russo, W., andSavaglio, C., 2014, May. Integration of agent-based
and cloud computing for the smart objects-oriented IoT. In Computer Supported
Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International
Conference on (pp. 493-498). IEEE.

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Hamet, P., & Tremblay, J. (2017).Artificial intelligence in medicine. Metabolism, 69, S36-S40.
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.