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).
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:
Research questions could also be imperative for making a reliable decision in the context of the current matter.
Demographic factor
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Research objectives based questions
To comprehend Artificial intelligence and healthcare sector performance
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?
In your opinion, artificial intelligence permits the healthcare organization to effectively manage their huge amount of information and get reliable outcome?
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?
Do you that the healthcare industry could be an imperative part of individuals life?
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?
In your opinion, artificially intelligence could be effective for making the flexible atmosphere at the working place?
Do you think that artificial intelligence directly influences the performance of the Healthcare industry?
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?
Do you agree that research methodology is an imperative tool to collect feasible information about the research matter?
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 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 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.
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 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.
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 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. 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).
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:
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Resources |
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Identification of research issues |
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Literature review |
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Collection of data through primary sources |
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Assessment of data through feasible techniques |
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Findings and results |
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Write-up of research |
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. 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).
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.
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 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 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 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 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.
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.
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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