Application Artificial Intelligence In Health And Wellness Perspective Assessment Answer

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Question :

Write a literature review on application of artificial intelligence in health and wellness perspectives.

You will need to conduct a literature review. The review should be based on academic articles. Conduct the search on Scopus and or other academic databases and select the article for your document.

Introduction 3 Search strategy (keywords, inclusion, exclusion etc.) 2 Results


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Answer :

APPLICATION OF ARTIFICIAL INTELLIGENCE IN HEALTH AND WELLNESS PERSPECTIVE


1. Introduction

Artificial Intelligence (AI) plays an essential role in the wellness and health context as it is beneficial for managing as well as analyzing data. It is also useful for analyzing the relationship between patient outcomes and treatment techniques (Musikanski et al. 2020). The aim of using health-related AI within wellness and health centers is simply to emulate cognition of humans in analyzing medical complicated data. In the current study, the focus is made on highlighting different search strategy that is used for searching relevant information related to the topic. In addition to this, different words that are used for finding appropriate articles are also highlighted in that part. Secondly, results, analysis, and relevant information emphasize important areas that meet the aim of the study, which is to evaluate the application of AI in health as well as wellness. Different theories, such as the "Unified theory of acceptance" are highlighted in the mentioned part for availing its benefits. Lastly, discussion and conclusion are provided for getting an overall idea about the present topic.

2. Search strategy

The secondary search strategy is followed for completing the current task by the researcher, which includes collecting information from journals which are available online. The data base which has been used on this case ScienceDirect and Proquest. Besides, in order to gather relevant information regarding the present topic, the researcher focused on highlighting key terms. 

2.1 Key Terms 

Key termsMeanings
Artificial IntelligenceIt is referred to as the simulation of the intelligence of human in the machines
WellnessLiving a good and healthy lifestyle
HealthMental, physical as well as social well-being
Disease managementCoordinated interventions of healthcare for implementing self-care efforts
Automation Technology through which performances are performed with only minimum assistance of human

Table 1: Key terms that were used for searching for information

2.2 Inclusion and Exclusion Criteria 

Inclusion criteria of different books and articles were searched following:

  • Only journals of recent years, such as between 2016-2020
  • Online articles, which include relevant information
  • Journals that are written in a language (English)

Different sources that were excluded from the current study include:

  • Journals or articles that are too old, such as before 2016
  • Books and websites have been overlooked 
  • Online articles or books that are not of language “English”

The search engines that were used include:

  • ScienceDirect 
  • ProQuest

3. Results, relevant information, Analysis

3.1 Concept of Artificial Intelligence

Machine learning has simply provided the potential for providing data-driven CDS (Clinical Decisions Support) to hospital staff and physicians. Based on the viewpoint of Musikanskiet al. (2020), AI is designed to use data and algorithms, identify patterns for giving automated insight to the users. It also enables one to make decisions easily with accuracy and speed.

3.2 Importance of Artificial Intelligence in wellness and health perspective

Automating tasks stands as an important benefit that can be received by making use of Artificial Intelligence. According to Calegari et al. (2020), analyzing big medical data of any person and automating any tasks are the benefits that are derived from AI. It helps in delivering proper and faster healthcare facilities as well as lowering costs. It can easily automate tasks, like maintaining health records, pre-authorizing insurance, and follow-up unpaid bills. For example, AI enables one to assess one's health that eradicates the need for visiting hospitals. On the contrary, Chou (2020) highlights that risk of anonymity and privacy is considered as the issue that is faced while using AI in wellness and health context. The ethical risk of “privacy right" is faced by users of AI due to the storage and collection of data from different sources. Moreover, the safety and security of important information also face the risk due to the misuse of algorithms (medicolegal) by hackers simply for building autonomous techniques.

3.3 Different applications of Artificial Intelligence within healthcare

The system of artificial intelligence is designed to handle Complex information in the shortest possible time. By the views of Musikanski et al. (2020), artificial intelligence can be used in Healthcare for the identification of complex cognition of human data and analyze complicated medical information. This suggests that the use of artificial intelligence can be used for analyzing the patient's entire medical history in a short interval of time. The technology can also analyze the different measures that can be applied to the patient for faster recovery.  In addition to this, using health-related AI within wellness and health centers is simply to emulate the cognition of humans in analyzing medical complicated data. It is also useful for analyzing the relationship between patient outcomes and treatment techniques. This measure includes the saving of time that can be further utilized in improving the health condition of an individual. As argued by Rashidet al. (2020) extensive use of artificial intelligence is done to analyze and evaluate the relationship between the prevention and treatment process for an individual. This suggests with the process of artificial intelligence the patient can automatically evaluate the preventive measures that can be undertaken for sustaining a healthy lifestyle. Apart from that the technology also helps to introduce the time of treatment that helps in generating positive outcomes from the patient. Therefore, the patients can get regular updates about their health measures without any delay. This process also handles the reduction of error and monitors the health of an individual on a digital platform that enhances the experience of the user.

3.4 The Unified theory of acceptance and use of technology or UTAUT 

This theory emphasizes the acceptance of technologies by the users and "subsequent usage behaviors" that are directed "towards a unified view". As stated by Venkatesh et al. (2016), there are three determinants such as social influence, effort expectancy and performance expectancy that drive the user's intention to accept technology usage and "subsequent usage behaviors". Social influence refers to the impacts of the surrounding society, peers over the user that manipulate them to start using technologies. On the other hand, performance expectancy refers to the performance benefits offered by respective technology that motivate a user to show acceptance towards using that technology. 

The utilization of "artificial intelligence or AI" technology within the health and wellness sector is often influenced by the principles of UTAUT theory due to the level of social impacts and preference facilities associated with it. Companies belonging to the health and wellness industry often implement advanced technologies such as AI and others, within their operating system to avail performance benefits such as tracking patient's data, communicating with patients. 

3.5 Implementation and Impact of AI in healthcare 

Social influence including the success responses received by other health care entities also plays a major role in manipulating the health care organizations to implement the same technologies within their system. However, Butow and Hoque (2020), has argued that the implementation of AI technology within the healthcare sector is associated with high setup costs, which often becomes problematic for health care entities. Patients are being overcharged by the health care companies for managing the high costs invested by them for implementing advanced Ai technologies and other useful technologies in their operations.

As per the view of Musikanski et al. (2020), AI is designed to use data and algorithms, identify patterns for giving automated insight to the users. It also enables one to make decisions easily with accuracy and speed. AI within wellness and health centers is simply to emulate cognition of humans in analyzing medical complicated data. As argued by Chou (2020), the application of AI in healthcare is also beneficial as it helps to improve the proficiency and the efficiency level in an effective way. At the same time, it has been found that it can mitigate the urgent situation and provide an effective way to find out the way to resolve any kind of problem. In addition to this, it is seen that the innovation of AI has the ability to improve the advancement of technology which is an important part to make improvement in the technological advancement process. From the perspective of Gomez et al. (2019), the technology can also analyze the different measures that can be applied to the patient for faster recovery. This measure includes the saving of time that can be further utilized in improving the health condition of individual concern. However, the use of artificial intelligence can be used for analyzing the patient's entire medical history in a short interval of time.

From the perspective of Riañoet al. (2019), AI technology has a strong impact on the healthcare organization as it is fruitful to discover the drug and the process of development. However, drug discovery and the development of this process are the key aspects of health care and wellness. Based on the analysis it is seen that AI technology is one of the faster tools than ever before whichprovides a strong positive impact on the health care and wellness organization. On the contrary of Musikanski et al. (2020), the application of AI technology has also used in disease management that coordinated interventions of healthcare for implementing self-care efforts. Ai technology within the healthcare sector is associated with high setup costs, which often becomes problematic for health care entities. As stated by Butow and Hoque (2020) the technology of AI has mostly used in the diagnosis and the application of the treatments in the health care organization. In addition to this, it is seen that the proper application of this technology is fruitful for diagnosing blood-borne bacterial infections. Furthermore, Ai technology within the healthcare sector is associated with high setup costs, which often becomes problematic for health care services. As stated by Gomez et al. (2019)using health-related AI within wellness and health centers is simply to emulate the cognition of humans in analyzing medical complicated data. It is also useful for analyzing the relationship between patient outcomes and treatment techniques. This suggests with the process of artificial intelligence the patient can automatically evaluate the preventive measures that can be undertaken for sustaining a healthy lifestyle. Apart from that the technology also helps to introduce the time of treatment that helps in generating positive outcomes from the patient. 

4. Discussion and conclusion

4.1 Discussion 

From the above study, it has been found that with AI technology in healthcare and wellness it improves the performances in an effective way. From the perspective of Chou (2020), it is found that the proper initiation of the services needs to be maintained in an effective way, according to the present scenario it is seen that the Social influence refers to the impacts of the surrounding society, peers over the user that manipulate them to start using technologies. On the other hand, performance expectancy refers to the performance benefits offered by respective technology that motivate a user to show acceptance towards using that technology. By the views of Musikanski et al. (2020), artificial intelligence can be used in Healthcare for the identification of complex cognition of human data and analyze complicated medical information. According to Calegari et al. (2020), analyzing big medical data of any person and automating any tasks are the benefits that are derived from AI. It helps in delivering proper and faster healthcare facilities as well as lowering costs. 

4.2 Conclusion

Based on the earlier discussion it can be concluded that the entire study has mainly based on the impact and the application of the AI in health and wellness.  In addition to this, using health-related AI within wellness and health centers is simply to emulate the cognition of humans in analyzing medical complicated data. It is also useful for analyzing the relationship between patient outcomes and treatment techniquesMoreover, it can also be concluded that with the help of these techniques the health care organization can also improve the preferences in an effective way.  The proper implementation of these services has a strong impact on organizational services and increases the level of efficiency in an effective way. Accordingly, it is seen that it also helps in delivering proper and faster healthcare facilities as well as lowering costs. Therefore it can be said that AI enables one to assess one's health that eradicates the need for visiting hospitals.