Academic journal article International Journal of Education and Management Studies

Revolutionizing Healthcare through Artificial Intelligence and Virtual Reality

Academic journal article International Journal of Education and Management Studies

Revolutionizing Healthcare through Artificial Intelligence and Virtual Reality

Article excerpt

The globalization of the world is making the world smaller as can be seen in the healthcare sector. Newer technological innovation has helped put health care within our reach. A WHO report posited that the world would be short of 12.9 million health-care workers by 2035. This is as a result cost inherent in training medical practitioners, the logistics involve and time.

Fortunately for us, artificial intelligence and cloud computing is taking over the technology world by storm. Integrating of healthcare with AI and cloud computing with healthcare apps, the problems mentioned above can now be easily tackled.

Literature of review

Cloud computing and emerging artificial intelligence (AI) technologies are rapidly revolutionizing the healthcare sector. Recent research by Microsoft shows that growth in the cloud computing and Artificial Intelligence in the healthcare sector is projected to reach to $6.6 billion by 2021, while the adoption for cloud services in healthcare globally is expected to grow to nearly $9.5 billion by 2020. Cloud computing has finally become imperative within the healthcare sector, and it is finally taking over big data management in this sector. According to Technavio's research in their report, Global Healthcare Cloud Computing Market 2017-2021, the global healthcare cloud computing market is expected to increase in usage by healthcare organization by 21 percent in 2022 (Technavio, 2017). Cloud migration in the healthcare organization is now expedient due to the importance for the security of the data and information stored over a network. Also, artificial intelligence and IoTjoined with cloud computing is making our hospitals automated and more intelligent. With the progress made so far in areas such as"Smart Beds" which can help detect every movement made by the patients and also automatically adjust the height of the bed without any intervention by the third party.

Objectives of the study

The broad objectives of the study are to ascertain ways AI and cloud computing has revolutionized the healthcare sector. Other specific objectives areto

* Understand how AI has helped for easy health diagnoses and check-up with access to your reports anywhere anytime.

* Consult doctors online through health chat or app and getting prescriptions based on your health.

* Cloud computing steerage of real-time health parameters on the cloud through devices which is accessed by the patients and doctor.

Revolutionizing healthcare

With these improvements in artificial intelligence and cloud computing, healthcare delivery and services have now gone past health services in a giving environment but can now be done in the comfort of our homes. With technology beginning to get implemented everywhere, it will fetch great results by reducing costs, improved outcomes of treatments, enhanced patient experience, reduced errors, enhanced management of drugs and improved disease management. The implication of this improvement in artificial intelligence, machine learning, and cloud computing has also helped in-home medication dispensers. This helps to track the time in which the medication was taken as a result of data stored in the cloud.

Cloud computing and artificial intelligence (AI) enables organizations in the healthcare sector take a proactive approach to patient engagement. This technological revolution in this area of healthcare helps organizations to develop ubiquitous relationships while giving each patients self-service access and more power to manage their health uniquely. With the 360-degree in healthcare revolution through the AI and cloud computing, patients can now stay true to care plans and achieve their health goals leading to stronger patient-provider relationships and reduced admissions and readmissions.

From one sizefit all to personalized medicine

Until recently, research focused on one-size-fits-all solutions. Clinical trials aimed to discover solutions for the general population, and can only be made available after years of expensive initial research, lab testing and multiple phases of patient testing (Jiang, Jiang, Zhi, Dong, Li, Ma, Wang, Dong, Shen, & Wang, 2017). …

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