Challenges and Benefits of AI Adoption in Healthcare: A Global Perspective
Keywords:
Artificial intelligence in healthcare, diagnostic competence, personalized care, AI-based business processes, data protection, AI bias, AI legislation, AI development, Internet of Medical Things (IoMT), block chain, precision medicine, disparities in health care, globally, and health, care, sustainability.Abstract
One of the most significant trends of today’s healthcare is based on the usage of Artificial Intelligence for the changes of the whole healthcare system, as well as the evolution of the diagnostic tools, the uniqueness of approach to patients, effectiveness of the option that is needed for organizing the system of Healthcare. The following possibilities schooled that information technologies and, in particular, artificial intelligence can solve the problems of the growth of costs and deficit of the health care workers and uneven distribution of the health care all over the world. However, with II also come its disadvantages such as data privacy influences; biases in algorithms; regulatory limitations; and resistance from staff, including healthcare providers. Ironically, liberties of ethic such as openness, responsibilities and evenhandedness may be taken to right structures of AI are used. Thus, from this paper, we are recommending that as AI advancement continues there is an opportunity in healthcare of improving the IoMT via integration of block chain to offer better, faster and secure patient care. At the same time, at the patient level, it has integrated the concept of individual and precision medicine based on artificial intelligence state for changing the algorithms of treatment by offering individual treatment based on genomics and phenotype of patients. But, learning from these accomplishments there are some challenges to the development of the health systems worldwide including; low toned technological equipment to make relevant, affordable, and adoptable Artificial Intelligence solution. In addition, it assumes the specification of the right policies and of ethical code of conduct as well as the continuous co-engagement of AI, clinicians and policy-makers. Here are the issues for which there could hardly be any arguments as to why AI can and will revolutionize the delivery of healthcare in future to become Fair Efficient and with Patient-Centricity across the world.
