IMPLEMENTING AI SOLUTION IN HOSPITAL AND HEALTHCARE INSTITUTIONS

The Digital Health Learning Collaborative was created
with the intention of advancing this goal and in
acknowledgment of the increasingly crucial role that digital
health advancements in data and analytics play in
accomplishing this goal. The amazing preventative and
therapeutic medical care implications of quick
advancements in artificial intelligence (AI) and machine
learning have become crucial factors for the consortium
over the course of the cooperation. The article you’re
reading now fills a void in the body of knowledge regarding
the fundamental ideas, current state of the art, and potential
future effects of the AI and machine learning revolution for
doctors, nurses, and other clinicians, data scientists, health
care administrators, public health officials, policy makers,
regulators, purchasers of health care services, and patients.
We feel that this publication will be valuable to individuals
looking for relevant, applicable, intelligible, and practical
information regarding significant definitions, ideas, and
potential hazards in this increasingly crucial field as well as
future trends. The majority of poor nations struggle to keep
up with the rapid global technological breakthroughs and
lack access to basic healthcare systems and facilities. The
danger of death is higher for citizens of such a nation. The
WHO estimates that the 18.1-year difference in life
expectancy now observed between the world’s richest and
poorest countries is caused by poor or no access to
healthcare.