During the past decades, many health care organizations have incorporated digital technologies into their operational sectors. However, they frequently adopted a fragmented strategy for many initiatives, such as installing electronic health record (EHR) systems, developing apps, and experimenting with disruptive technologies like artificial intelligence (AI), while holding a conventional approach in their treatment procedures and consumer engagement. Only recently have we begun to see technology being leveraged to deliver accurate, user-friendly solutions that are supported by reliable data.
Despite recent claims that AI would soon surpass human intelligence, this idea can be disproved by analyzing what AI cannot do in comparison to natural intelligence. Our existing work process, as we know is systematic and standardized with a data-driven approach, which artificial intelligence can clearly perform more efficiently than humans. Having the technology to take up the rigorous and mundane tasks, people have a significant opportunity to rethink the fundamentals of “value creation” “meaningful work” and “work-life culture” across industries. Therefore, the potential of AI to perform automated tasks allows us to explore unique human characteristics like imagination, creativity, curiosity, morality, ethics, and emotional, cultural, and social intelligence. However, the fact that AI is growing at an electric speed also creates a lot of challenges for us to acclimatize and be ready for future transformation.
Advances in data analytics have resulted in the development of advanced tools that can evaluate and process data and information in order to accurately predict the occurrence of cyber-attacks and prevent them before any security lapse occurs.