Artificial intelligence is certainly the hottest health technology. Most healthcare systems began to implement artificial intelligence systems, at least with pilots. But there are early days in the development and evolution of AI in healthcare.
Tom Kiesuu is the innovation director and leader, digital and technological transformation, in Chartis, a significant consulting company of healthcare. Kiesuu has a long -term vision of AI’s possibilities and promises in the industry.
This vision includes taking care of the rapidly aging population of the nation among the constantly growing financial pressure, focusing on both the clinical artificial intelligence and operational artificial intelligence, the creation and evolution of operational models and artificial intelligence management, as well as inventing various approaches to the method of providing healthcare because
Here, this week, Himscast, Kiesuu defines this vision and explains why it is critical for the future of AI in healthcare.
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Talking points:
- AI is a huge potential to boost the basic transformation that is needed in the healthcare system: to solve the rapidly aging population in the country among the constantly growing financial pressure.
- How will AI a necessary component of bending the macro health care curve?
- There are two main AI implementation vectors and both will have to be developed to make AI’s promise: AI clinical and operational AI.
- How does AI evolve in both of these domains?
- How will health care systems have to create and constantly evolve their operating and AI management to fully apply AI, in the lightweight of AI technical realities, as well as the appearing landscape of legal and ethical problems?
- In 2024, most healthcare systems have already piloted or scaled AI initiatives.
- A significant impact on industry will require completely different approaches to how to provide healthcare due to the constantly developing AI abilities.
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