Healthcare 4.0 = IoT + AI + Genomics
Frank Kumli
Shaping the Future: Future-Thinking, Strategy and Transformative Innovation!
Honored to have been part of this panel organized by Urika.co on how technology will transform healthcare. My fellow panelists and myself all brought very different perspectives, but the common denominator is certainly that Health(care) as we know it today will look very different in 5-10 years from now.
My take on it: the transformation of Healthcare will be enabled by the convergence of three technologies:
Healthcare 4.0 = Internet of Things + Artificial Intelligence + Genomics
Healthcare 4.0 will be highly Connected, will provide Feedback Loops and be highly Specific, providing the right health intervention to the right patient (or health consumer) at the right time.
Healthcare 4.0 will bring new opportunities for all involved stakeholders to participate, including the patients themselves, patients, healthcare providers, pharma, medical technology companies, policy makers, payers, insurers and many others.
It is difficult to precisely predict the future, but it is very possible -and critical- to understand the boundaries of this future. This exercise allows designing the business models that will deliver and capture value in this new environment.
At EY, we are supporting clients across industries to frame the boundaries of their future and derive the business models that will help them compete in this changing environment. I found this process extremely rewarding, in my role working with Life Sciences players, as the convergence of trends in this particular industry will necessarily drive new business models that are fully targeted at (further) improving health outcomes.
Check out the full article on how technology with transform Healthcare:
MD #PrecisionMedicine 精密医学 Ambassador, Keynote Speaker, industry advisor 30K+ Followers #Biotech #Diagnostics #DrugDiscovery #Innovation #StartUps #ArticialIntelligence #Investing
8 年Frank Kumli as much as I am in support of your vision I would caution the impact of genomics, which is not only more complex than previously thought, but may play a secondary role as compared to environmental/lifestyle impact reflected in epigenetic regulation of gene expression; i.e. the phenotype appears more likely to enable predicitive analytics guided by a multi-omics approach combined with machine learning as we at InnVentis build our health & disease management ecosystem..