Full presentation by Steve Monaghan delivered to healthcare and laboratory medicine leaders at theĀ Roche Efficiency Days (RED) 2018: REDefining perspectivesĀ in Guangzhou, China.
National healthcare systems in many countries around the world are on the verge of collapse. ThereĀ is a simple problem, a growing gap. Healthcare costs are growing at 6-9% compounded by agingĀ populations. Incomes are flat to negative, compounded by aging populations and automation. MedicalĀ care is becoming increasingly exclusive. Our current trajectory is unsustainable. Socially and politically.
Artificial intelligence holds the promise of changing that equation. The three essential laws of technology,Ā Mooreās Law, Metcalfās Law and Kryderās Law, are driving unparalleled discovery in almost everyĀ field of endeavor. Medicine is no exception. The explosion in data is enabling unprecedentedĀ learning in diagnostics, genomics, pharmaceuticals and medicine. Simply, machines are becomingĀ capable of assessments humans are not. Companies such as Google are using up to 46 billion dataĀ points to predict medical outcomes. This corpus of insight is growing exponentially.
Diagnostics are moving into the hands of consumers. In the same way the computing power that put man on the moon rests in your pocket today. This is both a threat and an opportunity. Either way it is unstoppable. The question is how do we use these developments to achieve our objectives in right time, right cost treatment and adopt new preventative healthcare strategies. If we are to change our trajectory in medical access from exclusion to inclusion. To drive efficiency and quality simultaneously, we need to rethink the business model of healthcare. The clock is ticking.
