In old line models, attempting a new care or payment model meant long planning and development cycles. The cost and complexity of testing new models prevent many from being tried.
Where healthcare processes are well understood and predictable (e.g., surgeries), applying a manufacturing mindset is very appropriate. It's akin to setting up an assembly line at an auto plant at great expense. Once that is done, it can be used for a long period of time and is worth the upfront investment.
In the case of chronic conditions, though, it's going to take iteration for many years as it involves complexity of the variety humans present to the healthcare system. In an agile system that has modern software economics (i.e., dramatically lower cost), it's feasible to do smaller scale tests. If they prove successful, they can be expanded.
Innovators such as Iora Health, WhiteGlove Health and Qliance rethought the care delivery and payment models from the ground up. Their results have been impressive.
The next wave of innovators are taking advantage of second-mover advantage as the wave of healthtech startups provide them off-the-shelf software that is an order of magnitude less investment than the first wave of innovators. Change is already happening faster than many expected.
Read more: Article: Healthcare’s Age of Agility Will Shuffle Market Leadership | Insurance Thought Leadership