ARE YOU READY FOR CHANGE?
DIGITAL HEALTH PLATFORM (DHP)
RACE IS ON.
As U.S. Healthcare transitions to Value-Based Care (VBC), the race is on for DHPs to form the new normal of healthcare delivery in a modern digital world. DHPs have great potential to realize the original vision of a Learning Health System - a system where
Why now? Regulations such as the 21st Century Cures Act are empowering innovation previously limited to incumbent players. Market levers such as open API incentives and information blocking penalties are in play. A larger story is developing.
THE DIGITAL GIANTS aRE IN.
Digital giants such as Apple, Amazon, Microsoft, and Google understand the platform scaling game. They have the resources to take on a $3.3 T Healthcare cost challenge that even the largest incumbents lack. They are now active participants and launching DHPs, consumer devices, and platform tools targeting Healthcare.
The race is fully on to build best in class DHPs to drive cognitive computing (e.g., AI, Cloud) to the next level. In anticipation, incumbent players such as payers, EHR vendors, etc. are also building out DHPs atop existing infrastructures.
A perfect storm of disruption is in place for both incumbents and new innovators to truly make impact at scale through DHPs. Although many Learning Health System components are forming through regulations, market competition, and HIT standards, many organizations lack capabilities to plug in effectively.
PLUGGING IN IS STILL HARD.
Open standards such as HL7 FHIR are paving the way but plugging in has always been complex. Are Health Information (HIT) standards ever done? Is it the lack of regulations, standards, or technologies? No. In fact,
There are too many THINGS
Too many things to track implies complexity. Too many decisions to make. Too many HIT standards to track for both system integration and interoperability.
HOW TO INNOVATE WITH IMPACT?
Which use cases to focus on? Should you use HL7 FHIR? Which version? What about SNOMED CT? Do you buy or build? If you build, what tools are best in class? Move to Cloud? Which one? Public, hybrid, or multi-cloud? What about AI? How to move past initial inertia and get started?
HOW TO ACHIEVE
In order to adapt to Digital Health disruption, organizations must not only increase their capabilities with DHPs, Informatics, and APIs but also develop innovation strategy for cognitive computing (e.g., AI, Cloud) in parallel. Whether you are Fortune 500 or a startup, your culture needs to adapt to change.