For almost all governments and nations on the planet, providing better health care with lower costs is top of mind. There are conflicting studies on how to improve outcomes and lower costs, and the movement forward is slow, because health care ecosystems are very complex.

Certainly this is the case in the United States. We use the term “ecosystem” purposefully, because health care in most countries isn’t actually a single system, irrespective of public financing models, but it is a multifaceted interaction of numerous disconnected systems and processes. The “diagnosis” for many contemporary health care ecosystems is that they are inefficient.   We will see tremendous improvement in outcomes, delivery efficiencies and efficacy of new drugs/treatment regimens as well as the overall health of our citizens if we can reduce the friction in the health care ecosystem. That entails reducing duplication of efforts, improving the quality of shared data, streamlining processes as well as data sharing and improving insight into how the ecosystem is working with real-time and predictive analytics.   Smarter health care means we’re “instrumenting” all the technical systems, components and devices so that they are able to interconnect and share data with one another (and human users). Then, we’re enabling both systems and humans to be more intelligent in making critical decisions - becoming more knowledge-rich and insightful in achieving smarter health care. The beneficiaries of these advancements are consumers and public health in general.

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