The future shape of personalized and precise medicine rests on expectations of a deluge of patient monitoring feeds, new instrumentation revealing gene expression levels, vast molecular biological genomic and proteomic databases that provide multi-leveled views of patient health dynamics.
New accountable care organizations can monitor and influence care; the trick will be in getting applications that can tap into the longitudinal patient data flows systematically.
New data APIs will enable many new kinds of specialty applications involving fine-grained patient data integration tasks. New generation platforms are needed to cover both legacy EHR/HIE data and new emerging data sources such as those tracking patient environmental exposure, therapy, exercise, and other fitness and social interaction evidence. These new applications are to enable personalized and precise health care.
Today, providers are already overwhelmed by irrelevant data. Adding to the proliferation of kinds of data is the problem of maintaining coherent and comprehensive views of data. How many views will be needed? One view not going away will be patient-centric, but other views involve employment, geography, neighborhood, financial, environment, and social interaction aspects of health.
Interoperable technological processes and semantics for data are the foundation for building out these platforms. Improvements in simplified submission (voice) and retrieval (click or swish) can also be merged with these increasingly larger data sources.
One good thing about the future is that it does not come all at once, but building a solid basis for an explosion in healthcare data needs to be underway now. In the following, we consider API architectural platforms as a future-proof foundation for these new healthcare applications.
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