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Inverting the
spending model
Healthcare lags all sectors of the economy in adoption of advanced information and digital technologies. This is partly because most healthcare systems run out of budget and resources building low-value and expensive data management infrastructure focused on reporting and regulatory compliance.
Integrating fragmented
and siloed technology:
While our understanding of healthcare and wellness is defined within a continuum of inter-related clinical, behavioral (socio-economic and cultural), environmental, and genetic factors, the healthcare system is extremely compartmentalized and broken into very many silos of narrowly focused interventions.
Precision Medicine is not enough. We need a Personalized Experience:
While healthcare systems are struggling to adopt the most basic levels of data-driven and evidence based medicine, entrepreneurs and technology providers such as google, Amazon, Apple, Microsoft, and Intel have combined forces to push the envelope by conceptualizing and promoting a model.
Accelerating advanced analytics by protecting private health information:
While we advocate for large scale and enterprise adoption of advanced analytics, the complex, computationally-intensive, and data-hungry nature of AI/DL/ML algorithms limit many to effectively apply and use these technologies. Not all health systems have enough data to solve data driven problems.