Mr Darby’s AI Healthcare Journey Ends Sugar-Free
By Jennifer Dunphy  |  Aug 09, 2021
Mr Darby’s AI Healthcare Journey Ends Sugar-Free
Image courtesy of and under license from Shutterstock.com
The US healthcare system continues to lose millions of dollars in avoidable inpatient care despite massive funding. To build a reliable, sustainable, and effective US healthcare system one must understand how population health breaks down into its constituents. First, a system for delivering care to many people is needed. Second, the means to build, maintain and improve the system is required. Lastly, engaging with target populations is required, those individuals receiving the care.

CALIFORNIA - All names have been changed, but the story is based on real events.

Mr Darby, a 72-year-old man, was back in the emergency room. It was the seventh time this month alone. The nurse, assigned to him from his medical group was not surprised, neither was his daughter. Mr Darby had been frequenting the emergency room for four months now. He would become very dizzy and fall and require another trip to the local hospital. The septuagenarian spoke only Vietnamese and his daughter Vietnamese and broken English. Translating was difficult as neither his nurse nor his primary care physician spoke any Vietnamese. Mr Darby’s hospital bill for the past four months was US$392,000. There are millions of Mr Darby’s across the United States healthcare system, and they continue to cost the system valuable dollars in avoidable inpatient care.

In the first three months of 2021, investors flooded the market, investing almost US$10 billion in healthcare tech, while companies in the sector hit a US$9.8 billion market cap. The US government has invested upwards of US$30 billion to enhance healthcare related data exchange. All sectors of healthcare investment were record breaking, surpassing even 2019 levels. The US is funding healthcare, medical tech above all, at alarmingly ever-higher rates. Why is the US healthcare system still broken after this massive funding? What are the lessons learned, and how can an improved system be built for a better tomorrow for patients and providers al

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