Predicting the future of healthcare

Richard Fouts writing on UX collective blog:

Advancements in AI, data science and smart machines, particularly their contribution to algorithmic medicine, will radically improve clinical care as important decisions are made faster and with greater accuracy. Of particular promise is the ability of AI-enabled algorithms to reduce, even eliminate, human clinical involvement in highly routine care. Such savings from technology will give physicians more time to study complex situations and focus on health outcomes and patient satisfaction.

I usually don’t link to techno-optimistic articles but this is optimism on steroids. It offers no fresh perspective on how to tackle existing problems in healthcare delivery; equity, AI principles, associated costs of cloud etc; it suggests AI as the solution to the problem.

Next-generation platforms will advance personalization as sensors and health tracking apps, embedded in IoT devices, collect data and alert patients and providers to precursors of disease. These advancements will enable earlier detection, prevention and slowing of progression. New platforms will also alert patients to changes in vital signs and body chemistry that may be leading indicators to more acute disorders. Hence, patients will immediately be provided with information, recommendations and options for preventing the onset of disease before it occurs.

Nope. Nyet. Nada.

I have closely tracked the wearables sector and the raw data dumps offer nothing in perspective, barring the promise of EMR iintegration. How do you expect the clinician to interpret the data in the dark without validation? Unless they have open API’s and actionable information, it won’t make any sense.

I have included the write up here because they only serve to fuel an agenda. Medium articles are heavily SEO-optimised, so anyone searching for “future of healthcare” should understand the severe limitations of technology adoption (and adaptability).

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