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Big Data to prop Health-Tech in 2022 and beyond

From a century ago, the average life expectation has doubled. Expectations from healthcare delivery are changing and more needs to be done to make access to healthcare more equitable and attainable.

Artificial Intelligence (AI) in healthcare can alter how healthcare is delivered, thereby improving accessibility. Online consultation, automating repetitive tasks, data mining of medical records, medication management, drug creation, and designing treatment plans are a few use cases of AI in Healthcare.

As reported by E-marketer, Millennials seem to be the biggest wearable users of technological devices, followed by Gen X in the second place, third place is ranked Gen Z, and Baby boomers in the last place. Algorithms for these wearable devices use data from sensors to provide insights from our daily activities, like stress levels by measuring heart rate, any pattern anomalies, and much more.

*Gen Z-individuals born between 1965-2012 Millennials-individuals born between 1981-1996 Gen X-individuals born between 1965-1980 Baby boomers-individuals born between 1946-1964

It is estimated that wearable users in the US will keep increasing, across all different group ages, with the potential of reaching 88.3 million users in 2025. While the US may be taking the lead, the rest of the world will likely be following closely making it a global phenomenon. With that kind of Big Data the draw insights from, the coming decade will be a decisive one for the healthcare/healthtech industry.

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