As wearable health devices become more advanced, the challenge isn't just capturing data — it's transforming it into real-time, actionable insights that clinicians can trust. Discover how AI is bridging the gap between raw data and clinical decisions, turning streams of health information into meaningful action.
From Raw Wearable Data to Clinical Action: How AI Closes the Loop
The digital revolution has swept across the world, and nowhere is this more visible than in healthcare. Back in 2019, the World Economic Forum estimated that the average hospital produced 50 petabytes of data per year. This included patient notes, with lab test results, medical imaging, readings from sensors and genetic and genomic information, as well as hospital operational and financial data.
The growth of healthcare data has not slowed – according to RBC Capital Markets, around 36% of the world’s data by volume is expected to be generated by the healthcare industry by 2025.
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