Healthcare and the Trap of Personalization

The Automation/ Personalization Sweet SPot

Too Much Personalization

  1. AI-assisted devices and instruments that can help identify and uncover patterns in patient data that are not visible to even the trained naked eye.
  2. Additional data points (fitness biomarkers etc) that get routinely collected by people through wearable or even through smartphones;
  3. Historical data processing, continous data analysis and cross-referencing data that has been siloed or simply unavailable until now;
  4. A better understanding of behavioral data and its impact on health;
  5. A better understanding of correlations between preventative measures and traditional healthcare.

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Iulian Circo

Iulian Circo

Full stack impact entrepreneur. 🚀