Blog > Embracing the noise and bias in healthcare data

Embracing the noise and bias in healthcare data

March 23, 2022

Real-world patient data was not collected with the goal to personalize patient care, yet many attempts to repurpose this data for finding optimal treatments focus on fitting messy, noisy, and biased real-world data into pristine data models. This not only requires expensive and time-consuming cleaning processes but also strips away potentially valuable signals. However, by embracing the noise and bias in data, we can harness the vast amount of “imperfect” healthcare data as is to gain real-world insights for personalizing care today.

IMO’s CSO, Dale Sanders and Droice’s CEO Mayur Saxena discuss ways to effectively harness patient data for real-world impact in this webinar.

The video can be found here