“Illness is universal. Access to care is not.” - Dr. Raj Panjabi
The drivers of inequity are different for every community and every individual. Health disparities exist at every level. The personalization of healthcare ennobles the individual within the system.
Personalization creates a platform for precise interventions that engage those who have previously been missed by a system built for the average patient, perfect for no patient.
The global health sector has redoubled efforts to identify and reach under-served and marginalized communities.
macro-eyes is deploying core machine learning to identify and understand in high-dimensionality these populations; learning what factors contribute to lack of participation in legacy systems and programs.
If we can identify the hurdles that prevent individuals from engaging in essential care, we can design solutions that create opportunity and equity. Applying these factors to predict the needs of the next generations of patients keeps us ahead of the curve, solving the problem at the source.