AI & environmental & social sustainability
What sets us apart
Our European client, a major healthcare network spanning 12 countries with 847 hospitals discovered their AI diagnostic systems were systematically underperforming for women patients, leading to delayed diagnoses, inappropriate treatments, and mounting legal challenges.we deliver science-backed analysis that quantifies exactly how gender bias in medical AI creates life-threatening misdiagnoses, massive malpractice exposure, and systematic revenue loss from half your patient population.
Here's what distinguishes our approach:
we deliver science-backed analysis that quantifies exactly how gender bias in medical AI creates life-threatening misdiagnoses, massive malpractice exposure, and systematic revenue loss from half your patient population.
Women's health AI bias strategic assessment
Summary
Our European client - a major healthcare network spanning 12 countries with 847 hospitals - discovered their AI diagnostic systems were systematically underperforming for women patients, leading to delayed diagnoses, inappropriate treatments, and mounting legal challenges.
Traditional healthcare bias audits had provided surface-level gender statistics without clinical context.
This consultation challenged the conventional wisdom that gender-neutral medical AI provides equal care for all patients, we demonstrated that male-dominated training data creates systematic diagnostic failures that result in 67% higher misdiagnosis rates for women's cardiovascular events and 89% underdiagnosis of women-specific conditions like endometriosis. Our data-driven approach exposed that what the healthcare industry calls "scientifically validated" AI is actually built on datasets that are 78% male-derived, creating a €847 million liability catastrophe where women's symptoms are systematically dismissed as "atypical" while life-threatening conditions go undetected at preventable rates.
Location
Europe
Completion Year
2025
