Welcome
Transform Your Understanding of Healthcare
Stop talking about health equity, take action today.
Stop talking about health equity, take action today.
AI’s founding principle:
What happens when you have a biased training set?
What makes us different?
Areas where bias might hide: older data sets, limited studies, studies that didn’t consider representation, and studies with exclusionary criteria for pregnant and breastfeeding people.
Bias in healthcare has far-reaching implications. It can determine what treatments providers request and what insurance will cover and ultimately shape health outcomes. For instance, dermatologic symptoms may present differently in people with darker skin, leading to underdiagnosis and a potential lack of appropriate interventions that could significantly enhance their quality of life or prevent disability.
See more details from patients and providers at
American Academy of Dermatology https://www.aad.org/public/diseases/psoriasis/treatment/could-have/skin-color
Global Healthy Living Foundation
https://ghlf.org/bipoc-patient-voices-living-with-psoriasis-and-psoriatic-arthritis/
We represent a team of health policy and AI delivering the first model designed to quantify and begin eliminating bias in healthcare. Our expertise in finding areas of high inequity and quantifying whether the current evidence meets standards for representation will deliver significant value for our customers.
Stop talking about health equity and join us as we act today.
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