NarxCare’s Risk Score Model Allegedly Lacked Validation and Trained on Data with High Risk of Bias
NarxCare's overdose risk algorithm, lacking peer-reviewed validation, uses sensitive data like doctor visits, prescriptions, and possibly genetic information, leading to significant biases against women and Black patients. Factors like sexual abuse and criminal records exacerbate stigmas and disparities, often resulting in unjust denial of necessary pain medication. The newly approved AvertD genetic test shares similar issues, further complicating and potentially harming medical treatment decisions.
- Date it happened
- 2020-07-01
- Organisation involved
- Appriss, NarxCare, AvertD
- Product, system or model
- NarxCare offers states access to a complex machine-learning product that automatically assigns each patient a unique, comprehensive Overdose Risk Score that draws on state drug registry data but "may
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