AI and Nursing

Bias hides in the data that shapes every diagnosis, treatment plan, and algorithm. Nurses are on the front line of spotting these blind spots. From flawed pulse oximeters to inequitable risk scores, biased data can cost lives. This post explores how bias shows up in clinical practice, real-world examples that prove the stakes, and practical steps nurses can take to protect patients and push healthcare toward fairness.