ReHack

Detecting Model Drift in Healthcare AI

By Zac Amos – As healthcare providers increasingly rely on artificial intelligence and machine learning to support clinical decisions, operational workflows and population‑health management, maintaining the reliability and safety of such AI systems becomes critical.


Decoding Patient Needs With AI Call Analytics

By April Miller – Healthcare providers hear patients on the phone every day, but much of the insights from these conversations disappear when the call ends. It is challenging to capture every sentiment when relying solely on notes from front desk staff, while clinicians see only a fraction of what patients share when they are anxious or confused.





How Hospitals Can Prepare for AI-Generated Phishing

By Zac Amos – Hospitals run on email, shared portals and ticket queues. Attackers now use generative artificial intelligence to send convincing messages that mimic colleagues, patients, payers or IT to push rushed logins. Language errors used to give such scams away, but AI reduces those tells and scales personalization across thousands of targets.