The Ten Jobs Health Plans Should Hand to AI — And Why Workflow Automation Won't Finish Them
Health plans are not short on automation. They are short on autonomy. Most payer AI programs today are a patchwork of point solutions bolted onto static, linear workflows — a bot that reads a fax, a model that scores a claim, a chatbot that answers a benefits question. Each delivers a local win. Together, they leave the plan's administrative core as brittle as before: rule-bound, exception-heavy, and dependent on people to move work between systems. At Elevance Systems, we integrate data, AI, and automation into a unified digital core. Our strategy centers on adaptive, event-driven agentic architectures built for high autonomy, resilience, and precision. Below are the ten highest-value targets for AI inside a health plan — and what each one actually requires structurally.
Preserving Patient Safety with Healthcare IT/Part 4 - Why Data Privacy Is Now a Clinical Risk Domain
In modern healthcare, protecting patient data is no longer just a compliance obligation—it is a frontline patient safety strategy that must be engineered into your healthcare IT architecture. When data privacy controls fail, the impact is not only regulatory; it also directly affects clinical decision‑making, operational continuity, and, ultimately, patient outcomes.