10/13/2026
What does "stable" actually mean in a healthcare system that wasn't built for you?
For a lot of people living with HIV, especially those navigating aging, housing instability, and fragmented care, stability in a data record means something very different from stability in real life.
Risk-stratification algorithms used in Medicaid managed care are designed to identify who needs proactive outreach. But they work primarily from claims data: appointments attended, procedures billed, prescriptions filled. They record what happened inside the system. They cannot see what the system missed.
A person who stops coming to appointments because their clinic closed isn't thriving. A person who avoids the ER because of a past experience with stigma isn't low-risk. But in a dataset, their absence registers as stability. No flag is triggered. No care coordinator calls.
Part 2 of The Crisis Nobody Is Naming looks at how this works, why it started long before AI, and why the organizations closest to this community often have no way to interrogate the tools making these decisions.
The piece also names what a real accountability standard would look like.
Read it at the link below and share with anyone working in community health, Medicaid managed care, or HIV services.
Legacy digital assessment tools — and now AI — are misclassifying aging PLHIV as low risk. Not because they are fine, but because fragmented care looks like stability in a dataset.