Narrative Dx #005: The Advocate Nobody Trusts Yet
Welcome to Narrative Dx, my new series on Narrative Strategy for Healthcare. I’m performing story surgery on the healthcare industry — with an occasional tangent into life sciences and biotech. Let’s dive in.
Every company building an AI patient advocate right now is launching into a story it didn’t write and can’t control. The story is already this: AI in healthcare means the thing that overrides your doctor to deny your claim.
That story has a name. UnitedHealth’s nH Predict tool is the subject of an ongoing class action alleging it was used to cut off post-acute care for elderly Medicare Advantage patients, built on a model reported to have a 90% reversal rate on appeal. A federal judge let the core claims proceed and, this spring, ordered broad discovery into how the tool actually worked. Optum’s position throughout has been that the tool only informs providers and never makes coverage decisions itself. That distinction may hold up in court. It will not hold up in a patient’s memory.
So here’s the problem for anyone building the opposite product. Somewhere right now, a team is training an AI agent to do the thing nH Predict is accused of undermining: sit with a patient’s full history, translate policy and clinical jargon, coordinate across a maze of services, and actually fight for them. A genuine advocate, not an adjudicator. The technology is not the hard part. Nobody has decided who owns telling patients this is a different animal before the product ever reaches them.
I’ve seen the gap this creates from the inside. I spent a year in patient experience at a safety-net hospital in LA, working re-admissions for patients navigating housing insecurity, substance use, and every system failure between them. The job was constant translation and coordination, on their behalf, every day, because the moment nobody was actively advocating for them, they ended up back in the hospital. That’s what advocacy actually requires: not better information, but constancy. A second set of eyes that doesn’t clock out.
You see the same failure from the patient’s side on Reddit’s r/askdocs, where people who did everything right, asked for the patient advocacy team, looped in a social worker, filed a Medicare appeal, still couldn’t get a hospital to hear them. Advocacy fails even when the patient does the work, because the person doing the fighting on their behalf isn’t always available, isn’t always the right fit, and isn’t always believed.
That’s the opening an always-on AI advocate is built for. Hippocratic AI isn’t building toward this, they’ve already named it. Their AI Front Door launch this spring is headlined, in their own copy, as an AI Patient Advocate, described as a continuous member advocate that preps patients before visits and follows up after. The product logic is sound. But they’ve claimed the exact word that, in a different courtroom right now, a jury is being asked whether an insurer’s AI has earned the right to use at all. That’s not a future collision. It’s already live, sitting one search away from the same patients they’re trying to reach.
This is a narrative ownership vacuum in its purest form. The capability exists. The old story (AI decides against you) and the new story (AI fights for you) are sitting in the same public imagination, unreconciled, and nobody on these teams has been handed the job of holding the line between them. Ship the product without doing that work first, and the most sophisticated patient advocate ever built will read, on first contact, as the thing patients have already learned to fear.
I’m Ari Mostov. I help healthtech and medtech leaders close the gap between what their AI actually does and what patients already believe AI does to them. More soon in this series, Narrative Dx.