
Episode 27: The $900 Billion Problem | Can AI Actually Fix Musculoskeletal Care?
Future-Proof PT
We sit down today with Sergei Polevikov (FixHealth.ai, Well.AI / Chart2Chart) for a reality-check conversation on what AI in healthcare actually is, where it genuinely helps today, and where the hype can cause harm.
Sergei breaks down AI’s evolution from early machine learning to modern transformer models, then moves from definitions into the real stakes: transparency, validation, and workflow fit. Then we discuss with him the risk of overpromising in musculoskeletal care.
The conversation zooms in on a massive, under-discussed shift: Medicare’s growing interest in digitally enabled care models that can substitute for traditional services, and what that could mean for PTs, patients, and outcomes. Sergei explains why digital-first triage is likely the future, while also outlining the biggest watch-outs right now, including hallucinations, automation bias, incomplete data, and the lack of real-time interoperability that healthcare needs most.
We also cover a PT and OT relevant rubric for separating hype from real clinical value: does the tool augment PT judgment and continuity of care, or is it being positioned (and reimbursed) to substitute for PT, especially in emerging Medicare digital-first models?
Takeaways from the episode should help outline what to pressure-test before adoption or referral: safety guardrails and hallucination risk, transparency and validation in real-world MSK populations, EHR/workflow fit (not “more clicks”), and whether the vendor’s incentives align with outcomes vs. billing.
Clinicians are concerned about AI "replacing clinicians tomorrow," but that's not reality and it distracts from the real issue. The biggest threat is poorly governed digital care pathways that can bypass PT and OT, fragment care, and dilute instead of improve accountability unless the evidence and oversight are truly there.
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