Physical Therapy Clinics · AI Dev Team
Auth Tracking, HEP Personalization, and Drop-Off Alerts for Your PT Clinic
Running a physical therapy clinic means watching two clocks at once: the authorization clock and the patient-engagement clock. Front desks burn hours re-checking visit caps across BCBS, Aetna, and Medicare, while clinicians copy generic HEP handouts that patients quietly stop doing by week two. By the time the no-show pattern shows up in the revenue report, the plan-of-care is already off track. Asaasin embeds a small AI engineering team into your stack — WebPT, Jane, Prompt, or whatever you actually run — and ships working software in two to three weeks against the workflows that hurt most.
What we build for Physical Therapy Clinics
Live visit-cap and authorization tracking across payers
Pull remaining visits, auth expiration, and progress-note requirements from your EMR and surface them on the schedule view before the patient walks in. Front desk stops calling payers mid-shift to confirm coverage.
Patient-specific HEP generation tied to the eval and POC
Generate home-exercise programs from the initial eval, diagnosis codes, and clinician notes — not a static template. Exercises adjust automatically as the POC progresses and sync to the patient app your clinic already uses.
Drop-off and no-show prediction with same-day recovery workflows
Score every active patient on drop-off risk using cancellation history, days since last visit, and HEP adherence. The system triggers a tailored text or call task before the gap becomes a discharge.
How a Build Pod fits
A Build Pod is a dedicated squad of AI engineers that plugs into your clinic on a monthly subscription. Week one we sit with your billing lead, a senior PT, and the office manager to map the auth flow, the HEP handoff, and how cancellations actually get recorded. Week two we ship the first working tool against your real EMR data — WebPT API, Jane webhooks, or a Prompt export — not a slide deck.
From there the pod runs as an extension of your clinic. New payer rules, a new location, a switch from paper HEPs to a patient app — those become tickets, not six-month projects. You get one Slack channel, weekly demos, and software that compounds month over month around how your therapists and front desk already work.
Frequently asked questions
- How long before we see working software in the clinic?
- The first usable tool is in your hands within two to three weeks. We scope narrow on purpose — one workflow, real EMR data, real front-desk users — so you can judge the pod on shipped software, not roadmaps.
- Do you work with WebPT, Jane, Prompt, or our existing EMR?
- Yes. We build against whatever you run today via API, webhooks, or supported exports. We do not ask clinics to switch EMRs, and we do not store PHI outside systems you already trust.
- How do you handle HIPAA and patient data?
- We sign a BAA, keep PHI inside your existing infrastructure where possible, and use de-identified data for any model evaluation. Access is least-privilege and auditable, and your compliance officer reviews the architecture before we ship.
- Can the pod help with denials and underpayments, not just auth tracking?
- Yes. Once auth and visit-cap data is flowing, we commonly extend into denial pattern analysis, appeal-letter drafting, and underpayment flagging against your contracted rates. It's a natural next sprint after the front-desk tools land.
Ready to ship AI for physical therapy clinics?
A Build Pod gets working AI into your stack in 2–3 weeks. Month-to-month, cancel any time.
Talk to a Build Pod