SAFE
The core of the job is physically guiding a stroke patient through dressing and transfer practice, fitting and fabricating splints, assessing a home or workplace for fall hazards, and adjusting a plan when the person cries or refuses. AI can already draft evaluation narratives, pick CPT codes, generate home exercise handouts, and pre-fill Medicare progress notes — the documentation load that eats OT hours is genuinely exposed. But treatment delivery requires licensed hands in a room, and state licensure plus payer rules make the OT personally accountable for the plan of care.
Tasks largely resist digitisation. Grading a dressing task in real time, fabricating a thermoplastic wrist orthosis to a specific joint angle, and reading whether a patient's refusal is pain, apraxia, or depression are not steps that survive being turned into a workflow — but goniometry logging, standardized assessment scoring (COPM, FIM), and discharge summary drafting do, which is why this sits at 15 rather than 18.
Hands-on in uncontrolled environments. OTs work in ICUs, SNF hallways, school classrooms, and clients' actual kitchens and bathrooms doing home safety assessments — measuring doorway clearances, transferring a 200-pound hemiplegic patient with a gait belt, molding splints on a live limb — environments nobody controls and no fixed equipment covers.
Licensed human required and personally liable. State OT licensure under practice acts plus NBCOT certification means you sign the plan of care yourself, your signature is what makes Medicare Part B minutes billable, and a botched transfer or a splint that causes pressure necrosis lands on your licence — not 18+ only because much of the day is delivered under a physician referral and an OTA can execute treatment under your supervision.
The human relationship is the product. Getting a stroke survivor to attempt buttoning a shirt they failed at yesterday, or persuading a parent that their child needs sensory strategies rather than a diagnosis, depends on a rapport built over weeks of episodes of care that a new evaluator has to rebuild from zero.
Exists to be accountable for ambiguous calls. You decide when someone is safe to go home alone, whether cognition supports independent medication management, and when to discharge or escalate against family pressure — high-stakes and genuinely ambiguous, though bounded by physician orders, established frames of reference, and payer-driven visit caps.
Has AI actually changed your work?