Physical Medicine and Rehabilitation Physicians

PM&R physicians spend more than 19 hours per week on paperwork — among the highest administrative burdens in medicine (Medical Economics 2025). Ambient AI documentation tools (Abridge, Dragon Copilot) now handle the drafting step for SOAP notes and progress notes, including inpatient rehabilitation settings since Abridge's June 2025 inpatient expansion. Your value is in expert review and attestation: PM&R notes carry specific documentation requirements (CMS IRF-PAI data elements, FIM scores, physician certification of rehabilitation necessity) that ambient AI can draft but you must validate. Develop a systematic review protocol that specifically checks the functional status data points — these are the documentation elements most likely to be mis-captured by AI from a clinical conversation.

Prior authorization is among the most time-consuming administrative burdens in PM&R — IRF admission justification, power wheelchair coding, orthotics/prosthetics prior auth, and therapy extension requests consume significant physician time. ASPN 2025 AI guidelines specifically identify electronic PA automation as a near-term AI application for interventional spine practices. AI tools that auto-populate PA forms from the medical record and draft the medical necessity narrative cut this burden significantly, but the clinical attestation and complex appeal letters still require physician knowledge and signature. Build efficient templates for the specific PA types your practice encounters most frequently — IRF admission justification (documenting medical necessity and rehabilitation potential), power mobility criteria documentation, and botulinum toxin prior auth.

AI tools can now draft the narrative structure of impairment rating reports and FCE reports from the physician's clinical findings — significantly reducing the time to produce the lengthy medicolegal documentation these evaluations require. The clinical examination underlying the evaluation (strength testing, ROM measurement, functional task observation, symptom validity testing) and the medicolegal judgment (determining maximum medical improvement, rating whole person impairment under AMA Guides) cannot be automated and carry legal weight requiring physician attestation. Physiatrists who develop efficiency in AI-assisted report generation for IME/FCE work can substantially increase their throughput in this relatively high-margin practice area.