Multi specialty practices are the hardest deployment for autonomous coding. Different documentation styles, different coder pools, different payer mixes. We walk through what works, what fails, and the playbook we use across 12 specialties.
01 / REALITYWhy specialty mix is hard
One model rarely fits all specialties.
A primary care note looks nothing like an OB GYN note. An ABA session log looks nothing like a cardiology cath report. Each specialty has its own documentation rhythm, its own dominant code sets, and its own payer rules. The platform that wins on multi specialty is the one with a flexible engine and a strong governance layer.
02 / PATTERNThe pattern that works
Pilot, prove, replicate.
03 / CASESThree specialty case studies
Numbers from real deployments.
04 / RISKSPitfalls per specialty
The traps we have seen.
One size fits all model
If the platform uses one model for all specialties, accuracy drifts.
Documentation drift
Specialties with looser documentation need real time prompts.
Coder politics
Different specialties have different coder cultures. Plan for both.
05 / PLAN12 week rollout plan
Specialty by specialty.
Multi specialty is harder than single specialty, but the upside is bigger. A 12 week disciplined rollout buys you 70 percent denial reduction and 11 day DSO compression across the entire practice.