AI-assisted clinical documentation
The core fit for PT is simple: save your terminology, measures, preferred phrasing, and note structure once, then reuse that context every time you draft.
Store PT-specific shorthand and definitions like gait training, sit-to-stand transfer, eccentric control, HEP, manual therapy, or weight-bearing status so the model uses your wording correctly.
Save measures like the TUG, 6MWT, Berg Balance Scale, LEFS, Oswestry, or DASH with the score type, descriptors, scoring meaning, and interpretation language you want. Then when you reference the measure in shorthand, LocalScribe can use that context to write the score table and the interpretation cleanly.
Create PT-specific SOAP notes, evaluation summaries, progress reports, discharge summaries, re-evals, or home health visit formats that match the way your practice actually documents.
You save terms and definitions once. During drafting, that saved language can be provided as context so the note reflects the shorthand and clinical meaning you intended.
PT SOAP. L knee pain 4/10 start, 5/10 stairs. says grocery store walking still hard. Amb ~150 ft SPC SBA, dec L stance time + needs vc heel strike. step-ups 4in x10, sit<>stand x8 no UE, calf stretch, HEP reviewed. mild SOB/fatigue, 2 seated rests.
Templates can include the section titles you want plus specific instructions you write for the AI model, so the note follows the SOAP structure you actually use.
Each section title can include its own instruction to the AI model, so the generated text under that header is shaped by the prompt you wrote for that section.
AI instruction: Summarize the patient's reported symptoms, functional complaints, pain rating, or relevant subjective updates from the visit.
AI instruction: Document gait, assist level, cues, exercises, repetitions, and observable treatment details in concise PT language.
AI instruction: Interpret how the patient's presentation and treatment performance relate to current functional deficits and therapy needs.
AI instruction: State the next-step treatment plan and note any HEP or education that should continue.
The patient reported left knee pain and ongoing difficulty with stairs and community walking tasks.
The patient completed gait training with cane and standby assist, step-ups, sit-to-stand practice, stretching, and HEP review with cueing and rest breaks as needed.
Performance remains limited by gait deviations, stair difficulty, and reduced tolerance for longer walking tasks.
Continue gait and functional strengthening interventions and reinforce home program carryover.
Create notes while in a patient's home, in the gym, or moving through a rehab space without needing a live connection, then export the finished note later for upload into the EHR or other system of record.
Once you add PT abbreviations, preferred phrasing, and measures, those definitions can be used during generation so drafts reflect your own clinical language.
Instead of rewriting generic AI output, you start from language that already reflects your documentation habits, intervention vocabulary, and test interpretation patterns.
Start the trial from the download page, or jump back to the main site if you want the full overview before buying.