Outcome Measures
Built for PT reporting
LocalScribe for Physical Therapists
AI-assisted clinical documentation
Time Savings
Notes in seconds
Reports in minutes
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No data sent to servers
Runs locally on your computer
See how LocalScribe works for physical therapy
Clinical content you type
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.
Download here for free use.
Windows uses Microsoft Store. macOS is a direct download.
How LocalScribe Helps Physical Therapists
The core fit for PT is simple: start with a Physical Therapy starter pack or save your own terms, measures, and note structure, then reuse that language every time you draft.
Physical Therapy Documentation
Feature focus
Terminology library for PT language
Start with a Physical Therapy starter pack with ready-made PT terms and definitions, or add your own. Then LocalScribe can use your wording for gait training, HEP, manual therapy, weight-bearing status, and more.
Saved context examples
- CGA = contact guard assist during mobility tasks
- HEP = home exercise program with patient education, demonstration, and adherence plan
- TUG = Timed Up and Go measure stored with score type, fall-risk descriptors, and interpretation guidance
Feature focus
Test measures library for PT outcomes
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.
Saved context examples
- CGA = contact guard assist during mobility tasks
- HEP = home exercise program with patient education, demonstration, and adherence plan
- TUG = Timed Up and Go measure stored with score type, fall-risk descriptors, and interpretation guidance
Feature focus
Custom templates by setting
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.
Saved context examples
- CGA = contact guard assist during mobility tasks
- HEP = home exercise program with patient education, demonstration, and adherence plan
- TUG = Timed Up and Go measure stored with score type, fall-risk descriptors, and interpretation guidance
Language, Templates & Workflow
Template setup
You set the template structure. LocalScribe drafts to it.
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.
- Subjective: AI instruction: Summarize the patient's reported symptoms, functional complaints, pain rating, or relevant subjective updates from the visit.
- Objective: AI instruction: Document gait, assist level, cues, exercises, repetitions, and observable treatment details in concise PT language.
- Assessment: AI instruction: Interpret how the patient's presentation and treatment performance relate to current functional deficits and therapy needs.
- Plan: AI instruction: State the next-step treatment plan and note any HEP or education that should continue.
Workflow fit
Why it fits this workflow
- LocalScribe can run offline: 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.
- Teach once, reuse every day: Once you add PT abbreviations, preferred phrasing, and measures, those definitions can be used during generation so drafts reflect your own clinical language.
- Draft faster without losing specificity: Instead of rewriting generic AI output, you start from language that already reflects your documentation habits, intervention vocabulary, and test interpretation patterns.
Example PT SOAP Note Template
Custom templates combine your preferred section structure with the writing guidance you want used under each header.
1
You name the section
Example: Subjective
2
You write the instruction
AI instruction: Summarize the patient's reported symptoms, functional complaints, pain rating, or relevant subjective updates from the visit.
3
LocalScribe drafts that part
The output below follows those saved instructions.
Subjective
AI instruction: Summarize the patient's reported symptoms, functional complaints, pain rating, or relevant subjective updates from the visit.
Objective
AI instruction: Document gait, assist level, cues, exercises, repetitions, and observable treatment details in concise PT language.
Assessment
AI instruction: Interpret how the patient's presentation and treatment performance relate to current functional deficits and therapy needs.
Plan
AI instruction: State the next-step treatment plan and note any HEP or education that should continue.
Example output from those instructions
Subjective
The patient reported left knee pain and ongoing difficulty with stairs and community walking tasks.
Objective
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.
Assessment
Performance remains limited by gait deviations, stair difficulty, and reduced tolerance for longer walking tasks.
Plan
Continue gait and functional strengthening interventions and reinforce home program carryover.
Try LocalScribe for Physical Therapy
Clinician-built, with a mission.
John Britton founded LocalScribe to help clinicians participate in shaping how AI enters clinical practice. LocalScribe reflects that mission by demonstrating that clinicians can build practical tools in informed, competent, and ethical ways.