Best AI Scribes for Physical Therapy in 2026

TL;DR

We found no independently published evidence of PT-specific documentation accuracy for the products in this comparison. The order reflects the amount and relevance of publicly available product information. It does not represent hands-on clinical testing or a finding that one product is more accurate than another. Physitrack is not an AI scribe and does not appear in the rankings.

• Heidi Health suits multi-specialty clinics needing broad EHR and practice-management coverage. Pricing and PT-specific accuracy remain unverified.
• Abridge suits large, Epic-based health systems with outpatient physical therapy departments. The reviewed sources showed no self-service pricing or independently published PT-specific evidence.
• DeepCura suits small clinics seeking scribing and administrative tools in one subscription. The reviewed pricing and integration details came from competitor pages and require confirmation from DeepCura.
• Freed suits solo physical therapists testing a lower-cost ambient scribe. The reviewed sources provide little detail on PT terminology, security, or clinician review.
• Suki remains unranked because the sources reviewed did not verify its pricing, integrations, security controls, or PT capabilities.

Why PT practices are evaluating AI scribes now

Tandem Health estimates that documentation occupies 30 to 50 percent of a physical therapist’s working time. Treat that figure as a vendor estimate unless the company provides the underlying research.

Physical therapy records require continuity across repeated visits. A patient may complete 12 sessions over eight weeks, and each note must compare current function with the baseline and prior sessions. Physical therapists may also need to record standardized measures such as the Patient-Specific Functional Scale (PSFS) or the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire. Whether those scores must occupy discrete fields depends on the clinic's EHR, reporting requirements, and workflow.

Generic medical scribes can miss those requirements because many focus on summarizing a single conversation. A plausible narrative may omit a range-of-motion value, flatten an outcome score into free text, or lose the progression between visits. Exercise documentation adds another layer because notes may need exact load, repetitions, technique cues, and progression criteria.

An AI scribe may reduce typing when it captures those details accurately, but the clinician’s correction time determines whether it reduces total documentation work. Physical therapy practices should judge AI scribes on how well notes preserve changes across visits, capture functional data, and limit clinician correction time.

How we evaluated these tools

We ordered the tools by the amount and relevance of publicly available evidence. Primary and independent sources received more weight than vendor materials or competitor claims. We reviewed product materials, integration information, security statements, pricing pages, and independent research where available. We did not conduct clinical accuracy testing, so the order does not represent hands-on validation or comparative accuracy.

• PT terminology and outcome capture. We looked for support for functional baselines, range of motion, MMT grades, exercise details, and standardized measures such as PSFS and NPRS.
• Structured data handling. We looked for evidence that a tool can transfer scores into discrete EHR fields rather than only placing them in narrative text. Structured fields support later auditing and outcome reporting.
• EHR write-back depth. We distinguished copy-and-paste export from direct note transfer and structured, bidirectional integration.
• Review workflow. We considered how easily a clinician can find errors, make corrections, and approve a note before it enters the record.
• Privacy and security. We looked for a signed Business Associate Agreement, clear retention and deletion policies, and disclosure of whether patient data trains AI models.
• Time-saving evidence. We gave greater weight to independently supportable findings than to vendor case studies or promotional estimates.

The available evidence remains limited. Much of the product information available for this review came from scribe vendors, EMR companies, or competitor marketing pages. We found no independent PT-specific accuracy testing for any compared tool. Claims about PT terminology, integrations, pricing, and time savings therefore remain labeled as vendor-reported or unverified where primary evidence was unavailable.

AI scribes to evaluate for physical therapy in 2026

The first four products had the clearest available information about capabilities, pricing, integrations, and clinical workflows. Vendor superlatives carry less weight, especially because no listed product has published independent testing of PT-specific documentation accuracy.

Heidi Health: best for multi-specialty clinics seeking broad reported EHR and PMS coverage

Among the products reviewed, Heidi Health has the broadest reported integration coverage for clinics that combine physical therapy with other medical services. Its claimed connections include PT-relevant practice management systems such as Cliniko and Nookal, along with Bp Premier and medical EHRs such as athenahealth and Veradigm. Clinics should ask Heidi to demonstrate the exact write-back workflow in their current system before signing a contract.

Heidi Health reports support for more than 110 languages and 200 specialties and subspecialties, although the sources reviewed do not independently verify those figures. Available outputs reportedly include SOAP notes, referral letters, discharge summaries, and patient instructions. A free tier gives clinicians a way to test recording quality and template fit before considering a paid plan. However, the available research does not document PT-specific handling of functional outcome measures, range-of-motion values, or therapy terminology.

Pricing remains unresolved. The same secondary comparison cites a paid plan starting at $30 per user each month with annual billing and separately lists a clinician plan starting at $110 per user each month. Buyers should confirm the current price, usage limits, integration fees, and required subscription tier directly with Heidi.

A pilot should test recording reliability and confirm which subscription tier includes the required integration. Trustpilot feedback summarized by the secondary source mentions incomplete or missed recordings on older Android app versions. Other users reported confusion about whether EHR integration came with higher subscription tiers or required another purchase. Test Heidi on the devices clinicians use, and request written confirmation of every included integration.

Heidi Health ranks first because the reviewed sources report connections with PT-relevant systems, including Cliniko and Nookal. Clinics should confirm each connection and its write-back depth directly with Heidi Health. The reviewed sources provide no independently verified PT-specific accuracy or time-saving evidence, so clinicians should test real PT encounters and review every generated note.

Abridge: best for large, Epic-based health systems and hospital outpatient PT

Abridge may fit hospital-affiliated physical therapy departments that already use Epic or athenahealth and can support an enterprise procurement process. A secondary comparison reports integrations with both EHRs, along with several other major medical record systems. Buyers should confirm the integration depth directly because a listed connection may not include structured write-back into every PT documentation field.

A secondary comparison attributes Best in KLAS recognition for Ambient AI in 2025 and 2026 to Abridge and names Mayo Clinic, Duke Health, Johns Hopkins, and Kaiser Permanente as customers. Because the reviewed evidence comes from a secondary comparison, buyers should verify the recognition through KLAS and the customer relationships through Abridge, Mayo Clinic, Duke Health, Johns Hopkins, or Kaiser Permanente.

The reviewed sources document no Abridge feature designed specifically for PT SOAP notes or standardized functional outcomes. A hospital outpatient department should test whether generated notes preserve measurements such as range of motion, MMT grades, and patient-reported outcome scores in the correct EHR fields. Clinicians must review every note before signing it.

Small independent PT clinics may find Abridge harder to evaluate or purchase because the reviewed material shows no self-service signup, free trial, or published pricing. The reviewed secondary source lists no self-service signup or free trial, and the reviewed materials provide no public Abridge pricing. Its enterprise sales model and limited public PT evidence make it a poor fit for clinics seeking a quick, low-cost pilot.

DeepCura: best for small clinics evaluating combined scribing and administrative tools

DeepCura may suit small clinics seeking documentation and administrative automation under one subscription, but the reviewed capability details come from competitor comparisons. Competitor comparisons describe an ambient scribe with billing and coding support. The competitor sources also report agents for intake, fax, reception, task management, and messaging. Buyers should ask DeepCura to confirm these capabilities and demonstrate the tools they intend to use.

A competitor comparison reports pricing of $129 per clinician each month or $999 annually. The same source describes volume discounts that reach about $101 monthly for 11 or more seats. Plans reportedly share 1,000 monthly credits across seven AI agents, while a $59 monthly add-on raises the pool to 2,000 credits. DeepCura did not confirm these figures through an official page in the available research.

A competitor page reports that DeepCura supports write-back to several EHRs. A second competitor page names Epic, athenahealth, eClinicalWorks, AdvancedMD, and Practice Fusion among the supported systems. OpenEMR, OptiMantra, CharmHealth, and Veradigm also appear on that list. Clinics should ask DeepCura to demonstrate their exact EHR workflow before signing a contract.

The reviewed sources provide no evidence that DeepCura accurately handles PT terminology, functional outcome measures, or changes across a series of SOAP notes. Reported usage figures of more than 6,000 clinicians and one million encounters also lack independent verification. A PT clinic should test DeepCura with sample evaluations, progress notes, and discharge summaries before purchasing its reported administrative tools. Clinicians must review every generated note for missing measurements, incorrect terminology, and unsupported clinical conclusions.

Freed: best for solo PTs evaluating a lower reported entry price

Based on the secondary pricing information reviewed, Freed may offer solo physical therapists a lower-cost way to test ambient documentation than the other products with reported prices. The available price comes from a competitor page and requires confirmation from Freed. A competitor comparison page reports individual plans between $39 and $119 per month, including low-volume and unlimited tiers. Freed has not confirmed those prices in the available source set, so buyers should verify current terms directly.

The same secondary source describes specialty templates and a browser-based feature called “EHR Push,” with coding support on higher tiers. Available research does not establish which EHRs Freed supports or whether “EHR Push” writes structured data into specific fields rather than transferring note text.

Freed has less publicly supportable PT-specific information than the products discussed above. The reviewed sources provide no evidence about Freed's handling of PT terminology, SOAP note quality, functional outcome measures, clinician review controls, or independently measured time savings. They also provide no Freed documentation covering a business associate agreement, encryption, data retention, or model training. A solo clinician considering Freed should run sample evaluations, progress notes, and discharge summaries through a trial, then confirm security and integration details before using it with patient information.

Suki: insufficient evidence in the reviewed source set

The reviewed source set was insufficient to assess Suki. The research contained no current Suki sources confirming pricing, product features, EHR integrations, security controls, or clinician review requirements. Buyers should confirm Suki's enterprise security claims with current documents from the company.

Ask Suki for current pricing and a demonstration of its supported EHR workflows. Before using patient information, obtain a signed business associate agreement and review documentation covering encryption, retention, model training, and current third-party security audits.

A PT-specific demonstration should test whether Suki records range-of-motion values, MMT grades, special tests, and functional outcome measures accurately. Ask it to produce a SOAP note from a representative treatment session and check whether structured values reach the correct EHR fields. A short pilot should measure whether Suki reduces total documentation time after review and corrections are included. Consider Suki only after the company provides verifiable answers and the product performs well in a PT-specific pilot.

Comparison table

† Competitor-page claim. Current pricing and integration depth require direct vendor confirmation. An integration may provide text export rather than structured write-back.

What good PT SOAP documentation from a scribe should look like

Because the reviewed sources contain no independent PT-specific accuracy data, clinicians should test every finalist with the same scripted encounters. A useful pilot checks whether the scribe preserves functional detail across an episode of care rather than producing a plausible generic SOAP note.

• Initial evaluation. Give the scribe a functional baseline such as “unable to ascend stairs without a handrail” and a measurement such as “pain-free active shoulder flexion to 120 degrees.” Check whether the SOAP note assigns each detail correctly and keeps active motion distinct from passive motion.

• Mid-course progress note. Provide earlier and current values for range of motion, assistance level, exercise load, and pain. Add standardized measures such as PSFS 4 to 7, NPRS 6 to 3, or a changed DASH score. Confirm that the assessment explains progress against baseline without inventing causation, goals, or interventions.

• Discharge summary. Ask the scribe to compare final function with the initial limitation. The note should capture a statement such as “independent stair ascent without handrail,” document remaining restrictions, and connect discharge status to measurable goals. The scribe should also distinguish completed goals from partially met goals.

Outcome scores need special attention because physical therapists compare standardized measures across an episode of care. Tandem Health’s evaluation guide discusses this documentation requirement, but it is a vendor source. During a pilot, determine whether each scribe places PSFS, NPRS, or DASH values only in narrative text or sends each score to a discrete EHR field.

Discrete fields can support filtering, trend charts, audits, and outcome reporting when the EHR is configured to use them. Scores embedded only in narrative text are harder to calculate and report consistently. Ask the vendor to demonstrate the complete path into your EHR, including correction and finalization. A polished draft alone does not prove that the data will remain usable.

Privacy, security, and implementation checklist

Verify privacy, security, and implementation requirements before sending patient information to an AI scribe.

• Follow the consent and notification rules that apply in your jurisdiction, and document your process. A vendor guide recommends documenting consent, although specific legal requirements vary by jurisdiction. Your notice should explain what the scribe records and how clinicians use its output.

• If HIPAA applies to your practice, obtain a signed Business Associate Agreement before a vendor handles protected health information on your behalf. Ask which subcontractors can access the data and how the vendor handles security incidents. A general statement of HIPAA compliance does not replace a signed BAA.

• Review the vendor’s retention and deletion terms. Confirm how long the vendor stores audio, transcripts, and generated notes. Ask whether deletion also covers backups and whether you can set shorter retention periods.

• Require a written answer about model training. Your vendor contract should state whether the company uses identifiable patient data, de-identified patient data, or customer content to train or improve its models. Confirm whether your practice can opt out.

• Verify security claims with current documents. For example, a competitor comparison page reports that DeepCura claims a Google CASA Tier 2 assessment, while the page found no published SOC 2, HITRUST, or ISO 27001 certification. Ask DeepCura directly for current evidence rather than relying on that secondary report.

• Run a limited pilot before a practice-wide rollout. Assign one person to manage the pilot and test EHR field mapping. Restrict access by role and document what clinicians should do when the scribe is unavailable. Track correction time and recording failures during the pilot.

• Require clinician review before finalization. Your policy should prevent unreviewed notes or home exercise instructions from entering the medical record or reaching patients.

Time savings: evidence versus vendor claims

Published time savings require careful source checking. Vendor and competitor pages circulate estimates of a 25% to 75% reduction in documentation time, savings of up to three hours per day, and results attributed to Stanford Medicine or JAMA Network Open. The reviewed secondary material did not provide verifiable original studies for those figures. The available claims appeared in secondary marketing material, so buyers should not treat them as independent evidence.

Ask any vendor quoting a study for the primary publication, study population, sample size, and measurement method. Results from physicians in a hospital system may not predict savings for physical therapists who document repeated visits, functional changes, timed interventions, and home exercise progressions. A short pilot should measure total documentation time before and after adoption, including note review, corrections, EHR transfer, and template cleanup.

Ambient scribes may reduce drafting time but increase total documentation time when clinicians must correct terminology or restore missing measurements. A time-savings calculation should therefore include review, correction, EHR transfer, and template cleanup.

Why every AI-generated note requires clinician review

A physical therapist should review and approve every AI-generated note before it enters the medical record or reaches a patient. A Tandem Health summary of APTA guidance says clinicians remain responsible for documentation accuracy regardless of how a note was generated. Because Tandem Health is a vendor source, readers should consult current APTA guidance before relying on that interpretation. A physical therapist must apply informed professional judgment rather than treat the scribe’s output as a finished record.

Home exercise instructions require especially careful review because patients follow them without direct supervision. A scribe could record the wrong resistance, omit a precaution, or assign an unsuitable progression criterion. The physical therapist should verify each exercise against the assessment and confirm that dosage, technique cues, and safety limits match the intended plan.

Clinicians should check functional measurements and laterality, along with outcome changes across visits. The physical therapist must correct unsupported statements and approve the final note regardless of vendor claims about accuracy or time savings.

Where Physitrack fits alongside an AI scribe

Physitrack does not offer an AI scribe, so we excluded it from these rankings. An AI scribe records the encounter and drafts clinical documentation for the physical therapist to review.

According to Physitrack's platform information, the platform supports home exercise programs, adherence tracking, remote monitoring, and Remote Therapeutic Monitoring tools for eligible US workflows. Physical therapists can use reviewed clinical findings to guide exercise selection and program updates in Physitrack, then monitor the patient information the platform reports between visits.

The handoff remains clinical rather than automatic. Physical therapists should verify the scribe’s note before using any documented finding to change a patient’s exercise program or monitoring plan.

FAQs

Are AI scribes HIPAA compliant? Some vendors may provide features and contracts that support HIPAA-compliant use in the United States, but your practice remains responsible for how it configures and uses the software. Confirm that the vendor signs a BAA and review its data retention, deletion, and model-training policies.

Do AI scribes understand PT-specific terms like MMT grades and special tests? Some may capture these terms, but no compared vendor has published independent PT-specific accuracy testing. Test MMT grades, range of motion, special tests, and functional outcome scores before purchase.

Can an AI scribe write directly into my EHR? Some products claim EHR write-back, while others export text for manual copying. Ask the vendor which structured fields it can populate in your exact EHR.

Do I still need to review every note? Yes. Clinicians remain responsible for the records they approve, so review measurements and clinical reasoning along with billing details and patient instructions. Consult current primary APTA guidance for the profession's position rather than relying on a vendor summary.

How much do AI scribes for PT typically cost? Available secondary sources quote Freed at $39 to $119 monthly and DeepCura at $129 monthly or $999 annually. These figures remain vendor-unverified, so confirm current pricing and usage limits directly.

Does Physitrack offer an AI scribe? No. Physitrack supports exercise prescription, adherence tracking, and remote monitoring, but it does not provide the AI scribe described in this article.

What is the difference between an ambient scribe and a template-based documentation tool? An ambient scribe listens during an encounter and drafts a note from the conversation. A template-based tool structures information that you enter manually or through prompts.

Choosing the right AI scribe for your practice

Run every finalist through the same PT-specific pilot before signing a contract. Test an initial evaluation with functional baselines, followed by a mid-course progress note and a discharge summary. Check whether each scribe preserves range-of-motion values, outcome scores, exercise dosage, and changes across visits. Record the time required to correct each note and transfer its information into the EHR.

Require a signed BAA and clear answers about data retention, deletion, and model training. Ask vendors to provide the primary source behind any time-savings claim rather than accepting a case study or marketing benchmark.

Use the pilot to measure total documentation time, including review and corrections, and verify that each note preserves required functional details. Choose a scribe only when the pilot and vendor documents support its accuracy, workflow fit, integration depth, privacy terms, and security controls.