The Physio Assistant-physiotherapy evidence assistant
AI-powered physiotherapy evidence and documentation.

Hospital and Primary Care Physiotherapy Assistant
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What The Physio Assistant Is and Why It Exists
The Physio Assistant (AIPT Guru) is a clinical education and documentation helper for physiotherapists and rehab clinicians in hospital and primary care. It synthesises peer-reviewed evidence (e.g., RCTs, systematic reviews) and recognised guidelines (NICE/CSP, APTA, APA when requested), highlights red flags and referral pathways, and outputs copy-ready clinical notes and teaching aids. It does not give medical advice; it supports reasoning and documentation.\n\nHow it’s designed to work:\n• Evidence-first: Summaries are anchored to study type and evidence strength (GRADE/PEDro when available) and can include PubMed-style links in Auto-Cite mode.\n• Context-aware: Tailors to region-specific guidance if you say “Use NICE” or “Follow APTA”.\n• Decision support: Logic-tree walkthroughs for differential diagnosis and triage (e.g., Ottawa Ankle Rules, Canadian C-Spine Rule, vestibular red flags).\n• Outcomes & documentation: Interprets common measures (ODI, SPADI, TUG, NDI) with typical MCID/MDC values and produces SOIER/SOAP/ISOBAR notes.\n\nIllustrative examples:\n• ED ankle injury: Runs an ankle inversion logic tree → applies Ottawa Ankle Rules → flags tenderness at posterior edge distal fibula + inability to weight-Physio Assistant functionsbear → recommends imaging threshold (as per decision rule) and lists red flags requiring urgent medical assessment.\n• MSK low back pain (LBP): Produces an evidence map summarising exercise therapy (moderate–high evidence), manual therapy (adjunct; mixed evidence), routine imaging (not indicated without red flags), and low-value modalities (e.g., passive electrotherapy) with rationale and citations.\n• Post-op shoulder on surgical ward: Generates a SOIER note, interprets SPADI change versus typical MCID (~13 points on 0–100), and drafts an MDT handover to OT and nursing with precautions and mobility plan.
Core Functions and How They Are Used
Evidence & Guideline Synthesiser
Example
Sciatica with leg-dominant pain in primary care: Produces a concise evidence brief comparing exercise, education, manual therapy as adjuncts, and epidural steroid injections; labels each by study type (e.g., SR/RCT), effect direction, and evidence strength (e.g., Moderate by GRADE); aligns with a requested guideline set (e.g., NICE NG59 for LBP/sciatica, APTA CPG). It explicitly marks outdated/low-value options (e.g., routine imaging without red flags, passive modalities with minimal effect) and notes when evidence is contested.
Scenario
A First Contact Practitioner builds a pathway update: The Assistant auto-lists key recommendations (e.g., keep active, screen red flags, safety-netting), contraindications, and referral thresholds; provides a one-page summary with PubMed-style links for the MDT governance pack and highlights where local policy should mirror national guidance.
Clinical Reasoning & Logic Tree Decision Support
Example
Dizziness triage: The Assistant runs a vestibular logic tree differentiating peripheral (e.g., BPPV: brief positional vertigo, fatigable horizontal/rotatory nystagmus) from central features (e.g., direction-changing nystagmus, severe ataxia, focal neuro signs). It proposes appropriate bedside tests (e.g., Dix–Hallpike, HINTS+ overview), flags red flags (neurologic deficits, new severe headache), and outlines urgent referral triggers.
Scenario
Same-day access MSK clinic receives a whiplash case: The Assistant applies the Canadian C-Spine Rule (age, dangerous mechanism, paresthesias; low-risk factors; active rotation) to determine if imaging is indicated, documents the reasoning, and drafts safety-net advice. In an ankle sprain, it applies the Ottawa Ankle/Foot Rules to reduce unnecessary radiographs and standardise triage across clinicians.
Rehab Planning, Documentation & Outcomes
Example
ACL reconstruction: Generates a week-by-week clinical timeline with criteria-based progression (e.g., effusion control → ROM restoration → strength symmetry benchmarks → running/readiness testing), load management cues, and red flags (e.g., calf pain/swelling → DVT rule-out). It pairs this with an EMR-ready SOIER or SOAP note and an outcomes tracker (e.g., KOOS subscales, hop tests). For shoulder rehab, it interprets SPADI improvement (e.g., +15 points exceeds a commonly cited MCID ~13) and for LBP interprets ODI change (e.g., −12 points exceeds a typical MCID ~10), noting population/context caveats.
Scenario
On a surgical ward (day 2 post–rotator cuff repair), the Assistant drafts: (1) SOIER assessment with precautions and mobility status; (2) an MDT handover highlighting sling use, sleeping position, and opioid weaning plan; (3) a patient-friendly exercise sheet with stage-appropriate dosing; (4) an outcome plan with review intervals and MCID targets to guide discharge planning.
Who Benefits Most
Frontline physiotherapists and MDT clinicians in hospital and primary care (ED/FCP/ACP, inpatient rehab, outpatient MSK, community)
They need rapid, defensible reasoning and documentation under time pressure. The Assistant standardises triage (e.g., Ottawa/Canadian rules), highlights red flags and referral thresholds, aligns care with regional guidance (NICE/APTA/APA on request), and outputs EMR-ready notes and safety-netting language. This improves consistency across shifts and sites, supports audit readiness, and reduces low-value care.
Physiotherapy educators, students, and service leads/quality improvement teams
Educators and students use logic trees and teaching mode to unpack differential diagnosis, compare interventions by study type and evidence strength, and rehearse exam-style cases. Service leads use Auto-Cite evidence summaries and guideline alignment to build/update protocols, create pathway toolkits, and track outcomes against MCID/MDC thresholds for governance and service evaluation.
How to Use The Physio Assistant
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Open the site and launch The Physio Assistant instantly—no account, subscription, or credit card required.
Set context & prerequisites
State your role (student, MSK, neuro, senior clinician), region or guideline authority (NICE, APTA, APA, CSP), and desired output format (SOIER, SOAP, ISOBAR). Prerequisites: internet access; anonymize all patient data; educational use only—this tool does not provide medical advice.
Describe the task clearly
Provide concise clinical context (e.g., condition, acuity, key findings, goals). Examples: differential for heel pain; ACL rehab week-by-week; vestibular screening; outcome measure interpretation (e.g., ODI, SPADI with MCID/MDC); guideline-aligned referral thresholds; MDT handover text.
Use the built-in tools
Quick commands: “start logic tree for shoulder pain,” “Walk through ACL rehab,” “Track post-op recovery for rotator cuff,” “Why did you suggest that?,” “What if the symptom changed?” Enable Auto-Cite (APA/VHow to use Physio Assistantancouver with PubMed links), evidence grading (GRADE/PEDro), red-flag alerts, and region-specific guidance.
Optimize your workflow
Choose modes: clinic (concise), teaching (expanded), quick (one-line), or time mode (30s/2m/5m). Ask for copy-paste SOIER/SOAP/ISOBAR notes, outcome score interpretations, or rehab toolkits/timelines. Keep prompts specific, avoid identifiers, and note boundaries: informational only, no diagnosis, no background processing.
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- Case Triage
- Guideline Review
- Rehab Planning
- Outcome Tracking
- MDT Handover
Five In-Depth Q&A About The Physio Assistant
What is The Physio Assistant and how is it different from generic AI tools?
It is an AI physiotherapy assistant focused on clinical education. It summarizes peer-reviewed evidence (with PubMed-linked citations), aligns to regional guidance (NICE, APTA, APA, CSP), flags red-flags/referral pathways, and generates copy-ready clinical notes (SOIER/SOAP/ISOBAR). It also offers structured logic trees for differential diagnosis and rehab planning—features tailored to hospital and primary care physio workflows.
How does it ensure evidence quality and transparency?
It prioritizes systematic reviews, RCTs, and reputable guidelines, labels study types, and uses strength-of-evidence conventions (e.g., GRADE, PEDro where applicable). It highlights where evidence is strong, mixed, or outdated, and includes Auto-Cite (APA/Vancouver) with PubMed links for verification and further reading.
Can it help with triage and red-flag screening?
Yes. Logic Trees guide region-by-region triage (e.g., shoulder, thoracic, heel, low back, vestibular) and incorporate tools like Ottawa Ankle Rules, Canadian C-Spine Rule, STarT Back, and vestibular central vs peripheral screening. It surfaces red-flag indicators and suggests guideline-aligned referral thresholds while remaining educational (not medical advice).
What documentation and handover outputs can I generate?
Request SOIER, SOAP, ISOBAR, MDT handover, or discharge summaries. Outputs can include diagnosis differentials, goals, test findings, exercise dose (frequency/intensity/volume), precautions/contraindications, red-flag status, and follow-up plans—formatted for quick EMR copy-paste and aligned to your selected guideline region.
Can it build rehab plans and support teaching?
Yes. Use the Toolkit Builder and Clinical Timeline Generator for condition-specific programs (e.g., ACL, rotator cuff, OA knee). You can add milestones, progressions, and outcome tracking (ODI, SPADI, TUG with MCID/MDC). Teaching mode expands reasoning, provides flashcards/quizzes for CPD, and supports 'Why did you suggest that?' explanations for transparent clinical logic.