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How to Use AI for an Orthopedic Practice in 2026: Ambient SOAP, Imaging Triage, Surgical Planning & Owner Scorecard
May 15, 2026 · 16 min read · Healthcare / Musculoskeletal
TL;DR for the orthopedic surgeon-owner
AI earns its keep in an ortho practice when it shortens chart-closure time, triages imaging to the right sub-specialty, builds a defensible pre-op plan, and drives PROMs collection that feeds MIPS and bundled-payment performance — without ever making the surgical decision. The 10 prompts below cover new-patient synthesis, ambient-scribed SOAP, radiograph + MRI triage, TKA/THA/reverse-shoulder/spine planning, post-op PT coordination, HIPAA-safe recall, CJR bundle analysis, denial appeals, review replies, and the owner monthly scorecard. Every output requires surgeon review, a BAA on every vendor, patient AI-use consent per state law, and radiologist final read on all imaging.
Who this playbook is for
You own or co-manage a 1-8 surgeon orthopedic practice. Your mix is some combination of general ortho, sports medicine, total joint (TKA/THA/shoulder), spine, hand, foot-and-ankle, pediatric ortho, or orthopedic oncology. You take commercial, Medicare, Medicare Advantage, workers' comp, and a small volume of auto/PI. You may participate in BPCI-A or CJR, and you report MIPS. You run your own PT or refer to an outside network. Your pain points are ambient-charting catch-up, PA denials on MRI and arthroplasty, pre-op optimization, bundle margin erosion, and surgeon burnout.
Why ortho is different from general medical practice
Imaging density: Every patient brings X-ray, MRI, or CT. AI imaging triage (fracture, osteoarthritis grade, rotator-cuff tear, meniscus, spine stenosis, incidental findings) is a bigger lever than in primary care.
Procedure-heavy revenue: TKA (CPT 27447), THA (27130), rotator-cuff repair (29827), ACDF (22551), lumbar microdiscectomy (63030), fracture fixation, and injections drive margin. AI that improves pre-op optimization and post-op PROMs moves bundle margin directly.
Bundled payment exposure: CJR, BPCI-A, and commercial arthroplasty bundles put you at risk for 90-day readmission, SNF utilization, and revision. AI readmission-risk stratification (CMS CMI + Elixhauser + ASA + BMI + frailty) matters.
Regulatory stack: HIPAA BAA + state medical board AI guidance + FDA 510(k) AI-SaMD framework + CMS NCDs (e.g., vertebroplasty, SI-joint fusion) + MIPS + AKS/Stark on device relationships.
The surgeon-owner AI stack (2026)
EHR + specialty: Epic Orthopedics + Cosmos research dataset, Nextech Orthopedics, Modernizing Medicine EMA Ortho, athenaOne Orthopedics, NextGen Ortho Specialty, eCW, Greenway Intergy Ortho, Practice Fusion, Exscribe, SRS Health, Phoenix Ortho, Modernizing Medicine EMA Spine.
10 copy-paste AI prompts for the orthopedic surgeon-owner
1) New-patient intake synthesis + red-flag triage
You are the orthopedic MA/scribe synthesizing a new-patient intake for a <sub-specialty> surgeon. Read this packet (chief complaint, HPI, PMH, PSH, FH, SH, meds, allergies, prior imaging, prior operative notes, PT records, injection history, workers' comp/auto status):
<paste intake>
Output in this order:
(1) One-line chief complaint + laterality + duration
(2) Mechanism of injury / onset
(3) Pain NRS + aggravating/alleviating + functional limits (ADLs, work, sport)
(4) Prior treatment sequence: NSAID → PT (sessions/dates) → brace → injection (type/date/effect) → prior surgery
(5) Imaging available (type/date/facility) with one-line prior-radiologist impression
(6) Red flags requiring same-day escalation: progressive neuro deficit, saddle anesthesia, suspected septic joint, compartment syndrome, acute fracture, pulseless/cold limb, suspected DVT/PE, uncontrolled infection, mass, unexplained weight loss
(7) Pre-op optimization flags: BMI >40, HbA1c >7.5, active smoker, uncontrolled OSA, recent MI/stroke, anticoagulant management, dental clearance need
(8) PA/prior-auth likelihood for next step (imaging, injection, surgery) by payer
Output a 5-line SOAP skeleton the surgeon will edit. Do not diagnose. Do not recommend surgery. Flag any red flag in ALL CAPS at the top. The surgeon and MA will verify every line before it enters the chart.
2) Ambient-scribed orthopedic SOAP with CPT suggestions
You are the ambient scribe for a <sub-specialty> orthopedic visit. Input is the de-identified transcript from DeepScribe/Abridge/Suki/DAX Copilot/Heidi with a signed BAA. Patient consented to AI-assisted documentation per state law.
<paste transcript>
Produce a SOAP note:
- Subjective: CC, HPI with OLDCARTS, pertinent positives/negatives, pain NRS, functional limits, prior treatment
- Objective: vitals, focused ortho exam (inspection, palpation, ROM active/passive, strength MRC 0-5, special tests by joint: Lachman/pivot-shift/McMurray/Hawkins/Neer/Jobe/Spurling/SLR/Thomas/FABER/Tinel/Phalen), neurovascular, gait
- Imaging: X-ray views read (AP/lat/oblique/sunrise), MRI/CT summary (must be read by radiologist — scribe summarizes only)
- Assessment: ICD-10 with laterality (M17.11 right primary OA knee, M25.511 right shoulder pain, M54.50 low back pain, S52.521A distal radius fx)
- Plan: conservative care sequence, imaging ordered, injection, DME/brace, PT referral (# visits, frequency, goals), surgical discussion if indicated, follow-up interval, work/activity restriction
Suggest CPT for the visit: 99203-99205 new or 99213-99215 est with 99417 prolonged if applicable, plus any same-day procedure (20610 major joint injection, 20550 tendon sheath, 20611 with US guidance, 29870 diagnostic knee arthroscopy, 27447 TKA if OR booking). Flag any -25 modifier rationale. The surgeon must verify every element, especially the exam findings and assessment, before signing.
3) AI radiograph + MRI triage + radiologist queue
You are the imaging triage nurse using FDA-cleared AI (Gleamer BoneView/RBfracture, Rayvolve, Radiobotics RBknee/RBhip, Zebra HealthOST/HealthPNX, MILVUE, Aidoc). AI output is clinical decision support, not final read. Radiologist reads every study.
For today's queue of X-ray + MRI studies, produce for each patient:
(1) Patient initials, MRN, study type, body part, laterality, clinical indication
(2) AI-flagged findings with confidence score: fracture (location, displacement, comminution), OA grade (Kellgren-Lawrence 0-4), rotator-cuff tear (partial vs full, supra/infra/subscap), meniscus tear (horizontal/radial/bucket-handle, MOAKS), ACL/PCL tear, disc herniation (level, laterality, extrusion), spinal stenosis (central/foraminal/lateral recess, severity), osteolysis/loosening around implant, incidental findings (pulmonary nodule, renal cyst, adrenal mass, thyroid)
(3) Urgency tier: STAT (open fracture, septic joint concern, cauda equina, acute pulseless), same-day (displaced fracture, full-thickness cuff tear), routine (OA, chronic meniscus, stable fusion follow-up)
(4) Suggested next step: radiology over-read queue position, surgeon message, PA for MRI, injection, surgical consult
(5) Incidental findings auto-escalate to PCP message regardless of ortho relevance
Do not make the diagnosis. Radiologist final read stays with a board-certified radiologist. Document AI output as adjunct in the chart with model name and version. Flag any STAT item at the top of the queue in ALL CAPS.
4) Pre-op surgical plan draft for TKA/THA/reverse-shoulder
You are the pre-op planning assistant for a <TKA/THA/reverse-shoulder>. Inputs: patient demographics, imaging (standing AP pelvis/knee/shoulder, lateral, sunrise, Rosenberg, CT if robotic/navigation), failed conservative care documentation, ASA class, BMI, HbA1c, smoking status, allergies, anticoagulants, dental clearance, cardiac clearance, prior surgeries.
<paste case packet>
Produce:
(1) Pre-op optimization checklist: HbA1c target <7.5 or <8.0 by payer, BMI target (some bundles/payers cap >40 or >45), smoking cessation 4-6 weeks, nasal MRSA decolonization, dental clearance <6 months, cardiac clearance if indicated, anticoagulant hold plan per ACC/AHA
(2) Medical necessity narrative referencing failed conservative care (NSAIDs, PT, injection) with dates and outcomes per CMS LCD/NCD
(3) Implant shortlist + size prediction from Stryker Mako/Zimmer ROSA/Smith+Nephew CORI/Medacta MyKnee/MyHip/JointPoint/Orthogrid planning software (AI output only — surgeon chooses implant)
(4) Alignment philosophy reference: mechanical, kinematic, adjusted mechanical, restricted kinematic — surgeon selects
(5) Component positioning plan: tibial slope, femoral rotation, acetabular cup inclination/anteversion (Lewinnek safe zone), glenoid version/inclination
(6) DVT prophylaxis plan per AAOS + ACCP: ASA 81mg BID vs LMWH vs DOAC
(7) Pain pathway: multimodal preferred, adductor canal/IPACK/interscalene block, opioid-sparing per ERAS
(8) Discharge disposition prediction (home vs SNF) — CJR/BPCI bundles reward home discharge
(9) 90-day readmission risk score (CMS-HWR + Elixhauser + ASA + BMI + frailty)
(10) Consent talking points including AI-use disclosure if state-required
Do not finalize the plan. The operating surgeon reviews imaging, confirms the indication, selects the implant and alignment, and signs the plan.
5) Spine case planning: ACDF / lumbar microdiscectomy / fusion
You are the spine-case planning assistant for a <ACDF C5-6/lumbar microdiscectomy L4-5/TLIF L4-5/posterior instrumented fusion>. Inputs: imaging (standing AP/lateral + flexion/extension, MRI with contrast if revision, CT myelogram if needed), symptoms with dermatomal mapping, prior non-operative sequence (PT # visits, ESI/TFESI with dates/effect), neuro exam (motor grade, reflex, sensory, SLR/femoral stretch), comorbidities, bone quality (DEXA if at risk).
<paste case packet>
Produce:
(1) Indication narrative per CMS LCDs + NASS evidence-based guidelines (radiculopathy with correlated imaging and failed 6-week conservative care, cauda equina, progressive neuro deficit, instability on flex/ext, myelopathy with Nurick/mJOA)
(2) Level confirmation: clinical-to-imaging correlation, which level is the symptom generator, adjacent-level disease
(3) Approach: anterior vs posterior, MIS vs open, decompression alone vs decompression + fusion, interbody device, graft choice, BMP use decision
(4) Navigation/robotics plan: Medtronic Mazor X Stealth + StealthStation, Globus Excelsius GPS + ExcelsiusHub, NuVasive Pulse, 7D Surgical, Augmedics xvision — surgeon selects
(5) Screw trajectory + size prediction (planning software output only)
(6) Neuromonitoring plan: SSEP, MEP, EMG (free-run + triggered)
(7) Blood management: cell saver, TXA dosing, type+screen vs type+cross
(8) DVT prophylaxis (spine bleed risk considered)
(9) Discharge disposition + 90-day readmission prediction
(10) Cervical airway/swallow protocol if anterior cervical; steroid decision; soft collar plan
Do not finalize. The operating spine surgeon owns level confirmation, approach, and instrumentation. Flag any AKS/Stark risk if a navigation or robotics vendor offers free case planning tied to implant purchase — arrangement must be FMV, documented, and not conditioned on referrals.
You are the post-op coordinator for a <procedure>. Inputs: op note, discharge summary, pathology (if applicable), POD number, wound check, neurovascular, incision, DVT/PE symptoms, pain NRS, opioid taper status, PT attendance, PROMs (KOOS-JR, HOOS-JR, ASES, SANE, PROMIS-PF, ODI, NDI).
<paste post-op packet>
Produce:
(1) Visit plan by POD interval: POD 10-14 staple/suture removal + wound check, POD 21 ROM milestone, POD 42 strength + gait, POD 90 PROMs + return-to-work/sport decision, POD 180 outcome
(2) PT prescription with phase (protective, ROM, strength, return-to-sport), frequency, # visits, milestones, red flags for escalation
(3) DME/brace adjustment (hinged knee brace, CAM boot, shoulder immobilizer, SpineCor) + weaning plan
(4) DVT/PE screening questions + escalation threshold
(5) Wound concern triage: normal erythema vs cellulitis vs superficial vs deep SSI — anything beyond superficial goes to surgeon same day
(6) Opioid taper per state PDMP + CDC 2022 guideline; non-opioid escalation ladder
(7) PROMs auto-capture via CODE Technology/PatientIQ/OBERD/Force Therapeutics at pre-op baseline + 6wk + 3mo + 1yr for arthroplasty and 2yr for spine
(8) Return-to-work/sport letter with restrictions referenced to MMI timeline
(9) MIPS quality measures captured this visit (#236, #444, #459, eCQM PROMs)
(10) Escalation ladder: PA → RN → NP/PA → surgeon for wound, neuro deficit, PE concern, uncontrolled pain, suspected fracture, implant concern
The surgeon signs every post-op note. AI drafts — surgeon reviews and owns the clinical decision.
You are the recall coordinator. Segment the practice panel into recall cohorts using only protected-health-information-minimum fields with a signed BAA on the messaging platform (Weave/Doctible/Phreesia/Klara/NexHealth/Solutionreach):
Cohort A — Post-injection due: patients with last CPT 20610/20611/20550/20605 >10 weeks ago whose pain NRS trend shows return-to-baseline
Cohort B — Conservative-care complete + surgical-consult ready: patients with documented PT/NSAID/injection failure and imaging consistent with surgical indication, no surgery scheduled
Cohort C — DME replacement: patients with hinged knee brace, CAM boot, shoulder sling, or TENS >12 months old (Medicare 5-year cap for rentals)
Cohort D — Annual ortho follow-up: post-arthroplasty 1-yr, 2-yr, 5-yr, 10-yr for registry PROMs and radiographic surveillance
Cohort E — Pre-op optimization stalled: patients with scheduled surgery delayed >60 days for BMI, HbA1c, smoking, dental clearance
For each cohort, draft a 2-sentence SMS + a 40-word email, include one-click reschedule link, opt-out language, and call a human line for questions. SMS at or above 8am and at or below 9pm patient local, two-party-consent states honored (CA/FL/MA/WA/PA/IL/MT/NH/CT/MD). No PHI in SMS preview. Log recall attempts in the EHR. TCPA + state mini-TCPA + HIPAA Privacy Rule + FTC Act §5 compliance required.
You are the bundle analyst for a CJR / BPCI-A / commercial arthroplasty bundle. Inputs: last 12-month TKA (27447) and THA (27130) cases with target price, actual 90-day episode spend, discharge disposition (home, home health, SNF, IRF), readmissions with cause, revision, mortality, PROMs delta (KOOS-JR/HOOS-JR pre vs 90d).
<paste bundle dataset, de-identified>
Produce:
(1) Margin-per-case: target price − actual episode spend, by surgeon, by implant, by discharge disposition
(2) Variance drivers: SNF days, home health visits, readmissions (top 5 causes: UTI, PE, cardiac, wound, pain), revision
(3) Readmission pattern: 0-30 day vs 31-90 day, preventable vs not (AHRQ PQI), top surgeons + top patient-factor drivers
(4) Discharge-disposition opportunity: home vs SNF conversion rate, case-mix adjusted
(5) Pre-op optimization correlation: BMI, HbA1c, ASA, smoking status vs episode spend
(6) Implant-cost lever: premium vs standard by surgeon, outcome-adjusted
(7) Quality + cost leaderboard with AAOS registry percentile + CMS Hospital Compare benchmark
(8) 3 high-impact interventions for next quarter with projected margin lift, referenced to published reduction rates (e.g., pre-op optimization cuts 90-day readmission 15-25% per JBJS 2024)
(9) Payer PA pattern that slows pre-op optimization timeline
(10) CMS value-based care + HH-VBP + MSSP overlap if applicable
Surgeon leadership owns every decision. Do not change implant purchasing based on AI output alone — vendor contracts, OR staff training, and AKS/Stark review all apply.
9) Denial appeal + MRI/arthroplasty prior-auth letter
You are the appeals coordinator. Inputs: denial letter (payer, denial code, date, reviewer), clinical packet (notes, imaging reports, PT records, injection dates/effect, PROMs), payer medical policy (e.g., Aetna CPB 0673 lumbar fusion, UHC MRI spine, BCBS TKA medical necessity, Medicare LCD L33622 chiropractic, Cigna 0005 arthroplasty).
<paste denial + clinical packet>
Produce a level 1 appeal letter:
(1) Case caption: member, DOB, claim/auth #, denial code, service requested, date of service
(2) Clinical summary: diagnosis with ICD-10, failed conservative care sequence with dates (NSAID 6+ weeks, PT with # visits and outcomes, injection # with effect duration), imaging findings correlating to symptoms with laterality, exam findings
(3) Medical-necessity argument tracking the payer's own policy language — cite the exact policy section number and bullet
(4) Evidence citations: AAOS clinical practice guidelines, NASS evidence-based guidelines, ACR Appropriateness Criteria, peer-reviewed literature (≤5 years when possible, cite specifically — no hallucinated citations, every citation verified by a human before submission)
(5) Request: overturn denial + approve <service> + peer-to-peer if level 1 is upheld
(6) Supporting documents checklist attached
(7) Signature block for the surgeon; letter is drafted by AI and signed/verified by the surgeon
If level 1 is denied, escalate to level 2 external review per state insurance department + ERISA § 503 if self-funded. Log every appeal in the PA-denial tracker with outcome. Never submit AI-drafted legal or clinical content unreviewed — a bad citation or a misstated fact creates malpractice and bad-faith exposure.
HIPAA: 45 CFR 160/164 + BAA on every AI vendor. 2024 HHS OCR Reproductive Health Privacy Final Rule applies to any female patient of childbearing age. Minimum-necessary default on every output.
State AI-use disclosure: CA AB 3030 (effective Jan 2025), TX SB 815 (Sep 2025), UT HB 452 AI Mental Health Policy Act, IL HB 1806 (Jan 2026), NY S1331A pending. Update consent forms.
State medical boards: CA, TX, FL, NY, WA, NC, VA have issued AI guidance 2024-2026. Physician owns the clinical decision. Ambient scribing is adjunct, not autonomous.
FDA 510(k) AI-SaMD: every imaging AI cited (Gleamer BoneView, RBfracture, Rayvolve, Radiobotics RBknee/RBhip, Zebra HealthOST/HealthPNX, MILVUE, Aidoc, Viz.ai) is FDA-cleared as clinical decision support, not autonomous diagnosis.
AKS + Stark: device vendor offering free AI planning tied to implant purchase is a high-risk arrangement. OIG guidance + 2020 Stark Value-Based exceptions + FMV + written agreement + healthcare counsel review.
TCPA + state mini-TCPA: quiet hours 8am-9pm patient local. Two-party consent states CA/FL/MA/WA/PA/IL/MT/NH/CT/MD. Every recall SMS opt-out + HIPAA-safe.
Opioid: state PDMP check every schedule II/III, CDC 2022 guideline, state MME caps. Never let AI auto-issue an opioid prescription.
Common mistakes
Using ambient scribing without a BAA, patient consent, and a surgeon-review-before-sign rule.
Letting AI imaging triage stand as the final read. Radiologist owns the diagnosis.
Accepting free surgical-planning software from a device vendor tied to implant purchase without AKS/Stark review.
AI-drafting a prior-auth appeal with unverified citations. Every citation must be verified against the actual source.
Letting AI suggest a specific implant or alignment philosophy that the surgeon has not personally reviewed.
Bypassing pre-op optimization (HbA1c, BMI, smoking, dental) because AI flagged a green light — AI is scoring, not clearing.
Missing state AI-use disclosure on consent forms for AB 3030 / SB 815 / HB 452 / HB 1806 jurisdictions.
Review replies that confirm or deny the reviewer was a patient — HIPAA breach.
Using AI to generate before/after surgical images or testimonials without FTC + state medical-board compliance review.
60-day rollout
Week 1-2: Sign BAAs with ambient + imaging + engagement + revenue-cycle vendors. Update consent forms for state AI-use disclosure. Train MAs on red-flag triage.
Week 3-4: Pilot ambient scribing with 2 surgeons and 2 clinic days. Measure chart-closure time delta. Start AI radiograph triage on a single modality (knee X-ray) with radiologist in the loop.
Week 5-6: Roll out pre-op optimization workflow with BMI/HbA1c/smoking/dental gates. Start PROMs auto-capture on TKA/THA pre-op baseline + 6wk + 3mo + 1yr.
Week 7-8: Bundle margin analysis on last 12 months of CJR/BPCI cases. Identify top 3 readmission + SNF conversion levers. Launch denial-appeal template with human citation verification.
Week 9-12: Owner monthly scorecard in production. Kill the bottom-performing intervention (per-surgeon wRVU, 90-day readmission, CJR margin-per-case, PA denial-win rate, or PROMs delta) to move next quarter.
Ready to run this in your practice?
Copy the 10 prompts above into your EHR + ambient stack. Start with the new-patient intake synthesis and ambient SOAP — those alone should cut chart-closure time by 30-45 minutes per clinic day. Layer imaging triage, pre-op planning, and bundle analysis next. The surgeon signs every note, owns every surgical decision, and reviews every AI output. AI is the scribe, triage nurse, and analyst — never the surgeon.