Automated Planning in Preoperative Software for Shoulder Arthroplasty Decreases Time and Effort in Implant Preparation
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By
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Pierre Mahe
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Sarah Shank
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Arthur de Gast
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Maud Reynier
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February 1, 2026
Clinical Scorecard: Automated Planning in Preoperative Software for Shoulder Arthroplasty Decreases Time and Effort in Implant Preparation
At a Glance
| Category | Detail |
|---|
| Condition | |
| Key Mechanisms | |
| Target Population | Surgeons performing shoulder arthroplasty, particularly low-volume surgeons and those with varying experience levels. |
| Care Setting | |
Key Highlights
- AP supports glenoid-side implant planning; humeral-side planning remains manual and requires surgeon input.
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
- Track planning time and user actions to assess the effectiveness of preoperative planning.
- Monitor surgeon experience levels to optimize the use of planning software.
Risks
Patient & Prescribing Data
Patients with primary glenohumeral osteoarthritis undergoing aTSA.
AP can assist in implant selection and positioning, particularly for surgeons with less experience.
Clinical Best Practices
- Incorporate automated planning tools to streamline preoperative workflows.
- Evaluate surgeon experience levels to optimize the use of planning software.
- Ensure adherence to software recommendations while allowing for surgeon adjustments.
- Address potential bias in planning decisions when relying on automated suggestions.
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