To determine the impact of automated planning (AP) on the time required for preoperative planning in shoulder arthroplasty, specifically measuring planning duration and user actions.
Key Findings:
Surgeons using AP had significantly reduced planning times compared to those using manual methods (p < 0.05).
The number of user actions required was also lower in the AP group (p < 0.05).
Surgeon experience with the software influenced planning efficiency, with expert users benefiting the most.
Interpretation:
Automated planning tools can streamline preoperative planning, reducing time and effort for surgeons, particularly beneficial for those with less experience by providing structured guidance.
Limitations:
The study focused only on glenoid-side implant planning, leaving humeral-side planning to the surgeon, which may affect overall planning efficiency.
Data was limited to a specific software version and may not generalize to other systems, potentially limiting the applicability of the findings.
Conclusion:
AP in preoperative planning for shoulder arthroplasty significantly decreases planning time and user actions, supporting its use in clinical practice.
Investigators find that short sleep, insomnia, and night shift work are associated with increased risk of knee and hip osteoarthritis and joint replacement.
