OFIX MIS App
Orthofix US LLC • Radiology • 09/26/2023
Device Purpose
The OFIX MIS App is a mobile software application designed to assist healthcare professionals in orthopedic surgery planning by enabling the viewing, storing, and measuring of 2D images captured via a mobile phone camera. Its primary methodology involves analyzing these images to determine appropriate rod lengths for Orthofix pedicle screw spinal systems, thereby supplementing traditional caliper measurements and providing corresponding product information.
Summary
The OFIX MIS App is a software application designed for healthcare professionals to assist in planning orthopedic surgeries. Its core functions include enabling users to view, store, and measure medical images, specifically for the purpose of planning surgical procedures that involve the placement of implants, requiring clinical judgment and experience from the healthcare provider for its proper and effective utilization. Functioning as a novel mobile phone-based solution, the OFIX MIS App is intended to supplement the traditional use of calipers, particularly in selecting appropriate rod lengths for pedicle screw type spinal systems used in immobilization and stabilization. The app leverages the mobile phone's camera to capture 2D images relevant to spinal implant procedures, then processes these images by measuring the difference between known Orthofix pedicle screw diameters to provide feedback on suitable rod lengths and the corresponding Orthofix product numbers. Non-clinical software verification, validation, and usability testing demonstrated the app's accuracy and usability as intended.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the OFIX MIS App's image processing algorithm account for potential distortions or scaling inaccuracies when capturing 2D images with various mobile phone cameras in a clinical setting?; What were the specific quantitative results of the benchtop and simulated use testing regarding the accuracy of rod length determination compared to traditional calipers?; How does the app ensure the correct identification of 'known Orthofix pedicle screw diameters' from the captured image to serve as a reliable reference for measurement?; What are the data security and privacy measures implemented within the OFIX MIS App, particularly concerning the storage and transmission of patient-related images on a mobile device?; Are there any limitations on the types of spinal pathologies or anatomical variations where the OFIX MIS App's accuracy for rod length selection might be reduced?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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Powered by SBOMator™Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
Analysis:
• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.
• Evidence of ML-BOM, HBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: SBOM, SaaSBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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