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OFIX MIS App

Orthofix US LLC • Radiology • 09/26/2023

510(k)IEC 62304 Class B
FDA Summary PDF

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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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

OFIX MIS AppOrthopedic surgerySurgical planningImage measurementMobile applicationSpinal implantsPedicle screwsRod length2D imagingSurgical calipers supplement

Device Metadata

Submission Number
K230252
Company
Orthofix US LLC
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Intervention
AI Function
Analysis
AI Subclass
quantification/feature localization

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 Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

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.

Cyber Score30/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment✓ Detected in Summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials(camera)
✓ Detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

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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OFIX MIS App - Orthofix US LLC | ESL FDA AI Device Intelligence