In years of review practice, it is commonly found that registration applicants often receive correction or supplementary document requests due to biased understanding of review logic, insufficient preparation of technical documents and unclear risk control ideas. With the assistance of a professional team, the core concerns and compliance paths for the registration application of orthopedic surgical navigation systems can be comprehensively sorted out, helping enterprises accurately meet review requirements and efficiently complete registration applications.

From the perspective of review experts, this article focuses on analyzing key review dimensions, common technical misunderstandings and practical compliance paths for registration application, so as to provide practical review references for enterprises with registration needs.

In accordance with the Medical Device Classification Catalogue, orthopedic surgical navigation systems fall under the code 01 Active Surgical Instruments-07 Surgical Navigation and Control Systems-01 Surgical Navigation Systems and are regulated as Class III medical devices.

Enterprises shall first evaluate whether the applied product fully covers the following core functional modules of the navigation system:

Orthopedic surgeries demand extremely high precision, and millimeter-level errors may result in surgical failure or nerve injury. Accordingly, system positioning accuracy, positional trueness and positional repeatability serve as core review indicators. Applicants shall submit detailed performance test reports in line with industrial standards including YY/T 1712 Robotic Assisted Surgical Devices and Systems and YY/T 1901 Requirements and Test Methods for Robotic Orthopedic Surgical Navigation Equipment.

Review focuses on overall system accuracy verification rather than performance of individual components, covering end-effector positioning accuracy of robotic arms, closed-loop coordinate feedback accuracy of real-time navigation tracking, and trajectory tracking performance under dynamic working conditions. Adequate verification data shall also be supplied for accessory parameters directly impacting system precision such as mounting repeatability and locking force of matched X-ray equipment and surgical instruments. Verification includes not only technical precision and test data, but also correlation analysis on clinical acceptability; precision thresholds for specific surgeries shall be defined with reference to internationally recognized literatures or clinical guidelines.

For reusable surgical instruments, sterilization resistance verification reports specifying maximum permissible sterilization cycles are required. Research documents including reliability analysis and service life testing of the complete device and critical components shall be submitted to substantiate the claimed product shelf life.

Comprehensive performance verification reports constitute an indispensable part of the registration evidence chain and a mandatory review prerequisite. Insufficient verification documentation highly probably leads to supplementary data requests or registration rejection.

As software-intensive devices, such products are normally classified as Severity Level C for software safety. Where the embedded functional modules adopt deep learning and other AI technologies, reviewers check complete software documentation, system architecture, functional composition and algorithm principles (especially algorithms for AI-aided surgical planning and navigation) as well as version coding rules. In accordance with the Guidelines for Registration Review of Artificial Intelligence Medical Devices, reviewers further examine documents covering AI module items: training details including source, diversity, labeling quality and augmentation scheme of training datasets; algorithm performance metrics such as sensitivity, specificity and AUC verified on independent test datasets; generalization capability validated via cross tests across multiple centers, devices and operators; algorithm update management including online/offline upgrade schemes, validation procedures and version control rules. Given the black-box nature of AI algorithms, applicants must provide sufficient interpretability evidence such as key feature extraction information to build an integrated evidence set proving clinical rationality of algorithm-driven decisions.

Cybersecurity stands as another core review focus. Since the device may access hospital intranets or transmit data remotely, reviewers follow the 2022 Revised Guidelines for Registration Review of Medical Device Cybersecurity to assess data confidentiality, access permission control, intrusion detection and vulnerability management. For systems supporting remote firmware upgrade, detailed cybersecurity upgrade policies are mandatory, covering upgrade package integrity verification, version rollback mechanism and contingency plans for failed updates. In summary, review examiners verify robust control and exception handling capabilities to safeguard patient privacy and stable equipment operation.

Common risk factors prone to supplementary document requests

Key performance indicators specified in product specifications lack quantifiable acceptance criteria, and relevant verification is only completed under ideal static environments without consideration of actual complicated intraoperative conditions. For instance, no accuracy stability data is supplied under dynamic interference including occlusion caused by surgical staff movement, reflective marker contamination by blood stains, electromagnetic disturbance from electrosurgical knives, and slight patient displacement due to respiration or positional change.

Applicants intend to exempt clinical trials via predicate device comparison, yet selected predicate products have substantial discrepancies in core technologies such as navigation principles and proprietary algorithms. A typical case is adopting a thoracolumbar spine navigation system to justify cervical spine applicability without adequate scientific evidence or supplementary test data like cadaver experiments to prove such differences exert no adverse impacts on safety and effectiveness.

Obvious flaws exist in clinical trial design, including overly homogeneous enrolled cases lacking complex patient coverage and evaluation indexes without blinded comparison against clinical gold standards.

Risk management fails to fully analyze high-risk scenarios and only covers conventional hazards. Emergency response plans and consequence analysis for extreme incidents such as intraoperative tracker shift, registration failure and in-operation software crash are not elaborated.

Registration application is a systematic project requiring coordinated efforts from enterprises in technical R&D, quality control, clinical verification and regulatory compliance.

Enterprises shall engage professional registration teams at the early project stage to fully grasp review requirements. Regulatory specifications shall be taken as benchmark throughout the whole project to prevent registration rejection resulting from careless oversights in later phases.

Deda Medical delivers full-cycle services covering preliminary feasibility assessment, research protocol design, clinical trial assistance and dossier compilation in fields including medical device clinical trials, safety and effectiveness evaluation, registration documentation drafting and quality system docking.

From the perspective of review specialists, applicants are encouraged to conduct active communication with professional registration institutions and regulatory authorities, thoroughly interpret relevant laws and guidelines, and compile application documents in a scientific and rigorous manner. Such practices will facilitate innovative advancement of orthopedic surgical navigation technologies, deliver more precise and secure surgical options for clinicians and ultimately benefit patients.