HSA Singapore Issues Updated Guidance on Medical Device Compliance, Grouping, and Submission Requirements

Hsa Singapore Updates Guidance Medical Device Compliance Grouping Submission Requirements

On 5 November 2025, the Behörde für Gesundheitswissenschaften (HSA) of Singapore released new guidance documents outlining regulatory requirements for medical device registration, compliance, grouping criteria, and submission processes. The update aims to streamline regulatory pathways while reinforcing safety and performance expectations for medical devices supplied in Singapore. The guidance applies to manufacturers, importers, wholesalers, and other stakeholders operating across the medical device supply chain.

Overview of the Updated Guidance

The new publications clarify the criteria for permissible and non-permissible variants of IVD (In Vitro Diagnostic) analysers unter dem FAMILY grouping framework. Variants that alter diagnostic functions require separate listings, while permissible variants can be grouped more efficiently under existing rules.

The guidance also introduces detailed expectations for machine learning-enabled medical devices, requiring documentation of model training, validation, potential vulnerabilities, and integration into clinical workflows.

Für connected medical devices, HSA mandates the submission of Cybersicherheit evidence along with plans for ongoing threat detection and management.

Additionally, the update reinforces the need for ISO 13485 or SS 620 (GDPMDS – Good Distribution Practice for Medical Devices) certification across the supply chain, except for Class A devices that meet specific declaration requirements. Stakeholders must also ensure timely renewal of dealer licenses via the SHARE system (Singapore Health Product Access and Regulatory E-System), with auto-renewal available for GIRO users, and must update Class A medical device notifications prior to import or supply.

Why This Matters

The updated guidance provides greater clarity on device grouping, AI-enabled device documentation, cybersecurity safeguards, and supply chain quality certifications. These requirements support regulatory consistency, help streamline product registration, and ensure continued alignment with Singapore’s safety and performance standards without introducing unnecessary administrative burden.

Who Should Review This Update

This publication is relevant for Regulatory Affairs, Quality Assurance, AI and software development teams, manufacturers, importers, Und wholesalers dealing with medical devices in Singapore, especially those managing IVD analysers, connected devices, or machine learning-enabled technologies.

Nächste Schritte

Stakeholders should review the updated HSA guidance to confirm that product classifications align with FAMILY grouping criteria. Regulatory teams should assess documentation for machine learning-enabled devices and connected device cybersecurity evidence, verify ISO 13485 or SS 620 certifications across the supply chain, and ensure Class A notifications are updated before import or supply. As organizations refine compliance strategies, RegASK supports proactive monitoring and alignment with evolving Singapore HSA expectations.

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FAQs

What changes were introduced for IVD analysers in the new HSA guidance?

The update clarifies that IVD analyser variants affecting diagnostic function require separate listings, while permissible variants may be grouped under the FAMILY criteria.

What are the documentation requirements for machine learning-enabled medical devices?

Manufacturers must provide details on model training, validation, vulnerabilities, and how the model integrates into the intended clinical workflow.

Are there new certification requirements for medical device supply chain stakeholders?

Yes. ISO 13485 or SS 620 (GDPMDS) certification is required across the supply chain, except for Class A devices that meet specific declaration conditions.

How can RegASK support companies responding to HSA’s updated guidance?

RegASK helps organizations track evolving HSA requirements and assess compliance readiness using predictive regulatory intelligence.

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