AI Risk Classification & Regulatory Positioning
Risk classification framework and regulatory alignment.
1. Purpose
This document outlines the regulatory classification and risk positioning of the Respocare Connect AI platform.
The objective is to clarify the intended role of the platform and its relationship to existing healthcare regulatory frameworks.
2. Intended System Purpose
Respocare Connect AI is designed as a clinical documentation and information support platform.
The system is intended to assist clinicians with tasks including:
- summarising clinical documentation
- organising patient records
- drafting structured medical notes
- retrieving relevant clinical information
The platform is designed to support healthcare professionals in managing clinical data more efficiently.
3. Clinical Decision Authority
Respocare Connect AI does not replace clinical judgement.
All clinical decisions remain the responsibility of the licensed healthcare professional.
The system does not autonomously diagnose, prescribe, or recommend treatment.
4. Role of Artificial Intelligence
Artificial intelligence within the platform operates as an assistive analytical tool.
AI may assist with:
- document interpretation
- summarisation of patient data
- drafting clinical documentation
Outputs generated by the system require clinician review and approval.
5. Human Oversight Model
The platform operates under a human-in-the-loop framework.
This means:
- clinicians review AI outputs
- clinicians approve documentation before storage
- clinicians interpret all clinical information
This model preserves professional responsibility with the clinician.
6. Regulatory Considerations
Healthcare software may fall within regulatory frameworks where software performs medical functions.
Respocare Connect AI is designed as a clinical support and documentation platform rather than a diagnostic or treatment system.
Where applicable, the platform may be evaluated under regulatory frameworks governing healthcare software.
7. Global Regulatory Awareness
Respocare monitors developments in international healthcare AI regulation.
Relevant regulatory frameworks may include:
- medical device regulations governing clinical software
- data protection laws
- healthcare information governance standards
The platform is developed with awareness of these evolving regulatory environments.
8. Risk Mitigation
Respocare Connect AI incorporates safeguards to reduce potential risks associated with AI systems.
Safeguards include:
- clinician oversight
- approval workflows for documentation
- transparency of AI outputs
These measures help ensure that the platform supports clinical workflows without replacing professional judgement.
9. Ethical AI Principles
Respocare is committed to responsible development of AI technologies in healthcare.
Key principles include:
Safety — AI systems must operate within clear boundaries.
Transparency — Users must understand the role of AI.
Human authority — Clinical responsibility remains with healthcare professionals.
Data protection — Patient information must be safeguarded.
10. Future Regulatory Alignment
Respocare will continue to evaluate regulatory guidance as healthcare AI frameworks evolve.
Where necessary, the company may pursue additional regulatory assessments to ensure alignment with emerging standards.
11. Conclusion
Respocare Connect AI is designed as a clinician-controlled support platform that enhances the management of clinical information while preserving professional responsibility and patient safety.
The system is built with safeguards intended to ensure responsible use of AI technologies in healthcare environments.