HealthBridge AI's Mitigation: HealthBridge AI’s sensitive data not only benefits from the robust security framework provided by Microsoft Azure but also enhances it through a tailored implementation.
Azure's built-in security features include multi-layered protection such as data encryption at rest and in transit, advanced threat protection, secure identity management, and network isolation. These features ensure that sensitive data is kept secure, monitored for potential threats, and protected from unauthorised access.
Beyond this, HealthBridge optimises its use of Azure by deploying distributed services across its cloud environment. This architecture helps to isolate different components of the system, reducing vulnerabilities by minimising reliance on a single point of access or failure. This approach further strengthens our platform’s ability to handle and mitigate targeted attacks or potential infrastructure disruptions, offering an extra layer of security and ensuring the availability and integrity of our services.
This combination of Azure’s multi-layered security with a customised, distributed deployment enhances data protection, meeting and exceeding industry standards for healthcare privacy and security.
In addition,
JarvisMD redacts all PII (Personally Identifiable Data) and encrypts all audio and text data (at rest and in transit), ensuring compliance with
Australian Privacy Principles. Audio data is stored for 1 year following the consultation and is then permanently deleted. This retention period balances the need for data privacy with the practical utility of the software. Immediate deletion could risk significant time loss and incomplete clinical notes, as doctors have reported experiencing other AI scribes crashing after long consultations, subsequently losing both the audio and text transcript. By retaining audio as the ground truth, doctors have the opportunity to ensure transcription accuracy and safeguard their notes in case of software issues or disputes regarding transcription accuracy. Text transcription and summarisation are retained securely to provide a reliable and comprehensive record for future reference.