What challenges did Ambra Health face before AI implementation?

Healthcare research centers faced difficulties securely sharing and using sensitive medical imaging data while ensuring compliance with privacy regulations. Manual anonymization processes were time-consuming and limited collaborative research capabilities.

What was the impact of the AI solution?

Accelerated AI research workflows by enabling seamless sharing and annotation of anonymized medical images. Reduced onboarding time for cloud deployments from months to minutes due to built-in security, compliance, and scalable infrastructure. Supports advanced AI and deep learning development from medical imaging data while maintaining HIPAA and GDPR regulatory compliance. Improved collaboration among researchers by providing easy, secure access to anonymized patient imaging data worldwide.

Source

GCP

Ambra Health: Accelerating Healthcare Research with Anonymized Medical Imaging Data Using Google Cloud

Use case typeMedical imagingUpdated Jun 13, 2026

Ambra Health, a medical data and image management SaaS company, partnered with Google Cloud to develop a secure, scalable platform for anonymizing and sharing medical imaging data to accelerate AI research collaboration. The solution leverages Google Cloud Healthcare API, Cloud Data Loss Prevention (DLP) API, Compute Engine, and Cloud Storage to de-identify and manage sensitive patient imaging data at scale. A major academic medical center uses Ambra's cloud-native PACS solution on Google Cloud, enabling efficient anonymization, annotation, secure sharing, and web-based zero-footprint DICOM viewer access for researchers. This platform reduced cloud deployment onboarding time from months to minutes while meeting HIPAA and GDPR compliance, advancing deep learning and AI research with anonymized imaging data.

Organization: Ambra Health
Industry: Healthcare
Location: United States
Published: May 2026

Reported outcomes

Strategic outcomes

Risk & complianceEnabled compliant anonymized imaging data sharingNew product / capabilityBuilt a cloud-native PACS platformCustomer experience & trustProvided secure global researcher accessSpeed & agilityAccelerated cloud deployment onboarding

Primary read

Use case focus

Showing 3 of 3

1Data Anonymization
2Medical Imaging
3Healthcare Research

Healthcare research centers faced difficulties securely sharing and using sensitive medical imaging data while ensuring compliance with privacy regulations.
Manual anonymization processes were time-consuming and limited collaborative research capabilities.

Ambra Health implemented a cloud-native Picture Archiving and Communication System (PACS) on Google Cloud.
Utilized Google Cloud Healthcare API and Cloud Data Loss Prevention API for anonymization and management of sensitive PHI data in DICOM medical images.
Enabled secure, scalable repository for anonymized imaging data accessible globally through a zero-footprint, FDA-cleared web DICOM viewer.
Infrastructure uses Google Cloud Compute Engine and Cloud Storage for scalable, secure virtual machine and object storage services.

Technologies

Cloud Healthcare API Cloud Data Loss Prevention API Compute Engine Cloud Storage Ambra Cloud PACS

Accelerated AI research workflows by enabling seamless sharing and annotation of anonymized medical images.
Reduced onboarding time for cloud deployments from months to minutes due to built-in security, compliance, and scalable infrastructure.
Supports advanced AI and deep learning development from medical imaging data while maintaining HIPAA and GDPR regulatory compliance.
Improved collaboration among researchers by providing easy, secure access to anonymized patient imaging data worldwide.

Architecture

The solution architecture includes Ambra Health's cloud-native PACS platform running on Google Cloud virtual machines (Compute Engine), using Cloud Healthcare API for data integration, DLP API for data anonymization, and Cloud Storage for secure object storage.

Sources & evidence1

Groundedness: 4/5

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