What challenges did Idonia face before AI implementation?

Medical professionals and patients faced difficulties accessing and sharing medical imaging and records securely and compliantly. Legacy platforms had performance limitations and lacked scalability to handle growing imaging volumes and client needs. Ensuring compliance with international data privacy regulations (HIPAA, GDPR) and sustainability goals was critical.

What was the impact of the AI solution?

Achieved 80% latency reduction in image processing and a 200% speed boost in data processing. Saved clients nearly €500,000 annually by eliminating the need for physical CDs. Eliminated 90 tons of CO2 emissions annually through reduced physical media production. Supports over 4.5 million clinical device data requests per month with high security and compliance. Laid foundation for AI-led research services and global expansion plans with trusted, scalable infrastructure.

Source

GCPEvidence: Medium50/100

Idonia: Providing Timely Access to Medical Imaging Using a Secure Cloud-Based Platform

Use case typeHealthcare analyticsUpdated Jun 13, 2026

Idonia is a cloud service enabling secure access, communication, and portability for nearly 3 million medical records and 60 million images shared between medical professionals and 300,000 patients. The company faced challenges of simplifying access to medical imaging data while ensuring compliance with HIPAA, GDPR, and sustainability goals. Idonia leveraged Google Cloud technologies including Cloud Healthcare API, Google Kubernetes Engine, Certificate Authority Service, Cloud SQL, Cloud Storage, and Looker to build a scalable, secure cloud platform. With support from Google Cloud Premier Partner Devoteam, Idonia built a global-compliant, auto-scaling infrastructure that processes over 4.5 million clinical device data requests monthly, accelerating data processing by 200% and reducing image processing latency by 80%. Idonia also established a data lake and is developing AI/ML capabilities for enhanced medical research and analysis, focusing on patient privacy and data ownership.

Organization: Idonia
Industry: Healthcare
Location: Spain
Published: May 2026

Reported outcomes

−80%

quantified impactTime & speed

+200%quantified impact

Strategic outcomes

New product / capabilityLaunched secure medical imaging access platformScale & capacityBuilt scalable cloud infrastructureRisk & complianceEnabled compliant medical data sharingSustainability & ESGReduced reliance on physical media

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 80% decrease

Google Cloud Customer StoriesMay 10, 2026Customer storyInferred claimMedium evidence strength

Achieved 80% latency reduction in image processing and a 200% speed boost in data processing.

Normalized claim

Quantified impact: 200% increase

Google Cloud Customer StoriesMay 10, 2026Customer storyInferred claimMedium evidence strength

Achieved 80% latency reduction in image processing and a 200% speed boost in data processing.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Idonia
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1Medical Imaging Access
2Cloud Security
3Data Analytics

Medical professionals and patients faced difficulties accessing and sharing medical imaging and records securely and compliantly.
Legacy platforms had performance limitations and lacked scalability to handle growing imaging volumes and client needs.
Ensuring compliance with international data privacy regulations (HIPAA, GDPR) and sustainability goals was critical.

Built a cloud-native platform leveraging Google Cloud services: Cloud Healthcare API for secure image processing, Google Kubernetes Engine for scalable deployment, Certificate Authority Service to ensure data privacy, Cloud SQL and Cloud Storage for robust data management, and Looker for data analytics.
Partnered with Google Cloud Premier Partner Devoteam for initial architecture setup and iterative platform improvement.
Implemented auto-scaling principles to dynamically match infrastructure with client demand, drastically reducing costs and latency.
Developed a proprietary app (Idonia Connect) to facilitate secure access to medical images and results for clinicians and patients.
Created Idonia Data Lake combining public and private data for analytics and AI-driven insights while respecting patient privacy.

Technologies

Cloud Healthcare API Google Kubernetes Engine Certificate Authority Service Cloud SQL Cloud Storage Looker

Achieved 80% latency reduction in image processing and a 200% speed boost in data processing.
Saved clients nearly €500,000 annually by eliminating the need for physical CDs.
Eliminated 90 tons of CO2 emissions annually through reduced physical media production.
Supports over 4.5 million clinical device data requests per month with high security and compliance.
Laid foundation for AI-led research services and global expansion plans with trusted, scalable infrastructure.

Architecture

Cloud-native platform architecture integrating Cloud Healthcare API, Google Kubernetes Engine, Certificate Authority Service, Cloud SQL, Cloud Storage, and Looker for scalable, secure, compliant medical data access and analytics.

Implementation partners1

Devoteam

Sources & evidence1

Evidence: Medium50/100Evidence strength