What challenges did CueZen face before AI implementation?

Difficulty engaging patients proactively with personalized health interventions. Fragmentation of clinical and lifestyle data across disparate systems. Need for scalable and secure infrastructure to deploy patient engagement solutions globally. Rising healthcare costs due to insufficient targeting and low adherence to preventive recommendations.

What was the impact of the AI solution?

Enabled rapid global rollout of personalized engagement solutions. Improved patient outcomes via sustained behavior change and actionable recommendations. Enhanced data-driven decision making for healthcare enterprises. Lowered healthcare costs through increased patient adherence and engagement.

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Source

Microsoft

CueZen personalizes global patient engagement and health outcomes

Use case typePatient engagementUpdated Jun 13, 2026

CueZen, a healthcare personalization engine, partnered with Microsoft to leverage Azure Health Data Services and Azure Cloud, aiming to revolutionize personalized patient engagement. By creating digital twins that combine clinical and lifestyle data, CueZen enables healthcare providers to deliver medically relevant, tailored health recommendations efficiently and at scale. Integrating clinical records with data from health devices, trackers, and apps, the system facilitates sustained behavior change and improved patient outcomes worldwide. Azure's secure and compliant cloud platform supports rapid deployment of new features and maintains high security and privacy of health information. The solution facilitates data management, analytics, and ongoing enhancements in digital healthcare engagement capabilities for enterprise customers.

Organization: CueZen
Industry: Healthcare
Location: Global
Published: April 2023

Reported outcomes

Strategic outcomes

Market & geographic expansionEnabled global rollout of personalized engagement solutionsBetter decisions & insightImproved data-driven healthcare decisionsCustomer experience & trustImproved patient outcomes and adherenceRisk & complianceSupported secure, compliant health data handling

Primary read

Use case focus

Showing 3 of 3

1Personalized Patient Engagement Platform
2Digital Twin Creation for Healthcare Personalization
3AI-Powered Health Recommendation Engine

Difficulty engaging patients proactively with personalized health interventions.
Fragmentation of clinical and lifestyle data across disparate systems.
Need for scalable and secure infrastructure to deploy patient engagement solutions globally.
Rising healthcare costs due to insufficient targeting and low adherence to preventive recommendations.

Implemented CueZen's AI-based personalization engine with Microsoft Azure Health Data Services.
Created digital twins integrating lifestyle and clinical data for real-time patient health insights.
Used Azure Cloud for secure, scalable, global deployment.
Empowered rapid enhancement of features and management of connected medical devices.

Technologies

Azure Health Data Services Azure Cloud

Enabled rapid global rollout of personalized engagement solutions.
Improved patient outcomes via sustained behavior change and actionable recommendations.
Enhanced data-driven decision making for healthcare enterprises.
Lowered healthcare costs through increased patient adherence and engagement.

Architecture

CueZen uses its AI personalization engine integrated with Microsoft Azure Health Data Services to create digital twins, merging clinical and lifestyle data for each patient. The platform ingests data from connected devices and apps, processes it using Azure's secure infrastructure, and rapidly deploys updates and new functions to providers.

Sources & evidence1

Groundedness: Unavailable

Primary source

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Customer evidence