MicrosoftLive source
Creating better healthcare outcomes with Azure OpenAI Service and Azure AI Foundry
Use case typeClinical documentationUpdated Jun 13, 2026
Kry, a healthcare provider, uses Azure OpenAI Service to automate workflows and improve personalized patient care with AI. Ontada harnesses Azure AI to process vast unstructured medical datasets, analyzing 150 million documents in three weeks. The solution increases efficiency and enables enhanced patient insights through AI innovations.
- Organization
- Kry
- Industry
- Healthcare
- Location
- Sweden
- Published
- April 2025
Reported outcomes
Strategic outcomes
Better decisions & insightEnabled rapid patient insights from medical recordsEmployee experienceReduced administrative workload for cliniciansCustomer experience & trustImproved patient-provider matchingNew product / capabilityEnabled structured data for oncology research
Primary read
Use case focus
Showing 3 of 5
- 1Automated Extraction and Summarization of Medical Documents
- 2AI-Powered Patient Triage and Matching Agent
- 3Workflow Automation for Healthcare Administrative Tasks
- Manual processing of vast unstructured medical datasets delayed patient insights
- Clinicians burdened by administrative tasks, limiting focus on patient care
- Difficulty efficiently matching patients with appropriate healthcare services
- Inaccessible clinical notes and documentation hindered oncology research
- Growing patient demand stressed resource allocation
- Deployed Azure OpenAI Service to extract and analyze unstructured medical records
- Integrated Azure AI Foundry to automate administrative healthcare workflows
- Leveraged AI-driven patient data analysis to optimize provider matching
- Implemented generative AI for real-time healthcare recommendations
- Utilized Azure AI Content Safety to ensure compliance and data integrity
Technologies
- Analyzed 150 million medical documents in three weeks, enabling rapid insights
- Reduced cliniciansâ administrative workload, increasing time spent on patient care
- Improved patient-provider matching, enhancing healthcare efficiency
- Enabled enhanced oncology research through accessible and structured patient data
- Raised patient satisfaction to 4.8/5.0 at Kry
Sources & evidence1
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Groundedness: Unavailable
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