Ontada
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Ontada has 3 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Key partners include McKesson.
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Hyperscaler mix
See whether Ontada's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Ontada builds AI
Build / Buy / Compose across this company's documented cases
2 of 3 cases classified (67%) · Compare all use-case types
Use case portfolio
Use case types at Ontada
Automotive operations automation leads with 1 of 3 documented cases; 3 distinct types appear across the visible portfolio.
Reported outcomes
1 case reports measurable results
−23%
Time & speed
median · 1 metric
Medians of results published in Ontada cases, normalized for comparability. See all benchmarks →
Evidence persistence
3 of 3 judgeable cases are still publicly referenced · 2 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Ontada uses across visible cases
AI Agents appears in 1 of 3 indexed cases; 7 named technologies are mentioned, led by Azure OpenAI.
All Use Cases (3)
Creating better healthcare outcomes with Azure OpenAI Service and Azure AI Foundry
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 me...
Global Enterprises Accelerate Transformation Across Sectors Through Generative AI
This Microsoft Ignite roundup highlights how diverse organizations achieved tangible results by implementing Microsoft AI technologies, especially Azure OpenAI Service and Copilot,...
Nov 2024Ontada Streamlines Oncology Data Processing for Better Patient Insights
Ontada, a McKesson business specializing in oncology technology and real-world data, partnered with Microsoft to process over 150 million unstructured oncology document components using Azure AI and Azure OpenAI Service.The collaboration addresses the significant challenge that 80% of vital healthcare data remains unstructured and often goes unanalyzed, hindering patient care improvements.Ontada's data science team deployed Large Language Models (LLMs) via Azure OpenAI Service's Batch API, targeting nearly 100 critical data elements across 39 cancer types.The solution leverages Microsoft's cloud resources to extract clinical data from multiple sources, enhancing data quality, accuracy, and the ability to visualize entire patient journeys.The ON.Genuity platform integrates proprietary EHR data (iKnowMed) and scalable AI, producing robust datasets for informing research, clinical decision-making, and improving oncology outcomes.This initiative enables healthcare providers to access more comprehensive and actionable insights, supporting personalized treatment plans and advancing oncology care quality.With improved real-world data generation, Ontada helps accelerate oncology innovation and research for life sciences partners.
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