Microsoft Oct 17, 2024
Ontada Streamlines Oncology Data Processing for Better Patient Insights 4 Innovativeness 4/5 Advanced 4/5 - Advanced. Large-scale LLM processing using Azure OpenAI Batch API extracts nearly 100 oncology elements across 150M unstructured document components and integrates into a structured ON.Genuity pipeline for patient-journey 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.
Ontada Healthcare