October 17, 2024- Ontada®, a McKesson business, announced that it is collaborating with Microsoft to utilize Azure AI, including Azure OpenAI Service, to help efficiently process more than 150 million unstructured oncology document components. This collaboration will significantly improve the ability for Ontada to extract valuable clinical information. This effort, which utilizes the Batch API from Azure OpenAI Service, will allow for enhanced data quality, accuracy, and the construction of a richer view of the patient journey, ultimately strengthening the quality and rigor of important data that can help to inform and improve patient outcomes and enhance the quality of oncology care.
One of the challenges healthcare systems face today is that as much as 80% of vital data remains unstructured, with the data in the form of clinical notes, lab tests, medical images, sensor readings, genomics, and operational and financial data. Given the enormity of processing these data, an estimated 97% of this information goes unanalyzed or unused. The Ontada Data Science team has deployed Large Language Models (LLMs) targeting close to 100 critical oncology data elements across 39 cancer types.