Overview of discover and build cohorts (preview) in healthcare data solutions
Important
- This is a preview feature.
- Preview features aren't meant for production use and might have restricted functionality. These features are available before an official release so that customers can get early access and provide feedback.
- To review the terms of service, see Discover and build cohorts (preview).
The discover and build cohorts (preview) capability in healthcare data solutions enables healthcare organizations to efficiently analyze and query healthcare data from multiple sources and formats. It simplifies the preparation of data for health trend studies, clinical trials, quality assessments, historical research, and AI development. It supports natural language queries for multimodal data exploration and cohort building, making it ideal for research and AI-driven projects.
Discover and build cohorts (preview) supports the following multimodal data sources:
- Medical images
- Structured clinical data
- Unstructured clinical notes
Use cases
Healthcare professionals, data analysts, and AI model developers can use this capability to build queries, select data subsets, and merge data sources in a low-code/no-code, generative AI Copilot experience. The capability allows you to:
- Create and refine queries for specific research projects or AI models.
- View patient data in tabular formats or generate summary statistics.
- Merge datasets from different sources for comprehensive analysis.
It offers the following benefits:
- Efficient cohort creation: Build cohorts for research or AI model training quickly.
- Seamless data exploration: Use natural language to explore diverse datasets.
- Ethical AI development: Ensure your generated insights align with the Microsoft responsible AI principles.
Discover and build cohorts (preview) provides a streamlined, flexible approach to data analysis and cohort creation, supporting a range of healthcare and AI-driven initiatives.