Artificial Intelligence holds major potential for healthcare, from predicting patient length of stay to diagnostic imaging, anti-fraud, and many more use cases. To be successful in using AI, healthcare needs solutions, not projects. Learn how you can close the gap to your AI in healthcare solution by accelerating your initiative using Microsoft Azure blueprints.
To rapidly acquire new capabilities and implement new solutions, healthcare IT and developers can now take advantage of industry-specific Azure Blueprints. Blueprints include resources such as example code, test data, security, and compliance support. These are packages that include reference architectures, guidance, how-to guides and other documentation, and may also include executable code and sample test data built around a key use case of interest to healthcare organizations. Blueprints also contain components to support privacy, security, and compliance initiatives, including threat models, security controls, responsibility matrices, and compliance audit reports.
Using these blueprints, your healthcare IT team can quickly implement a new type of solution in your secure Azure cloud. With a blueprint, however, you get 50 percent to 90 percent of the end solution. Then, you can simply devote your efforts and resources to customizing the blueprint solution.
You can learn more by watching the Accelerating Artificial Intelligence (AI) in Healthcare Using Microsoft Azure Blueprints Webcast. This session is intended for healthcare provider, payer, pharmaceuticals, and life sciences organizations. Key roles include senior technical decision makers, IT Managers Cloud Architects, and developers.
- Opportunities for AI in healthcare
- Key decision points for AI in healthcare solutions including architecture, cost, resources, process
- AI in healthcare blueprints available for Microsoft Azure, and how to get started
- Opportunities to work with Microsoft partners to accelerate your AI in healthcare initiative using the blueprint
Source: Azure Blog Feed