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Predict and prevent future incidents by combining IoT and intelligence to optimize treatments, using Azure to remotely monitor patients and analyze the massive amounts of data generated by medical devices.
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- Securely ingest medical sensor and device data using Azure IoT Hub.
- Securely store sensor and device data in Cosmos DB.
- Analyze sensor and device data using a pre-trained Cognitive Services API or a custom developed Machine Learning model.
- Store Artificial Intelligence (AI) and Machine Learning results in Cosmos DB.
- Interact AI and Machine Learning results using Power BI, while preserving Azure role-based access control (Azure RBAC).
- Integrate data insights with backend systems and processes using Logic Apps.
- Azure IoT Hub: Connect, monitor and manage billions of IoT assets
- Defender for Cloud: Unify security management and enable advanced threat protection across hybrid cloud workloads
- Cognitive Services: Get started with quickstarts, samples, and tutorials
- Key Vault: Safeguard and maintain control of keys and other secrets
- Logic Apps: Automate the access and use of data across clouds without writing code
- Power BI Embedded: Embed fully interactive, stunning data visualizations in your applications
- Azure Cosmos DB: Globally distributed, multi-model database for any scale
- Application Insights: Detect, triage, and diagnose issues in your web apps and services
- Azure Machine Learning: Build, deploy, and manage predictive analytics solutions
- Azure Monitor: Full observability into your applications, infrastructure, and network
- IoT Hub Documentation
- Microsoft Defender for Cloud Documentation
- Get Started with Azure
- What is Azure Key Vault?
- Azure Logic Apps Documentation
- Power BI Embedded Documentation
- Azure Cosmos DB Documentation
- Application Insights Documentation
- Azure Machine Learning Documentation
- Azure Monitor Documentation