Improve patient and research outcomes with analytics and insights

Azure Health Data Services is a suite of purpose-built technologies for protected health information (PHI) in the cloud. It's built on the global open standards Fast Healthcare Interoperability Resources (FHIR)® and Digital Imaging Communications in Medicine (DICOM). Ensure data privacy within compliance boundaries, de-identify data for secondary use, and generate insights with analytics and AI tools.

The evolution of Azure API for FHIR Azure Health Data Services is the evolved version of Azure API for FHIR and offers additional technology and services. Existing customers can continue using the product without disruption to service or change in pricing structure.

• Quick deployment of managed, enterprise-grade FHIR, DICOM, and MedTech services.
• Tools to combine disparate health datasets and standardize data in the cloud.
• Connectors to Azure Synapse Analytics, Azure Machine Learning, and Power BI to generate insights from real-world data.
• Designed for protected health information (PHI), meeting all regional compliance requirements including HIPAA, GDPR, and CCPA.

Features

• **Streamline health workloads: **Unify healthcare data in the cloud to make PHI easier to exchange across the care continuum. Standardize diverse data streams such as clinical, imaging, device, and unstructured data using FHIR, DICOM, and MedTech services.
• **Gain insights from PHI data in real time: **Prepare standardized data for advanced AI and machine learning applications and create cohorts for clinical research and trials. Connect to Power BI and Azure Synapse Analytics for visualizations and analytics, use SMART on FHIR apps to build new applications, and apply machine learning to create new algorithms for diagnosis assistance and research.
• **Build on a trusted cloud for healthcare: **Azure Health Data Services is HITRUST CSF certified, which helps organizations store PHI in accordance with HIPAA and GDPR requirements and meet ONC and CMS mandates. Control access of health data with application monitoring and role-based access controls within a compliance boundary.
• **Decentralize clinical trials with remote monitoring: **Move from reactive to proactive care for better patient outcomes and experiences. Use the MedTech service to ingest high-frequency biometric data from devices, including wearables. Standardize that data into FHIR to view in context with other clinical datasets. Enable remote monitoring of patients with chronic diseases, accelerate decentralized clinical trials, and allow patients access to virtual care.
• **Process imaging data quickly and at scale: **Streamline radiology and digital pathology workflows with DICOM cast technology. Manage, store, query, retrieve, and exchange DICOM files in the cloud. Query metadata across clinical and imaging records to reduce time to diagnosis. Process medical imaging data into research cohorts quickly and at scale.