AWS HealthLake announces data transformation agent for automated CCDA-to-FHIR data conversion (Preview) Starting today, healthcare organizations can now transform legacy clinical documents into queryable FHIR resources in AWS HealthLake in days instead of months, unlocking use cases such as longitudinal patient record generation, population health analytics, and clinical data exchange. AWS HealthLake data transformation agent (preview) is an AI-powered capability that converts Consolidated Clinical Document Architecture (CCDA) files into Fast Health Interoperability Resources Release 4 (FHIR R4)-compliant resources without requiring specialized FHIR expertise, through an integrated experience that combines real-time conversion testing, AI-assisted template customization, and scalable bulk import. The data transformation agent includes ready-to-use templates for CCDA 2.1 to FHIR R4 data conversion. Developers can submit individual CCDA files through a synchronous conversion API or console workflow and receive transformed FHIR Bundles in seconds. They can preview results, interactively validate conversion quality, and sign off on templates before production use. An enhanced import workflow automatically detects uploaded CCDA files, applies the active template, matches and reconciles patients based on identifiers, and ingests the resulting FHIR resources into the target AWS HealthLake datastore with detailed logs. All capabilities are available both on the AWS console and programmatically via API for seamless integration into existing workflows. When default templates need adjustment, the data transformation agent offers an AI-powered experience to customize them directly in the console. Users can describe changes such as "skip medications with status entered-in-error" or "map procedure dates to performedDateTime instead of performedPeriod" in natural language, and the AI agent modifies the underlying template automatically. Manual curation is also available for power users who wish to make targeted template edits. Users can then immediately test against sample files, iterate conversationally, and publish once satisfied. AWS HealthLake is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Europe West (London), Europe (Ireland), and Asia Pacific SouthEast (Sydney) Regions. Visit the AWS Region Table to see all the regions. To learn more, see the AWS HealthLake product page.

🆕 AWS HealthLake introduces a data transformation agent to quickly convert CCDA to FHIR, enabling faster patient record generation and analytics. AI-powered, it offers customizable templates, bulk import, and seamless API integration, available in multiple regions.

#AWS #AmazonHealthlake

AWS HealthLake announces data transformation agent for automated CCDA-to-FHIR data conversion (Preview) Starting today, healthcare organizations can now transform legacy clinical documents into queryable FHIR resources in AWS HealthLake in days instead of months, unlocking use cases such as longitudinal patient record generation, population health analytics, and clinical data exchange. AWS HealthLake data transformation agent (preview) is an AI-powered capability that converts Consolidated Clinical Document Architecture (CCDA) files into Fast Health Interoperability Resources Release 4 (FHIR R4)-compliant resources without requiring specialized FHIR expertise, through an integrated experience that combines real-time conversion testing, AI-assisted template customization, and scalable bulk import. The data transformation agent includes ready-to-use templates for CCDA 2.1 to FHIR R4 data conversion. Developers can submit individual CCDA files through a synchronous conversion API or console workflow and receive transformed FHIR Bundles in seconds. They can preview results, interactively validate conversion quality, and sign off on templates before production use. An enhanced import workflow automatically detects uploaded CCDA files, applies the active template, matches and reconciles patients based on identifiers, and ingests the resulting FHIR resources into the target AWS HealthLake datastore with detailed logs. All capabilities are available both on the AWS console and programmatically via API for seamless integration into existing workflows. When default templates need adjustment, the data transformation agent offers an AI-powered experience to customize them directly in the console. Users can describe changes such as "skip medications with status entered-in-error" or "map procedure dates to performedDateTime instead of performedPeriod" in natural language, and the AI agent modifies the underlying template automatically. Manual curation is also available for power users who wish to make targeted template edits. Users can then immediately test against sample files, iterate conversationally, and publish once satisfied. AWS HealthLake is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Europe West (London), Europe (Ireland), and Asia Pacific SouthEast (Sydney) Regions. Visit the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ to see all the regions. To learn more, see the https://aws.amazon.com/healthlake/.

AWS HealthLake announces data transformation agent for automated CCDA-to-FHIR data conversion (Preview)

Starting today, healthcare organizations can now transform legacy clinical documents into queryable FHIR resources in AWS HealthLake in days instead of months, unlock...

#AWS #AmazonHealthlake

AWS HealthLake is now available in the AWS Europe (Ireland) Region Starting today, European healthcare and life sciences customers can use AWS HealthLake to store, transform, and analyze their health data in FHIR (Fast Healthcare Interoperable Resources) standards while maintaining data residency within the EU. AWS HealthLake is a fully managed FHIR storage, transactional, and analytics service. Customers can normalize and store health data from disparate raw data sources into a FHIR data store, and leverage HealthLake FHIR-based APIs to build interactive applications and interoperability workflows. Next, customers can leverage the HealthLake Analytics module to automatically transform FHIR data into an analytics-ready format for population health analytics, build patient cohorts, or train predictive models to improve quality of care. HealthLake data stores easily integrate with AWS AI and analytics tools such as Amazon Athena for SQL queries, Amazon QuickSight for visualization, and Amazon SageMaker for training and drawing inferences from ML models. In addition to Europe (Ireland), AWS HealthLake is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Europe West (London), and Asia Pacific SouthEast (Sydney) Regions. Visit the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ to see all the regions. To learn more, see the https://aws.amazon.com/healthlake/.  

AWS HealthLake is now available in the AWS Europe (Ireland) Region

Starting today, European healthcare and life sciences customers can use AWS HealthLake to store, transform, and analyze their health data in FHIR (Fast Healthcare Interoperable Resources) standards while...

#AWS #AmazonHealthlake

AWS HealthLake is now available in the AWS Europe (Ireland) Region Starting today, European healthcare and life sciences customers can use AWS HealthLake to store, transform, and analyze their health data in FHIR (Fast Healthcare Interoperable Resources) standards while maintaining data residency within the EU. AWS HealthLake is a fully managed FHIR storage, transactional, and analytics service. Customers can normalize and store health data from disparate raw data sources into a FHIR data store, and leverage HealthLake FHIR-based APIs to build interactive applications and interoperability workflows. Next, customers can leverage the HealthLake Analytics module to automatically transform FHIR data into an analytics-ready format for population health analytics, build patient cohorts, or train predictive models to improve quality of care. HealthLake data stores easily integrate with AWS AI and analytics tools such as Amazon Athena for SQL queries, Amazon QuickSight for visualization, and Amazon SageMaker for training and drawing inferences from ML models. In addition to Europe (Ireland), AWS HealthLake is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Europe West (London), and Asia Pacific SouthEast (Sydney) Regions. Visit the AWS Region Table to see all the regions. To learn more, see the AWS HealthLake product page.

🆕 AWS HealthLake now available in Europe (Ireland) for EU healthcare data storage, transformation, and analytics in FHIR standards, integrating with AWS AI tools. Available in multiple regions. Visit AWS HealthLake for more.

#AWS #AmazonHealthlake

AWS HealthOmics now supports Elastic Throughput for dynamic run storage Today, we are excited to announce throughput improvements to dynamic run storage for AWS HealthOmics. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. Dynamic run storage automatically scales storage capacity based on workflow needs. With this release, dynamic run storage now also scales throughput using Elastic Throughput mode on Amazon Elastic File System. This feature is recommended for runs requiring faster start times, workflows with unpredictable storage requirements, and iterative development cycles, helping research teams reduce time-to-insight for time-sensitive genomic analyses. Dynamic run storage with elastic throughput is now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore) and Israel (Tel Aviv). To get started with dynamic run storage, see the https://docs.aws.amazon.com/omics/latest/dev/workflows-run-types.html.

AWS HealthOmics now supports Elastic Throughput for dynamic run storage

Today, we are excited to announce throughput improvements to dynamic run storage for AWS HealthOmics. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that hel...

#AWS #AmazonOmics #AmazonHealthlake #AwsHealth

AWS HealthOmics now supports Elastic Throughput for dynamic run storage Today, we are excited to announce throughput improvements to dynamic run storage for AWS HealthOmics. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. Dynamic run storage automatically scales storage capacity based on workflow needs. With this release, dynamic run storage now also scales throughput using Elastic Throughput mode on Amazon Elastic File System. This feature is recommended for runs requiring faster start times, workflows with unpredictable storage requirements, and iterative development cycles, helping research teams reduce time-to-insight for time-sensitive genomic analyses. Dynamic run storage with elastic throughput is now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore) and Israel (Tel Aviv). To get started with dynamic run storage, see the documentation.

🆕 AWS HealthOmics now supports Elastic Throughput for dynamic run storage, scaling storage capacity and throughput on Amazon EFS, aiding faster genomic analysis and reducing time-to-insight for research teams. Available in multiple regions.

#AWS #AmazonOmics #AmazonHealthlake #AwsHealth