Search results for "AWS": 95 articles
AWS HealthLake provides a 'Resource matching' capability to build an accurate, unified view of data aggregated from multiple systems. This mechanism identifies and links multiple FHIR resources representing the same real-world entity without modifying the original records.
Leopard Data migrated a large-scale, multi-tenant healthcare interoperability platform from AWS to Google Cloud. They utilized an AI agent pipeline to analyze and rewrite FHIR/HL7 codebases, achieving a re-platforming that maintained regulatory compliance.
AWS offers 'HealthLake,' a fully managed, enterprise-scale FHIR R4 server for patient and member applications. This allows users to utilize large-scale, standards-based APIs while reducing operational burden.
Sharecare has launched 'AskMD,' a platform utilizing conversational AI to integrate real-time insurance information and clinical data. It supports users from understanding symptoms to locating appropriate in-network providers seamlessly.
Innovaccer has signed a Strategic Collaboration Agreement (SCA) with AWS. This partnership aims to accelerate the transition of agentic AI from pilot phases to production-grade deployment, utilizing services like Amazon Bedrock and AWS HealthLake for FHIR-native data access.
Healthcare AI pioneer Innovaccer announced a multi-year strategic collaboration with Amazon Web Services (AWS). This partnership aims to accelerate the transition of AI agents from pilot phases into production-grade deployment, tackling systemic operational waste.
The US government is accelerating innovation in health IT through large-scale funding and certification programs (AI+ Healthcare Administrator™). This initiative aims to modernize infrastructure using open standards and develop next-generation care models, providing participating companies with clinical validation access and expanded market opportunities.
When healthcare organizations use generative AI for clinical data analysis and workflow automation, risks like ePHI leakage and hallucination exist. This article introduces a multi-layered AWS technical architecture that incorporates HIPAA compliance to address these risks.
UNMIRI LLC has launched a precision oncology software platform that converts next-generation sequencing reports into citation-grounded clinical data. This set of APIs normalizes multi-vendor data into FHIR R4 Genomics format, providing reliable decision support.
This article details how to build a pipeline that converts unstructured paper medical records (PDFs) into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. This serverless system automatically extracts and integrates structured clinical data without manual effort or custom ML models.
The AWS CLI `wait` command provides functionality to poll an API until a specific condition is met. This article details how to use this command to wait for state changes or job completion related to FHIR data stores (e.g., `fhir-datastore-active`).
AWS HealthLake provides a unified, AI-ready data foundation to consolidate vast amounts of healthcare data that are currently siloed and in incompatible formats. This enables fragmented information from sources like EHRs and claims to connect across all stages of care—from preventative medicine to clinical decision support and automated payer processes—creating tangible value.
EasyPAが提供する「FHIR Explorer Premium」は、単なる閲覧に留まらない完全な書き込み層を追加したサービスである。ユーザーは本サービスを利用することで、FHIR R4リソースの作成、更新、削除に加え、トランザクションバンドルやバルクインポート（最大500リソース/コール）が可能となる。
Arvind Telharkar, a software engineer at Amazon Web Services (AWS), developed and launched a healthcare data transformation platform utilizing agentic AI. This solution converts legacy healthcare data formats (such as C-CDA) into the FHIR standard, thereby improving data accessibility and contributing to better patient care outcomes.
AWS offers specialized services like HealthLake (FHIR) and HealthImaging to standardize medical data and enable advanced analysis. This suite of solutions unifies fragmented EHR data, supporting diverse applications from genomic analysis to information extraction from clinical documents using AI.
Kriv AI deploys a FHIR R4 native patient engagement platform on AWS HealthLake and Bedrock in eight weeks. This system addresses federal interoperability mandates, such as the ONC Cures Act and CMS-0057-F, supporting care gap closure for IDNs, payers, and ACOs.
AWS HealthLake offers the `$bulk-member-match` operation, compliant with FHIR standards, enabling large-scale member matching. This feature allows healthcare organizations to efficiently cross-reference unique identifiers for hundreds of members across multiple systems using demographic and insurance information.
A service from EasyPA, Inc converts healthcare messages in the HL7v2 format into FHIR R4 JSON bundles in real-time. This allows organizations to modernize interoperability workflows without needing complex integration engines.
AWS announced Amazon Connect Health, an agentic AI service that autonomously performs multi-step tasks like clinical documentation and patient insights directly at the point of care. This helps clinicians reclaim time spent on administrative work for direct patient care.
AWS HealthLake allows users to check the status of previously submitted pre-authorizations through a standardized FHIR-based workflow. The `$inquire` operation, based on the Da Vinci PAS Implementation Guide, uses application details and patient information to retrieve the current authorization status.