Search results for "AWS": 45 articles
Oracle Cloud Infrastructure (OCI) proposes a hybrid architecture that separates local hospital integration from broad, enterprise-level data exchange. This approach enables modern healthcare interoperability—utilizing FHIR APIs and AI services—while allowing organizations to maintain existing system investments.
Researchers conducted a large-scale internet scan of major protocols like HL7 and FHIR used in healthcare. They found 2,841 vulnerable services due to flaws such as lack of authentication, revealing that many systems operate without proper encryption.
HiPaaSの「FHIRFlo」は、HL7やCCDAなど多様な形式の電子カルテデータやファイル（CSV, PDF等）をAIを用いて自動的にFHIR R4標準に変換します。これにより、臨床データを一元管理し、コンプライアンスを遵守したAPI経由でのセキュアなアクセスを実現することで、米国の規制対応を支援します。
This article demonstrates a method for converting scanned PDF electronic health record data into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. This pipeline extracts information from over 50 clinical fields without requiring template configuration, making historical patient data securely and massively accessible to modern clinical systems.
EasyPA offers a stateless API service that converts modern FHIR R4 data into legacy HL7v2 messages. The service uses AI assistance to rapidly generate mapping templates, significantly shortening the time required for developing integrations for downstream systems.
This article introduces services for developing scalable, HIPAA-compliant healthcare platforms. It emphasizes that enterprise system construction provides support for HL7/FHIR standards, integration with EHR systems like Epic, and advanced data security and compliance.
Zintech offers cloud and AI support services utilizing the AWS FHIR API. The company deploys extensive technical capabilities to support infrastructure modernization and advanced data processing in the healthcare sector.
Electronic Medical Record (EMR) systems face challenges handling the complex data required by generative AI. The article outlines two strategic approaches from AWS to solve issues like data fragmentation and vendor lock-in, enabling true clinical intelligence extraction and advanced healthcare delivery.
TGI傘下のAxina Groupは、AI駆動型の医療プラットフォーム「AX-Healthcare」を発表しました。これは、国家レベルでの医療データを管理し、「物流としての人的資源」という課題に取り組むことを目的としています。
This article addresses the challenge that building a FHIR API typically takes four to six months. It explains how making appropriate architectural decisions early can drastically reduce this timeline, emphasizing minimum resource set definition and managed server selection.
Adopting FHIR-based integration patterns helps healthcare providers streamline data exchange, aiming to improve the accuracy of diagnosis and treatment plans. This strengthens connectivity between electronic health record systems and modern digital platforms, contributing to reduced risk of medical errors.
Edenlab provides comprehensive analytics consulting services for the healthcare industry, acting as a true technology partner beyond simple dashboards. They cover the entire data lifecycle, from raw data ingestion to AI-powered insights, with a focus on achieving interoperability based on FHIR standards.
AI healthcare company Genosis has begun developing the 'Human Digital Twin' utilizing Amazon Web Services (AWS) cloud infrastructure. This platform aims to integrate and analyze everything from an individual's genetic data to daily biometric information, thereby predicting the risk of chronic diseases like cancer or diabetes in advance and realizing personalized preventive medicine.
This document is a technical reference detailing the `FHIRServer` class within the AWS SDK for C++'s ConnectHealth model. This class manages server connection settings based on the Fast Healthcare Interoperability Resources (FHIR) standard, facilitating access to patient data.
This article technically explains how to search for FHIR Subscriptions resources within AWS HealthLake. Developers can search subscriptions and topics using not only standard parameters but also detailed custom parameters such as `contact`, `criteria`, `payload`, `status`, `type`, `url`, `filter-criteria`, `custom-channel`, `payload-type`, and `topic`.
Synthetic EHR offers a platform that accelerates healthcare innovation through strategic partnerships and developer ecosystem collaboration, built on privacy-first principles. By utilizing FHIR-native synthetic data, it removes regulatory barriers and achieves seamless integration via an API-first approach.
AWS HealthLake allows users to efficiently import FHIR data stored in Amazon S3, making it available for analysis. The service supports setting various validation levels (strict, structure-only, minimal) to ensure data integrity during the process.
AWS HealthLake utilizes the FHIR Bundle structure for handling resources. This feature distinguishes between two processing modes: 'Batch' mode, which processes independent data groups, and 'Transaction' mode, ensuring all operations succeed or fail together.
This article introduces cloud healthcare services from AWS and Google Cloud Platform (GCP), explaining the data processing workflow using standards like FHIR. It demonstrates the potential for AI-driven clinical decision support through structuring and analyzing electronic health records.
CData has released a connector that enables live access and direct querying of FHIR data within Tableau. This allows users to visualize and analyze FHIR data without complex setup.