Search results for "Epic": 46 articles
Vysio has developed an end-to-end platform that acquires data from wearable hemodynamic monitors via a BLE gateway, standardizes it using FHIR R4, and integrates it into hospital EMRs using standards like HL7v2. This enables the automatic linkage of real-time vital sign information to multiple major EMR systems.
SMART on FHIRは、FHIRを基盤とし、アプリケーションが電子カルテ（EHR）内で安全に起動するためのプラットフォーム層である。OAuth2やOpenID Connectに基づく認証プロファイル、および現在の患者情報からアプリアクセスを開始できるコンテキストを提供し、サードパーティ機能の組み込みを可能にする。
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 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.
Fire Arrow provides a backend for centralizing and managing data from various sources, including EHRs and legacy systems, through the FHIR standard. This enables diverse data utilization cases such as AI agents and remote patient monitoring.
HDIM connects to existing Electronic Health Record (EHR) systems, evaluating FHIR resources and CQL measures to provide high-quality intelligence necessary for clinical workflows. This enables care gap detection and risk stratification.
This article compares eight telemedicine app development companies, evaluating them not just on technical capability but also on real-world operational experience and regulatory compliance. Key elements highlighted include WebRTC video capabilities, HL7/FHIR integration, and adherence to HIPAA standards.
A query parameter (passBack) required by Service Providers like Epic MyChart is dropped during the Azure B2C SAML Single Logout (SLO) round-trip. This breaks the subsequent OAuth redirect necessary after patient consent within a SMART-on-FHIR standalone patient launch flow.
LangCare has released the specification for an FHIR server implementation (`langcare-mcp-fhir`) designed for Electronic Medical Record (EMR) systems like Epic and Cerner. The version 2.0.4 schema defines the structure of this Model Context Protocol (MCP) FHIR server, written in Go.
The article highlights the limitations of generic, off-the-shelf AI systems that fail within real clinical environments (like Epic). It emphasizes that custom development is crucial for meeting compliance requirements and deep EHR integration.
Although the Electronic Medical Record (KIS) market continues to grow, many hospitals are delaying decisions. They are no longer seeking traditional stand-alone software but rather cloud-capable platforms that integrate interoperability, AI, and replacement for legacy systems.
At the major health conference HIMSS26, healthcare digital transformation (DX) is shifting from mere technology display to a phase of 'large-scale deployment.' Artificial Intelligence (AI), interoperability, and cybersecurity are highlighted as essential requirements for system implementation.
Agentic AI refers to systems that autonomously take action toward a goal, going beyond simple question answering. To realize this advanced capability, standardized data access and mechanisms for action provided by FHIR are essential.
This system helps healthcare professionals efficiently access and interpret patient data scattered across multiple clinical systems, such as Snowflake databases and Epic FHIR. Using natural language queries, the AI retrieves, analyzes, and compiles the results into a comprehensive report.
Complex Event Processing (CEP) platforms analyze streaming data from sources like EHRs and wearables to detect critical patterns such as patient deterioration or medication non-adherence. This enables predictive care and resource optimization within hospitals and smart healthcare ecosystems.
This article outlines the criteria healthcare leaders must evaluate when selecting a suitable implementation partner based on the FHIR standard, which is the backbone of modern healthcare interoperability. It emphasizes that comprehensive perspectives are needed, including technical capabilities, EHR integration experience, resource modeling, and security design.
This article explains how utilizing HL7 FHIR (Fast Healthcare Interoperability Resources) enables the safe, consistent, and real-time exchange of clinical data. FHIR facilitates seamless integration across diverse healthcare services such as EHRs and telehealth systems, contributing to more efficient and connected care.
EndpointHealth offers secure, context-aware messaging and FHIR-native workflows to streamline clinical communication. By integrating with patient/provider registries and EHRs, the solution enables advanced searching and data referencing based on accurate information.
This article provides guidance on applying the FHIR standard to specific use cases, such as eCTD v4.0 and Veeva CRM/Epic EHR integration. It details solutions for international regulatory requirements and technical challenges in areas like pharmaceutical labeling (e-labeling) and clinical research data (eSource/ePRO).
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.