This study aimed to establish methodologies for effective healthcare data utilization, addressing technical and systemic challenges associated with FHIR adoption. By referencing USCDI, the research proposed multi-faceted approaches, including resolving discrepancies between diagnostic and insurance diagnoses, and integrating standards (Standard) with AI.
The US federal government is mandating the use of FHIR through multiple regulations (such as the Cures Act) starting in 2026. These mandates require patient access APIs and data exchange, necessitating large-scale system overhauls and compliance efforts from healthcare organizations and IT vendors.
Multiple regulations regarding Medicare Advantage (MA) and healthcare data exchange have been announced in the US. Specifically, the implementation of four critical FHIR APIs is required by 2027, indicating progress in data standardization and security enhancement.
EthAum Venture Partners held its latest 'Healthcare Innovation Days,' evaluating nine startups tackling global health challenges. These companies faced rigorous scrutiny from 13 major decision-makers, including medtech giants and national government bodies, proving their technological capability and market viability.
In the US, institutions like CMS and ONC are building interoperability using a dual approach: establishing national trust (TEFCA) alongside an API-centric exchange structure (FHIR). This allows patients single sign-on access to all data and integrates AI for clinical efficiency.
Electronic Health Record (EHR) systems are foundational to modern healthcare but face challenges like poor interoperability, data security risks, and poor usability due to complex environments and evolving standards. The article identifies these key issues and proposes solutions such as improving API design and adopting user-centered design approaches.
TEHIK has released an implementation guide for 'Electronic Health Declarations' based on the FHIR standard, version 1.0.0. This guide provides detailed mapping information between specific extensions and resources, aiming to enhance data exchange structure and interoperability.
CMS published an API architecture for the ACCESS Model, which includes four FHIR operations ($check-eligibility, $align, $report-data, $unalign) to track care episode lifecycles. The author argues that while the technical design is sound, the true challenge lies not in the APIs themselves but in establishing necessary partnership structures.
Healthcare institutions can eliminate data silos and improve clinical visibility by connecting medical devices with EHRs and analytics platforms. This integration, utilizing standards like HL7 and FHIR, prevents manual entry errors and forms the foundation for AI-driven predictive healthcare systems.
Led by the IDB and PAHO, and supported by Japan, the Pan-American Digital Health Route (PH4H) is an initiative aiming to build interoperable infrastructure for secure clinical data sharing across Latin American and Caribbean countries.
Firely has published a list of endpoints for its servers, which conform to specific standards. This information is crucial for developers and system administrators utilizing APIs for patient and population services.
SMART on FHIR is crucial for securely integrating healthcare applications with EHR systems, but its implementation is complex. This article explains how using Descope simplifies the process by handling user authentication and consent management, allowing developers to focus on building FHIR apps.
SMART on FHIR is an open standard framework embedded within Electronic Health Record (EHR) systems, enabling third-party applications to access patient data securely and in a standardized way. This approach moves beyond complex, vendor-specific integrations, accelerating development and deployment across healthcare IT.
The healthcare industry is adopting 'Bulk FHIR' as a method to analyze clinical data efficiently and at scale. This allows providers and payers to extract vast datasets, stream them into analytics platforms, thereby enhancing population-level analysis and interoperability.
This API provides a FHIR-compliant service for handling patient data consent forms, patient registration information, and third-party integrations. It utilizes REST architecture and requires OAuth2 for authentication.
This page addresses information regarding the interoperability of healthcare information systems (HIS) in Guatemala. Specifically, the focus is on data linkage using standards such as HL7 and FHIR, and the utilization of an Enterprise Service Bus (ESB).