Interoperability of Clinical Data through FHIR: A review

Pimenta, Nuno; Chaves, Antônio Marcos; Sousa, Regina Márcia Cardoso de; Abelha, António; Peixoto, Hugo

doi:10.1016/j.procs.2023.03.115

Cited by 9 publications

(1 citation statement)

References 15 publications

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“…One of the greatest challenges is building systems that can provide data in an interoperable manner. Health Level 7 (HL7) attempts to solve this problem with its Fast Healthcare Interoperability Resources (FHIR) standard, applied to manifold areas in medical informatics [7][8][9]. FHIR builds on the previous standards HL7 v2.x and HL7 v3.…”

Section: Introductionmentioning

confidence: 99%

A Digital Vaccination Pass Using Fast Healthcare Interoperability Resources: A Proof of Concept

Klausen,

Hartig,

Fuchs

et al. 2024

Preprint

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The traditional manual recording of vaccination records in Germany faced challenges during the COVID-19 pandemic, prompting the introduction of a Covid smartphone app with QR codes. However, this solution brought new challenges, emphasizing the need for a centrally managed European digital vaccination record for efficiency and validity. Thus, this study assesses the feasibility of using the HL7 FHIR standard in the healthcare industry for implementing a digital vaccination pass management and monitoring system. The system aims to offer convenience and improved efficiency for both patients and healthcare providers while promoting interoperability with other healthcare systems. We developed a prototype using modern technologies, such as React, Quarkus, and Keycloak, evaluating the applicability of FHIR in promoting interoperability within the healthcare industry. Results indicate potential benefits for patients and healthcare providers, offering secure access to immunization records, personalized recommendations, and streamlined management. However, challenges in integrating nuanced vaccination processes into the standardized FHIR system, necessitating custom extensions, and issues with manual data entry and identity provider integration, pose obstacles. Despite these challenges, the study suggests that implementing HL7 FHIR can enhance efficiency, data accessibility, and accuracy in the vaccination process, supporting broader digitization efforts in the German healthcare system and beyond.

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Section: Introductionmentioning

confidence: 99%

A Digital Vaccination Pass Using Fast Healthcare Interoperability Resources: A Proof of Concept

Klausen,

Hartig,

Fuchs

et al. 2024

Preprint

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A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis

Álvarez Casado,

Räsänen,

Nguyen

et al. 2024

Communications in Computer and Information Science

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In recent times, several studies have presented single-modality systems for non-contact biosignal monitoring. While these systems often yield estimations correlating with clinical-grade devices, their practicality is limited due to constraints in real-time processing, scalability, and interoperability. Moreover, these studies have seldom explored the combined use of multiple modalities or the integration of various sensors. Addressing these gaps, we introduce a distributed computing architecture designed to remotely acquire biosignals from both radars and cameras. This architecture is supported by conceptual blocks that distribute tasks across sensing, computing, data management, analysis, communication, and visualization. Emphasizing interoperability, our system leverages RESTful APIs, efficient video streaming, and standardized health-data protocols. Our framework facilitates the integration of additional sensors and improves signal analysis efficiency. While the architecture is conceptual, its feasibility has been evaluated through simulations targeting specific challenges in networked remote photoplethysmography (rPPG) systems. Additionally, we implemented a prototype to demonstrate the architectural principles in action, with modules and blocks operating in independent threads. This prototype specifically involves the analysis of biosignals using mmWave radars and RGB cameras, illustrating the potential for the architecture to be adapted into a fully distributed system for real-time biosignal processing.

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