A Decentralized Architecture for Semantic Interoperability of Personal Dental Data Based on FHIR

IF 4.1 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal on Semantic Web and Information Systems Pub Date : 2023-11-14 DOI:10.4018/ijswis.333633

Hugo Lebredo, Daniel Fernández-Álvarez, Jose Emilio Labra-Gayo

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引用次数: 0

Abstract

Several problems arise due to the differences between dentistry and general medicine. The storage of dental data in information silos, the incompatibility of data between different dental clinics or institutions from other medical areas are the most significant ones. The authors propose a decentralized architecture that combines FHIR archetypes, shape expressions, and personal online datastores (PODs) to tackle those issues as follows: FHIR archetypes are used to express the data, shape expressions are used to handle data structure and data access requests, and PODs are used to store information in a decentralized and safe manner that let the owner of the information stored to handle data access. The system allows the patient to store dental information from heterogeneous data sources transparently and respecting the patient's right to autonomy and consent. In this paper, the authors develop this architecture proposal and discuss its relevance and feasibility in the area of dental health.

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基于FHIR的个人牙科数据语义互操作的分散体系结构

由于牙科和普通医学之间的差异，出现了一些问题。其中最显著的问题是牙科数据存储在信息孤岛中，不同牙科诊所或其他医疗领域机构之间的数据不兼容。作者提出了一种结合FHIR原型、形状表达式和个人在线数据存储(pod)的分散架构，以解决以下问题:FHIR原型用于表达数据，形状表达式用于处理数据结构和数据访问请求，pod用于以分散和安全的方式存储信息，使存储信息的所有者能够处理数据访问。该系统允许患者透明地存储来自异构数据源的牙科信息，并尊重患者的自主权和同意权。在本文中，作者提出了这一架构建议，并讨论了其在牙齿健康领域的相关性和可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal on Semantic Web and Information Systems 工程技术-计算机：人工智能

CiteScore

6.20

自引率

12.50%

发文量

审稿时长

20 months

期刊介绍： The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.