Decentralized EHRs in the Semantic Web for Better Health Data Management

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F22%3A00364234" target="_blank" >RIV/68407700:21460/22:00364234 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/22:00364234

Result on the web

<a href="https://doi.org/10.3233/SHTI220975" target="_blank" >https://doi.org/10.3233/SHTI220975</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/SHTI220975" target="_blank" >10.3233/SHTI220975</a>

Result language

angličtina

Original language name

Decentralized EHRs in the Semantic Web for Better Health Data Management

Original language description

Electronic Health Record (EHR) systems currently in use are not designed for widely interoperable longitudinal health data. Therefore, EHR data cannot be properly shared, managed and analyzed. In this article, we propose two approaches to making EHR data more comprehensive and FAIR (Findable, Accessible, Interoperable, and Reusable) and thus more useful for diagnosis and clinical research. Firstly, the data modeling based on the LinkML framework makes the data interoperability more realistic in diverse environments with various experts involved. We show the first results of how diverse health data can be integrated based on an easy-to-understand data model and without loss of available clinical knowledge. Secondly, decentralizing EHRs contributes to the higher availability of comprehensive and consistent EHR data. We propose a technology stack for decentralized EHRs and the reasons behind this proposal. Moreover, the two proposed approaches empower patients because their EHR data can become more available, understandable, and usable for them, and they can share their data according to their needs and preferences. Finally, we explore how the users of the proposed solution could be involved in the process of its validation and adoption.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Studies in Health Technology and Informatics

ISBN

9781643683485

ISSN

0926-9630

e-ISSN

—

Number of pages

6

Pages from-to

157-162

Publisher name

IOS Press

Place of publication

Oxford

Event location

Oslo

Event date

Nov 8, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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