Enhanced Form-Based SPARQL Builder: Effortless Access to Temporal Medical Data for Users Without Technology Knowledge

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973276" target="_blank" >RIV/49777513:23520/24:43973276 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10906109" target="_blank" >https://ieeexplore.ieee.org/document/10906109</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CISP-BMEI64163.2024.10906109" target="_blank" >10.1109/CISP-BMEI64163.2024.10906109</a>

Result language

angličtina

Original language name

Enhanced Form-Based SPARQL Builder: Effortless Access to Temporal Medical Data for Users Without Technology Knowledge

Original language description

Accessing complex medical data, especially temporal information, presents a significant challenge for non-technical users, including healthcare professionals not versed in technology or query languages like SPARQL. This paper introduces an enhanced form-based SPARQL query builder that offers effortless access to temporal medical data. The described system simplifies constructing SPARQL queries into an intuitive, form-driven interface that abstracts and hides the technical complexities. Novel enhancement is primarily the user&apos;s ability to filter and order data with column constraints. By focusing on usability, the system empowers users to retrieve temporal medical information without needing in-depth knowledge of database systems or SPARQL syntax. We evaluate the system&apos;s usability and performance by testing it with non-technical healthcare professionals. Results demonstrate that users can easily navigate the interface, significantly reduce the time spent querying the database, and effectively retrieve data. This approach benefits from FAIR data principles and enhances data reusability in healthcare settings for reaching accuracy and precision for follow-up analysis in evidence-based research, facilitating better decision-making that can improve future patient outcomes.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

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

Article name in the collection

2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

ISBN

979-8-3315-0739-8

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

1-6

Publisher name

IEEE

Place of publication

Piscataway

Event location

Shangai

Event date

Oct 26, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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