A4: Isala on EHR: openEHR for secondary data use in radiotherapy.

Sophie de Klerk; William  Mensen; Heino Bosma; Lars Kuizenga; Rogier Janssen; Djoeri Lipman; Rix Groenboom

doi:10.1186/s12919-026-00367-3

Samenvatting

Abstract from EHRCON25-openEHR International Conference 2025.
The increasing demand for structured high-quality clinical data for AI and decision support systems highlights the shortcomings of current healthcare data infrastructure, particularly its misalignment with FAIR [1] data principles (Findable, Accessible, Interoperable, Reusable). In radiotherapy, clinical information is fragmented across systems, each with its own data model. This heterogeneity limits secondary data use for applications like research, business intelligence, and AI. Although existing standards like DICOM [2] provide extensive technical imaging and treatment delivery persistence capabilities, the clinical context (e.g. diagnosis, toxicity, treatment intention) is not covered. openEHR has emerged as a promising solution, offering semantic consistency through archetype-based modeling and growing interoperability with standards like OMOP and FHIR [3]. This study aimed to evaluate openEHR as a unified data platform for radiotherapy at Isala

Originele taal-2	English
Pagina's	4
Aantal pagina's	1
DOI's	https://doi.org/10.1186/s12919-026-00367-3
Status	Published - 8 apr. 2026
Evenement	EHRCON25: The openEHR International Conference - Centre de Cultura Contemporània de Barcelona, Barcelona, Spain Duur: 16 okt. 2025 → 17 okt. 2025 https://openehr.org/event/ehrcon25/

Conference

Conference	EHRCON25: The openEHR International Conference
Land/Regio	Spain
Stad	Barcelona
Periode	16/10/25 → 17/10/25
Internet adres	https://openehr.org/event/ehrcon25/

Keywords

radiotherapie
openEHR
FAIR data
data-infrastructuur
gezondheidszorg

Research Focus Areas Hanze University of Applied Sciences

Ondernemerschap
Healthy Ageing

Research Focus Areas Research Centre or Centre of Expertise

Digitale Transformatie
Data Science

Publinova thema's

ICT & Media
Techniek
Mens en Maatschappij
Gezondheid

Toegang tot document

10.1186/s12919-026-00367-3Licentie: CC BY-NC-ND

Citeer dit

@conference{38e682ef5bcd4429a6bef2e0af214c59,

title = "A4: Isala on EHR: openEHR for secondary data use in radiotherapy.",

abstract = "Abstract from EHRCON25-openEHR International Conference 2025. The increasing demand for structured high-quality clinical data for AI and decision support systems highlights the shortcomings of current healthcare data infrastructure, particularly its misalignment with FAIR [1] data principles (Findable, Accessible, Interoperable, Reusable). In radiotherapy, clinical information is fragmented across systems, each with its own data model. This heterogeneity limits secondary data use for applications like research, business intelligence, and AI. Although existing standards like DICOM [2] provide extensive technical imaging and treatment delivery persistence capabilities, the clinical context (e.g. diagnosis, toxicity, treatment intention) is not covered. openEHR has emerged as a promising solution, offering semantic consistency through archetype-based modeling and growing interoperability with standards like OMOP and FHIR [3]. This study aimed to evaluate openEHR as a unified data platform for radiotherapy at Isala",

keywords = "radiotherapie, openEHR, FAIR data, data-infrastructuur, gezondheidszorg, radiotherapy, open EHR, FAIR data, data infrastructure, healthcare",

author = "\{de Klerk\}, Sophie and William Mensen and Heino Bosma and Lars Kuizenga and Rogier Janssen and Djoeri Lipman and Rix Groenboom",

year = "2026",

month = apr,

day = "8",

doi = "10.1186/s12919-026-00367-3",

language = "English",

pages = "4",

note = "EHRCON25: The openEHR International Conference ; Conference date: 16-10-2025 Through 17-10-2025",

url = "https://openehr.org/event/ehrcon25/",

}

TY - CONF

T1 - A4: Isala on EHR: openEHR for secondary data use in radiotherapy.

AU - de Klerk, Sophie

AU - Mensen, William

AU - Bosma, Heino

AU - Kuizenga, Lars

AU - Janssen, Rogier

AU - Lipman, Djoeri

AU - Groenboom, Rix

PY - 2026/4/8

Y1 - 2026/4/8

N2 - Abstract from EHRCON25-openEHR International Conference 2025. The increasing demand for structured high-quality clinical data for AI and decision support systems highlights the shortcomings of current healthcare data infrastructure, particularly its misalignment with FAIR [1] data principles (Findable, Accessible, Interoperable, Reusable). In radiotherapy, clinical information is fragmented across systems, each with its own data model. This heterogeneity limits secondary data use for applications like research, business intelligence, and AI. Although existing standards like DICOM [2] provide extensive technical imaging and treatment delivery persistence capabilities, the clinical context (e.g. diagnosis, toxicity, treatment intention) is not covered. openEHR has emerged as a promising solution, offering semantic consistency through archetype-based modeling and growing interoperability with standards like OMOP and FHIR [3]. This study aimed to evaluate openEHR as a unified data platform for radiotherapy at Isala

AB - Abstract from EHRCON25-openEHR International Conference 2025. The increasing demand for structured high-quality clinical data for AI and decision support systems highlights the shortcomings of current healthcare data infrastructure, particularly its misalignment with FAIR [1] data principles (Findable, Accessible, Interoperable, Reusable). In radiotherapy, clinical information is fragmented across systems, each with its own data model. This heterogeneity limits secondary data use for applications like research, business intelligence, and AI. Although existing standards like DICOM [2] provide extensive technical imaging and treatment delivery persistence capabilities, the clinical context (e.g. diagnosis, toxicity, treatment intention) is not covered. openEHR has emerged as a promising solution, offering semantic consistency through archetype-based modeling and growing interoperability with standards like OMOP and FHIR [3]. This study aimed to evaluate openEHR as a unified data platform for radiotherapy at Isala

KW - radiotherapie

KW - openEHR

KW - FAIR data

KW - data-infrastructuur

KW - gezondheidszorg

KW - radiotherapy

KW - open EHR

KW - FAIR data

KW - data infrastructure

KW - healthcare

U2 - 10.1186/s12919-026-00367-3

DO - 10.1186/s12919-026-00367-3

M3 - Abstract

C2 - 41952189

SP - 4

T2 - EHRCON25: The openEHR International Conference

Y2 - 16 October 2025 through 17 October 2025

ER -