A structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes

R.J. van Kalsbeek , L.H. Grundeken , R.L. Mulder , M.M. Hudson , M.J. Ehrhardt , J.G. den Hartogh , R.J. Riezebos , H. van Tinteren , W.J.W. Kollen , M.A. Grootenhuis , R. Pieters , L.C.M. Kremer , M. van der Heiden-van der Loo
{"title":"A structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes","authors":"R.J. van Kalsbeek ,&nbsp;L.H. Grundeken ,&nbsp;R.L. Mulder ,&nbsp;M.M. Hudson ,&nbsp;M.J. Ehrhardt ,&nbsp;J.G. den Hartogh ,&nbsp;R.J. Riezebos ,&nbsp;H. van Tinteren ,&nbsp;W.J.W. Kollen ,&nbsp;M.A. Grootenhuis ,&nbsp;R. Pieters ,&nbsp;L.C.M. Kremer ,&nbsp;M. van der Heiden-van der Loo","doi":"10.1016/j.ejcped.2025.100239","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Insight into clinically relevant outcomes for children with cancer is crucial for improving treatment and follow-up strategies. The International Childhood Cancer Core Outcome Project developed a harmonized core outcome set, involving patients and providers across all types of childhood cancer.</div></div><div><h3>Objective</h3><div>This paper highlights the strategy used at the Princess Máxima Center for pediatric oncology for the collection and visualization of the International Childhood Cancer Core Outcomes.</div></div><div><h3>Project phases</h3><div>In phase 1, we created an overview of data elements related to patient data, cancer diagnosis, and outcomes, and mapped them to openEHR archetypes to optimize data processing. To classify cancer diagnosis according to the predefined 17 tumor subgroups, the International Classification of Childhood Cancer, Third Edition (ICCC-3) was used. In phase 2, we defined a data processing plan to extract these data elements from Electronic Health Records (EHR) and additional existing data sources. In phase 3, we designed a reporting dashboard to visualize results for healthcare professionals.</div></div><div><h3>Future perspectives and considerations</h3><div>Local plans include further automation of data processing, unlocking missing data sources, and adding treatment data. Having a dedicated team and using openEHR with other data (coding) standards facilitates the process and future benchmarking opportunities.</div></div><div><h3>Conclusion</h3><div>Developing a structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes is an extensive process involving multiple steps. We describe our strategy to facilitate the monitoring of improvements in quality of care in childhood cancer centers and allow future benchmarking of the quality of care.</div></div>","PeriodicalId":94314,"journal":{"name":"EJC paediatric oncology","volume":"5 ","pages":"Article 100239"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EJC paediatric oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772610X25000273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Insight into clinically relevant outcomes for children with cancer is crucial for improving treatment and follow-up strategies. The International Childhood Cancer Core Outcome Project developed a harmonized core outcome set, involving patients and providers across all types of childhood cancer.

Objective

This paper highlights the strategy used at the Princess Máxima Center for pediatric oncology for the collection and visualization of the International Childhood Cancer Core Outcomes.

Project phases

In phase 1, we created an overview of data elements related to patient data, cancer diagnosis, and outcomes, and mapped them to openEHR archetypes to optimize data processing. To classify cancer diagnosis according to the predefined 17 tumor subgroups, the International Classification of Childhood Cancer, Third Edition (ICCC-3) was used. In phase 2, we defined a data processing plan to extract these data elements from Electronic Health Records (EHR) and additional existing data sources. In phase 3, we designed a reporting dashboard to visualize results for healthcare professionals.

Future perspectives and considerations

Local plans include further automation of data processing, unlocking missing data sources, and adding treatment data. Having a dedicated team and using openEHR with other data (coding) standards facilitates the process and future benchmarking opportunities.

Conclusion

Developing a structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes is an extensive process involving multiple steps. We describe our strategy to facilitate the monitoring of improvements in quality of care in childhood cancer centers and allow future benchmarking of the quality of care.
国际儿童癌症核心结果数据收集和可视化的结构化方法
背景:了解儿童癌症的临床相关结果对于改善治疗和随访策略至关重要。国际儿童癌症核心结局项目制定了一套统一的核心结局集,涉及所有类型儿童癌症的患者和提供者。目的:本文重点介绍了Princess Máxima儿童肿瘤学中心收集和可视化国际儿童癌症核心结果的策略。项目阶段在第1阶段,我们创建了与患者数据、癌症诊断和结果相关的数据元素的概述,并将它们映射到openEHR原型以优化数据处理。根据预先定义的17个肿瘤亚组对癌症诊断进行分类,使用国际儿童癌症分类第三版(ICCC-3)。在阶段2中,我们定义了一个数据处理计划,用于从电子健康记录(EHR)和其他现有数据源中提取这些数据元素。在第3阶段,我们设计了一个报告仪表板,为医疗保健专业人员可视化结果。未来展望和考虑本地计划包括数据处理的进一步自动化,解锁缺失的数据源,以及添加治疗数据。拥有一个专门的团队,并将openEHR与其他数据(编码)标准一起使用,可以促进流程和未来的基准测试机会。为国际儿童癌症核心结果的数据收集和可视化开发结构化方法是一个涉及多个步骤的广泛过程。我们描述了我们的战略,以促进对儿童癌症中心护理质量改进的监测,并允许未来对护理质量进行基准测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.20
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信