癌症查的FHIR标准化瘤数据模型:设计和实施研究
Manisha Mantri1, Sayali Satokar1, Pritam Tambe1
1Centre for Development of Advanced Computing (C-DAC), India, Pune, India.
JMIR cancer
|December 2, 2025
概括
本研究引入了基于快速医疗互操作性资源 (FHIR) 的瘤数据模型 (ODM),以改善癌症查和风险评估数据交换. 该模型增强了整个癌症护理连续性的互操作性,支持早期检测和管理.
科学领域:
- 医疗信息学 医疗信息学
- 在瘤学瘤学.
- 数字健康数字健康
背景情况:
- 癌症仍然是全球主要的死亡原因,需要早期检测和风险评估,以改善患者的治疗结果.
- 瘤学数据互操作性的挑战阻碍了有效的癌症治疗和癌症研究.
- 现有的数据系统难以整合各种瘤学数据,包括临床,遗传和成像信息.
研究的目的:
- 开发和验证基于快速医疗互操作性资源 (FHIR) 的瘤数据模型 (ODM),用于结构化癌症数据的捕获和交换.
- 在印度试点项目中,专注于乳腺,宫,食道,肺部和口腔癌的查和风险评估.
- 增强癌症护理各个阶段的数据互操作性.
主要方法:
- 开发了一个包含5个患者旅程阶段的ODM:遭遇,风险评估,临床调查,治疗和结果.
- 使用FHIR修订4标准,创建自定义的FHIR配置文件,并将术语映射到SNOMED CT,LOINC和ICD-10.
- 雇佣了FHIR简体 (SUSHI) 和IG Publisher来创建实施指南,然后进行技术,临床和可用性验证.
主要成果:
- 基于FHIR的ODM增强了从查到治疗的癌症护理连续性的互操作性.
- 实施指南包括25个瘤学特定的FHIR配置文件和50个标准化值集,确保语义和语法互操作性.
- 验证了FHIR符合性,术语约束性和查问卷的可用性,证明了在临床和社区环境中的实际应用.
结论:
- 基于FHIR的ODM为结构化,可互操作的癌症数据交换提供了统一的框架,这对于查和风险评估至关重要.
- 这一举措是将FHIR标准应用于印度瘤学数据的重要一步.
- 建议与国家数字健康系统进行整合,以实现一致的数据共享,并为癌症政策和精确瘤学提供信息.
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