EHRSummarizer：一种隐私感知、FHIR原生的源接地EHR摘要参考架构
EHRSummarizer: A Privacy-Aware, FHIR-Native Reference Architecture for Source-Grounded EHR Summarization
- MedLedger365
- MedConnect365
- Xylemed
- Kypath Associates Inc.
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
提出一种隐私感知、FHIR原生的参考架构EHRSummarizer，通过检索HL7 FHIR R4资源并约束生成源接地摘要，以支持临床病历审查。
AI中文摘要：
临床医生通常需要浏览碎片化的电子健康记录（EHR）界面，以整合患者问题、用药、近期就诊和纵向趋势的连贯图像。本文描述了EHRSummarizer，一种用于结构化EHR摘要的隐私感知、FHIR原生参考架构。该架构检索一组目标性的高收益HL7 FHIR R4资源，将其标准化为临床上下文包，并使用受约束的摘要阶段生成源接地摘要，旨在支持病历审查。该架构进一步阐明了缺失数据状态处理、用药状态模糊性、在可用时对叙述性临床文档的受控使用，以及未来的源到摘要可追溯性。本文描述的是参考架构和原型行为，而非经过验证的临床干预、自主临床决策支持系统或临床获益证据。在合成和测试FHIR环境上的原型演示展示了端到端行为和输出格式；然而，本文未报告临床结果、受控工作流研究或基准结果。我们概述了一个评估计划，重点关注忠实性、遗漏风险、时间正确性、可用性、隐私和操作监控，以指导未来的机构评估。
英文摘要：
Clinicians routinely navigate fragmented electronic health record (EHR) interfaces to assemble a coherent picture of a patient's problems, medications, recent encounters, and longitudinal trends. This manuscript describes EHRSummarizer, a privacy-aware, FHIR-native reference architecture for structured EHR summarization. The architecture retrieves a targeted set of high-yield HL7 FHIR R4 resources, normalizes them into a clinical context package, and uses a constrained summarization stage to produce source-grounded summaries intended to support chart review. The architecture further clarifies missing-data status handling, medication-status ambiguity, controlled use of narrative clinical documents when available, and future source-to-summary traceability. The manuscript describes a reference architecture and prototype behavior rather than a validated clinical intervention, autonomous clinical decision-support system, or evidence of clinical benefit. Prototype demonstrations on synthetic and test FHIR environments illustrate end-to-end behavior and output formats; however, this manuscript does not report clinical outcomes, controlled workflow studies, or benchmark results. We outline an evaluation plan centered on faithfulness, omission risk, temporal correctness, usability, privacy, and operational monitoring to guide future institutional assessment.
