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A concept of a generalized electronic patient record for personalized medicine

机译:个性化医疗的广义电子病历的概念

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The treatment process of tumor patients is supported by different stand-alone ePR and clinical decision support (CDS) systems. We developed a concept for the integration of a specialized ePR for head and neck tumor treatment and a DICOM-RT based CDS system for radiation therapy in order to improve the clinical workflow and therapy outcome. A communication interface for the exchange of information that is only available in the respective other system will be realized. This information can then be used for further assistance and clinical decision support functions. In the first specific scenario radiation therapy related information such as radiation dose or tumor size are transmitted from the CDS to the ePR to extend the information base. This information can then be used for the automatic creation of clinical documents or retrospective clinical trial studies. The second specific use case is the transmission of follow-up information from the ePR to the CDS system. The CDS system uses the current patient's anatomy and planned radiation dose distribution for the selection of other patients that already received radiation therapy. Afterwards, the patients are grouped according to the therapy outcome so that the physician can compare radiation parameters and therapy results for choosing the best possible therapy for the patient. In conclusion this research project shows that centralized information availability in tumor therapy is important for the improvement of the patient treatment process and the development of sophisticated decision support functions.
机译:肿瘤患者的治疗过程由不同的独立ePR和临床决策支持(CDS)系统支持。我们开发了一种用于头颈部肿瘤治疗的专用ePR和用于放射疗法的基于DICOM-RT的CDS系统的集成方案,以改善临床工作流程和治疗结果。将实现仅在相应的其他系统中可用的用于交换信息的通信接口。然后,该信息可用于进一步的协助和临床决策支持功能。在第一种特定情况下,放射治疗相关信息(例如放射剂量或肿瘤大小)从CDS传输到ePR,以扩展信息库。然后,此信息可用于自动创建临床文档或回顾性临床试验研究。第二个特定用例是将后续信息从ePR传输到CDS系统。 CDS系统使用当前患者的解剖结构和计划的放射剂量分布来选择已经接受放射治疗的其他患者。之后,根据治疗结果对患者进行分组,以便医生可以比较放射线参数和治疗结果,从而为患者选择最佳的治疗方法。总之,该研究项目表明,肿瘤治疗中的集中信息可用性对于改善患者治疗过程和开发复杂的决策支持功能非常重要。

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