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Decision support in medical practice: a physician's perspective,

机译:医疗实践中的决策支持:医生的观点,

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Abstract: A physician's decision support system consists of three components: (1) a comprehensive patient record and medical knowledge database, (2) information infrastructure for data storage, transfer, and (3) an analytical inference engine, accompanied by business operation database. Medical knowledge database provides the guideline for the selection of powerful clinical features or tests to be observed so that an accurate diagnosis as well as effective treatment can be quickly reached. With a tremendous amount of information stored in multiple data centers, it takes an effective information infrastructure to provide streamlined flow of information to the physician in a timely fashion. A real-time analytical inference engine mimics the physician's reasoning process. However due to incomplete, imperfect data and medical knowledge, a realistic output from this engine will be a list of options with associated confidence level, expected risk, so that the physician can make a well-informed final decision. Physicians are challenged to pursue the objective of ensuring an acceptable quality of care in an economically restrained environment. Therefore, business operation data have to be factored into the calculation of overall loss. Follow-up of diagnosis and treatment provides retrospective assessment of the accuracy and effectiveness of the existing inference engine. !22
机译:摘要:医生的决策支持系统由三个组成部分组成:(1)全面的患者记录和医学知识库,(2)数据存储,转移和(3)的信息基础架构,由业务运营数据库伴随着分析推理引擎。医学知识数据库提供了选择强大的临床特征或测试的指导,以便可以快速达到准确的诊断以及有效的治疗。通过存储在多个数据中心的巨大信息,它需要一个有效的信息基础设施,以及时为医生提供简化的信息流。实时分析推理引擎模仿医生的推理过程。然而,由于不完整的数据和医学知识,该发动机的现实输出将是具有相关置信水平,预期风险的选项列表,使医生能够做出明智的最终决定。在经济抑制的环境中,医生受到确保可接受的护理质量的挑战。因此,企业运营数据必须考虑到整体损失的计算中。诊断和治疗的后续跟踪提供了对现有推理引擎的准确性和有效性的回顾性评估。 !22

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