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Temporal mediation of relational databases for clinical decision support.

机译:关系数据库的时间中介,以提供临床决策支持。

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摘要

Many health-care institutions would like to bring applicable clinical guidelines to the attention of providers via decision-support programs that examine patient data. Since the planning of medical therapies is highly time dependent, an essential step in predicating protocol-based advice is the detection of temporal conditions in a clinical database. A significant barrier to the task of integrating a decision-support application with a clinical database is the temporal model heterogeneity that exists between them. Current database methods cannot undertake the temporal-mismatch resolution and temporal-pattern matching that are necessary to resolve temporal model heterogeneity. Previous methods to overcome these limitations for relational databases have been neither general nor reusable for the task of temporal integration in protocol-based decision-support architectures.; In this dissertation, I present a novel method for temporal integration—which I call temporal mediation. This method consists of three parts: (1) a foundational model of time, (2) a temporal relational algebra, and (3) a software system. The model of time is based on a timeline representation that uses time-unit functions to map temporal values from one time-unit level to another and that uses temporal operations to match temporal patterns. I have incorporated the semantics of the model of time into a temporal relational algebra, which consists of a multisorted and a unisorted set of operators. The multisorted set applies the time-unit functions to heterogeneous data to transform them into a uniform interval-stamped representation at a single time-unit level. The unisorted set applies the temporal operations to verify temporal conditions among the uniform temporal data that result from the former set. I have implemented both sets of operators into the data-processing algorithm of a software module for temporal integration, which I call S YNCHRONUS.; I have undertaken a two-part process that formally evaluates the reusability of the temporal-integration module. I show that SYNCHRONUS satisfies the integration requirements within a test decision-support architecture, and I then demonstrate the transferability of the mediator to another existing software architecture. These results confirm the hypothesis that the temporal-mediation method can be reusable for the task of temporal integration among protocol-based applications and their relational data sources.
机译:许多医疗机构希望通过检查患者数据的决策支持程序,将适用的临床指南提请医护人员注意。由于药物治疗的计划高度依赖时间,因此预测基于协议的建议的必要步骤是在临床数据库中检测时间状况。将决策支持应用程序与临床数据库集成在一起的任务的主要障碍是它们之间存在的时间模型异质性。当前的数据库方法无法进行解决时间模型异质性所需的时间不匹配分辨率和时间模式匹配。克服关系数据库这些限制的先前方法对于基于协议的决策支持体系结构中的时间集成任务既不通用,也不可重复使用。在这篇论文中,我提出了一种新的时间整合方法,我称之为时间中介。该方法包括三个部分:(1)时间的基础模型,(2)时间关系代数和(3)软件系统。时间模型基于时间轴表示,该时间轴表示使用时间单位功能将时间值从一个时间单位级别映射到另一个时间单位级别,并使用时间操作来匹配时间模式。我已经将时间模型的语义合并到了时间关系代数中,该代数由多分类运算符和单分类运算符组成。多分类集合将时间单位函数应用于异构数据,以将其转换为单个时间单位级别的统一间隔时间戳表示。单分类集合应用时间操作以验证由前一个集合产生的统一时间数据中的时间条件。我已经将两组运算符都实现到用于时间集成的软件模块的数据处理算法中,该算法称为S YNCHRONUS 。我进行了一个分为两部分的过程,正式评估了时间集成模块的可重用性。我证明S YNCHRONUS 满足测试决策支持体系结构中的集成要求,然后演示了中介程序到其他现有软件体系结构的可移植性。这些结果证实了以下假设,即时间中介方法可用于基于协议的应用程序及其关系数据源之间的时间集成任务。

著录项

  • 作者

    Das, Amarendra Kumar.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Computer Science.; Health Sciences Medicine and Surgery.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 235 p.
  • 总页数 235
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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