Generic data modeling for clinical repositories
Generic data modeling for clinical repositories
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DOI：
10.1136/jamia.1996.97035024
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发表时间：
1996-09-01
影响因子：
6.4
通讯作者：
Johnson, SB
中科院分区：
文献类型：
--
作者：
Johnson, SB
目的：为了构建一个大规模的临床知识库，准确地捕捉一个详细的了解数据的过程中至关重要的医疗保健，并提供了高效的访问病人的信息为用户的临床信息system.Design：传统的方法来数据建模鼓励开发一个高度具体的数据模式，以捕捉尽可能多的信息，尽可能关于一个给定的域。相比之下，当使用通用数据模式时，当前数据库技术对于临床数据库最有效地起作用。“通用数据建模”的技术是作为一种方法，调和这些对立的意见，临床data.Results，使用正式的操作转换成一个通用的详细schema的方法：一个复杂的模式，由数百个实体和代表一组丰富的约束病人护理域转换成一个通用的模式，由大约二十几个表。由此产生的数据库设计是高效的面向患者的查询，是高度灵活的，以适应不断变化的信息需求的医疗机构，特别是涉及收集新的数据元素的变化。结论：传统的方法，数据建模可以用来开发丰富的，复杂的模型，临床数据是有用的理解和管理的过程中的病人护理。通用数据建模技术可以成功地将一个详细的设计转换成一个有效的通用设计，是灵活的，足以满足业务的临床信息系统的需求。
Objective: To construct a large-scale clinical repository that accurately captures a detailed understanding of the data vital to the process of health care and that provides highly efficient access to patient information for the users of a clinical information system.Design: Conventional approaches to data modeling encourage the development of a highly specific data schema in order to capture as much information as possible about a given domain. In contrast, current database technology functions most effectively for clinical databases when a generic data schema is used. The technique of ''generic data modeling'' is presented as a method of reconciling these opposing views of clinical data, using formal operations to transform a detailed schema into a generic one.Results: A complex schema consisting of hundreds of entities and representing a rich set of constraints about the patient care domain is transformed into a generic schema consisting of roughly two dozen tables. The resulting database design is efficient for patient-oriented queries and is highly flexible in adapting to the changing information needs of a health care institution, particularly changes involving the collection of new data elements.Conclusion: Conventional approaches to data modeling can be used to develop rich, complex models of clinical data that are useful for understanding and managing the process of patient care. Generic data modeling techniques can successfully transform a detailed design into an efficient generic design that is flexible enough to meet the needs of an operational clinical information system.