DataWeaver: An Interface to Complex Clinical Data

DataWeaver：复杂临床数据的接口

• 批准号: 6993403
• 负责人: ALLEN Y. TIEN
• 金额: $ 12.92万
• 依托单位: MEDICAL DECISION LOGIC, INC.
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2007-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6993403
• 关键词: child health care personnel; clinical research; computer assisted medical decision making; computer system design /evaluation; focus groups; health care quality; human data; human subject; pediatrics; physicians; questionnaires; sickle cell anemia

DESCRIPTION (provided by applicant): Pediatricians routinely need to make rapid decisions based on large amounts of complex and potentially unreliable data. However, this decision-making process has proved difficult to emulate, or even to support, using software systems. An important feature existing systems lack is a user interface allowing pediatricians to quickly and effectively understand and make use of complex interrelated and time dependent data. This proposal seeks to address this deficiency by using an innovative and patented graphical user interface methodology called "DataWeaver." The basis of the DataWeaver display is a hierarchical structure called a "weave" showing intersections of different types and pieces of data in a readily comprehensible way. The DataWeaver methodology is designed to provide the pediatrician with a complete view of the patient's overall status while supporting rapid access to the underlying detailed information, thus saving clinicians time and increasing the quality of care. Despite the attractiveness of the DataWeaver methodology, it has neither been implemented nor field tested. One reason is that mapping the human-oriented DataWeaver interface to the underlying database and to other components has until recently been deemed infeasible. However, recent advances in software engineering make constructing these mappings currently feasible. Specifically, by using model-driven architecture (MDA) methods to specify various components, such as data sources, decision support rules, and graphical components via an abstract model. This in turn allows much of the system's code to be automatically generated instead of needing to be hand-written, greatly reducing coding time and increasing code reliability. Because of the broad scope and complexity of the field of pediatrics, and because of strong interest from the Pediatrics Department at Johns Hopkins University, sickle cell disease content has been chosen for Phase I testing.

描述（由申请人提供）： 儿科医生通常需要根据大量复杂且可能不可靠的数据快速做出决策。然而，事实证明，使用软件系统很难模拟甚至支持这种决策过程。现有系统缺乏的一个重要功能是用户界面，使儿科医生能够快速有效地理解和利用复杂的相互关联和时间相关的数据。该提案旨在通过使用一种名为“DataWeaver”的创新型专利图形用户界面方法来解决这一缺陷。 DataWeaver 显示的基础是一种称为“编织”的分层结构，以易于理解的方式显示不同类型和数据片段的交叉点。 DataWeaver 方法旨在为儿科医生提供患者整体状况的完整视图，同时支持快速访问底层详细信息，从而节省临床医生的时间并提高护理质量。尽管 DataWeaver 方法很有吸引力，但它既没有被实施也没有经过现场测试。原因之一是，将面向人的 DataWeaver 接口映射到底层数据库和其他组件直到最近还被认为是不可行的。然而，软件工程的最新进展使得构建这些映射目前变得可行。具体来说，通过使用模型驱动架构（MDA）方法通过抽象模型来指定各种组件，例如数据源、决策支持规则和图形组件。这反过来又允许自动生成系统的大部分代码，而不需要手动编写，从而大大减少编码时间并提高代码可靠性。由于儿科领域的广泛范围和复杂性，并且由于约翰霍普金斯大学儿科部门的强烈兴趣，镰状细胞病内容已被选择用于第一阶段测试。