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Adaptive Case Management: Overview and Research Challenges

机译:适应性案例管理:概述和研究挑战

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Case management refers to the coordination of work that is not routine and predictable, and requires human judgment. Case management has applications in many domains such as healthcare, legal, police detective, social work, etc. The common aspect of such domains is that the work procedure cannot be prescribed into machine programs, instead the work is highly variable and must be figured out by knowledge workers each time. They might start with high-level guidelines and frameworks, but the sensitive dependence upon the details of the case mean that the work patterns emerge from the case as more information becomes available. Knowledge workers must make decisions on the course of action as the case proceeds. Traditionally case management has been supported by custom-built applications for each domain. There are approaches that attempt to standardize work practices without appreciating the full range of required responses. There is a push in industry from different vendors in areas such as enterprise content management, customer relationship management and business process management also to position their products as case management applications. In this article, we will review trends in industry and selected work in academia in the case management space, to identify challenges that the industry and the research community are facing in supporting knowledge workers in an adaptive and flexible manner, where systems need to support the work while should keep the knowledge workers in control.
机译:案例管理是指工作的协调性,这种协调性不是日常性和可预测性的,需要人工判断。案例管理在医疗,法律,警察侦探,社会工作等许多领域中都有应用。这些领域的共同点是,不能将工作程序规定到机器程序中,相反,工作是高度可变的,必须弄清楚由知识工作者每次。它们可能始于高级别的指南和框架,但是对案件细节的敏感依赖意味着随着更多信息的获得,案件中会出现工作模式。随着案件的进展,知识工作者必须在行动过程中做出决定。传统上,案例管理由每个域的定制应用程序支持。有些方法试图使工作实践标准化,而又不了解所需的全部响应。来自不同供应商的行业推动在诸如企业内容管理,客户关系管理和业务流程管理等领域将其产品定位为案例管理应用程序。在本文中,我们将回顾案例管理领域的行业趋势和学术界的某些工作,以确定行业和研究界在以适应性和灵活性方式支持知识工作者的过程中所面临的挑战,其中系统需要支持在工作的同时应控制知识工作者。

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