Effect of Attribute Alignment on Action Sequence Variability: Evidence from Electronic Medical Records, In Business Process Management Forum: BPM Forum 2019, Vienna, Austria, September 2019.
Effect of Attribute Alignment on Action Sequence Variability: Evidence from Electronic Medical Records, In Business Process Management Forum: BPM Forum 2019, Vienna, Austria, September 2019.
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属性对齐对操作序列变异性的影响:来自电子病历的证据,业务流程管理论坛:BPM 论坛 2019,奥地利维也纳,2019 年 9 月。
DOI:
10.1007/978-3-030-26643-1_11
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Pentland, A. P.
中科院分区:
文献类型:
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作者:
Kim, I.;Pentland, B. T.;Ryan, J. L.;Xie, Y.;Frank, K.;Pentland, A. P.
Business process mining algorithms discover processes from event logs that record sequences of events or actions. Typical event logs may or may not contain information about theattributesof the actions, such as the particular workstations used to carry out an action or the identity of the person performing the action. In this paper, we test the effect of action attributes on action sequence using data from electronic medical records at five dermatology clinics. We demonstrate that action sequence is influenced by attributes such as actors (who does what) and workstations (what is done where) that are not typically considered relevant to process flow control. We introduce a new metric –attribute alignment– that summarizes the extent to which actions are carried out with the same attributes throughout a process instance. If each action is always performed with the same attributes, attribute alignment is 100%. We discuss the implications and limitations of this finding for research and practice.