Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Chile.
Internal Medicine Department, School of Medicine, Pontificia Universidad Católica de Chile, Chile.
J Biomed Inform. 2018 Feb;78:60-77. doi: 10.1016/j.jbi.2017.12.015. Epub 2017 Dec 28.
A coordinated collaboration among different healthcare professionals in Emergency Room (ER) processes is critical to promptly care for patients who arrive at the hospital in a delicate health condition, claiming for an immediate attention. The aims of this study are (i) to discover role interaction models in (ER) processes using process mining techniques; (ii) to understand how healthcare professionals are currently collaborating; and (iii) to provide useful knowledge that can help to improve ER processes.
A four step method based on process mining techniques is proposed. An ER process of a university hospital was considered as a case study, using 7160 episodes that contains specific ER episode attributes.
Insights about how healthcare professionals collaborate in the ER was discovered, including the identification of a prevalent role interaction model along the major triage categories and specific role interaction models for different diagnoses. Also, common and exceptional professional interaction models were discovered at the role level.
This study allows the discovery of role interaction models through the use of real-life clinical data and process mining techniques. Results show a useful way of providing relevant insights about how healthcare professionals collaborate, uncovering opportunities for process improvement.
在急诊室（ER）流程中，不同医疗保健专业人员之间的协调合作对于及时照顾那些身体状况脆弱、需要立即关注的来院患者至关重要。本研究旨在（i）使用流程挖掘技术发现（ER）流程中的角色交互模型；（ii）了解医疗保健专业人员当前的协作方式；（iii）提供有助于改进 ER 流程的有用知识。
提出了一种基于流程挖掘技术的四步方法。以一所大学医院的 ER 流程为例，共考虑了 7160 个病例，其中包含特定的 ER 病例属性。
发现了医疗保健专业人员在 ER 中的协作方式，包括在主要分诊类别中识别出普遍存在的角色交互模型以及针对不同诊断的特定角色交互模型。此外，还在角色级别发现了常见和特殊的专业交互模型。
本研究通过使用实际临床数据和流程挖掘技术来发现角色交互模型。结果提供了一种了解医疗保健专业人员协作方式的有用方法，揭示了改进流程的机会。
