Challenges in discovering patient journey processes
Date
2022
Authors
Hoang, T.
Grossmann, G.
Stanek, J.
Stumptner, M.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
ACM International Conference Proceeding Series, 2022, pp.216-223
Statement of Responsibility
Conference Name
Australasian Computer Science Week, ACSW 2022 (14 Feb 2022 - 17 Feb 2022 : Virtual, online)
Abstract
Research in the area of process analytics has become useful in providing new insights into patient care and support decision making. In order to reach the full potential of process analytics, we must look into further details and address challenges when applying it to real world scenarios which are often represented by complex systems. One area that has not been explored thoroughly is the ability to identify how processes relate to each other in a network of processes. Different often overlapping information about someone or something will always be kept in different domains. There is rarely a chance for these pieces of information to all link together and access them directly. Having access to the relation between processes and seeing an overall picture of network of process helps to better understanding a complex system and further analyse it to make better and informed decisions. However, attempts to link these processes into a network has led to challenges which have not been resolved yet. The contribution is a detailed use case that highlights existing challenges in discovering patient journey processes and two experimentation with preliminary results on addressing some of the identified challenges. The first experiment investigated compliance checking of clinical processes against guidelines and the second investigated the matching of event labels with an existing processable collection of health terms. The results of both experiments showed that further research and tool development is required to increase the automation for compliance checking and improve the accuracy of event and term matching
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2022 ACM