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BPMN in healthcare: Challenges and best practices.
- Source :
-
Information Systems . Jul2022, Vol. 107, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- The design and analysis of process models is a critical factor for organizational improvement across various industries. Thanks to its potential to enable common understanding and foster automation, process modeling is increasingly adopted in the healthcare sector. However, the complexity of the healthcare domain makes process modeling a challenging task, potentially explaining the modest uptake of process modeling standards like the Business Process Model and Notation (BPMN). In this paper, we identify common challenges of process modeling in healthcare, elicited from healthcare process modeling initiatives and supported by the literature. For each challenge, we present some BPMN best practices in the form of ready-to-use process fragments that guide the standard modeling of complex healthcare aspects. Also, we report the results of a first evaluation of the use and perceived usefulness of best practices conducted with junior experts in medicine and IT. We observed that the domain-specific process fragments help to capture healthcare aspects in detail and are perceived as a source of learning, turning out to be especially useful for modelers with a basic understanding of BPMN and the healthcare domain. [Display omitted] • A structured elicitation of relevant modeling needs and challenges in healthcare processes. • The definition of a set of one or more BPMN best practices for each identified challenge in the form of ready-to-use process fragments applicable in existing BPMN modeling and execution tools. • An indicative evaluation of the influence and perception of the BPMN best practices through a modeling experiment with participants having a mixed background in medicine or IT without and with the help of the best practices. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BEST practices
*MEDICAL care
*ORGANIZATIONAL learning
Subjects
Details
- Language :
- English
- ISSN :
- 03064379
- Volume :
- 107
- Database :
- Academic Search Index
- Journal :
- Information Systems
- Publication Type :
- Academic Journal
- Accession number :
- 155962250
- Full Text :
- https://doi.org/10.1016/j.is.2022.102013