Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application.
J Healthc Inform Res
; 8(3): 523-554, 2024 Sep.
Article
en En
| MEDLINE
| ID: mdl-39131100
ABSTRACT
Abstract Most process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result, process mining techniques function like black boxes with limited interaction options for analysts, such as simple sliders for filtering infrequent behavior. Recent research tries to break these black boxes by allowing process analysts to provide domain knowledge and guidance to process mining techniques, i.e., hybrid intelligence. Especially, in process discovery-a critical type of process mining-interactive approaches emerged. However, little research has investigated the practical application of such interactive approaches. This paper presents a case study focusing on using incremental and interactive process discovery techniques in the healthcare domain. Though healthcare presents unique challenges, such as high process execution variability and poor data quality, our case study demonstrates that an interactive process mining approach can effectively address these challenges.
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Base de datos:
MEDLINE
Idioma:
En
Revista:
J Healthc Inform Res
Año:
2024
Tipo del documento:
Article
País de afiliación:
Alemania