Enhancing quality and decision-making for care pathways: An application of process mining in cancer care
Francesca Ferré, Chiara Seghieri, Sima Sarv Ahrabi, Andrea Burattin, Andrea Vandin
TL;DR
This paper uses process mining to analyze breast cancer care pathways in Italian hospitals, revealing inefficiencies and variations from recommended guidelines.
Contribution
The study demonstrates how process mining can uncover real-world care pathway deviations and inefficiencies in cancer care.
Findings
Variations in breast cancer care management were identified across different healthcare providers.
Diagnostic phase delays and service duplication were common inefficiencies.
Differences in diagnostic exams and visits led to variations in healthcare costs.
Abstract
Care pathways are widely used as evidence-based clinical governance tools to enhance the quality of care of groups of patients with a specific clinical problem and optimize the use of resources. However, it is often the case that there are differences between the recommended care pathway and the actual clinical practice. Recently, Process Mining (PM) techniques, a family of data-driven techniques from computer science that uses logs (execution traces) of a system to reason about its underlying process, have been applied in the healthcare context to map and analyze real-world practice patterns. In particular, PM helps to discover and analyze the sequence of activities, to highlight variances and possible sub-optimal management of the clinical paths in order to improve care quality and reduce the inefficient allocation of resources. Using the breast cancer pathway as a case study example,…
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Clinical practice guidelines implementation · Bayesian Modeling and Causal Inference