This study aimed to map the actual care pathways for pediatric and adult palliative care (PC) patients at a hospital in the Region of Murcia (Spain) utilizing Process Mining (PM) techniques. The goal was to identify inefficiencies and areas for improvement in providing comprehensive and coordinated care to enhance patient outcomes.

A retrospective review of anonymized clinical records was conducted, covering data from 2002 to 2021 for adult patients and from 2001 to 2021 for pediatric patients. The final dataset for adults comprised records from 85 patients and 2,696 episodes, and, for pediatric patients, the dataset included 57 individuals with 1,912 episodes. PM techniques (concretely, PMApp) facilitated the visualization and evaluation of actual care pathways, compared to theoretical models, highlighting bottlenecks and variabilities.

The analysis revealed distinct care pathways for adult and pediatric patients. Pediatric pathways showed inconsistencies with theoretical models due to variability in diseases and care needs, while adult pathways aligned better with expectations. Key inefficiencies included delays in shifting to home care and multiple visits to the hospital Emergency Department before referral to specialized teams. Simplified process models provided clearer insights into frequent care pathways and highlighted critical transition points, supporting optimization strategies.

The findings underscore the utility of PM in enhancing care pathway transparency, identifying inefficiencies, and supporting data-driven process redesign. The study advocates for updating theoretical models and adopting structured data collection to reduce variability and improve PC delivery. These measures are critical for achieving consistent, patient-centered care across diverse healthcare settings.