Poster can be found in location 90.

Wound care in the healthcare system is associated with a growing financial burden. Hard-to-heal wounds cause pain, suffering and reduce quality of life of patients. It is estimated that around 1-3% of the healthcare budget in developed countries is spent on wound care [1]. While wound care is crucial, it has not been established as an independent specialty among medical professionals in Sweden. Consequently, the standard of care differs significantly across regions. Complications due to lack of knowledge, inefficiency and poor compliance with guidelines contribute to wound care costs [2]. To provide person-centered wound care [3] clinicians must understand the patient journey and the impact of decisions and documentation made across the care continuum. In this study, we analyzed a cohort of patient data from electronic health records (EHR) in Region Halland (n=38970) in collaboration with clinicians from the region. The cohort included patients with wounds in Region Halland between 2008 and 2021 and the aim was to improve the understanding of their pathways and journeys through the healthcare system. The analysis included sub-groups, such as patients with different types of wounds, and how the patient journeys differed across the sub-groups. The analysis utilized AI and process mining to improve the understanding of the care pathways from data. The work has highlighted the importance of local hands-on clinical expertise when interpreting patterns found in EHR-data.