The Finnish public healthcare system aims to ensure equal access to health services for all but faces challenges in meeting the demand for specialized care, such as neurosurgery, due to resource constraints. This study investigates interventions to increase resources at a neurosurgery outpatient clinic to improve patient care without compromising waiting times for diagnoses and treatments, leveraging Finland's unique healthcare landscape. The study was conducted at Kuopio University Hospital's Department of Neurosurgery, the sole provider of neurosurgical care in Eastern Finland. Two interventions were designed to optimize clinic operations: one focusing on dynamic resource allocation through continuous monitoring and the other on establishing a fixed additional neurosurgeon slot. Process capability and regression analysis were employed to evaluate the effects of these interventions on the number of outpatient visits and the variability in daily patient numbers. The preliminary analysis showed an average of 9.3 outpatient visits per day (SD 5.2). The introduction of an additional neurosurgeon led to an increase of 5.014 visits per day, according to the regression analysis performed before the interventions. Following the interventions, the clinic observed an increase in the average number of daily outpatient visits to 9.8 after the first intervention and 11.6 after the second, with corresponding improvements in the number of neurosurgeons present. The second intervention, which established a predictable additional resource, resulted in a more significant improvement in process efficiency and stability. After the interventions, the number of new neurosurgical first patient visits increased by 7% (97 patients). This study demonstrates the importance of structured and predictable resource allocation in enhancing the efficiency of specialized healthcare services, particularly in neurosurgery. It also underscores the potential of planned interventions to manage and improve patient care in a publicly funded healthcare system, despite the challenges posed by limited resources and the need for prioritization. Moreover, the findings highlight the necessity of ongoing measurement and analysis of development projects to ensure sustained improvement and avoid regression in process quality.
Read full abstract