Kalite İyileştirme Açısından Görüntüleme Hizmetlerinde Süreç Analizi : Bir Şehir Hastanesi Örneği
Özet
Imaging services, which are an integral part of healthcare, play a critical role in the diagnosis and treatment of diseases. With the advancement of health technologies, the demand for imaging services is increasing. However, due to limited resources, it is essential to optimize resource utilization. This thesis aims to enhance process efficiency within the Magnetic Resonance Imaging (MRI) unit of Eskişehir City Hospital’s imaging services. Given that healthcare services require the management of complex processes, quality improvement and process enhancement efforts hold significant importance.
At the beginning of the study, a detailed analysis of the processes was conducted using quality tools such as brainstorming, fishbone diagrams, workflow diagrams, process mapping, Pareto analysis, and value stream mapping to identify waste and bottlenecks within the processes. The physical conditions of the workspace and staff movements were assessed using 5S methodology and spaghetti diagrams. To determine the current efficiency level, the sigma level was calculated, and the capacity utilization of MRI devices was analyzed. The obtained data allowed for the development of strategies aimed at optimizing the process. In this context, a new appointment model was proposed in line with the process improvement objective, aiming to reduce waiting times in patient appointment processes and enhance patient satisfaction. Furthermore, based on the findings identified through the value stream map and other tools, solutions were proposed to optimize patient flow and ensure more efficient use of resources. At the end of the study, forecasts were made regarding the potential gains from the proposed improvement activities. It was anticipated that, upon implementation, the percentage of non-value-added time in the MR process would decrease from 88.21% to 70.19%, the total cycle time would reduce from 25 days, 13 hours, and 9 minutes to 5 days, 23 hours, and 58 minutes, and the sigma level for appointment scheduling would rise from 2.5-2.6 to 4.5-4.6.
In conclusion, this thesis provides concrete proposals for improving processes in the MR unit and highlights the effectiveness of Lean and Six Sigma applications in healthcare services. The potential of the implemented model to enhance patient satisfaction and optimize resource utilization is significant for ensuring sustainable development in healthcare. This study serves as a guiding reference for similar healthcare institutions.
Imaging services, which are an integral part of healthcare, play a critical role in the diagnosis and treatment of diseases. With the advancement of health technologies, the demand for imaging services is increasing. However, due to limited resources, it is essential to optimize resource utilization. This thesis aims to enhance process efficiency within the Magnetic Resonance Imaging (MRI) unit of Eskişehir City Hospital’s imaging services. Given that healthcare services require the management of complex processes, quality improvement and process enhancement efforts hold significant importance.
At the beginning of the study, a detailed analysis of the processes was conducted using quality tools such as brainstorming, fishbone diagrams, workflow diagrams, process mapping, Pareto analysis, and value stream mapping to identify waste and bottlenecks within the processes. The physical conditions of the workspace and staff movements were assessed using 5S methodology and spaghetti diagrams. To determine the current efficiency level, the sigma level was calculated, and the capacity utilization of MRI devices was analyzed. The obtained data allowed for the development of strategies aimed at optimizing the process. In this context, a new appointment model was proposed in line with the process improvement objective, aiming to reduce waiting times in patient appointment processes and enhance patient satisfaction. Furthermore, based on the findings identified through the value stream map and other tools, solutions were proposed to optimize patient flow and ensure more efficient use of resources. At the end of the study, forecasts were made regarding the potential gains from the proposed improvement activities. It was anticipated that, upon implementation, the percentage of non-value-added time in the MR process would decrease from 88.21% to 70.19%, the total cycle time would reduce from 25 days, 13 hours, and 9 minutes to 5 days, 23 hours, and 58 minutes, and the sigma level for appointment scheduling would rise from 2.5-2.6 to 4.5-4.6.
In conclusion, this thesis provides concrete proposals for improving processes in the MR unit and highlights the effectiveness of Lean and Six Sigma applications in healthcare services. The potential of the implemented model to enhance patient satisfaction and optimize resource utilization is significant for ensuring sustainable development in healthcare. This study serves as a guiding reference for similar healthcare institutions.
