Minska väntetider för operation : Analys och förbättringsförslag med simulering

Detta är en Kandidat-uppsats från Högskolan i Skövde/Institutionen för ingenjörsvetenskap

Författare: Eric Frandsen; Fredrik Engqvist; [2020]

Nyckelord: ;

Sammanfattning: Skaraborg Hospital (SkaS) in Skövde is an emergency hospital that offers care in medical-, surgical- and psychiatric specialties. This project is based on SkaS in Skövde, where the largest volume of operations takes place. To limit the scope of the project to a more manageable level, the project was divided into two different goals, where the first goal was to include an analysis of referrals and first-time visits and the second goal to do a simulation study of the operation process.The simulation model was made in the software Facts Analyzer Beta 4 and through in-depth data collection and compilation in Excel, data could be analyzed and integrated into the simulation model. Two different what if scenarios were developed together with improvement group at SkaS in Skövde to be able to contribute with the basis for improvements. Based on the results and analyzes from unstructured interviews, study visits, meetings with the improvement group and the developed simulation model, the project will contribute with improvement suggestions to the problem of long waiting times.A theoretical study in general about simulation is included in the project and how it could be applied in health care, including the approach of a simulation study using various methods. The report also describes how simulation can contribute to the different aspects of sustainable development.The authors also wanted to include departments and the post-operative department in the simulation model, but due to lack of time, this was one of many delimitations and is something that should be reviewed in future work.The goals of the project were clarified at a higher level of abstraction and have contributed with improvement suggestions using methods and tools within the Lean concept. This would help reduce waiting times for patients and a better work environment for the staff, by using analysis and simulation.

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