急診醫療資源分配相關研究在國外正熱烈的發展，大部份的研究使用系統摸擬技術來衡量評估不同資源分配策略的組合，再從這些有限的資源分配策略得到較好的策略，而過去相關研究都致力於探討單一個案醫院醫療資源分配的處理，少見有探討平行網絡(多家網絡醫院)多目標的資源分配架構系統，為了使轉診制度及醫院間的聯繫能更有效率，幫助病患在就醫時能更快的讓醫師診治，因此本研究串聯中區某醫療體系多家醫院，針對急診轉診這部分進行整合，利用整合系統模擬搭配轉診策略與粒子群演算法(Particle Swarm Optimization, PSO)最佳化尋求醫療網絡(多家醫院)轉診最佳資源配置狀態為增加基地醫院的病床資源數到50張左右，維持網絡醫院1、2的病床資源數，能降低病患滯留時間，且維持病床使用率在60%以上，可以從容的應付轉診過來的病患，或可視情況多備置1~2張病床以因應緊急情況可避免因資源數不夠影響病人的安全及醫療品質；而建議病患轉診時間點，得到的較佳的轉診等候時間結果為20分鐘左右，不僅能保障病人安全，也能減少醫院急診壅塞情形。 The resource allocation of healthcare industry is actively research in other countries. Most studies adopt system simulation techniques to evaluate different resource allocation strategies, and then obtain better strategies from these limited resource allocation strategies. In the past, all research had been devoted to a single case hospital. Rarely, it has explored multiple goals for a healthcare network (multiple hospitals). The resource allocation architecture system is designed to help hospitals in a healthcare network to be more efficient and to help the patients get a doctor faster when they seek medical treatment. Therefore, multiple hospitals in a healthcare network system were assigned. Using the integrated system simulation with particle swarm optimization (PSO) seeks the optimal resource allocation status of the medical network (multiple hospitals). Come to the conclusion that increasing the number of beds in the base hospital to about 50 and maintaining the number of bed resources in the other two hospitals, can reduce the stay time and keep the utilization of beds at least 60%, the hospital also can take the referral patients in their stride. Or depending on the circumstances to more prepared 1 or 2 beds to cope with emergency situations. About the patient referral time, from the experiment result, we suggested the best stay time of waiting to referral is 20 minutes, can not only safeguard patients’ safety but also reduce the overcrowding situation.
