Study on the optimization of emergency medical resource allocation

• Main Authors: Mei-Ling WU, 吳美玲
• Other Authors: 陳秀珠
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/80775327703696377139

碩士 === 長榮大學 === 醫學研究所 === 96 === The health care environment changes in recent years, the hospital is towards maximization development, the medium and small scale hospital reduces gradually. It generates the gap in the emergent medical resources of medical health care service system .The health bureau tried to apply the special support program, revised the laws to enforced the emergent medical resources and protect the publics’ right of receiving emergent medical services. According the above, this research used the quantitative method to analyze the present emergent medical resource in Changhua and the problem faced. We hope to find out the optimization distribution of emergent medical resources as the reference for health bureau. Therefore, the emergent medical resource may use on the most needed and ensure publics may obtain emergent medical resources in time. The results of this research reveal, under the present emergent medical resource distribution, we suggest the first priority should focus on raising the ability of 「basic level first aid duty hospitals」 to 「middle level first aid duty hospitals」 in Hemei, Beidou, Tianzhong. Thus the publics of 26 towns in Changhua may obtain middle level emergent medical services within 7.5 kilometers. The second priority is raising up the present ability of 「middle level first aid duty hospitals 」to「Heavy level first aid duty hospitals 」in Yuanlin, Erlin. Thus they can be the locations for the treatment of critical patient. Furthermore, according to the study on real traffic time for searching emergent medical services, the duty hospitals assignment should not be limited to the present executive districts, but also need to consider about the traffic net. In the future, the model of this research may also apply to limited medical resources allocation problems, such as stroke centers, trauma centers.