智能化方式平衡医疗资源,让患者快捷救治,为推进分级诊疗制度提供有力支撑.通过引入GIS技术对患者、救护车及医疗资源等对象进行动态管理和分析,嵌入早期预警评分体系(modified early warning score,MEWS),以科学的标准对患者进行分级、转诊和收治,统筹医疗机构的上下联动,使线上线下一体、转诊和救治贯通,形成高效的医疗生态闭环.本文以长沙市为例,解决GIS技术如何深度融入院前急救体系,在医疗资源管理、现场救援规划、最佳救援路径分析、呼救信息管理、突发事件处置等方面,依托救援事件的时空属性,运用信息化技术推进智能化分级诊疗制度的实现,成为推动优质医疗资源配置、平衡、优化、共享的重要举措.通过开发软件系统实现患者能利用智能手机在线呼救、现场救援、科学分诊、医院接诊等功能,保障分级诊疗的顺利实施,提高对患者的院前管理,为老百姓提供便捷、迅速和精准的紧急救援方式,全面提升诊治能力和效率.
Design and Implementation of GIS Based Mobile Intelligent Terminalfor Pre-hospital Emergency Grading and Referra
Intelligent way balances medical resources,treats patients quickly,and provides strong support for the promotion of hierarchical diagnosis andtreatment system. Through the in-troduction of GIS technology forpatients,ambulances and medical resources object dynamic management andanalysis,embedment of early warning scoring system,with scientific standards for patients classification,referral and admission,and overall medicalinstitutions,integration of online and of-fline,the efficient medicalecological closed loop forms. In Changsha city,for example,how to solve the GIS technology depth fusion pre-hospital emergency system,in the medicalre-sources management,the rescue planning,the best rescue path analysis,distress information management,emergency disposal,etc.,relying on thespace and time properties of res-cue events,using information technology topromote the real-ization of intelligent classification diagnosis system,become to promote high quality medical resources allocation,balance,op-timization,sharing the important measures. Through the de-velopment of software system,patients can make use of smart phone online call,on-siterescue,scientific triage,hospital re-ception and other functions to ensurethe smooth implementa-tion of hierarchical diagnosis and treatment,improvethe pre-hospital management of patients,provide convenient,rapid andaccurate emergency rescue for the people,and comprehen-sively improve thediagnosis and treatment capacity and effi-ciency.
intelligent terminalGISMEWSpre-hospital first aidgraded diagnosis and treatmen
NETL
NSTL
万方数据
