医院集团分布式资源分配的分级诊疗技术研究

Hierarchical Diagnosis Technology in Hospital Group Based on Distributed Resources Allocation

【目的】为了实现三级甲等医院资源优化分配,改善医院目前存在的资源分配问题,采用远程会诊、远程检查、预约挂号、远程培训/考试等模块,提出一种信息化技术设计方法。【方法】首先,对数据库中已诊疗的病人数据进行分析,包括病人性别、年龄、所接受检查项目,根据不同指标优化获得最优权数。其次,对已诊疗的病人诊断及手术方案特征加以描述、分类,用数据指标表示。再次,采用人工学习把当前病人各项检查数据与已诊疗病人在数据库中的数据进行比较,根据病人身体各项数据权值,结合各项检查数据,带入一定数学描述函数,得出当前病人诊断及手术方案。最后,对该诊断及手术方案所需医生和设备给以定量描述,把病人诊断及手术方案通过数学描述转换成医生和设备需要量描述。【结果】根据上述优化方法,设计出相应信息化管理软件,在相关医院科室中已为医生诊疗提出一定的参考建议,对医院设备使用进行优化分配。【结论】经临床验证,该方法有利于提高医院资源分配效率以及看病效率,节约看病成本,在后续研究中将考虑提高系统精度和稳定性,对系统进行再优化。

[Purposes]In order to optimally allocate tertiary hospital resources and resolve the related problems existed for the moment,an information technology design approach is addressed by adopting remote consultation,remote inspection,appointment registration,and remote training or examinations.[Methods]Firstly,analyze the patients＇ data stored within the hospital data base,especially those diagnosis ones,including gender,age,and the conducted examinations,then optimize the weights depending upon the different indicators.With data indexes method,secondly,represent and classify the characteristics of the related diagnosis and surgical program on these patients diagnosed and treated by physicians.By using artificial learning,thirdly,compare the current patient＇s physical examination data with all the ones stored within the data base,and represent it with mathematical functions according to the different weights and the examination data.Thus,the diagnosis and surgical program comes out.Lastly,quantitatively describe the amount of physicians and equipment needed,and mathematically convert the diagnosis and surgical program on the current patient into the amount of physicians and equipment.[Findings]The information management system is designed on the basis of the optimized algorithm presented above.It may offer some useful suggestions for the related doctors from different departments,and contribute to optimizing the resources accordingly.[Conclusions]Clinic verification proves that the method can allocate medical resources,enhance their efficiency,and save the cost accordingly.Further study will focus on enhancing stability and accuracy of the system in order to get a perfect optimization.