摘要
“互联网+分级诊疗”是在“互联网+医疗”背景下,以医疗服务数据平台系统为依托,设置转诊系统、信息共享系统、远程门诊系统、远程协作系统、监督管理系统的分级诊疗模式。该模式为传统分级诊疗模式排忧解难。在此背景下,本文首先基于ACSI模型的民众满意度评价指标体系,借助基于鱼群算法优化的BP神经网络模型得出评价数据,对评价结果进行全面、详尽、客观的分析,为政府部门及各级医院提供客观、科学的数据分析资料,就如何推进“互联网+分级诊疗”模式,提出一些具有推广价值的可行性经验。
“Internet + Hierarchical Diagnosis and Treatment” is a hierarchical diagnosis and treatment mode based on the medical service data platform system under the background of “Internet + medical treatment”, which sets up referral system, information sharing system, remote outpatient system, remote cooperation system and supervision and management system. This model solves problems for the traditional hierarchical diagnosis and treatment model. In this context, firstly, based on the public satisfaction evaluation index system of ACSI model, this paper obtained the evaluation data with the help of BP neural network model optimized by fish swarm algorithm, conducted a comprehensive, detailed and objective analysis of the evaluation results, and provided objective and scientific data analysis materials for government departments and hospitals at all levels. On how to promote the model of “Internet + hierarchical diagnosis and treatment”, some feasible experiences with promotion value are put forward.
出处
《计算机科学与应用》
2022年第10期2300-2306,共7页
Computer Science and Application
