一类数字化医疗信息优化决策模型的建立及其应用研究

传统的非数字化医疗决策由于研究思想、方法与应用前景的局限,已经越来越不能满足当今信息社会中医疗决策信息优化的需要,因此,如何将非数字化医疗信息空间中的信息决策深入拓广到广义医疗信息测度空间中的数字化医疗信息的最优决策,这已成为当今医疗信息决策可持续发展战略中一项亟待解决的重要问题.据此,本文充分运用了最优信息熵方法与现代统计信息优化方法,对医疗诊断中的诸多数字化复杂信息进行了深入搜索、挖掘、利用与优化研究,进而建立了一个全方位、多指标、多因素复杂客体的疾病诊断的数字化医疗信息优化决策最佳数学模型,有效地克服了传统非数字化医疗信息决策的不足,最大限度地排除了医生在诊断过程中的主观因素,减少了医疗决策的失误,增强了医疗综合决策效益,进一步提高了信息化医疗决策水平.经应用实例分析及应用单位与专家鉴定,该应用模型的诊断准确率达99.2%以上.

The Establishment of Decision Model of the Optimized Information in Digitized Medical Care and Its Application

Because of the limitation of the research methodology and application perspective,in the current information society the traditional non-digitized decision in medical care could not meet the need of the information optimization.Therefore,how to extend the non-digitized medical information into the optimized decision of the general medical information in digitized medical care has become a significant problem that is to be urgently solved on the sustainable development of the present medical information.Hereby,this paper has deeply studied lots of the digitized complex information in medical care by making full use of the optimized entropy and modern statistical information optimization theory,and then established an optimized mathematic model with multi-indexes and multi-factors of disease diagnosis.This model can effectively overcome the defect of the traditional non-digitized information decision,exclude to the largest degree t the subjective factors from doctor's diagnosis,meanwhile,eliminate the errors of medical decision,improve the overall efficiency of medical care,and further improve the level of informative medical care.According to the analysis of the applied case and the appraisement of experts,the diagnosis preciseness of this model is up to above 99.2 percent.