ABSTRACT
Objective To analyze main influencing factors of hospitalization expenses by support vector machine modeling,and explore effective influence factors analysis methods of medical expenses. Methods Random selection of six hospitals in Zhejiang province.Using hospital electronic medical record system of the hospitals and selecting three kinds of typical diseases of internal medicine and surgery,to build the support vector machine model,BP neural network model,and multiple linear regression model for comparison of analysis results.The SVM model is used to analyze three various diseases.Results The support vector machine model based on radial basis kernel function scored the highest prediction accuracy on the hospitalization expenses,up to 96.07%.In a mixed analysis of different diseases,analysis results of all three models pointed the main influence factors of hospitalization expense as days of stay,disease types,and hospital coding for the surgery.In the analysis by diseases individually,the influencing factors, though varying with diseases, key factors remain the same. Conclusion The support vector machine in the influence factor analysis is feasible in hospitalization expenses.According to the analysis results,the single disease payment system can be made rationally, which can effectively control excessive growth of medical expenses.
ABSTRACT
The position competency of students majoring in health information management was assessed by inves-tigating its trainees, graduates, related staff and experts with questionnaires according to the position competency theory, based on which, the basic health information management curriculum system framework was constructed with certain suggestions put forward for it.
ABSTRACT
ObjectiveTo probe into the influence of the zero price margin for drugs on the revenue-expenditure structure at primary healthcare organizations.MethodsOne of the pilot districts experimenting with this system in Ningbo city was earmarked as the research object.Within this district,the data of their revenue,expenditure and surplus were collected from 20 primary healthcare organizations prior to and after the zero price margin for drugs was in place for classification analysis.ResultsThe percentage of service revenue among the total revenue has dropped from 68.34% before the system was in place to 65.44% after,reducing 4.24%.The percentage of drug revenue has dropped from 71.68% before to 63.57% after,reducing 11.31%.The percentage of service surplus has dropped from 15.81% before to - 23.07% after,reducing 245.94%.The total standard workload has increased 61.77%.Average medical expense per outpatient and per inpatient has reduced 32.85% and 57.18%,from 71.44yuan and 2642.08 yuan before to 48.33 yuan and 1131.28 yuan after respectively.ConclusionThe deficit rise and higher percentage of drug revenue at primary healthcare organizations deserve attention.A comprehensive reform is recommended to establish a regular government financial support mechanism,further adjust the revenue-expenditure structure,set up the system of rational drug use,and effectively reduce the medical expense of patients.