ABSTRACT
The application of artificial intelligence in the field of primary health care can effectively improve diagnosis and treatment,avoid over-examination and over-medication,and make up for the shortage of high-quality medical resources in primary medical and health institutions.Focusing on the application of artificial intelligence in the field of primary health care,this paper analyzes the existing application modes and typical cases,studies its main stakeholders,interest demands and problems,and provides corresponding suggestions.
Subject(s)
Artificial Intelligence , Primary Health CareABSTRACT
Objective To establish a general health information construction effect evaluation model for overall as-sessment of health information construction effect .Methods Domestic and foreign health information construction effect evaluation models were systematically analyzed by bibliometric analysis , comparative analysis , inductive and deductive method,repectively.The classic health information construction effect models were integrated.Results The health information construction effect evaluation model was established from the technique-organization man-agement-operation supportangle .Conclusion Thehealth information construction effects include technique effect, organization mangement effect, and operation effect.Thegeneral health information construction effect evaluation model is established, which includes 7 primary indexes and 20 secondaey indexes.
ABSTRACT
<p><b>BACKGROUND</b>The New Rural Cooperative Medical Scheme (NCMS) has been further adjusted and optimized to reduce the financial burden of rural residents and to achieve universal coverage for them. In this study, we aimed to explore the impact of NCMS on medical service utilization and medical expense of inpatients in recent years.</p><p><b>METHODS</b>The research data of Hainan Province were extracted from the Chinese NCMS platform from 2012 to 2014. Detailed information included total expenditure, average inpatients costs, average out-of-pocket payments, actual reimbursement rate, and average annual growth rate of the above indicators. Descriptive analysis was used to gauge the effects of NCMS.</p><p><b>RESULTS</b>In the utilization of medical services, NCMS inpatients in tertiary hospital decreased from 25.49% in 2012 to 20.39% in 2014, inpatients in county hospitals increased from 39.49% to 55.92%, simultaneously. The total expenditure in county hospitals rose steadily from 28.46% to 46.66%, meanwhile, the total expenditure in tertiary hospitals fell from 60.44% to 44.51%.The average out-of-pocket costs of rural inpatients remained stable over the years. Furthermore, the compensation fund of NCMS inpatients grew significantly. The actual inpatient reimbursement rate at township health centers increased from 76.93% to 84.04%. Meanwhile, the rate at county hospitals and tertiary hospitals increased slightly from 59.37% and 46.10% to 61.25% and 47.71%, respectively.</p><p><b>CONCLUSIONS</b>With the improvement of the reimbursement ability, especially after the new health care reform in 2009, the NCMS have been playing a prominent role in alleviating the economic burden of farmers' medical treatment. Meanwhile, more patients go to primary hospitals than tertiary hospitals, and the capability of primary hospitals has been greatly improved.</p>