摘要: |
目的 观察、分析信息智能技术运用于医院运营决策的效果。方法 以北京大学肿瘤医院运用信息智能技术运营为例,对相关指标进行比较,分析信息智能技术运用前后,医疗质量(床位使用率、平均住院天数、出院者占用总床日等)、工作量(诊疗人次数、出院人数等)、社会效益(患者满意度和职工满意度)和经济效益(总资产、净资产、业务收入、人均业务收入等)的变化。结果 信息智能技术实施后,床位使用率、出院者占用总床日均有明显提高,平均住院天数明显降低;诊疗人次数、出院人数等工作量指标和门诊和住院患者满意度、职工满意度等社会效益指标和总资产、净资产、业务收入、人均业务收入等经济效益指标均有明显提高。结论 信息智能技术在医院运营决策中能够优化就医流程、提升服务效率,提高医患满意度,并节约大量的人力物力,有效地提高管理效率。 |
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Research on the Effect of Information Intelligence Technology in Hospital Operation Decision |
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Abstract: |
Objective To observe and analyze the effects of information intelligence technology in hospital operation decision. Methods Relevant factors have been analyzed vertically before and after the application of information intelligence technology in Beijing Cancer Hospital. In this case, data should be analyzed before and after the usage of the information intelligence technology, in terms of medical quality (bed usage, average length of hospitalization, the number of cases, etc.), workloads (number of visits, number of discharged patients, etc.), social benefits (patient satisfaction and employee satisfaction), and economic benefits (total assets, net assets, fixed assets, business income, per capita business income, etc.). At the same time, version SPSS20.0 could be used in the statistical data analysis. Results After the implementation of information intelligence technology, bed occupancy rate and the number of discharged was higher than that before implementation, as well as average length of hospitalization was significantly lower than before. Secondly, the number of visits and discharged persons was much higher than those before implementation. Thirdly, total assets, net assets, business income and per capita business income were more than before implementation. Last but not least, the satisfaction rate of patients and staff after the implementation of the information intelligence technology was significantly higher than those before, and the comparison of differences had statistical significant meaning (P <0.05). Conclusion Information intelligence technology could improve medical process and service efficiency, as well as reduce medical disputes and doctor - patient contradiction in hospital operation decision–making. Moreover, the satisfaction of doctors and patients could be ameliorated, manpower and material resources could be saved significantly as well, and the management efficiency would be effectively improved |
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