首页|K-means++聚类并结合Elbow方法分析某医院DRG付费实施情况

K-means++聚类并结合Elbow方法分析某医院DRG付费实施情况

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目的 分析北京市某三级综合医院正式实施CHS-DRG付费 1 年的病组结算情况,为医院DRG精细化管理提供量化数据支撑.方法 使用K-means++聚类并结合Elbow方法,选取DRG组数、平均住院日、费用成本占比等作为聚类特征,分析 17 个临床科室,2022 年3 月 15 日-2023 年3 月 15日 12 634 例病例的住院服务情况.结合主成分分析方法对聚类结果进行可视化分析.结果 某三级综合医院 2022 年 3月 15 日-2023 年 3 月 15 日实际付费的 12 634 例病例总盈余 33 354 千元,占总金额 13.2%.入组 444 个DRG组,其中盈余DRG组数 314 组,亏损DRG组数 111 组.总 17 个临床科室,盈余的科室 15 个,聚类划分为 3 簇组,其中 1 簇组中收入前五位的科室为心内科、泌尿外科、骨科、普外科和肿瘤消化科贡献了 25 879 千元,这占据了总盈余额的 77.59%;同时,这五个科室DRG组数共 364 组,占全院总组数的 81.98%;病例数共 6571 例,占全院总病例数的 52.01%.3 簇组中有两个临床科室出现亏损,他们占据了总盈余的8%.结论 通过对某三级综合医院 1年DRG付费数据聚类分组,筛选出盈余与亏损科室,并对比院内重点DRG病组盈亏数据,分析得到盈余科室与亏损科室在DRG组数、平均住院日、药耗费占比、医疗费占比等的差距,提出了各簇组科室发展方向和费用结构优化建议,为提高某院精细化管理水平提供数据支撑以及改进方向.
Analysis on the Implementation of DRG Payment in a Hospital Using K-means++ Clustering Combined with the Elbow Method
Objectives This study aimed to analyze the case grouping settlement situation after a Three A and Tertiary General Hospital in Beijing which officially implemented the China Healthcare Security Diagnosis-Related Group(CHS-DRG)payment for one year,to provide quantitative data support for the detailed management of hospital DRGs.Methods Utilizing the K-means++ clustering combined with the Elbow method,the study selected cluster features such as DRG group number,average length of stay,and the proportion of cost expenses,analyzing the hospital service situation of 12,634 cases across 17 clinical departments from March 15th,2022,to March 15th,2023.Principal component analysis was used to visualize the clustering results.Results The Three A and Tertiary General Hospital actually paid a total surplus of 33,354 thousand yuan for 12 634 cases from March 15th,2022 to March 15th,2023,accounting for 13.2%of the total amount.A total of 444 DRG groups were enrolled,of which 314 were surplus DRG groups and 111 were deficit DRG groups.There were 17 clinical departments,including 15 surplus departments,which were grouped into 3 cluster groups.Among the top five departments in cluster group 1 including cardiology,urology,orthopedics,general surgery and oncology and gastroenterology contributed 25,879 thousand yuan,accounting for 77.59%of the total surplus.At the same time,there were 364 DRG groups in these five departments,accounting for 81.98%of the total number of groups in the hospital.The total number of cases was 6571,accounting for 52.01%of the total number of cases.There were losses in two clinical departments out of three clusters,which accounted for 8%of the total surplus.Conclusions By clustering and grouping the one-year DRG payment data of the Three A and Tertiary General Hospital,the surplus and deficit departments were screened out,and the profit and loss data of key DRG disease groups in the hospital were compared to analyze the differences between the surplus departments and deficit departments in the number of DRG groups,the average length of stay,the proportion of drug consumption and the proportion of medical expenses,etc.,and the development direction and cost structure optimization suggestions for each cluster group of departments were put forward.It provided data support and improvement direction for improving the fine management level of a hospital.

DRGGrouping settlementDetailed management

张剑非

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民航总医院,北京市,100123

DRG 分组结算 精细化管理

2024

中国病案
中国医院协会

中国病案

CSTPCD
影响因子:1.197
ISSN:1672-2566
年,卷(期):2024.25(4)
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