【摘要】 目的：通过聚类分析方法将广东省某公立三甲医院互联网医院的线上科室的运营数据进行分类，有效落实互联网医院精细化运营。方法：收集某医院2022年3月—5月期间挂号的45 040条有效患者就诊记录，利用R 3.6.0软件对筛选后的88个线上科室进行k-means聚类分析（k=5）。结果：根据聚类分析结果和科室具体特征，将互联网医院开展线上服务的科室分为重症复诊类科室，如肿瘤放射治疗科、神经外科；高值用药类科室，如肾移植科、肝移植科；常见疾病轻问诊类科室，如消化内科、皮肤科；慢病续方类科室，如糖尿病专科、风湿免疫科；特色专科咨询类科室，如儿科、产科、生殖专科。结论：互联网医院科室可以根据运营规律进行分类。针对科室特点，优化线上线下医疗资源配置，有所侧重地实现线上功能。同时，应持续应用互联网运营数据，为运营提供决策依据，提高互联网医院服务质量。更多还原

【Abstract】 Objective In order to effectively implement the fine operation of Internet hospitals, the operation data of online clinical departments of a large public Grade-A tertiary hospital in Guangdong Province was classified by cluster analysis method. Methods 45,040 valid patient treatment records registered in a hospital from March to May 2022 were collected, and data from 88 online departments were screenedusing R 3.6.0 software for k-means cluster analysis(k=5). Results According to the results of cluster analysis and the specific characteristics of the departments,the departments that carried out online services in the internet hospitals were divided into the following five categories:Intensive follow-ups departments, such as oncology radiotherapy department and neurosurgery department; High-cost drug departments, such as kidney transplantation department and liver transplantation department; Common diseases consultation departments, such as gastroenterology and dermatology; Chronic diseases prescription departments, such as diabetes, rheumatology and immunology department; Specialty specialized consultation departments, such as pediatrics,obstetrics, and reproductive department. Conclusion Internet hospital departments can be classified according to their operating characteristics. Based on department characteristics, the allocation of online and offline medical resources should be optimized, and an emphasis should be laid on the online functions. At the same time, the operation data of Internet hospitals should be continuously analyzed and utilized, to provide a decision-making basis for operation and improve the service quality of Internet hospitals.更多还原