首页|基于病种细分与精准预约的门诊服务优化研究与实践

基于病种细分与精准预约的门诊服务优化研究与实践

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目的 打破原有传统单一粗放式预约模式,建立基于病种细分的精准预约,帮助患者精准匹配到合适的医生,让群众"看好病".方法 建立统一号源管理外联平台,引入号源细分、病种预分、多层诊疗、云端多学科联合会诊等全新概念,实现全新预约方式.结果 新预约方式将号源资源进行分类、分层管理,平均退号率为19.55%、平均预约取消率为3.56%,低于传统预约方式同期值,人均门诊耗时1.62小时,低于上年度值,领衔专家平均转诊率20%,实现了号源细分、错峰就诊,避免了医疗服务资源的浪费.结论 基于病种细分与精准预约挂号的门诊服务优化,通过按病种细分的预约管理,全方位满足不同病种患者的个性化诊疗需求,可以促进分级诊疗的进一步发展.
Research and Practice of Outpatient Service Optimization Based on Disease Segmentation and Precise Appointment
Purpose Break up the traditional and original single and extensive appointment mode,establish accurate appointment based on disease segmentation,to help patients accurately match the right doctors,so that the public can be"more optimistic about the disease".Methods Establish a unified number source management outsourcing platform,and introduce new concepts such as number source segmentation,disease pre-classification,multi-layer diagnosis and treatment,and cloud MDT to realize new appointment methods.Results The new reservation method includes resources by classification and hierarchical management.After implemented,the average return rate is 19.55%,the average appointment cancellation rate of 3.56%,all lower than the traditional way during the same period.Outpatient per capita 1.62 hours lower than the previous year value,the leading experts average referral rate of 20%that implemented the source segmentation and avoided the waste of medical service resources.Conclusion The outpatient service optimization based on disease segmentation and precise appointment registration,and through the appointment management by disease segmentation,can comprehensively meet the personalized diagnosis and treatment needs of patients with different diseases,which can promote the further development of hierarchical diagnosis and treatment.

disease segmentationaccurate reservationappointment managementmicro-service frameworkhierarchical diagnosis and treatment

肖连禹、石雨来、叶微微

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陆军军医大学第一附属医院,重庆市,400037

广西大学计算机与电子信息学院,广西壮族自治区 南宁市,530004

病种细分 精准预约 预约管理 微服务框架 分级诊疗

重庆市科技局项目

CSTB2022TFII-0IX0013

2024

中国卫生信息管理杂志
卫生部统计信息中心

中国卫生信息管理杂志

CSTPCD
影响因子:1.2
ISSN:1672-5166
年,卷(期):2024.21(3)
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