1.Construction and application of a digital intelligent outpatient service mode in a large hospital
Tao SHAN ; Yinbin PAN ; Song ZHANG ; Jin YAN ; Hongwei JIANG ; Chao JIN ; Shan LU ; Yun LIU
Chinese Journal of Hospital Administration 2024;40(12):948-952
Outpatient service is a direct reflection of a hospital′s medical level and service efficiency.In February 2024, a tertiary hospital sorted out the existing problems in outpatient services, and constructed a digital intelligent service mode for outpatient services based on the theory of ubiquitous learning, including theoretical foundation layer, data foundation layer, patient profile layer, knowledge fusion layer, and application layer. Based on this mode, the hospital integrated existing outpatient data and knowledge resources using technologies such as artificial intelligence, big data, and knowledge organization, and created multiple application services such as " precision plus", full process self-service guidance, " one code pass" for elderly patients, and one-stop inspection and examination appointments, forming a digital intelligent service ecosystem for outpatient services and providing patients with accurate, efficient, and convenient outpatient services. As of November 2024, the relevant application services had provided accurate online booking services for 90 000 patients, accurate appointment services for 21 000 patients, and completed the " One Code Pass" service for 107 000 elderly patients, achieving good results and providing references for other hospitals to optimize outpatient services.
2.Construction and application of a digital intelligent outpatient service mode in a large hospital
Tao SHAN ; Yinbin PAN ; Song ZHANG ; Jin YAN ; Hongwei JIANG ; Chao JIN ; Shan LU ; Yun LIU
Chinese Journal of Hospital Administration 2024;40(12):948-952
Outpatient service is a direct reflection of a hospital′s medical level and service efficiency.In February 2024, a tertiary hospital sorted out the existing problems in outpatient services, and constructed a digital intelligent service mode for outpatient services based on the theory of ubiquitous learning, including theoretical foundation layer, data foundation layer, patient profile layer, knowledge fusion layer, and application layer. Based on this mode, the hospital integrated existing outpatient data and knowledge resources using technologies such as artificial intelligence, big data, and knowledge organization, and created multiple application services such as " precision plus", full process self-service guidance, " one code pass" for elderly patients, and one-stop inspection and examination appointments, forming a digital intelligent service ecosystem for outpatient services and providing patients with accurate, efficient, and convenient outpatient services. As of November 2024, the relevant application services had provided accurate online booking services for 90 000 patients, accurate appointment services for 21 000 patients, and completed the " One Code Pass" service for 107 000 elderly patients, achieving good results and providing references for other hospitals to optimize outpatient services.

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