医疗资源优化配置
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郑州市“全院一张床”改革打破医院科室壁垒 床位可共享 患者少等待
He Nan Ri Bao· 2025-10-22 23:51
Core Viewpoint - The implementation of the "One Bed for the Whole Hospital" model in Zhengzhou aims to optimize hospital bed utilization and improve patient care by breaking down departmental barriers and allowing flexible bed management across the hospital [2][4]. Group 1: Implementation of the Model - The "One Bed for the Whole Hospital" model allows for the unified management and allocation of hospital beds, enabling patients to be treated across different departments as needed [2][4]. - Zhengzhou Central Hospital has developed an intelligent management platform to monitor bed usage in real-time, ensuring patients are matched with the most suitable beds based on urgency and proximity [3][4]. Group 2: Systematic Efforts and Results - The reform is part of a broader initiative by Zhengzhou to streamline medical processes, with the provincial health commission introducing seven measures to facilitate easier access to healthcare [4][5]. - Since the model's implementation, patient wait times for beds have significantly decreased, with a reported average reduction of 0.81 days for pre-surgery bed waiting times in the colorectal surgery department [4]. - The bed utilization rate in shared departments increased by 22.2% during the recent holiday period, indicating improved operational efficiency [4]. Group 3: Future Plans - By the end of 2026, all secondary and higher-level medical institutions in Zhengzhou are expected to fully adopt the "One Bed for the Whole Hospital" model, enhancing resource allocation and alleviating inpatient pressure [5].
市一医院与美年健康达成合作,共建“公立+体检”医联体模式
Nan Fang Du Shi Bao· 2025-09-16 12:55
Core Insights - Guangzhou First People's Hospital and Meinian Health signed a cooperation agreement to enhance health services through a comprehensive approach from screening to rehabilitation [1][3] Group 1: Partnership Details - The partnership will establish collaboration with four Meinian Health examination centers located in densely populated areas such as Yuexiu, Tianhe, and Huadu, aiming to extend public hospital services and improve overall health service efficiency [3] - The cooperation will implement a "five priority" mechanism for medical services, ensuring a dedicated response process and strengthening referral connections for more efficient health services [3][5] Group 2: Focus Areas of Collaboration - The collaboration will focus on three main areas: creating a green referral channel for clients with abnormal test results, sharing expert resources between the two organizations, and jointly developing comprehensive health management solutions [5] - Meinian Health aims to integrate preventive medicine with clinical care, enhancing the overall health management experience for citizens [9] Group 3: Technological Integration - The release of the "China Smart Traditional Chinese Medicine Industry Development Report" highlights the role of artificial intelligence in standardizing and improving the efficiency of traditional Chinese medicine diagnosis and treatment [7]
大规模临床试验证实:低风险卒中患者监测频率可减半至17次
Zhong Guo Chan Ye Jing Ji Xin Xi Wang· 2025-05-27 00:01
Group 1 - The study indicates that for low-risk acute ischemic stroke (AIS) patients, reducing the traditional monitoring frequency from 37 to 17 times within 24 hours is both safe and effective, optimizing medical resource allocation [1][3] - The research involved a collaboration among teams from Fudan University, Johns Hopkins University, and other institutions, covering 4,922 patients across 114 hospitals in 8 countries [1][2] - The findings were published in The Lancet, highlighting the results of the OPTIMISTmain trial, which focuses on monitoring frequency after venous thrombolysis for brain infarction [1][2] Group 2 - Acute stroke is the second leading cause of death and the third leading cause of disability globally, making stroke prevention and treatment a public health priority [2] - The traditional monitoring protocol, established in the 1990s, is resource-intensive and can interfere with patient rest and nursing staff's ability to provide education and support [2][3] - The study found no significant differences in key outcomes such as 90-day poor prognosis, incidence of brain hemorrhage, and serious adverse events between the two monitoring groups [3] Group 3 - The implementation of low-intensity monitoring led to a 30% reduction in ICU admission rates in U.S. hospitals, alleviating pressure on nursing resources [3] - The research team recommends incorporating the low-intensity monitoring protocol for low-risk patients into clinical guidelines to benefit more healthcare systems and patients [3] - Future research includes the establishment of a global research collaboration platform called "ACT-GLOBAL," aiming to enhance clinical trial efficiency by 40% and reduce research cycles by 30% [4]