Acute alcohol intoxication is one of the most common poisoning diseases in emergency departments. The main clinical manifestations are nervous system symptoms, with various comorbidities, hidden complications, and high risk of adverse events, and it often takes up more medical resources in emergency departments. This article summarizes the necessity, basis, and existing methods of clinical risk assessment for acute alcohol intoxication, in order to provide a reference for early identification of high-risk patients and optimization of management in emergency departments.
Objective To explore the construction and application of a new follow-up visit model in the context of Internet hospital consultation, aiming to create a novel follow-up visit model that integrates precise identification of follow-up patients, messages of follow-up reminders, online free follow-up visits, and promotional activities. Methods Satisfaction surveys were conducted among outpatient patients and doctors at Jintang County First People’s Hospital from July 2023 to June 2024. Patients and doctors were divided into two groups based on whether the online free follow-up visit program had been implemented: the pre-implementation group (July to December 2023) and the post-implementation group (January to June 2024). The satisfaction levels of patients and doctors before and after the implementation were compared and analyzed. Results A total of 17 831 patient visits and 801 doctor visits were included. Since its launch, WeChat messages had been pushed to all outpatient patients, and both WeChat and SMS messages had been pushed to patients in surgical departments. The average waiting time for outpatient visits in January-June 2024 was shortened by 2 minutes compared with the same period last year (January-June 2023). The hospital’s Case Mix Index increased by 3.7%, and the surgical volume increased by 7.5%. After the launch of the Internet hospital, both patient and doctor satisfaction improved. Conclusion The new follow-up visit model of the Internet hospital represents an important initiative in the digital transformation of hospitals and holds value and significance for promotion in more county-level medical institutions.
The balanced allocation of high-quality medical resources is crucial for achieving equity, accessibility, and efficiency in medical services. This study sorts out typical high-quality medical resource allocation modes at home and abroad, analyzes the current situation of resource allocation in different regions, different disciplines and typical scenarios. Then, the mechanism that data and artificial intelligence technologies enable the balanced allocation of medical resources is investigated. Afterwards, realistic demands and practice paths of differentiated sharing and regional collaborative development are summarized. Finally, the sharing and collaborative development challenges of high-quality medical resources under the background of data and artificial intelligence are discussed, and suggestions for promoting the high-quality development of China’s medical service system are puts forward.
The construction of national regional medical center is an important measure for expanding high-quality medical resources and achieving balanced regional distribution. Combining the construction experience of West China Hospital of Sichuan University as an output hospital for national regional medical center, this paper takes the construction project of West China Xiamen Hospital of Sichuan University as the breakthrough point, sorts out the three major dilemmas faced by new project hospital, including pre-operational pressure, dilution of output hospital resources, and regional differences in management systems. It innovatively proposes to strengthen the four main responsibility subjects: the newly built hospital, the output hospital, the local government, and the national level, and provides specific implementation strategy suggestions for 11 core matters, including differentiated development, multi-dimensional publicity, internal management, top-level design, information technology support, personnel subjective initiative, internal responsibility, policy guarantee, compensation mechanism, and assessment subjects.
