| 非内分泌病房住院糖尿病患者的血糖管理 |
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| 引用本文： | 陈向阳,李舍予. 非内分泌病房住院糖尿病患者的血糖管理[J]. 中国全科医学, 2023, 26(15): 1799-1803. DOI: 10.12114/j.issn.1007-9572.2022.0793 |
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| 作者姓名： | 陈向阳 李舍予 |
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| 作者单位： | 1．610200 四川省成都市双流区第一人民医院内分泌代谢科2．610041 四川省成都市，四川大学华西医院内分泌代谢科3．610041 四川省成都市，四川大学华西医院中国循证医学中心Cochrane中国中心MAGIC中国中心 |
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| 基金项目： | 四川省科技厅科研课题(2022YFH0114) |
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| 摘 要： | 糖尿病是我国住院患者中的常见疾病，良好的血糖控制则可能改善患者住院结局、缩短住院时长、提高医疗效率、节约医疗资源。本文通过梳理相关文献，总结不同血糖管理模式的特点和适用场景，为临床血糖管理和研究提供参考。目前临床常见的血糖管理模式包括科间会诊、全院血糖管理项目和智能血糖管理决策支持系统3种，每种血糖管理模式均有其优点和局限性。随着信息化技术的发展，不同的血糖管理模式将不断提高医院医疗服务效率和质量。
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| 关 键 词： | 糖尿病 住院患者 血糖 血糖控制 血糖管理 非内分泌科 人工智能 |
| 收稿时间： | 2022-05-10 |
Glycemic Management for Hospitalized Patients with Diabetes in Non-endocrine Wards |
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| CHEN Xiangyang,LI Sheyu. Glycemic Management for Hospitalized Patients with Diabetes in Non-endocrine Wards[J]. Chinese General Practice, 2023, 26(15): 1799-1803. DOI: 10.12114/j.issn.1007-9572.2022.0793 |
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| Authors: | CHEN Xiangyang LI Sheyu |
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| Affiliation: | 1. Department of Endocrinology and Metabolism, the First People's Hospital of Shuangliu District, Chengdu 610200, China2. Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China3. Chinese Evidence-based Medicine Center/Cochrane China Center/MAGIC China Center, West China Hospital, Sichuan University, Chengdu 610041, China |
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| Abstract: | Diabetes is a disease frequently encountered in hospitals in China. Good glycemic management can improve clinical outcomes and shorten the length of stay of diabetic patients, enhance healthcare efficiency and save medical resources. To provide a reference for clinical glycemic management and associated research, we reviewed relevant literature, then summarized the characteristics and applicable settings of different blood glucose management modes, and detailed the advantages and limitations of three major glycemic management models, including general-specialist consultation, hospital-wide glycemic management program, and smart decision support system for blood glucose management. With the support of information technology, different glycemic management modes will contribute to the continuous improvement of efficiency and quality of hospital care. |
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| Keywords: | Diabetes mellitus Inpatients Blood glucose Glycemic control Glycemic management Non-endocrinology Artificial intelligence |
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