Digital Decision Support for Perioperative Care of Patients With Type 2 Diabetes: A Call to Action.

Q2 Medicine
JMIR Diabetes Pub Date : 2025-04-08 DOI:10.2196/70475
Jianwen Cai, Peiyi Li, Weimin Li, Xuechao Hao, Sheyu Li, Tao Zhu
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引用次数: 0

Abstract

Unlabelled: Type 2 diabetes mellitus affects over 500 million people globally, with 10%-20% requiring surgery. Patients with diabetes are at increased risk for perioperative complications, including prolonged hospital stays and higher mortality, primarily due to perioperative hyperglycemia. Managing blood glucose during the perioperative period is challenging, and conventional monitoring is often inadequate to detect rapid fluctuations. Clinical decision support systems (CDSS) are emerging tools to improve perioperative diabetes management by providing real-time glucose data and medication recommendations. This viewpoint examines the role of CDSS in perioperative diabetes care, highlighting their benefits and limitations. CDSS can help manage blood glucose more effectively, preventing both hyperglycemia and hypoglycemia. However, technical and integration challenges, along with clinician acceptance, remain significant barriers.

2型糖尿病患者围手术期护理的数字化决策支持:行动呼吁
未标示:2型糖尿病影响全球超过5亿人,其中10%-20%需要手术治疗。糖尿病患者围手术期并发症的风险增加,包括住院时间延长和死亡率升高,主要是由于围手术期高血糖。围手术期血糖管理具有挑战性,常规监测往往不足以检测快速波动。临床决策支持系统(CDSS)是通过提供实时血糖数据和药物建议来改善围手术期糖尿病管理的新兴工具。这一观点探讨了CDSS在围手术期糖尿病护理中的作用,强调了它们的优点和局限性。CDSS可以帮助更有效地控制血糖,预防高血糖和低血糖。然而,技术和集成方面的挑战,以及临床医生的接受程度,仍然是重大障碍。
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来源期刊
JMIR Diabetes
JMIR Diabetes Computer Science-Computer Science Applications
CiteScore
4.00
自引率
0.00%
发文量
35
审稿时长
16 weeks
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