Suppr超能文献

抗菌药物管理计划中的电子健康与移动健康

eHealth and mHealth in Antimicrobial Stewardship Programs.

作者信息

Tuon Felipe Francisco, Zequinao Tiago, da Silva Marcelo Silva, Silva Kleber Oliveira

机构信息

Laboratory of Emerging Infectious Diseases, School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.

Beckman Coulter do Brasil, Barueri, Brazil.

出版信息

Digit Biomark. 2024 Sep 20;8(1):194-206. doi: 10.1159/000541120. eCollection 2024 Jan-Dec.

Abstract

BACKGROUND

The global need for rapid diagnostic methods for pathogen identification and antimicrobial susceptibility testing (AST) is underscored by the increasing bacterial resistance and limited therapeutic options, especially critical in sepsis management.

SUMMARY

This review examines the aspects of the eHealth and mHealth in Antimicrobial Stewardship Programs (ASPs) to improve the treatment of infections and rational use of antimicrobials.

KEY MESSAGES

The evolution from traditional phenotype-based methods to rapid molecular and mass spectrometry techniques has significantly decreased result turnaround times, improving patient outcomes. Despite advancements, the complex decision-making in antimicrobial therapy often exceeds the capacity of many clinicians, highlighting the importance of ASPs. These programs, integrating mHealth and eHealth, leverage technology to enhance healthcare services and patient outcomes, particularly in remote or resource-limited settings. However, the application of such technologies in antimicrobial management remains underexplored in hospitals. The development of platforms combining antimicrobial prescription data with pharmacotherapeutic algorithms and laboratory integration can significantly reduce costs and improve hospitalization times and mortality rates.

摘要

背景

细菌耐药性不断增加且治疗选择有限,凸显了全球对用于病原体鉴定和抗菌药物敏感性测试(AST)的快速诊断方法的需求,这在脓毒症管理中尤为关键。

总结

本综述探讨了电子健康和移动健康在抗菌药物管理计划(ASP)中的各个方面,以改善感染治疗和抗菌药物的合理使用。

关键信息

从传统的基于表型的方法向快速分子和质谱技术的演变显著缩短了结果周转时间,改善了患者预后。尽管取得了进展,但抗菌治疗中复杂的决策往往超出了许多临床医生的能力范围,凸显了ASP的重要性。这些整合了移动健康和电子健康的计划利用技术来改善医疗服务和患者预后,特别是在偏远或资源有限的环境中。然而,此类技术在医院抗菌管理中的应用仍未得到充分探索。结合抗菌药物处方数据与药物治疗算法以及实验室整合的平台的开发,可以显著降低成本并改善住院时间和死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7d3/11521536/3fadcfa44134/dib-2024-0008-0001-541120_F01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验