Access from healthcare professionals to evidence-based pharmacotherapy in allergy management

被引:0
|
作者
Carvalho, Daniela [1 ]
机构
[1] Univ NOVA Lisboa, Publ Hlth Res Ctr, NOVA Natl Sch Publ Hlth, Lisbon, Portugal
基金
英国惠康基金; 美国国家卫生研究院;
关键词
allergy; artificial intelligence; evidence-based; pharmacotherapy; social media; EVIDENCE-BASED MEDICINE; ADHERENCE;
D O I
10.1097/ACI.0000000000000989
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
Purpose of reviewAccess to evidence-based pharmacotherapy (EBP) is crucial in effectively managing allergies. Allergy conditions, including rhinitis, asthma, and dermatitis, require treatment guided by scientific evidence. However, healthcare professionals face challenges in accessing relevant information.Recent findingsThe dynamic nature of allergy research, coupled with limited resources and variability in practice guidelines, complicates decision-making.SummaryTo enhance access, healthcare institutions should invest in comprehensive online resources tailored to allergy management, such as databases and platforms. Advances in algorithm development have shown that artificial intelligence and machine learning can enhance clinical decision-making. Integrating allergy-specific Clinical Decision Support Systems (CDSS) into electronic health records can assist professionals in making EBP decisions at the point of care. Continuing education and training programs focused on allergy management can keep healthcare providers updated on the latest research and guidelines. Multidisciplinary teams facilitate knowledge exchange and standardize practice approaches. Social media outlets can be a great route to publicize work carried out or in progress to a target audience of interest. By bridging the gap between evidence and practice in allergy management, healthcare systems can ensure optimal care for patients, alleviating the burden of allergic diseases on individuals and society.
引用
收藏
页码:274 / 279
页数:6
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