Gance-Cleveland Bonnie, Ozkaynak Mustafa
Lorreta C Ford Professor, University of Colorado Anschutz Medical Center, United States.
Lorreta C Ford Professor, University of Colorado Anschutz Medical Center, United States.
J Pediatr Nurs. 2021 May-Jun;58:104-106. doi: 10.1016/j.pedn.2020.08.012. Epub 2020 Aug 25.
Clinical decision support with individualized patient education information can facilitate the translation of evidence-based guidelines into practice to improve pediatric patient outcomes. Interdisciplinary teams are required to develop and implement this technology support into practice. Engineering expertise with attention to three components is required: backend (e.g., data science, predictions), front end (e.g., user interface), and integration (e.g., workflow) must be addressed to achieve useful technology that will be adopted. An engineering framework, Technology Acceptance Model, can be used to guide the development of clinical decision support with patient education materials and includes a partnership with end users, both clinicians and patients.
具有个性化患者教育信息的临床决策支持可以促进将循证指南转化为实践，以改善儿科患者的治疗效果。需要跨学科团队来开发并将这项技术支持应用到实践中。要实现实用且会被采用的技术，需要具备关注三个组成部分的工程专业知识：后端（如数据科学、预测）、前端（如用户界面）以及整合（如工作流程）。一种工程框架——技术接受模型，可用于指导带有患者教育材料的临床决策支持的开发，并且包括与临床医生和患者这些终端用户建立合作关系。
