将认知辅助工具转化为决策支持平台:要求和设计准则
Angela Mastrianni1, Aleksandra Sarcevic1, Allison Hu2
1College of Computing and Informatics, Drexel University, Philadelphia, USA.
概括
数字认知辅助器可以通过提供及时的警报和建议来改善儿科创伤复苏. 这项研究开发和评估了新的检查列表功能,以加强在重症监护机构的决策支持.
科学领域:
- 数字健康数字健康
- 临床决策支持 临床决策支持
- 医疗信息学 医疗信息学
背景情况:
- 数字认知辅助工具提供了临床决策支持的潜力,包括对过程延迟的警报和干预建议.
- 有效实施需要及时,准确的数据输入和任务状态的标准化文档.
研究的目的:
- 检查儿童创伤复苏的数字检查清单如何触发决策支持警报和建议.
- 确定认知辅助工具的基本标准,以有效支持警报和建议.
主要方法:
- 一项混合方法研究,涉及联合设计会议和近实时模拟.
- 开发两个检查列表功能:医院前信息表和多步骤任务进展滑块.
- 在野生中对开发的特征进行评估.
主要成果:
- 确定了有效的认知辅助工具的两个关键标准:及时/准确的数据输入和准确的任务状态文档.
- 创建并评估了新的检查列表功能,以满足这些标准.
- 在时间和安全关键的场景中制定了设计认知辅助功能的指导方针.
结论:
- 数字认知辅助器,当设计具有特定的功能时,可以增强儿科创伤复苏的临床决策支持.
- 开发的功能和指导方针有助于提高重症监护中数字工具的可用性和有效性.
- 未来的研究应该集中在这种援助在紧急医疗中的更广泛实施和影响上.
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