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相关概念视频

Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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Study Design in Statistics01:15

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
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Guidelines and Strategies for Safe Computer Charting01:18

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The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
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Statistical Software for Data Analysis and Clinical Trials01:12

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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基于医院的预测风险工具的图形用户界面开发:共同设计研究协议.

Nicholas Marlow1, Marion Eckert1, Greg Sharplin1

  • 1University of South Australia, Adelaide, Australia.

JMIR research protocols
|August 31, 2023
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概括
此摘要是机器生成的。

这项研究使用了共同设计来制定人工智能 (AI) 支持的风险预测工具的图形用户界面 (GUI) 的建议. 吸引卫生专业人员确保人工智能工具可用,并与临床工作流程保持一致,以便更好地采用.

关键词:
共同设计的共同设计医疗信息技术健康信息技术医疗保健专业人员的健康专业人员用户界面用户界面以用户为中心的设计

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科学领域:

  • 医疗信息学 医疗信息学
  • 人与计算机的交互
  • 医疗保健中的人工智能

背景情况:

  • 共同设计研究对于开发以用户为中心的健康技术至关重要.
  • 让最终用户参与人工智能工具的设计过程,有助于推广采用和有效使用.
  • 卫生干预措施的美学和功能设计选择最好由预期的用户决定.

研究的目的:

  • 确定卫生专业人员对支持人工智能的风险预测工具图形用户界面 (GUI) 的建议.
  • 收集医疗保健专业人员的设计和采用建议,用于AI风险预测工具的GUI.

主要方法:

  • 一个三阶段的共同设计研究方法,涉及36名卫生专业人员.
  • 六个代研讨会活动 (使用上下文,通知者,格式,AI调查-Likert,原型,AI调查-书面) 在研讨会中重复.
  • 以NASSSS框架为指导的定性 (主题分析,互动性框架) 和定量 (描述性统计) 数据分析.

主要成果:

  • 在澳大利亚和新西兰临床试验注册处申请项目注册 (#384098).
  • 获得了南澳大利亚卫生与福利部和南澳大利亚大学的人类研究伦理审批.
  • 最终设计建议预计将在2024年初到中期完成;手稿提交计划于2024年中期.

结论:

  • 为用户采用和整合到现有工作实践中设计干预措施对于他们的成功至关重要.
  • 共设计确保人工智能工具满足最终用户对美学和功能的需求,与临床工作流程保持一致.
  • 如果不能将干预措施与用户实践保持一致,可能会导致不喜欢甚至危险的结果.