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开发使用敏捷方法的数字工具,并共同设计移动中风装置 (MSU) 的改进医疗保健调试. 这种方法提高了复杂决策和利益相关方参与的证据可用性.

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科学领域:

  • 医疗保健服务研究 医疗服务研究
  • 数字健康数字健康
  • 医疗信息学 医疗信息学

背景情况:

  • 委托医疗保健创新需要高质量,可用的证据.
  • 现有的证据格式往往阻碍了有效的委托决策.
  • 数字工具可以弥合证据生成和实际应用之间的差距.

研究的目的:

  • 使用敏捷和共同设计方法开发和测试数字网络应用程序.
  • 整合机器学习模型的中风结果,以告知移动中风单元 (MSU) 调试.
  • 评估数字工具的可用性,并收集有关调试复杂性的见解.

主要方法:

  • 敏捷方法和定性联合设计被用于应用程序开发.
  • 整合了预测中风结果的机器学习模型.
  • 可用性测试采用了与16个利益相关方的大声思考方法.
  • 对参与者数据进行了主题分析.

主要成果:

  • 该研究确定了网络应用程序的必要改进.
  • 对特定背景的医疗保健调试挑战产生了新的见解.
  • 数字工具影响了参与者对移动中风装置可行性的看法.
  • 经验证据支持委托流程的数字传播.

结论:

  • 创新的数字传播方法对于参与医疗保健调试至关重要.
  • 可访问的工具可以有助于前性地理解和解决调试挑战.
  • 开发的应用程序显示了在实施移动动脉冲装置的决策中提供信息的潜力.