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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/using-data-for-healthcare-improvement
课程评论：没有评论
课程名称：使用数据进行医疗改进 课程概述：本课程旨在强调测量护理质量和健康结果的重要性，以确定质量改进(QI)举措是否达成目标。您将学习如何利用数据识别改进领域，并了解在评估变化时使用定量和定性数据的重要性。此外，您将掌握适合于改进的特定方法，这与更适合研究的方法有所不同，包括如何设计适合改进举措的测量方案。 课程大纲： 1. **测量以促进改进** 本模块将重点讲解测量护理质量和健康结果的重要性，以判断质量改进(QI)举措是否成功。您将学习如何利用数据识别改进领域，以及在评估变革时定量和定性数据的使用重要性。还将介绍适用于改进的具体方法，以及如何设计相应的测量方案。 2. **统计过程控制 - 第一部分** 本模块将教授如何使用统计过程控制的方法，区分不同的变化和模式，以有效地监控过程。 3. **统计过程控制 - 第二部分** 本模块将在第一部分的基础上，扩展更多统计过程控制的方法，以便更全面地进行数据分析和结果评估。 4. **质量改进中的定性方法和理论框架** 在本模块中，您将学习如何在医疗质量改善中使用定性研究方法，包括如何利用定性方法推动改进，以及如何研究和评估改进效果。我们将讨论“密歇根匹配研究”的方法和关键发现，强调理论在质量改进中的重要性，并比较三种实施和改进的理论框架。 通过本课程，您将掌握将数据用于医疗改进的关键技能，从而提升医疗服务质量和病人健康结果。
Part: 1
Title:Measurement for Improvement
Description:In this module, you will learn about the importance of measuring quality of care and health outcomes in order to determine whether QI initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative and qualitative data in evaluating change. You will learn about the specific methods appropriate for improvement as distinct from methods more suited to research, including how to design measurement schemes suitable for improvement initiatives.
Part: 2
Title:Statistical Process Control – part I
Description:In this module you will learn how to use the methods of statistical process control to distinguish between
Part: 3
Title:Statistical Process Control – part II
Description:In this module you will build on what you learnt previously, expanding the repertoire of methods to
Part: 4
Title:Qualitative Methods and Theoretical Frameworks in Quality Improvement
Description:In this module, you will learn about the use of qualitative research methods in QI in healthcare. This includes how qualitative methods can be used to drive improvement, and in studying and evaluating improvement. You will learn about the Matching Michigan study, including methods and key findings, as an example of the importance of theory in quality improvement. You will compare three theoretical frameworks for implementation and improvement,
In this course, you will learn about the importance of measuring the quality of care and health outcomes in order to determine whether Quality Improvement(QI ) initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative and qualitative data in evaluating change. You will learn about the specific methods appropriate for improvement as distinct from methods more suited to research, including how to design measurement schemes suitable for improvement initiatives
