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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/the-outcomes-and-interventions-of-health-informatics
课程评论：没有评论
课程名称：健康信息学的结果与干预 课程概述：为了使临床数据科学在医疗保健中有效，达到预期结果，它必须转化为某种形式的决策支持，无论是在患者、临床医生还是管理者的层面。通过本课程的学习，学生将能够清晰地阐述干预的需求、合理界定干预的规模、选择合适的技术、描述获取知识的方法，并设计监测计划。 课程大纲： 1. **干预的定位** 本模块将通过一系列医疗保健中的决策支持干预措施来介绍课程。我们将探讨决策支持的五大要素，并讨论决定是否构建干预以及如何评估干预的基本原则。 2. **定义决策支持** 在这一模块中，我们将重点关注设计问题，既针对决策支持，也适用于多个不同环境的设计。 3. **使用事务性和总结性数据与知识进行决策支持** 本模块将重返决策支持，重点关注规则——大多数决策支持的关键结构。我们将提供成功实施所需的所有最低组件的关键框架，同时讨论规则所使用的语言及如何在不同机构之间保持规则的一致性。 4. **获取和创建决策支持所需的知识** 本模块将深入决策支持的幕后，考察我们如何获取推动决策支持的知识，包括数据科学——从数据中生成知识的过程。 通过本课程的学习，学生将能够掌握健康信息学的核心概念和技能，为改善医疗流程提供有效的决策支持工具。
Name:Knowing Where to Intervene
Description:In this module, you will be introduced to the course through a range of decision support interventions used in health care. We will examine the Five Rights of decision support and go on to discuss the basics for deciding whether to build an intervention and, having done so, how to evaluate it.
Name:Defining Decision Support
Description:In this module, we will focus on issues of design, both for decision support and as they apply more broadly across multiple environments.
Name:Using Transactional and Summative Data and Knowledge for Decision Support
Description:In this module, we return to decision support, focusing on rules-- the key structure in most decision support. We'll provide a key framework for making sure you have all the minimum components for ensuring a successful implementation. We'll also address issues of languages used by rules and how to keep rules consistent within and between institutions.
Name:Eliciting and Creating Knowledge for Decision Support
Description:In this module, we will go behind the scenes of decision support, examining where and how we get the knowledge that drives decision support --including data science-- for generating knowledge from data.
For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate technology, to describe how knowledge should be obtained, and to design a monitoring plan.
