|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/the-socio-technical-health-informatics-context
课程评论：没有评论
课程名称：健康信息学的社会和技术背景 课程概述： 本课程旨在提升对健康与医疗机构改进的理解，通过对数据的分析及健康信息技术（健康IT）在不同层面上的干预来实现。课程探讨从外部环境到具体技术层面的问题，帮助学员识别实施健康信息学模型时所需了解的社会因素，这些因素对成功至关重要。完成课程后，学员将能够迅速评估健康信息学问题或解决方案，识别缺失的部分以及需要进一步学习的内容。 适合对象： 本课程面向希望拓展数字健康、大数据、健康信息系统及医疗系统中颠覆性创新带来意外后果理解的医生、护士、药剂师、社会工作者及其他相关卫生专业人员。同时，也适合具备技术、工程或分析背景的人员，以深入理解这些主题在医疗保健中的细微差别。 课程大纲： 1. 健康信息学概述： - 本模块介绍课程及其基础概念，包括健康IT在患者、提供者和人群三个背景下的应用，驱动健康IT与信息学发展的因素及核心术语定义，建立课程工作的基础框架“信息学技术栈”。 2. 世界、组织、角色、功能： - 本模块深入探讨信息学和健康IT的世界，解析技术栈的四个层面（世界、组织、角色、功能），讨论推动医疗机构变革的美国医疗政策的历史及其对健康IT的影响，同时探讨互操作性及隐私/保密/安全等主题。 3. 工作流程、信息系统、模块： - 本模块围绕需求、要求和规格的角色展开，探讨如何将工作流程问题转化为需求，及如何组建满足这些需求的信息系统，并警示不当设计的信息系统如何对改善工作流程造成伤害。 4. 数据、信息、知识、技术： - 本模块最终围绕数据、信息、知识和技术展开讨论，包括数据的来源与类型、信息与数据的区别、知识与信息的区别，以及标准在这些内容中的重要性。利用“技术炒作周期”帮助学员了解新技术的表现及职业发展框架。
Name:Overview of Health Informatics
Description:In this module, you will be given an introduction to the course and its foundational concepts. After providing examples of health IT in the contexts of patients, providers, and populations—the three contexts we always return to—we articulate the drivers that motivate developments in health IT and informatics. We then provide the core definitions of key terms (like “health IT” and “informatics”) and introduce the core framework for your work in this course, the Informatics Stack.
Name:World, Organization, Roles, Function
Description:In this module, we start our journey down the Stack to explain the world of informatics and health IT. We explore the top four levels of the Stack (World, Organization, Roles, and Functions), and then proceed to discuss new US medical-care (“World”) policies that drive health care Organizations to change practice, so they can accomplish their core Functions. We also discuss the history of health IT in relation to such policies in the past. We begin a course-long discussion of interoperability (which occurs at each level of the Stack), and privacy/confidentiality/security. We end with an explication of methods used to Evaluate whether an IT project has achieved the Organizational goals set for that project.
Name:Workflow, Information System, Modules
Description:In this module, we continue the journey, starting with the role of needs, requirements, and specifications. We then turn to how workflow issues are turned into requirements and how information systems, built to satisfy those requirements, are assembled. We close with the cautionary notes of how poorly built systems harm the very workflows they were designed to improve.
Name:Data, Information, Knowledge, Technology
Description:This module concludes our journey with discussions of Data, Information, Knowledge, and Technology. Regarding data, we discuss their sources and types and provide examples. We go on to explain differences between information and data, and between knowledge and information. Standards are most important at this level, and we discuss the exchange of text and imaging data. Regarding technology, we use the Hype Cycle as a way for you to keep track of what new technologies are doing what and when. We close with a framework for thinking about careers in health IT and informatics.
Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external “world” in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success. At the end of this course, students will be able to make a quick assessment of a health informatics problem—or a proposed solution—and to determine what is missing and what more needs to be learned. Who Is This Class For? Physicians, nurses, pharmacists, social workers, and other allied health professionals interested in expanding their understanding of digital health, big data, health information systems, and the unintended consequences of disruptive innovation in the healthcare system. The course is also aimed at those with technical, engineering, or analytics backgrounds who want to understand the nuances of those topics when it comes to healthcare.
