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所在平台: Udemy |
课程主页: https://www.udemy.com/course/h06-data-databases-in-healthcare-plain-simple/
课程评论：没有评论
课程名称：医疗保健中的大数据与决策入门，简单明了 课程概述：本课程的重要性在于，医疗错误已成为美国第三大死亡原因。通过为临床人员提供“基于证据”的决策支持系统，有潜力减少许多医疗错误，优化流程并改善患者体验。大数据为这些临床决策支持系统奠定了坚实的基础，但由于数据量庞大且持续增长，这一过程面临挑战。此外，实时设备流式传输医疗数据的速度也加大了难度。课程将探讨如何关联、确保数据的准确性、进行管理并使其易于访问。 课程内容： 1. 大数据的基本概念 - 大数据的定义 - 大数据的四个特征（4Vs） - 结构化数据与非结构化数据 - 大数据的挑战 - 大数据的价值 - 数据准确性、管理者与治理 - 大数据的力量 - 大数据的用户 - 大数据的风险 2. 互操作性与数据库 - 数据库的定义 - 数据孤岛与互操作性 3. 大数据与决策制定 - 从大数据到洞见 - 决策过程 - 因果关系与相关性 - 医疗错误示例 - 药房示例 - 放射学示例 课程包括： - 视频讲座，深入各个大数据和临床决策方面 - 测验，测试学习成效 - 大量资源，提供更深入的主题研究 适合对象： - 正在考虑选择医疗保健作为职业的人 - 希望在医疗保健领域晋升的人 - 希望深入了解医疗保健以更好地履行当前工作的人员 - 对医疗保健充满好奇，想要扩展知识的人 教学风格： 通过务实的教学风格，课程从基础知识开始，循序渐进。考虑到一些概念可能较具挑战性，老师将提供丰富的实例，确保学生对主题的全面理解。 教师资历： 教师在医疗成像产品和服务的设计与启动方面拥有35年的经验，从工程团队领导到医疗IT公司的总裁，兼具大学教学经验。
WHY IS THIS COURSE IMPORTANT?Medical errors are now the third leading cause of death in America. A system that can provide "Evidence Based" decision support to clinical staff in the diagnosis and treatment of patients has the potential of reducing many of these errors. It also has the potential of streamlining processes and improving patient experience. Big Data can provide the solid foundation for these clinical decision support systems. But the volume is enormous and it is increasing each day. This is complicated by the speed at which real time devices stream healthcare data. How do we link all of this data? How do we make sure that it is accurate? How do we manage it? How do we make it easily accessible? This course will begin to lay the foundation for addressing many of these issues.WHAT WILL YOU LEARN IN THIS COURSE?Fundamentals of Big DataWhat is Big Data?The 4Vs of Big DataStructured vs Unstructured DataThe Challenges of Big DataBig Data, The AssetData Accuracy, Stewards and GovernanceThe Power of Big DataThe Users of Big DataThe Dangers of Big DataInteroperability & DatabasesWhat is a Database?Data Islands and InteroperabilityBig Data, The Foundation for Making DecisionsFrom Big Data to InsightsDecision Making ProcessCausation and CorrelationMedical Error ExamplePharmacy ExampleRadiology ExampleThis course includes:Video lectures walking you through the various aspects of Big Data & making clinical decisionsQuiz to test your retentionSignificant number of resources to do a deeper dive into his topic.WHO IS THE IDEAL STUDENT FOR THIS COURSE?You will learn a lot from this course if you areThinking about choosing healthcare as a careerLooking to advance your career in healthcareLooking to expand your knowledge of healthcare to better perform your current job and better understand how it fits into the ecosystem of patient care and better serve those in needCurious about everything and want to learn more about healthcare just for the sake of expanding your knowledge base.WHAT IS YOUR TEACHING STYLE?My teaching style is a very pragmatic one. I assume you know nothing about this topic and start with the foundation and build from there. Some of these concepts could be challenging, so I sprinkle in as many examples as I can, both non healthcare and healthcare, to assure full understanding of the topic. This is why I have appended "Plain and Simple" to all my courses.WHY ARE YOU QUALIFIED TO TEACH THIS COURSE?I spent 35 years in the designing and launching of medical imaging products and services. My career evolved from leading engineering teams, to becoming VP Marketing and then to president of a Healthcare IT firm. It is also based on 15 years of university teaching.
