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所在平台: Udemy |
课程主页: https://www.udemy.com/course/healthdata101/
课程评论：没有评论
课程名称：健康数据 101 概述：本课程是针对健康数据的入门课程，主要面向初级健康数据分析师。课程内容探讨健康医疗系统的复杂性，强调对健康数据的全面理解对健康分析的重要性。通过将原始健康数据转化为可行的洞察，学员将掌握在医疗行业中极具价值的技能，了解健康数据如何记录每位患者及其就医经历，学习一些使分析更具洞察力的健康数据特征，提升与临床和分析同事之间的沟通能力，并能够改善护理流程，真正对人们的健康和生活产生积极影响。 我们将涵盖的四个部分： 1. 健康数据来源：包括健康保险索赔、电子健康记录（EHR）、研究报告、公共卫生和用户生成内容等五个主要来源。 2. 健康数据样貌：包括结构化和非结构化数据，涵盖诊断、治疗、药物和 LOINC 代码等内容。 3. 健康数据特征：层级结构、疾病病因、时间顺序、供需关系等。 4. 健康数据问题：数据中的空白、错误，以及如何实际应对这些问题。 此外，课程还新增了来自预测建模课程的两个附加部分，内容涉及如何规划和获取对分析的支持。
This is an introductory course for Health Data, from the perspective of data analysts.The content is pitched at entry level health data analysts.Data characterizes, and connects complex health care systems.A thorough understanding of health data is fundamental to health analytics, which in turn turns raw health data into actionable insights. There are also features of health data that are pertinent to making effective use of it. Though there are plenty health data, there persists issues that must be address in order to scaleably perform subsequent analyses.Through this course, you will gain a highly valuable skill in the healthcare sectorunderstand how health data records information about each patient and medical encounterlearn a few features of health data that enable you to perform more insightful analysesbe able to communicate more effectively with clinical and analytic colleaguesbe empowered to improve care processes and make a difference to many people's health and livesThe 4 sections we will cover Where health data come from: 5 main sources including health insurance claims, EHR, research reports, public health, user generatedWhat health data look like: Structured and Unstructured data, including diagnosis, procedures, drug, LOINC codesFeatures of health data: Hierarchical structures, Disease etiology, chronology, supply vs demandIssues of health data: Gaps, Errors, and how to practically deal with theseNEW!!! 2 Bonus Sections from my Predictive Modeling course on Planning and Getting buy in for an analysis.
