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中级

完成时间大约为10 小时

建议:4 weeks of study, 2-5 hours/week...

英语(English)

字幕:英语(English)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为10 小时

建议:4 weeks of study, 2-5 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 3 小时

Introduction to Healthcare Data Models

In this module, you will be able to define the foundational terms used in discussing and building healthcare data models. You'll be able to describe the conceptual model showing how data flows from operations to analysis. You will compare and contrast common data models used in healthcare data systems. You will also be able to identify common measures used in healthcare data analysis.

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10 个视频 (总计 58 分钟), 1 个阅读材料, 1 个测验
10 个视频
Module 1 Introduction52
What is a Data Model?6分钟
Speaking the Same Language and Capturing the Context6分钟
The Uniqueness of Data Models as Used in Healthcare6分钟
Path to Value: Operational Systems to Actionable Information, Part 17分钟
Path to Value: Operational Systems to Actionable Information, Part 26分钟
Data Flows among Systems and Keeping Systems Connected7分钟
What We're Measuring in Healthcare Data Models, Part 17分钟
What We're Measuring in Healthcare Data Models, Part 25分钟
1 个阅读材料
A Note From UC Davis10分钟
1 个练习
Module 1 Quiz30分钟
2
完成时间为 2 小时

Data Models and Use Cases They Support

In this module, you'll be able to describe the Star Schema Data Model, distinguish it from the hierarchical and relational model, list some pros and cons and explain situations in which it could be appropriately used. You should also recognize when another type of data model might be better suited to a particular use case.

...
6 个视频 (总计 33 分钟), 1 个测验
6 个视频
Selecting a Data Model9分钟
The Hierarchical Model and Supported Use Cases5分钟
The Relational Schema and Supported Use Cases6分钟
The Star Schema and Supported Use Cases6分钟
Comparing and Contrasting Healthcare Data Models5分钟
1 个练习
Module 2 Quiz30分钟
3
完成时间为 3 小时

Working with Data across Systems

In this module, you'll be able to explain how information is stored in data models and how we assemble relevant information to analyze an interesting problem that can improve our healthcare systems. We'll review how we normalize data and how that facilitates analysis. We'll go on to discuss how to bring together information from different sources and across various functional systems. We will also consider how to measure it accurately.

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5 个视频 (总计 41 分钟), 1 个测验
5 个视频
Purpose, Use Cases, and Measurements in Healthcare Data8分钟
Normalization of Healthcare Data6分钟
Integrating Healthcare Data Across Sources and Systems10分钟
Common Identifiers and The Master Patient Index (MPI)14分钟
1 个练习
Module 3 Quiz30分钟
4
完成时间为 5 小时

Improving the Quality of Healthcare Data

In this module, you will be able to examine the data that goes into these models and explain how we work with the information that comes from the practice and business of medicine. We will transition from raising the data quality to focusing on finding and correcting data errors by validation and verification. You will also be able to describe several ways data is checked to eliminate errors and improve data quality.

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5 个视频 (总计 27 分钟), 3 个阅读材料, 2 个测验
5 个视频
Data Quality: Driven by Questions We Ask and Levels of Use8分钟
Verification and Validation of Data for Consistency: Finding Data Errors8分钟
Data Mapping7分钟
Course Summary1分钟
3 个阅读材料
Data Mapping article from AHIMA30分钟
What Mapping and Modeling Means to the Health Information Management Professional30分钟
Welcome to Peer Review Assignments!10分钟
1 个练习
Module 4 Quiz30分钟
3.8
3 个审阅Chevron Right

来自Healthcare Data Models的热门评论

创建者 RTMar 5th 2019

Great examples and reinforces what the goals of each module are.

讲师

Avatar

Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

关于 加州大学戴维斯分校

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

关于 Health Information Literacy for Data Analytics 专项课程

This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information....
Health Information Literacy for Data Analytics

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