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英語
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修了時に証明書を取得
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自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
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中級レベル
約12時間で修了
英語
字幕:英語

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カリフォルニア大学デービス校(University of California, Davis) ロゴ

カリフォルニア大学デービス校(University of California, Davis)

シラバス - 本コースの学習内容

1

1

3時間で修了

Introduction to Healthcare Data Models

3時間で修了
10件のビデオ (合計58分), 1 reading, 1 quiz
10件のビデオ
Module 1 Introduction52
What is a Data Model?6 分
Speaking the Same Language and Capturing the Context6 分
The Uniqueness of Data Models as Used in Healthcare6 分
Path to Value: Operational Systems to Actionable Information, Part 17 分
Path to Value: Operational Systems to Actionable Information, Part 26 分
Data Flows among Systems and Keeping Systems Connected7 分
What We're Measuring in Healthcare Data Models, Part 17 分
What We're Measuring in Healthcare Data Models, Part 25 分
1件の学習用教材
A Note From UC Davis10 分
1の練習問題
Module 1 Quiz30 分
2

2

2時間で修了

Data Models and Use Cases They Support

2時間で修了
6件のビデオ (合計33分)
6件のビデオ
Selecting a Data Model9 分
The Hierarchical Model and Supported Use Cases5 分
The Relational Schema and Supported Use Cases6 分
The Star Schema and Supported Use Cases6 分
Comparing and Contrasting Healthcare Data Models5 分
1の練習問題
Module 2 Quiz30 分
3

3

3時間で修了

Working with Data across Systems

3時間で修了
5件のビデオ (合計41分)
5件のビデオ
Purpose, Use Cases, and Measurements in Healthcare Data8 分
Normalization of Healthcare Data6 分
Integrating Healthcare Data Across Sources and Systems10 分
Common Identifiers and The Master Patient Index (MPI)14 分
1の練習問題
Module 3 Quiz30 分
4

4

5時間で修了

Improving the Quality of Healthcare Data

5時間で修了
5件のビデオ (合計27分), 3 readings, 2 quizzes
5件のビデオ
Data Quality: Driven by Questions We Ask and Levels of Use8 分
Verification and Validation of Data for Consistency: Finding Data Errors8 分
Data Mapping7 分
Course Summary1 分
3件の学習用教材
Data Mapping article from AHIMA30 分
What Mapping and Modeling Means to the Health Information Management Professional30 分
Welcome to Peer Review Assignments!10 分
1の練習問題
Module 4 Quiz30 分

レビュー

HEALTHCARE DATA MODELS からの人気レビュー

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Health Information Literacy for Data Analytics専門講座について

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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