課程信息

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中級
完成時間大約為12 小時
英語(English)
字幕:英語(English)
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為12 小時
英語(English)
字幕:英語(English)

提供方

加州大学戴维斯分校 徽標

加州大学戴维斯分校

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 3 小時

Introduction to Healthcare Data Models

完成時間為 3 小時
10 個視頻 (總計 58 分鐘), 1 個閱讀材料, 1 個測驗
10 個視頻
Module 1 Introduction52
What is a Data Model?6分鐘
Speaking the Same Language and Capturing the Context6分鐘
The Uniqueness of Data Models as Used in Healthcare6分鐘
Path to Value: Operational Systems to Actionable Information, Part 17分鐘
Path to Value: Operational Systems to Actionable Information, Part 26分鐘
Data Flows among Systems and Keeping Systems Connected7分鐘
What We're Measuring in Healthcare Data Models, Part 17分鐘
What We're Measuring in Healthcare Data Models, Part 25分鐘
1 個閱讀材料
A Note From UC Davis10分鐘
1 個練習
Module 1 Quiz30分鐘
2

2

完成時間為 2 小時

Data Models and Use Cases They Support

完成時間為 2 小時
6 個視頻 (總計 33 分鐘)
6 個視頻
Selecting a Data Model9分鐘
The Hierarchical Model and Supported Use Cases5分鐘
The Relational Schema and Supported Use Cases6分鐘
The Star Schema and Supported Use Cases6分鐘
Comparing and Contrasting Healthcare Data Models5分鐘
1 個練習
Module 2 Quiz30分鐘
3

3

完成時間為 3 小時

Working with Data across Systems

完成時間為 3 小時
5 個視頻 (總計 41 分鐘)
5 個視頻
Purpose, Use Cases, and Measurements in Healthcare Data8分鐘
Normalization of Healthcare Data6分鐘
Integrating Healthcare Data Across Sources and Systems10分鐘
Common Identifiers and The Master Patient Index (MPI)14分鐘
1 個練習
Module 3 Quiz30分鐘
4

4

完成時間為 5 小時

Improving the Quality of Healthcare Data

完成時間為 5 小時
5 個視頻 (總計 27 分鐘), 3 個閱讀材料, 2 個測驗
5 個視頻
Data Quality: Driven by Questions We Ask and Levels of Use8分鐘
Verification and Validation of Data for Consistency: Finding Data Errors8分鐘
Data Mapping7分鐘
Course Summary1分鐘
3 個閱讀材料
Data Mapping article from AHIMA30分鐘
What Mapping and Modeling Means to the Health Information Management Professional30分鐘
Welcome to Peer Review Assignments!10分鐘
1 個練習
Module 4 Quiz30分鐘

審閱

來自HEALTHCARE DATA MODELS的熱門評論

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關於 Health Information Literacy for Data Analytics 專項課程

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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