課程信息
專項課程
100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為9 小時

建議:4 weeks of study, 2-5 hours/week...
可選語言

英語(English)

字幕:英語(English)
專項課程
100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為9 小時

建議:4 weeks of study, 2-5 hours/week...
可選語言

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 2 小時

Why Data Quality Matters

In this module, you will be able to define data quality and what drives it. You'll be able to recall and describe four key aspects of data quality. You'll be able to explain why data quality is important for operations, for patient care, and for the finances of healthcare providers. You'll be able to discuss how data may change over time, and how finding those changes allows us to recognize and work with the issues the changes cause. You will be able to explain why requirements for data quality depend on how we intend to use that data and understand four levels of quality that may be applied for different kinds of analysis. You will also be able to discuss how all of this supports our ability to do our best work in the best ways possible....
Reading
6 個視頻 (總計 34 分鐘), 2 個閱讀材料, 1 個測驗
Video6 個視頻
Module 1 Introduction2分鐘
Why Data is Collected and Defining Quality3分鐘
Why Data Quality Matters, Part 17分鐘
Why Data Quality Matters, Part 29分鐘
How Data Quality Assessment Varies in Different Data Uses7分鐘
Reading2 個閱讀材料
A Note From UC Davis10分鐘
Data quality assessment for comparative effectiveness research in distributed data networks30分鐘
Quiz1 個練習
Module 1 Quiz30分鐘
2
完成時間(小時)
完成時間為 4 小時

Measuring Data Quality

This module focuses on measuring data quality. After this module, you will be able to describe metadata, list what metadata may include, give some examples of metadata and recall some of its uses as it relates to measuring data quality. We will describe data provenance to explains how knowing the origin of a data set can help data analysts determine if a data set is suitable for a particular use. We’ll also describe 5 components of data quality you can recall and use when evaluating data. You will also learn to be able to distinguish between data verification and validation, recalling 4 applicable data validation methods and 3 concepts useful to validate data. In addition to your video lessons, you will read and discuss a scholarly article on Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. We wrap up the module with a framework abbreviated as S-B-A-R that is often used in healthcare team situations to communicate about issues that must be solved....
Reading
7 個視頻 (總計 34 分鐘), 1 個閱讀材料, 1 個測驗
Video7 個視頻
Describing Metadata in Healthcare4分鐘
Data Provenance in Healthcare4分鐘
Components of Data Quality4分鐘
Data Validation Methods5分鐘
A Framework for Validating and Verifying Data6分鐘
The SBAR Methodology7分鐘
Reading1 個閱讀材料
Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research45分鐘
Quiz1 個練習
Module 2 Quiz30分鐘
3
完成時間(小時)
完成時間為 2 小時

Monitoring, Managing and Improving Data Quality

In this module, we focus on monitoring, managing, and improving data quality. You will be able to explain how to monitor data on a day-to-day basis to see that it remains consistent. You will explain how measures can help us monitor the patient health and the quality of care they receive over time. Also, you will be able to discuss establishing the culture of quality throughout the data lifecycle and improving data quality from the baseline by posing questions to determine a baseline of data quality. You will be able to manage data quality through expected and unexpected changes, along with tracking monitoring strategies along the data pipeline. After this module, you will be able to identify and fix common deficiencies in the data and implement change control systems as a monitoring tool. You’ll also recall several best practices you can apply on the job to monitor data quality in the healthcare field. ...
Reading
5 個視頻 (總計 27 分鐘), 2 個閱讀材料, 1 個測驗
Video5 個視頻
Establishing the Culture of Quality throughout the Data Lifecycle4分鐘
Improving Data Quality from the Baseline7分鐘
Managing Data Quality: Expected and Unexpected Changes5分鐘
Monitoring Strategies Along the Data Pipeline8分鐘
Reading2 個閱讀材料
Managing Chaos Part 1: Putting a Change Control Process in Place15分鐘
Managing Chaos Part 2: Change Control Decision Making15分鐘
Quiz1 個練習
Module 3 Quiz30分鐘
4
完成時間(小時)
完成時間為 5 小時

Sustaining Quality through Data Governance

IIn this module, we focus on sustaining quality through data governance. We will define data governance and consider why it matters in healthcare. You will discuss who makes up data governance committees, how these committees function relative to data analysts and describe how stakeholders work together to ensure data quality. You’ll be able to describe how high-quality data is a valuable asset for any business. You will also define data governance systems. You will recall several ways data can be repurposed and explain how data governance maintains data quality as it is repurposed for a use other than that for which it was originally gathered. In addition to your video lessons, you will read and discuss the article, Big Data, Bigger Outcomes and practice applying some of these important concepts....
Reading
6 個視頻 (總計 28 分鐘), 3 個閱讀材料, 2 個測驗
Video6 個視頻
Defining Data Governance in Healthcare5分鐘
Why Data Governance Matters in Healthcare8分鐘
Data Governance Committees in Healthcare6分鐘
Data Governance Systems in Healthcare5分鐘
Course Summary58
Reading3 個閱讀材料
Big Data, Bigger Outcomes30分鐘
Welcome to Peer Review Assignments!10分鐘
Why Doctors Hate Their Computers50分鐘
Quiz1 個練習
Module 4 Quiz30分鐘

講師

Avatar

Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

關於 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....

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

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心