課程信息

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中級

完成時間大約為11 小時

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

英語(English)

字幕:英語(English)

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11 小時

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

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
完成時間為 4 小時

Healthcare 101

In this module, you will be able to identify how biological and social systems are features of human well-being and health. You'll be able to describe important organizations in the US healthcare system and be able to discuss specific examples that document high cost and possible waste in the US healthcare system. You'll be able to identify and discuss the knowing-doing gap and be able to describe evidence-based efforts to transform fragmented care processes into coordinated patient-centered activities....
7 個視頻 (總計 52 分鐘), 1 個閱讀材料, 1 個測驗
7 個視頻
Module 1 Introduction3分鐘
Context of Human Systems and Human Biology9分鐘
Healthcare Systems8分鐘
Opportunities for Improvement: High Costs and Waste9分鐘
Opportunities for Improvement: Knowing Doing Gaps6分鐘
Opportunities for Improvement: Patient Management9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
完成時間為 4 小時

Concepts and Categories

In this module, you will be able to compare forms of communication and describe why people us ontologies to describe the world. You'll be able to describe the evolution of standardized railroads in the US and recognize why the evolution of railroad tracks also applies to medical terminologies. You'll be able to analyze a dataset with disease codes and also be able to select which codes refer to specific diseases. You'll be able to match different terminologies with different descriptive domains as well as be able to contrast the different ways of organizing information into hierarchies or other categories....
6 個視頻 (總計 41 分鐘), 1 個測驗
6 個視頻
Ontologies - Descriptions of the World7分鐘
Standard Terminologies7分鐘
Diagnoses: ICD-9/108分鐘
SNOMED, CPT, LOINC, Drug Terminologies7分鐘
Information Exchange Standards7分鐘
1 個練習
Module 2 Quiz30分鐘
3
完成時間為 3 小時

Healthcare Data

In this module, you will be able to identify different types of medical processes and be able to explain why specific data formats emerged from these varied processes. You'll be able to list numerous data types that are found within EHRs and link specific clinical processes that created these outputs. You'll be able to trace why various types of administrative data are collected and describe the value of this data for analytics. You'll be able to identify the common ways that gene sequences are stored in computer readable files and be able to describe how big data formats are different than common relational database technologies that require a lot of data modeling and planning....
6 個視頻 (總計 45 分鐘), 1 個測驗
6 個視頻
From Concepts to Data: Information to Knowledge5分鐘
Clinical Data10分鐘
Administrative Data8分鐘
Genomic Data8分鐘
Big Data7分鐘
1 個練習
Module 3 Quiz30分鐘
4
完成時間為 4 小時

Data and Conceptual Harmony

In this module, you will be able to tell leaders and coworkers why they should invest time in creating data dictionaries and other meta-data. You'll be able to describe why one burn registry had data fragmentation issues, and how a variety of standardization and centralization processes helped to achieve data harmony. You'll be able to answer why it is necessary to integrate data, even though the data is coming from disparate sources. You'll be able to perform data mapping as well as communicate the technical terms used to describe and perform record linkages....
7 個視頻 (總計 44 分鐘), 1 個閱讀材料, 2 個測驗
7 個視頻
Data Archaeology6分鐘
Data Harmonization7分鐘
Data Integration6分鐘
Data Mapping6分鐘
Entity Resolution12分鐘
Course Summary1分鐘
1 個閱讀材料
Welcome to Peer Review Assignments!10分鐘
1 個練習
Module 4 Quiz30分鐘

講師

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Brian Paciotti

Healthcare Data Scientist
Research IT

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

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