このコースについて
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中級レベル

約12時間で修了

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

英語

字幕:英語

100%オンライン

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

スケジュールに従って期限をリセットします。

中級レベル

約12時間で修了

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

英語

字幕:英語

シラバス - 本コースの学習内容

1
4時間で修了

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件のビデオ (合計52分), 1 reading, 1 quiz
7件のビデオ
Module 1 Introduction3 分
Context of Human Systems and Human Biology9 分
Healthcare Systems8 分
Opportunities for Improvement: High Costs and Waste9 分
Opportunities for Improvement: Knowing Doing Gaps6 分
Opportunities for Improvement: Patient Management9 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
4時間で修了

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件のビデオ (合計41分), 1 quiz
6件のビデオ
Ontologies - Descriptions of the World7 分
Standard Terminologies7 分
Diagnoses: ICD-9/108 分
SNOMED, CPT, LOINC, Drug Terminologies7 分
Information Exchange Standards7 分
1の練習問題
Module 2 Quiz30 分
3
3時間で修了

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件のビデオ (合計45分), 1 quiz
6件のビデオ
From Concepts to Data: Information to Knowledge5 分
Clinical Data10 分
Administrative Data8 分
Genomic Data8 分
Big Data7 分
1の練習問題
Module 3 Quiz30 分
4
4時間で修了

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件のビデオ (合計44分), 1 reading, 2 quizzes
7件のビデオ
Data Archaeology6 分
Data Harmonization7 分
Data Integration6 分
Data Mapping6 分
Entity Resolution12 分
Course Summary1 分
1件の学習用教材
Welcome to Peer Review Assignments!10 分
1の練習問題
Module 4 Quiz30 分

講師

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Brian Paciotti

Healthcare Data Scientist
Research IT

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

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....

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

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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