Informações sobre o curso
5.0
1 classificações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

Horas para completar

Aprox. 9 horas para completar

Sugerido: 4 weeks of study, 2-5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

Horas para completar

Aprox. 9 horas para completar

Sugerido: 4 weeks of study, 2-5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
3 horas para concluir

Introduction to Healthcare Data Models

In this module, you will be able to define the foundational terms used in discussing and building healthcare data models. You'll be able to describe the conceptual model showing how data flows from operations to analysis. You will compare and contrast common data models used in healthcare data systems. You will also be able to identify common measures used in healthcare data analysis. ...
Reading
10 vídeos (total de (Total 58 mín.) min), 1 leitura, 1 teste
Video10 videos
Module 1 Introduction52s
What is a Data Model?6min
Speaking the Same Language and Capturing the Context6min
The Uniqueness of Data Models as Used in Healthcare6min
Path to Value: Operational Systems to Actionable Information, Part 17min
Path to Value: Operational Systems to Actionable Information, Part 26min
Data Flows among Systems and Keeping Systems Connected7min
What We're Measuring in Healthcare Data Models, Part 17min
What We're Measuring in Healthcare Data Models, Part 25min
Reading1 leituras
A Note From UC Davis10min
Quiz1 exercício prático
Module 1 Quiz30min
Semana
2
Horas para completar
2 horas para concluir

Data Models and Use Cases They Support

In this module, you'll be able to describe the Star Schema Data Model, distinguish it from the hierarchical and relational model, list some pros and cons and explain situations in which it could be appropriately used. You should also recognize when another type of data model might be better suited to a particular use case....
Reading
6 vídeos (total de (Total 33 mín.) min), 1 teste
Video6 videos
Selecting a Data Model9min
The Hierarchical Model and Supported Use Cases5min
The Relational Schema and Supported Use Cases6min
The Star Schema and Supported Use Cases6min
Comparing and Contrasting Healthcare Data Models5min
Quiz1 exercício prático
Module 2 Quiz30min
Semana
3
Horas para completar
3 horas para concluir

Working with Data across Systems

In this module, you'll be able to explain how information is stored in data models and how we assemble relevant information to analyze an interesting problem that can improve our healthcare systems. We'll review how we normalize data and how that facilitates analysis. We'll go on to discuss how to bring together information from different sources and across various functional systems. We will also consider how to measure it accurately. ...
Reading
5 vídeos (total de (Total 41 mín.) min), 1 teste
Video5 videos
Purpose, Use Cases, and Measurements in Healthcare Data8min
Normalization of Healthcare Data6min
Integrating Healthcare Data Across Sources and Systems10min
Common Identifiers and The Master Patient Index (MPI)14min
Quiz1 exercício prático
Module 3 Quiz30min
Semana
4
Horas para completar
5 horas para concluir

Improving the Quality of Healthcare Data

In this module, you will be able to examine the data that goes into these models and explain how we work with the information that comes from the practice and business of medicine. We will transition from raising the data quality to focusing on finding and correcting data errors by validation and verification. You will also be able to describe several ways data is checked to eliminate errors and improve data quality. ...
Reading
5 vídeos (total de (Total 27 mín.) min), 3 leituras, 2 testes
Video5 videos
Data Quality: Driven by Questions We Ask and Levels of Use8min
Verification and Validation of Data for Consistency: Finding Data Errors8min
Data Mapping7min
Course Summary1min
Reading3 leituras
Data Mapping article from AHIMA30min
What Mapping and Modeling Means to the Health Information Management Professional30min
Welcome to Peer Review Assignments!10min
Quiz1 exercício prático
Module 4 Quiz30min

Instrutores

Avatar

Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

Sobre Universidade da Califórnia, Davis

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....

Sobre o Programa de cursos integrados Health Information Literacy for Data Analytics

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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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