Об этом курсе
Специализация
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Часов на завершение

Прибл. 9 часа на выполнение

Предполагаемая нагрузка: 4 weeks of study, 2-5 hours/week...
Доступные языки

Английский

Субтитры: Английский
Специализация
100% онлайн

100% онлайн

Начните сейчас и учитесь по собственному графику.
Гибкие сроки

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Промежуточный уровень

Промежуточный уровень

Часов на завершение

Прибл. 9 часа на выполнение

Предполагаемая нагрузка: 4 weeks of study, 2-5 hours/week...
Доступные языки

Английский

Субтитры: Английский

Программа курса: что вы изучите

Неделя
1
Часов на завершение
3 ч. на завершение

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 видео ((всего 58 мин.)), 1 материал для самостоятельного изучения, 1 тест
Video10 видео
Module 1 Introduction52
What is a Data Model?6мин
Speaking the Same Language and Capturing the Context6мин
The Uniqueness of Data Models as Used in Healthcare6мин
Path to Value: Operational Systems to Actionable Information, Part 17мин
Path to Value: Operational Systems to Actionable Information, Part 26мин
Data Flows among Systems and Keeping Systems Connected7мин
What We're Measuring in Healthcare Data Models, Part 17мин
What We're Measuring in Healthcare Data Models, Part 25мин
Reading1 материал для самостоятельного изучения
A Note From UC Davis10мин
Quiz1 практическое упражнение
Module 1 Quiz30мин
Неделя
2
Часов на завершение
2 ч. на завершение

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 видео ((всего 33 мин.)), 1 тест
Video6 видео
Selecting a Data Model9мин
The Hierarchical Model and Supported Use Cases5мин
The Relational Schema and Supported Use Cases6мин
The Star Schema and Supported Use Cases6мин
Comparing and Contrasting Healthcare Data Models5мин
Quiz1 практическое упражнение
Module 2 Quiz30мин
Неделя
3
Часов на завершение
3 ч. на завершение

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 видео ((всего 41 мин.)), 1 тест
Video5 видео
Purpose, Use Cases, and Measurements in Healthcare Data8мин
Normalization of Healthcare Data6мин
Integrating Healthcare Data Across Sources and Systems10мин
Common Identifiers and The Master Patient Index (MPI)14мин
Quiz1 практическое упражнение
Module 3 Quiz30мин
Неделя
4
Часов на завершение
5 ч. на завершение

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 видео ((всего 27 мин.)), 3 материалов для самостоятельного изучения, 2 тестов
Video5 видео
Data Quality: Driven by Questions We Ask and Levels of Use8мин
Verification and Validation of Data for Consistency: Finding Data Errors8мин
Data Mapping7мин
Course Summary1мин
Reading3 материала для самостоятельного изучения
Data Mapping article from AHIMA30мин
What Mapping and Modeling Means to the Health Information Management Professional30мин
Welcome to Peer Review Assignments!10мин
Quiz1 практическое упражнение
Module 4 Quiz30мин

Преподаватель

Avatar

Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

О University of California, 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....

О специализации ''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

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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