Über diesen Kurs
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Stufe „Mittel“

Ca. 10 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Mittel“

Ca. 10 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
3 Stunden zum Abschließen

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.

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10 Videos (Gesamt 58 min), 1 Lektüre, 1 Quiz
10 Videos
Module 1 Introduction52
What is a Data Model?6m
Speaking the Same Language and Capturing the Context6m
The Uniqueness of Data Models as Used in Healthcare6m
Path to Value: Operational Systems to Actionable Information, Part 17m
Path to Value: Operational Systems to Actionable Information, Part 26m
Data Flows among Systems and Keeping Systems Connected7m
What We're Measuring in Healthcare Data Models, Part 17m
What We're Measuring in Healthcare Data Models, Part 25m
1 Lektüre
A Note From UC Davis10m
1 praktische Übung
Module 1 Quiz30m
Woche
2
2 Stunden zum Abschließen

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.

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6 Videos (Gesamt 33 min), 1 Quiz
6 Videos
Selecting a Data Model9m
The Hierarchical Model and Supported Use Cases5m
The Relational Schema and Supported Use Cases6m
The Star Schema and Supported Use Cases6m
Comparing and Contrasting Healthcare Data Models5m
1 praktische Übung
Module 2 Quiz30m
Woche
3
3 Stunden zum Abschließen

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.

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5 Videos (Gesamt 41 min), 1 Quiz
5 Videos
Purpose, Use Cases, and Measurements in Healthcare Data8m
Normalization of Healthcare Data6m
Integrating Healthcare Data Across Sources and Systems10m
Common Identifiers and The Master Patient Index (MPI)14m
1 praktische Übung
Module 3 Quiz30m
Woche
4
5 Stunden zum Abschließen

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.

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5 Videos (Gesamt 27 min), 3 Lektüren, 2 Quiz
5 Videos
Data Quality: Driven by Questions We Ask and Levels of Use8m
Verification and Validation of Data for Consistency: Finding Data Errors8m
Data Mapping7m
Course Summary1m
3 Lektüren
Data Mapping article from AHIMA30m
What Mapping and Modeling Means to the Health Information Management Professional30m
Welcome to Peer Review Assignments!10m
1 praktische Übung
Module 4 Quiz30m
3.8
3 BewertungenChevron Right

Top reviews from Healthcare Data Models

von RTMar 5th 2019

Great examples and reinforces what the goals of each module are.

Dozent

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Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

Über 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....

Über die Spezialisierung 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

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