Über diesen Kurs

9,000 kürzliche Aufrufe
Zertifikat zur Vorlage
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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
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Stufe „Mittel“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

University of California, Davis-Logo

University of California, Davis

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

3 Stunden zum Abschließen

Introduction to Healthcare Data Models

3 Stunden zum Abschließen
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

Woche 2

2 Stunden zum Abschließen

Data Models and Use Cases They Support

2 Stunden zum Abschließen
6 Videos (Gesamt 33 min)
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

Woche 3

3 Stunden zum Abschließen

Working with Data across Systems

3 Stunden zum Abschließen
5 Videos (Gesamt 41 min)
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

Woche 4

5 Stunden zum Abschließen

Improving the Quality of Healthcare Data

5 Stunden zum Abschließen
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

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Über den 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

Häufig gestellte Fragen

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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