Über diesen Kurs

18,876 kürzliche Aufrufe
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100 % online
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Stufe „Mittel“
Ca. 14 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. 14 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

4 Stunden zum Abschließen

Healthcare 101

4 Stunden zum Abschließen
7 Videos (Gesamt 52 min), 1 Lektüre, 1 Quiz
7 Videos
Module 1 Introduction3m
Context of Human Systems and Human Biology9m
Healthcare Systems8m
Opportunities for Improvement: High Costs and Waste9m
Opportunities for Improvement: Knowing Doing Gaps6m
Opportunities for Improvement: Patient Management9m
1 Lektüre
A Note From UC Davis10m
1 praktische Übung
Module 1 Quiz30m
Woche
2

Woche 2

4 Stunden zum Abschließen

Concepts and Categories

4 Stunden zum Abschließen
6 Videos (Gesamt 41 min)
6 Videos
Ontologies - Descriptions of the World7m
Standard Terminologies7m
Diagnoses: ICD-9/108m
SNOMED, CPT, LOINC, Drug Terminologies7m
Information Exchange Standards7m
1 praktische Übung
Module 2 Quiz30m
Woche
3

Woche 3

3 Stunden zum Abschließen

Healthcare Data

3 Stunden zum Abschließen
6 Videos (Gesamt 45 min)
6 Videos
From Concepts to Data: Information to Knowledge5m
Clinical Data10m
Administrative Data8m
Genomic Data8m
Big Data7m
1 praktische Übung
Module 3 Quiz30m
Woche
4

Woche 4

4 Stunden zum Abschließen

Data and Conceptual Harmony

4 Stunden zum Abschließen
7 Videos (Gesamt 44 min), 1 Lektüre, 2 Quiz
7 Videos
Data Archaeology6m
Data Harmonization7m
Data Integration6m
Data Mapping6m
Entity Resolution12m
Course Summary1m
1 Lektüre
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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