Über diesen Kurs
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Stufe „Mittel“

Ca. 12 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. 12 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
4 Stunden zum Abschließen

Healthcare 101

In this module, you will be able to identify how biological and social systems are features of human well-being and health. You'll be able to describe important organizations in the US healthcare system and be able to discuss specific examples that document high cost and possible waste in the US healthcare system. You'll be able to identify and discuss the knowing-doing gap and be able to describe evidence-based efforts to transform fragmented care processes into coordinated patient-centered activities.

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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
4 Stunden zum Abschließen

Concepts and Categories

In this module, you will be able to compare forms of communication and describe why people us ontologies to describe the world. You'll be able to describe the evolution of standardized railroads in the US and recognize why the evolution of railroad tracks also applies to medical terminologies. You'll be able to analyze a dataset with disease codes and also be able to select which codes refer to specific diseases. You'll be able to match different terminologies with different descriptive domains as well as be able to contrast the different ways of organizing information into hierarchies or other categories.

...
6 Videos (Gesamt 41 min), 1 Quiz
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
3 Stunden zum Abschließen

Healthcare Data

In this module, you will be able to identify different types of medical processes and be able to explain why specific data formats emerged from these varied processes. You'll be able to list numerous data types that are found within EHRs and link specific clinical processes that created these outputs. You'll be able to trace why various types of administrative data are collected and describe the value of this data for analytics. You'll be able to identify the common ways that gene sequences are stored in computer readable files and be able to describe how big data formats are different than common relational database technologies that require a lot of data modeling and planning.

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6 Videos (Gesamt 45 min), 1 Quiz
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
4 Stunden zum Abschließen

Data and Conceptual Harmony

In this module, you will be able to tell leaders and coworkers why they should invest time in creating data dictionaries and other meta-data. You'll be able to describe why one burn registry had data fragmentation issues, and how a variety of standardization and centralization processes helped to achieve data harmony. You'll be able to answer why it is necessary to integrate data, even though the data is coming from disparate sources. You'll be able to perform data mapping as well as communicate the technical terms used to describe and perform record linkages.

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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

Dozent

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Brian Paciotti

Healthcare Data Scientist
Research IT

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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