К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Extract, Map, and Analyze Clinical Data · LearnSpace
Назад в каталог
courseraАнализ данных

Extract, Map, and Analyze Clinical Data

Курс от Coursera
Начальный≈ 3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Transform raw clinical data into actionable insights that improve patient care. This course equips healthcare data analysts with foundational skills to navigate complex healthcare data systems effectively. This Short Course was created to help data analysis professionals accomplish systematic clinical data extraction and mapping that directly supports patient outcome improvements. By completing this course, you'll be able to confidently select appropriate data elements from healthcare dictionaries, execute reliable data extraction procedures, and create clear documentation that ensures data integrity throughout your analytical pipeline. By the end of this course, you will be able to: • Identify required data elements from healthcare data dictionaries for specific clinical questions • Apply standardized procedures to extract data exports from Epic Clarity and similar clinical systems • Analyze and document source-to-target mappings with complete transparency This course is unique because it combines hands-on practice with real Epic Clarity workflows and provides practical templates used in actual healthcare analytics environments. To be successful in this project, you should have a background in basic data concepts and familiarity with healthcare terminology.

Навыки, которые вы освоите

Data MappingAnalyticsExtract, Transform, LoadClinical Data ManagementData Import/ExportData DictionaryData TransformationPatient-centered CareData AnalysisElectronic Medical RecordEpic EMRData IntegrityData AccessClinical Documentation

Программа курса

3 модулей · 19 учебных материалов

01Module 1: Data Dictionary Navigation - Detailed Content6 материалов
Why Data Dictionary Mastery Transforms Healthcare AnalyticsВидеоHealthcare Data Dictionary Fundamentals and StructureЧтениеEssential Components of Clinical Data DictionariesВидеоNavigating Healthcare Data Dictionaries for Clinical AnalysisDIALOGUE

Учитесь у экспертов

Professionals in the Industry

Преподаватель курса

Extract, Map, and Analyze Clinical Data
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 3 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Healthcare Data Dictionary Navigation for Cardiac Surgery Readmission AnalysisЗадание
Data Dictionary Navigation Knowledge CheckЗадание
02Module 2: Data Extraction Procedures - Detailed Content6 материалов
Professional Challenge - Critical Data Extraction DecisionDIALOGUE Standardized Data Extraction Principles in HealthcareВидео Epic Clarity Extraction Methods and Best PracticesЧтениеPodcast: Epic Clarity Data Extraction Best Practices: From Setup to ExportЧтениеExecute Complete Clinical Data Extraction WorkflowЗадание Data Extraction Procedures AssessmentЗадание
03Module 3: Source-to-Target Mapping - Detailed Content7 материалов
Understanding the Critical Role of Data Mapping in Healthcare Analytics DIALOGUE Source-to-Target Mapping Documentation StandardsЧтение Essential Elements of Healthcare Data MappingВидео Creating Professional Source-to-Target DocumentationВидеоHealthcare Data Mapping Implementation LabЛабораторная Source-to-Target Mapping Knowledge Check ЗаданиеClinical Data Mapping Mastery AssessmentЗадание