University of California, Davis - Healthcare Data Literacy
- Offered byCoursera
Healthcare Data Literacy at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Healthcare Data Literacy at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 4 in the Health Information Literacy for Data Analytics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 13 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Healthcare Data Literacy at Coursera Course details
- This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care. We'll learn about the many facets to consider in healthcare and determine the value and growing need for data analysts in healthcare. We'll learn about the Triple Aim and other data-enabled healthcare drivers. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation. We'll discuss the common clinical representations of data in healthcare systems, including ICD-10, SNOMED, LOINC, drug vocabularies (e.g., RxNorm), and clinical data standards. We?ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions. We will analyze various types and sources of healthcare data, including clinical, operational claims, and patient generated data as well as differentiate unstructured, semi-structured and structured data within health data contexts. We'll examine the inner workings of data and conceptual harmony offer some solutions to the data integration problem by defining some important concepts, methods, and applications that are important to this domain.
Healthcare Data Literacy at Coursera Curriculum
Healthcare 101
Course Introduction
Module 1 Introduction
Context of Human Systems and Human Biology
Healthcare Systems
Opportunities for Improvement: High Costs and Waste
Opportunities for Improvement: Knowing Doing Gaps
Opportunities for Improvement: Patient Management
A Note From UC Davis
Module 1 Quiz
Concepts and Categories
Module 2 Introduction
Ontologies - Descriptions of the World
Standard Terminologies
Diagnoses: ICD-9/10
SNOMED, CPT, LOINC, Drug Terminologies
Information Exchange Standards
Module 2 Quiz
Healthcare Data
Module 3 Introduction
From Concepts to Data: Information to Knowledge
Clinical Data
Administrative Data
Genomic Data
Big Data
Module 3 Quiz
Data and Conceptual Harmony
Module 4 Introduction
Data Archaeology
Data Harmonization
Data Integration
Data Mapping
Entity Resolution
Course Summary
Welcome to Peer Review Assignments!
Module 4 Quiz
Healthcare Data Literacy at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?
Useful Links
Know more about Coursera
Know more about Programs
- Medical Courses
- Public Health & Management
- Hospital Management Course
- Medical Transcription
- Perfusion Technology
- Diabetology
- Forensic Medical Science
- Dialysis Technology
- Cardiovascular Technology
- Cath Lab Technology
- BSc Operation Theatre Technology
- BSc in Perfusion Technology
- Physician Assistant
- BSc Physician Assistant
- BSc in Respiratory Care Technology