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Healthcare Data Literacy(으)로 돌아가기

캘리포니아 대학교 데이비스 캠퍼스의 Healthcare Data Literacy 학습자 리뷰 및 피드백

4.5
별점
89개의 평가
27개의 리뷰

강좌 소개

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....

최상위 리뷰

JA

2019년 6월 11일

This course is well loaded with information that is useful for data scientists (or intending data scientists) in healthcare. The instructor did a wonderful job.

KB

2020년 1월 12일

Excellent introduction to the context of USA medical care state of business from politeconomy point of view.

필터링 기준:

Healthcare Data Literacy의 27개 리뷰 중 26~27

교육 기관: Ann D B

2022년 3월 23일

The content of the course was good and provided a introduction to concepts in healthcare data analytics. I had expected more focus on concepts related to data modeling and software used in analytics processes, but maybe these topics are addressed in later courses in the series. This is less a criticism of the course itself and more of the Coursera approach in general, but I did not like the peer-reviewed assignments. I didn't mind doing the assignments themselves. I found the assignments somewhat interesting, but I didn't like the fact that obtaining a final grade was dependent on receiving feedback from other learners and waiting for others to submit their reviews. I prefer a course where I can complete the work entirely on my own time. I very much disliked having to log back in day after day to see if anyone had submitted an assignment that I could grade.

교육 기관: Matthias U

2022년 1월 26일

Content seems a little bit outdated. A refresh would be good.