Clinical Data Models and Data Quality Assessments

Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist!This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner's existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data.By completing this specialization you will know how to

Created by: Laura K. Wiley

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Overall Score : 82 / 100

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Course Description

This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity-Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model.

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Instructor Details

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Dr. Wiley develops methods for using data from electronic health records for precision medicine discovery and implementation. She developed computational phenotyping algorithms for use in EHR-linked biobanks, investigated new algorithms for precision dosing of warfarin in African Americans, and has served as the lead informatician on an NIH Cancer Moonshot-funded project to create a comprehensive tobacco cessation service at the University of Colorado Cancer Center. She is a principle investigator in the Colorado Center for Personalized Medicine and an Assistant Professor in the Division of medical Informatics and Personalized Medicine at the University of Colorado Anschutz Medical Campus. She has served as an ex officio member of the American Medical Informatics Association Board of Directors and is Vice-Chair of the AMIA 2019 Annual Symposium.

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More courses by Laura K. Wiley

Introduction to Clinical Data Science

Free

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Reviews

4.1

10 total reviews

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By M. B T on 26-Aug-19

Contenu très intéressant dans l'ensemble, découverte des bases publiques et des concepts construits autour de ces éléments de la connaissance. Cette formation serait parfaite si la présentation était plus claire, en tout cas pour un français, moins répétitive et plus approfondie sur certains points. Les perspectives en connaissance partagée et connaissance induite (ML) seraient à explorer.

By VIJAYA G on 8-Apr-19

Found very difficult to finish.

By William H on 16-Mar-19

Material was presented fairly well for the most part. The lecture videos had some small editing errors which looked a bit unprofessional. The workload was also a bit unbalanced - there was very little structured hands-on training prior to the capstone project which can appear daunting at first.

By Ling C on 1-Oct-19

Great course. Would be great if lecture slides can be provided.

By Allison B on 25-Jul-19

Teaching was excellent, but I feel that the peer reviewed feedback model for the final project may not be the most helpful since they're the only ones looking at your work (as opposed to an instructor). Additionally, there were quite a few typos in the quizzes

By qianmengxiao on 24-Jun-19

Good course, but the video is a bit too long, split into shorter video course

By Murali K on 5-Nov-19

What a great course!! Kudos to the professor for being so detail oriented!! I learned a great deal about the clinical data models from this course!!

By Vu T T T on 14-Sep-19

Good instructor who took time to explain and walked through each steps of the ETL process. Highly recommended.

By Angela B on 14-May-19

Great course.

By Mor K on 22-Jul-19

Gives a great understanding of ETL and the surrounding concepts from Zero. I personally found that a little boring, but for a total newbie to data and computers this is a perfect course.