Laura K. Wiley

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 Biomedical 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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Clinical Data Models and Data Quality Assessments (Coursera)

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 [...]

Introduction to Clinical Data Science (Coursera)

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming [...]

Clinical Natural Language Processing (Coursera)

May 23rd 2022
Clinical Natural Language Processing (Coursera)
Course Auditing
This course teaches you the fundamentals of clinical natural language processing (NLP). In this course you will learn the basic linguistic principals underlying NLP, as well as how to write regular expressions and handle text data in R. You will also learn practical techniques for text processing to be [...]

Predictive Modeling and Transforming Clinical Practice (Coursera)

This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models.

Identifying Patient Populations (Coursera)

This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data [...]