Predictive Modeling and Transforming Clinical Practice

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Predictive Modeling and Transforming Clinical Practice

This course is part of Clinical Data Science Specialization

Instructor: Laura K. Wiley, PhD

2,856 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Model Deployment

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments¹

AI Graded see disclaimer

Taught in English

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Build your subject-matter expertise

This course is part of the Clinical Data Science Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

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.

Learn about the many types of clinical prediction models that exist and how they are put into practice.

What's included

8 videos4 readings1 assignment

8 videos Total 27 minutes

Welcome to Predictive Modeling and Transforming Clinical Practice 2 minutes
Setting Expectations 3 minutes
Introduction to Clinical Prediction Models 8 minutes
Types of Clinical Prediction Models 1 minute
Clinical Prediction Models 6 minutes
Operational Prediction Models 2 minutes
Financial Prediction Models 2 minutes
Developing Clinical Prediction Models 4 minutes

4 readings Total 30 minutes

Get help and meet other learners in this course. Join your discussion forums! 5 minutes
Introduction to Specialization Instructors 5 minutes
Course Policies 5 minutes
Accessing Course Data and Technology Platform 15 minutes

1 assignment Total 30 minutes

Week 1 Assessment 30 minutes

Understand how qualitative methods can be used to develop clinical prediction models that are more likely to transform clinical practice.

What's included

9 videos1 assignment1 peer review

9 videos Total 46 minutes

Ensuring Model Usability 5 minutes
Introduction to Qualitative Methods 3 minutes
Qualitative Methods: Choosing the Right Tool 4 minutes
Qualitative Methods: Population Selection 8 minutes
Qualitative Methods: Data Collection 11 minutes
Qualitative Methods: Data Analysis 5 minutes
Qualitative Methods for Transforming Clinical Practice 4 minutes
Introduction to Workflow Observations 4 minutes
Qualitative Project Introduction 2 minutes

1 assignment Total 30 minutes

Week 2 Assessment 30 minutes

1 peer review Total 90 minutes

New Peer Review 90 minutes

Learn about the different tools that are used to implement clinical prediction models in practice and the factors that affect implementations over time.

What's included

5 videos1 assignment

5 videos Total 28 minutes

Introduction to Clinical Prediction Model Implementation and Sustainability 1 minute
Methods of Changing Clinical Practice 5 minutes
Fundamentals of Clinical Decision Support 10 minutes
Clinical Decision Support for Prediction Models 4 minutes
Sustainability of Clinical Prediction Models 7 minutes

1 assignment Total 30 minutes

Week 3 Assessment 30 minutes

Understand how the different types of clinical data can be used in prediction models and learn how choices made during model construction affect the utility of the model in practice.

What's included

8 videos2 readings2 assignments

8 videos Total 18 minutes

Building Prediction Models 1 minute
Clinical Data for Prediction Models 1 minute
Clinical Prediction Models: Encounters 3 minutes
Clinical Prediction Models: Billing Data 1 minute
Clinical Prediction Models: Laboratory Data 3 minutes
Clinical Prediction Models: Medications 4 minutes
Clinical Prediction Models: Clinical Observations 2 minutes
Clinical Prediction Models: Demographics, Health, Social, & Family History 3 minutes

2 readings Total 62 minutes

Building a Clinical Prediction Model 60 minutes
Note about the Assessment 2 minutes

2 assignments Total 60 minutes

Week 4 Assessment 30 minutes
Building a Clinical Prediction Model - Try it Out For Yourself Exercise 30 minutes

Put your new skills to the test - develop a clinical prediction model to asses risk of death during a stay in an Intensive Care Unit (ICU) stay.

What's included

1 video1 peer review

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Instructor

Laura K. Wiley, PhD

University of Colorado System

6 Courses 35,355 learners

Offered by

University of Colorado System

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.