About this Course

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Learner Career Outcomes

50%

started a new career after completing these courses

50%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
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Flexible deadlines
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Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English

What you will learn

  • Determine the factors involved in decision support that can improve business performance across the provider/payer ecosystem

  • Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context

  • Identify differences in methods and techniques in order to appropriately apply to pain points using case studies

  • Critically assess the opportunities to leverage decision support in adapting to trends in the industry

Skills you will gain

Predictive AnalyticsAnalyticsDecision Support SystemWorkflow

Learner Career Outcomes

50%

started a new career after completing these courses

50%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English

Offered by

Northeastern University  logo

Northeastern University

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Decision Support and Use Cases

3 hours to complete
15 videos (Total 106 min), 4 readings, 6 quizzes
15 videos
Introduction to Module 159s
Consumerism, Supply Chain and Social & Situational Determinants2m
Operationalizing Consumerism Using ML and AI1m
Interview with Caitlyn19m
Operationalizing a New Supply Chain1m
Interview with Peter Dunphy15m
Machine Learning, Artificial Intelligence, and Decision Support6m
Journey Mapping and Pain Points6m
Patient Monitoring4m
Interview with Cait Larson from Dynamicare19m
Differential Diagnosis6m
Care Management4m
Preventive Screening6m
Avoidable Readmissions6m
4 readings
Healthcare Ecosystem Readings10m
Healthcare Consumer Journey Mapping10m
TED Talk on an innovation in Remote Patient Monitoring10m
Innovations and Results in Patient Outreach10m
6 practice exercises
Check Your Knowledge3m
Check Your Knowledge1m
Check Your Knowledge6m
Check Your Knowledge3m
Check Your Knowledge4m
Module 1 (Graded)30m
Week
2

Week 2

3 hours to complete

Predictive Modeling Basics

3 hours to complete
9 videos (Total 47 min), 2 readings, 6 quizzes
9 videos
Predictive Modeling6m
Linear Regression5m
Disease Burden as a Predictor of Cost5m
Machine Learning6m
Data Sourcing5m
Data Enrichment5m
Provider Taxonomies and Relationships5m
Predictive Modeling Process6m
2 readings
Linear Regression Explained5m
Using AI to Diagnose Disease5m
5 practice exercises
Check Your Knowledge2m
Check Your Knowledge2m
Check Your Knowledge8m
Check Your Knowledge6m
Check Your Knowledge6m
Week
3

Week 3

2 hours to complete

Consumerism and Operationalization

2 hours to complete
9 videos (Total 53 min), 1 reading, 6 quizzes
9 videos
Analytic Maturity Model5m
Identifying Historic Addressable Opportunity5m
Predicting Addressable Opportunity8m
Measuring Predictive Accuracy9m
Making Recommendations5m
Voices from the Industry with George "Russ" Moran7m
Integration and Orchestration4m
Operational Engagement Framework6m
1 reading
The Future of Predictive Analytics in Healthcare15m
6 practice exercises
Check Your Knowledge4m
Check Your Knowledge4m
Check Your Knowledge4m
Check Your Knowledge4m
Check Your Knowledge4m
Module 3 (Graded)30m
Week
4

Week 4

4 hours to complete

Advanced Topics in Operationalization

4 hours to complete
9 videos (Total 65 min), 2 readings, 5 quizzes
9 videos
Operational Entity Relationship Model7m
Using Other Administrative Data to Target Avoidable Utilization8m
Targeting High Value Member Patients Using Consumer Data5m
Recommending a Program for Care Management7m
Recommending a Channel for Member Engagement6m
Interview with Peter Dunphy from Perfect Health15m
Embedding Decision Support with your Existing Technology Footprint6m
Deploying Decision Support Beyond the Enterprise to the Consumer6m
2 readings
Utilizing Consumer Data10m
Misconceptions in the Industry10m
4 practice exercises
Check Your Knowledge6m
Check Your Knowledge4m
Check Your Knowledge6m
Check Your Knowledge2m

Reviews

TOP REVIEWS FROM BUSINESS APPLICATION OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE IN HEALTHCARE

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About the Healthcare Trends for Business Professionals Specialization

This Specialization will provide learners with the knowledge and skills to recognize key shifts in the industry and to have an agile perspective on how these shifts might impact their organizations. Learners will be exposed to the key drivers in the global healthcare industry today so they might apply what they have learned to help their organizations....
Healthcare Trends for Business Professionals

Frequently Asked Questions

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