- Level Professional
- المدة 13 ساعات hours
- الطبع بواسطة Northeastern University
-
Offered by
عن
The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring that we focus our investment on solving problems that impact the bottom line. Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry. By the end of this course you will be able to: 1. Determine the factors involved in decision support that can improve business performance across the provider/payer ecosystem. 2. Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context. 3. Identify differences in methods and techniques in order to appropriately apply to pain points using case studies. 4. Critically assess the opportunities to leverage decision support in adapting to trends in the industry.الوحدات
Course Overview
1
Videos
- Course Overview
Module 1 Introduction
1
Videos
- Introduction to Module 1
Operationalizing Consumerism and a New Supply Chain
1
Assignment
- Check Your Knowledge
5
Videos
- Consumerism, Supply Chain and Social & Situational Determinants
- Operationalizing Consumerism Using ML and AI
- Interview with Caitlyn
- Operationalizing a New Supply Chain
- Interview with Peter Dunphy
Machine Learning, Artificial Intelligence and Decision Support
1
Assignment
- Check Your Knowledge
1
Discussions
- Digital Transformation in the Healthcare Ecosystem
1
Videos
- Machine Learning, Artificial Intelligence, and Decision Support
1
Readings
- Healthcare Ecosystem Readings
Journey Mapping
1
Videos
- Journey Mapping and Pain Points
1
Readings
- Healthcare Consumer Journey Mapping
Patient Monitoring
1
Assignment
- Check Your Knowledge
1
Discussions
- Innovations in Remote Patient Monitoring
1
Videos
- Patient Monitoring
1
Readings
- TED Talk on an innovation in Remote Patient Monitoring
Voices from the Industry
1
Videos
- Interview with Cait Larson from Dynamicare
Machine Learning in Practice
2
Assignment
- Check Your Knowledge
- Check Your Knowledge
4
Videos
- Differential Diagnosis
- Care Management
- Preventive Screening
- Avoidable Readmissions
1
Readings
- Innovations and Results in Patient Outreach
Module 1 Graded Quiz
1
Assignment
- Module 1 (Graded)
Module 2 Introduction
1
Assignment
- Check Your Knowledge
2
Videos
- Introduction to Module 2
- Predictive Modeling
Linear Regression
1
Videos
- Linear Regression
1
Readings
- Linear Regression Explained
Disease Burden
1
Assignment
- Check Your Knowledge
1
Videos
- Disease Burden as a Predictor of Cost
Machine Learning
1
Assignment
- Check Your Knowledge
1
Discussions
- Artificial Intelligence in the Healthcare Industry
1
Videos
- Machine Learning
1
Readings
- Using AI to Diagnose Disease
Data Sourcing and Enrichment
1
Assignment
- Check Your Knowledge
2
Videos
- Data Sourcing
- Data Enrichment
Provider Taxonomies and Relationships
1
Assignment
- Check Your Knowledge
1
Videos
- Provider Taxonomies and Relationships
Predictive Modeling Process
1
Videos
- Predictive Modeling Process
Journey Map Assignment
1
Peer Review
- Journey Map Assignment (Graded)
Module 3 Introduction
1
Assignment
- Check Your Knowledge
2
Videos
- Introduction to Module 3
- Analytic Maturity Model
Addressable Opportunity
1
Assignment
- Check Your Knowledge
1
Discussions
- Predictive Modeling to Enable a Different Health Outcome
2
Videos
- Identifying Historic Addressable Opportunity
- Predicting Addressable Opportunity
Predictive Accuracy
2
Assignment
- Check Your Knowledge
- Check Your Knowledge
2
Videos
- Measuring Predictive Accuracy
- Making Recommendations
1
Readings
- The Future of Predictive Analytics in Healthcare
Voices from the Industry
1
Videos
- Voices from the Industry with George "Russ" Moran
Integration
1
Assignment
- Check Your Knowledge
2
Videos
- Integration and Orchestration
- Operational Engagement Framework
Module 3 Quiz
1
Assignment
- Module 3 (Graded)
Module 4 Introduction
1
Videos
- Introduction to Module 4
Operational Entity Relationship Model
1
Assignment
- Check Your Knowledge
1
Discussions
- Reflection Discussion
1
Videos
- Operational Entity Relationship Model
Utilizing Data
1
Assignment
- Check Your Knowledge
2
Videos
- Using Other Administrative Data to Target Avoidable Utilization
- Targeting High Value Member Patients Using Consumer Data
1
Readings
- Utilizing Consumer Data
Prescriptive Analytics
1
Assignment
- Check Your Knowledge
2
Videos
- Recommending a Program for Care Management
- Recommending a Channel for Member Engagement
Voices from the Industry
1
Videos
- Interview with Peter Dunphy from Perfect Health
Embedding and Deploying Decision Support
1
Assignment
- Check Your Knowledge
2
Videos
- Embedding Decision Support with your Existing Technology Footprint
- Deploying Decision Support Beyond the Enterprise to the Consumer
1
Readings
- Misconceptions in the Industry
Final Student Presentation
1
Peer Review
- Final Student Presentation (Graded)
Auto Summary
Unlock the potential of AI and Machine Learning in healthcare with this professional course. Led by Coursera, it spans four detailed modules covering decision support, journey mapping, predictive analytics, and integration strategies. Over 780 minutes, you'll learn to enhance business performance, identify application opportunities, and leverage decision support to adapt to industry trends. Ideal for healthcare leaders, it offers both Starter and Professional subscription options.

Craig Johnson