このコースについて
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中級レベル

約11時間で修了

推奨:5 hours/week...

英語

字幕:英語

学習内容

  • Check

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

  • Check

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

  • Check

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

  • Check

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

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約11時間で修了

推奨:5 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
3時間で修了

Decision Support and Use Cases

Rapid changes in technology are impacting every facet of modern society, and the healthcare industry is no exception. Navigating these changes is crucial, whether you are currently working in the industry, hoping to step into a new role, or are simply interested in how technology is being used in healthcare. No doubt you have heard the terms, “machine learning” and “artificial intelligence” more frequently in the last few years - but what does this mean for you, or the healthcare industry in general? Keeping up with the changing trends, examining the potential use of decision support, and identifying some of the pain points that can be addressed, are some of the topics we’ll be discussing in this Module....
15件のビデオ (合計106分), 4 readings, 6 quizzes
15件のビデオ
Introduction to Module 159
Consumerism, Supply Chain and Social & Situational Determinants2 分
Operationalizing Consumerism Using ML and AI1 分
Interview with Caitlyn19 分
Operationalizing a New Supply Chain1 分
Interview with Peter Dunphy15 分
Machine Learning, Artificial Intelligence, and Decision Support6 分
Journey Mapping and Pain Points6 分
Patient Monitoring4 分
Interview with Cait Larson from Dynamicare19 分
Differential Diagnosis6 分
Care Management4 分
Preventive Screening6 分
Avoidable Readmissions6 分
4件の学習用教材
Healthcare Ecosystem Readings10 分
Healthcare Consumer Journey Mapping10 分
TED Talk on an innovation in Remote Patient Monitoring10 分
Innovations and Results in Patient Outreach10 分
6の練習問題
Check Your Knowledge3 分
Check Your Knowledge1 分
Check Your Knowledge6 分
Check Your Knowledge3 分
Check Your Knowledge4 分
Module 1 (Graded)30 分
2
3時間で修了

Predictive Modeling Basics

Let’s navigate through what it takes to predict health outcomes and cost. What if we could use machine learning in your organization to reduce the cost of care for both the organization and the members receiving that care? Have you thought about what data you need to collect? How you might need to enrich that data to gain more insight in to what is driving those outcomes and cost? Or what types of machine learning algorithms you might utilize in order to most effectively target patients who are likely to be high cost? We are going to look at not only the tech behind the predictions, but also examine the business and data relationships within the healthcare industry that ultimately impact your ability to deliver an effective solution....
9件のビデオ (合計47分), 2 readings, 6 quizzes
9件のビデオ
Predictive Modeling6 分
Linear Regression5 分
Disease Burden as a Predictor of Cost5 分
Machine Learning6 分
Data Sourcing5 分
Data Enrichment5 分
Provider Taxonomies and Relationships5 分
Predictive Modeling Process6 分
2件の学習用教材
Linear Regression Explained5 分
Using AI to Diagnose Disease5 分
5の練習問題
Check Your Knowledge2 分
Check Your Knowledge2 分
Check Your Knowledge8 分
Check Your Knowledge6 分
Check Your Knowledge6 分
3
2時間で修了

Consumerism and Operationalization

Now that we have discussed various types of predictive models, let’s take a look at which models are appropriate for the business case we are trying to address and how we can evaluate their performance. For example, is using the same performance metric appropriate to use when making predictions about individual vs. population health? In this module we'll discuss how layering appropriate decision support methods on top of predictive analytics and machine learning can lay the groundwork for significant improvements in overall outreach and productivity, as well as decrease costs. Finally, we will discuss the key to blending decision support into the existing ecosystem of your business workflow and technology infrastructure....
9件のビデオ (合計53分), 1 reading, 6 quizzes
9件のビデオ
Analytic Maturity Model5 分
Identifying Historic Addressable Opportunity5 分
Predicting Addressable Opportunity8 分
Measuring Predictive Accuracy9 分
Making Recommendations5 分
Voices from the Industry with George "Russ" Moran7 分
Integration and Orchestration4 分
Operational Engagement Framework6 分
1件の学習用教材
The Future of Predictive Analytics in Healthcare15 分
6の練習問題
Check Your Knowledge4 分
Check Your Knowledge4 分
Check Your Knowledge4 分
Check Your Knowledge4 分
Check Your Knowledge4 分
Module 3 (Graded)30 分
4
4時間で修了

Advanced Topics in Operationalization

Now that we know the importance of decision support and predictive modeling, we are going to take that one step further. Not only do we need to predict, but more importantly, we need to prescribe. It is not enough to just implement alerts and reminders - we need to offer guidance and recommendations for healthcare professionals. Let’s take a look at how analytics can improve the patient experience and their overall health status....
9件のビデオ (合計65分), 2 readings, 5 quizzes
9件のビデオ
Operational Entity Relationship Model7 分
Using Other Administrative Data to Target Avoidable Utilization8 分
Targeting High Value Member Patients Using Consumer Data5 分
Recommending a Program for Care Management7 分
Recommending a Channel for Member Engagement6 分
Interview with Peter Dunphy from Perfect Health15 分
Embedding Decision Support with your Existing Technology Footprint6 分
Deploying Decision Support Beyond the Enterprise to the Consumer6 分
2件の学習用教材
Utilizing Consumer Data10 分
Misconceptions in the Industry10 分
4の練習問題
Check Your Knowledge6 分
Check Your Knowledge4 分
Check Your Knowledge6 分
Check Your Knowledge2 分

講師

Avatar

Craig Johnson

Part-time Lecturer, Chief Science Officer at Decision Point Health Solutions
College of Computer and Information Science

Northeastern University について

Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. The university is a leader in experiential learning, powered by the world’s most far-reaching cooperative education program. The spirit of collaboration guides a use-inspired research enterprise focused on solving global challenges in health, security, and sustainability....

Healthcare Trends for Business Professionalsの専門講座について

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

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