À propos de ce cours
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Sous-titres : Anglais

Ce que vous allez apprendre

  • Check

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

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

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

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

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Niveau intermédiaire

Approx. 11 heures pour terminer

Recommandé : 5 hours/week...

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
3 heures pour terminer

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 vidéos (Total 106 min), 4 lectures, 6 quiz
15 vidéos
Introduction to Module 159s
Consumerism, Supply Chain and Social & Situational Determinants2 min
Operationalizing Consumerism Using ML and AI1 min
Interview with Caitlyn19 min
Operationalizing a New Supply Chain1 min
Interview with Peter Dunphy15 min
Machine Learning, Artificial Intelligence, and Decision Support6 min
Journey Mapping and Pain Points6 min
Patient Monitoring4 min
Interview with Cait Larson from Dynamicare19 min
Differential Diagnosis6 min
Care Management4 min
Preventive Screening6 min
Avoidable Readmissions6 min
4 lectures
Healthcare Ecosystem Readings10 min
Healthcare Consumer Journey Mapping10 min
TED Talk on an innovation in Remote Patient Monitoring10 min
Innovations and Results in Patient Outreach10 min
6 exercices pour s'entraîner
Check Your Knowledge3 min
Check Your Knowledge1 min
Check Your Knowledge6 min
Check Your Knowledge3 min
Check Your Knowledge4 min
Module 1 (Graded)30 min
Semaine
2
3 heures pour terminer

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 vidéos (Total 47 min), 2 lectures, 6 quiz
9 vidéos
Predictive Modeling6 min
Linear Regression5 min
Disease Burden as a Predictor of Cost5 min
Machine Learning6 min
Data Sourcing5 min
Data Enrichment5 min
Provider Taxonomies and Relationships5 min
Predictive Modeling Process6 min
2 lectures
Linear Regression Explained5 min
Using AI to Diagnose Disease5 min
5 exercices pour s'entraîner
Check Your Knowledge2 min
Check Your Knowledge2 min
Check Your Knowledge8 min
Check Your Knowledge6 min
Check Your Knowledge6 min
Semaine
3
2 heures pour terminer

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 vidéos (Total 53 min), 1 lecture, 6 quiz
9 vidéos
Analytic Maturity Model5 min
Identifying Historic Addressable Opportunity5 min
Predicting Addressable Opportunity8 min
Measuring Predictive Accuracy9 min
Making Recommendations5 min
Voices from the Industry with George "Russ" Moran7 min
Integration and Orchestration4 min
Operational Engagement Framework6 min
1 lecture
The Future of Predictive Analytics in Healthcare15 min
6 exercices pour s'entraîner
Check Your Knowledge4 min
Check Your Knowledge4 min
Check Your Knowledge4 min
Check Your Knowledge4 min
Check Your Knowledge4 min
Module 3 (Graded)30 min
Semaine
4
4 heures pour terminer

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 vidéos (Total 65 min), 2 lectures, 5 quiz
9 vidéos
Operational Entity Relationship Model7 min
Using Other Administrative Data to Target Avoidable Utilization8 min
Targeting High Value Member Patients Using Consumer Data5 min
Recommending a Program for Care Management7 min
Recommending a Channel for Member Engagement6 min
Interview with Peter Dunphy from Perfect Health15 min
Embedding Decision Support with your Existing Technology Footprint6 min
Deploying Decision Support Beyond the Enterprise to the Consumer6 min
2 lectures
Utilizing Consumer Data10 min
Misconceptions in the Industry10 min
4 exercices pour s'entraîner
Check Your Knowledge6 min
Check Your Knowledge4 min
Check Your Knowledge6 min
Check Your Knowledge2 min

Enseignant

Avatar

Craig Johnson

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

À propos de Northeastern University

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....

À propos de la Spécialisation Healthcare Trends for Business Professionals

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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