Informações sobre o curso

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Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 11 horas para completar

Sugerido: 5 hours/week...

Inglês

Legendas: Inglês

O que você vai aprender

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    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

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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% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 11 horas para completar

Sugerido: 5 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
3 horas para concluir

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 vídeos (total de (Total 106 mín.) min), 4 leituras, 6 testes
15 videos
Introduction to Module 159s
Consumerism, Supply Chain and Social & Situational Determinants2min
Operationalizing Consumerism Using ML and AI1min
Interview with Caitlyn19min
Operationalizing a New Supply Chain1min
Interview with Peter Dunphy15min
Machine Learning, Artificial Intelligence, and Decision Support6min
Journey Mapping and Pain Points6min
Patient Monitoring4min
Interview with Cait Larson from Dynamicare19min
Differential Diagnosis6min
Care Management4min
Preventive Screening6min
Avoidable Readmissions6min
4 leituras
Healthcare Ecosystem Readings10min
Healthcare Consumer Journey Mapping10min
TED Talk on an innovation in Remote Patient Monitoring10min
Innovations and Results in Patient Outreach10min
6 exercícios práticos
Check Your Knowledge3min
Check Your Knowledge1min
Check Your Knowledge6min
Check Your Knowledge3min
Check Your Knowledge4min
Module 1 (Graded)30min
Semana
2
3 horas para concluir

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 vídeos (total de (Total 47 mín.) min), 2 leituras, 6 testes
9 videos
Predictive Modeling6min
Linear Regression5min
Disease Burden as a Predictor of Cost5min
Machine Learning6min
Data Sourcing5min
Data Enrichment5min
Provider Taxonomies and Relationships5min
Predictive Modeling Process6min
2 leituras
Linear Regression Explained5min
Using AI to Diagnose Disease5min
5 exercícios práticos
Check Your Knowledge2min
Check Your Knowledge2min
Check Your Knowledge8min
Check Your Knowledge6min
Check Your Knowledge6min
Semana
3
2 horas para concluir

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 vídeos (total de (Total 53 mín.) min), 1 leitura, 6 testes
9 videos
Analytic Maturity Model5min
Identifying Historic Addressable Opportunity5min
Predicting Addressable Opportunity8min
Measuring Predictive Accuracy9min
Making Recommendations5min
Voices from the Industry with George "Russ" Moran7min
Integration and Orchestration4min
Operational Engagement Framework6min
1 leituras
The Future of Predictive Analytics in Healthcare15min
6 exercícios práticos
Check Your Knowledge4min
Check Your Knowledge4min
Check Your Knowledge4min
Check Your Knowledge4min
Check Your Knowledge4min
Module 3 (Graded)30min
Semana
4
4 horas para concluir

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 vídeos (total de (Total 65 mín.) min), 2 leituras, 5 testes
9 videos
Operational Entity Relationship Model7min
Using Other Administrative Data to Target Avoidable Utilization8min
Targeting High Value Member Patients Using Consumer Data5min
Recommending a Program for Care Management7min
Recommending a Channel for Member Engagement6min
Interview with Peter Dunphy from Perfect Health15min
Embedding Decision Support with your Existing Technology Footprint6min
Deploying Decision Support Beyond the Enterprise to the Consumer6min
2 leituras
Utilizing Consumer Data10min
Misconceptions in the Industry10min
4 exercícios práticos
Check Your Knowledge6min
Check Your Knowledge4min
Check Your Knowledge6min
Check Your Knowledge2min

Instrutores

Avatar

Craig Johnson

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

Sobre 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....

Sobre o Programa de cursos integrados 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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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