This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course.
This is the second part in a two-part course exploring concepts and topics related to improving the patient experience and reducing pain points in healthcare processes through analytic and decision support frameworks.
In this course, you will survey the kind of data that is used to make effective decision support choices, following up with information on how to use the data to predict outcomes. Throughout this course, you will be given the opportunity to apply the course concepts to operational improvements in your own organization.
In this module, we'll be looking at experience oriented predictions and some of the different methods and techniques we can bring to bear when building them. We'll examine making predictions for individual patient outcomes, for example: how likely they are to have preventable complications, non-compliance with medication regimens or how likely they are to be satisfied with their provider. We'll take a deeper dive into the CAHPS survey, a common method for evaluating consumer satisfaction with their health plan and provider.
Inclus
4 vidéos8 lectures1 devoir2 sujets de discussion
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4 vidéos•Total 13 minutes
Meet Your Faculty: Craig Johnson•3 minutes
Meet Your Guest Speaker: Lisette Roman•1 minute
It's not just about Neural Networks!•5 minutes
Predictions, Insights and Recommendations (CAHPS) Part B•4 minutes
8 lectures•Total 25 minutes
Welcome to Improving Patient Experience Through Analytics•1 minute
Syllabus•10 minutes
Module Overview•1 minute
Using the Right Modeling Technique•1 minute
Promise and Limitations of Predictive Analysis•1 minute
Differential Diagnosis of Interstitial Lung Disease•5 minutes
Differential Diagnosis of Interstitial Lung Disease II•5 minutes
Summary•1 minute
1 devoir•Total 30 minutes
Module Quiz•30 minutes
2 sujets de discussion•Total 70 minutes
Welcome to the Course!•10 minutes
Reducing Readmissions•60 minutes
Whole Picture Recommendations
Module 2•4 heures à terminer
Détails du module
Now that we have reviewed making predictions in the previous module, we'll explore making recommendations based on these predictions. We'll start by looking at opportunities for outreach and intervention with individual patients. Then we'll examine the prevalent outreach strategies in the industry. Next, we'll examine different ways of allocating campaign resources. We'll then explore the methods and techniques that are needed in order to optimize outreach campaigns.
Inclus
7 vidéos12 lectures2 devoirs1 sujet de discussion
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7 vidéos•Total 28 minutes
Module Overview•2 minutes
Multi-Dimensional Opportunity•5 minutes
Blended Techniques for Optimization of Interventions (Part B)•6 minutes
Blended Techniques for Optimization of Interventions (Part A)•4 minutes
Blended Techniques for Optimization of Interventions (Part C)•2 minutes
Introduction to CAHPS•5 minutes
Addressing Bias in CAHPS Campaign Generation•4 minutes
12 lectures•Total 84 minutes
EM/DSS Methods/Techniques Selection•50 minutes
Personalized Search and Recommendation•5 minutes
Recommending Medicare Coverage•1 minute
Recommending Case Management•1 minute
Recommendation System•1 minute
Placing a Member into a Program•1 minute
Health Plan Care Management Program•1 minute
Incentive Alignment•1 minute
Blended Techniques in Action•1 minute
Summary•1 minute
Diving Deeper Into CAHPS•1 minute
The Case for CAHPS•20 minutes
2 devoirs•Total 33 minutes
Module Quiz•30 minutes
CAHPS Quiz•3 minutes
1 sujet de discussion•Total 90 minutes
AI & Technology•90 minutes
Operational Considerations
Module 3•6 heures à terminer
Détails du module
In this module, we'll focus on operational considerations that are vital if your decision support innovation is to be deployed successfully. We'll start by touching on using data and visualization to support investment in outreach and intervention campaigns. Then we'll examine the considerations you will need to take when embedding a decision support innovation into existing workflows and technology ecosystems. By the end of this module, you will have a solid grasp on issues and challenges you may face when trying to operationalize your experience management decision support.
Inclus
2 vidéos8 lectures1 devoir1 évaluation par les pairs
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2 vidéos•Total 5 minutes
Module Overview•2 minutes
Business Systems Context Diagram•3 minutes
8 lectures•Total 73 minutes
EM/DSS Business Systems Integration Preview•10 minutes
In this final module, we'll focus on making the business case for your experience management decision support. We'll explore the impact for three major focus areas: stakeholder impact, cross-cutting areas of impact and financial impact. We'll also delve into changes that may impact the providers such as workflow, compensation, trust and satisfaction. We'll consider potential impact to the organization such as staffing and responsibility changes. By the end of the module, you will have a holistic picture of the areas impact of a decision support when integrated into existing systems.
Inclus
1 vidéo6 lectures1 devoir2 sujets de discussion
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1 vidéo•Total 2 minutes
Module Overview•2 minutes
6 lectures•Total 60 minutes
EM/DSS Business Case Considerations•20 minutes
Impact on the Patient, Caregivers and Family•15 minutes
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.
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Étudiant(e) depuis 2018
’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’
Jennifer J.
Étudiant(e) depuis 2020
’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’
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’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.