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.
Das ist alles enthalten
4 Videos8 Lektüren1 Aufgabe2 Diskussionsthemen
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4 Videos•Insgesamt 13 Minuten
Meet Your Faculty: Craig Johnson•3 Minuten
Meet Your Guest Speaker: Lisette Roman•1 Minute
It's not just about Neural Networks!•5 Minuten
Predictions, Insights and Recommendations (CAHPS) Part B•4 Minuten
8 Lektüren•Insgesamt 25 Minuten
Welcome to Improving Patient Experience Through Analytics•1 Minute
Syllabus•10 Minuten
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 Minuten
Differential Diagnosis of Interstitial Lung Disease II•5 Minuten
Summary•1 Minute
1 Aufgabe•Insgesamt 30 Minuten
Module Quiz•30 Minuten
2 Diskussionsthemen•Insgesamt 70 Minuten
Welcome to the Course!•10 Minuten
Reducing Readmissions•60 Minuten
Whole Picture Recommendations
Modul 2•4 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
7 Videos12 Lektüren2 Aufgaben1 Diskussionsthema
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7 Videos•Insgesamt 28 Minuten
Module Overview•2 Minuten
Multi-Dimensional Opportunity•5 Minuten
Blended Techniques for Optimization of Interventions (Part B)•6 Minuten
Blended Techniques for Optimization of Interventions (Part A)•4 Minuten
Blended Techniques for Optimization of Interventions (Part C)•2 Minuten
Introduction to CAHPS•5 Minuten
Addressing Bias in CAHPS Campaign Generation•4 Minuten
12 Lektüren•Insgesamt 84 Minuten
EM/DSS Methods/Techniques Selection•50 Minuten
Personalized Search and Recommendation•5 Minuten
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 Minuten
2 Aufgaben•Insgesamt 33 Minuten
Module Quiz•30 Minuten
CAHPS Quiz•3 Minuten
1 Diskussionsthema•Insgesamt 90 Minuten
AI & Technology•90 Minuten
Operational Considerations
Modul 3•6 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
2 Videos8 Lektüren1 Aufgabe1 peer review
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2 Videos•Insgesamt 5 Minuten
Module Overview•2 Minuten
Business Systems Context Diagram•3 Minuten
8 Lektüren•Insgesamt 73 Minuten
EM/DSS Business Systems Integration Preview•10 Minuten
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.
Das ist alles enthalten
1 Video6 Lektüren1 Aufgabe2 Diskussionsthemen
Infos zu Modulinhalt anzeigen
1 Video•Insgesamt 2 Minuten
Module Overview•2 Minuten
6 Lektüren•Insgesamt 60 Minuten
EM/DSS Business Case Considerations•20 Minuten
Impact on the Patient, Caregivers and Family•15 Minuten
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.
When will I have access to the lectures and assignments?
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?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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.