Engaging in Improving Patient Experience Through Analytics (Coursera)

Engaging in Improving Patient Experience Through Analytics (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

Syllabus

WEEK 1
Predicting Outcomes
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.

WEEK 2
Whole Picture Recommendations
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.

WEEK 3
Operational Considerations
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.

WEEK 4
Business Case Considerations
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Diabetes - the Essential Facts (Coursera) Coursera
University of Copenhagen

Diabetes - the Essential Facts (Coursera)

Across the world more than 420 million people are living with diabetes. Two thirds of these have not yet been diagnosed. When discovered late or managed incorrectly, diabetes can damage your heart, blood vessels, eyes, kidneys, and nerves, leading to disability and premature death. In fact, more people are dying of diabetes related diseases than of diseases as HIV/AIDS, malaria and tuberculosis combined. This course will provide you with an introduction to the most recent research in the field of prevention and treatment of diabetes as well as a broader understanding of the situation in different communities, rich and poor, across the world, where diabetes threatens public health.

Aug 16th 2026
3 Weeks
Preventing Chronic Pain: A Human Systems Approach (Coursera) Coursera
University of Minnesota

Preventing Chronic Pain: A Human Systems Approach (Coursera)

Chronic pain is at epidemic levels and has become the highest-cost condition in health care. This course uses both creative and experiential learning to better understand chronic pain conditions and how they can be prevented through self-management in our cognitive, behavioral, physical, emotional, spiritual, social, and environmental realms.

Aug 17th 2026
5-12 Weeks
Data Science in Stratified Healthcare and Precision Medicine (Coursera) Coursera
University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.

Aug 10th 2026
5-12 Weeks
Strategies for Senior Housing Communities during COVID-19 (Coursera) Coursera
Johns Hopkins University

Strategies for Senior Housing Communities during COVID-19 (Coursera)

SARS-CoV-2, the virus that causes COVID-19, poses a high risk for senior housing communities and the people who live and work there. The COVID-19 response has largely focused on nursing homes, leaving independent living communities serving older adults in the United States with fragmented guidance on how to respond to COVID-19 challenges. This course provides comprehensive instruction and resources for property owners and managers, senior housing staff, service coordinators and providers, community housing leaders, and other senior housing stakeholders to build upon their emergency preparedness and response strategies related to COVID-19. The course lectures, interviews, and assignments are largely geared toward federally-subsidized, multifamily senior housing providers, but the material is relevant for all senior housing providers. **Free enrollment available until December 31, 2021. Valid for one enrollment per person.**

Aug 17th 2026
1 Week
The Oral Cavity: Portal to Health and Disease (Coursera) Coursera
University of Pennsylvania

The Oral Cavity: Portal to Health and Disease (Coursera)

This course will focus on the interprofessional realtionship of dentistry and medicine. For each session, the medical specialist will present a broad overview of specific disease entity which will be followed by a dental educator discussing the relevant oral manifestations and implications. The final module of each session will be devoted to the interaction between the dental and other health care professionals.

Aug 10th 2026
5-12 Weeks
Data Augmented Technology Assisted Medical Decision Making (Coursera) Coursera
University of Michigan

Data Augmented Technology Assisted Medical Decision Making (Coursera)

Artificial intelligence (AI) and machine learning (ML) have the potential to increase diagnostic accuracy, decrease diagnostic errors, and improve patient outcomes. The Data Augmented, Technology Assisted Medical Decision Making (DATA-MD) course will teach you how to use AI to augment your diagnostic decision-making.

Aug 17th 2026
4 Weeks
eHealth: More than just an electronic record (Coursera) Coursera
The University of Sydney

eHealth: More than just an electronic record (Coursera)

The MOOC, "eHealth: More than just an electronic record!", is multidisciplinary in nature, and aims to equip the global audience of health clinicians, students, managers, administrators, and researchers to reflect on the overall impact of eHealth on the integration of care. It explores the breadth of technology application, current and emerging trends, and showcases both local and international eHealth practice and research.

Aug 17th 2026
5-12 Weeks
Analytics in Healthcare Management and Administration (Coursera) Coursera
Northeastern University

Analytics in Healthcare Management and Administration (Coursera)

This course is the continuation of Healthcare Analytics Essentials . If you have not yet taken the Healthcare Analytics Essentials course, it is recommended that you complete that course prior to this course. The foundational knowledge to support the project are carried through in this deeper dive into using healthcare analytics in management and administration.

Aug 17th 2026
4 Weeks