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Engaging in Improving Patient Experience Through Analytics
Master data-driven strategies to enhance patient experience in healthcare. Learn predictive analytics and decision support systems.
Course Cost
₹ 2,699
Beginner
Skill Level
13 Hours
Self-paced lessons
This course, the second part of a two-part series, focuses on improving patient experience and reducing pain points in healthcare processes through analytic and decision support frameworks. Students learn to use data for effective decision support, make predictions for individual patient outcomes, and develop recommendations based on these predictions. The course covers experience-oriented predictions, outreach strategies, operational considerations for implementing decision support innovations, and building business cases for experience management solutions. Throughout the course, participants apply concepts to operational improvements in their own organizations, gaining practical skills in healthcare analytics and decision support.
English
What you'll learn
Master techniques for predicting individual patient outcomes in healthcare
Understand and analyze CAHPS survey data for patient satisfaction insights
Develop strategies for optimizing outreach campaigns in healthcare
Learn to integrate decision support innovations into existing healthcare workflows
Understand operational challenges in implementing analytics-driven solutions
Develop skills in building business cases for experience management initiatives
Gain proficiency in assessing stakeholder and financial impacts of analytics solutions
Apply analytics concepts to real-world healthcare operational improvements
Skills you'll gain
This course includes:
46 Minutes PreRecorded video
5 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course provides a comprehensive exploration of using analytics to improve patient experience in healthcare settings. It is structured into four modules, each focusing on critical aspects of data-driven decision-making in healthcare. The first module covers predicting outcomes, including methods for making predictions about individual patient outcomes and analyzing CAHPS survey data. The second module focuses on making recommendations based on predictions, exploring outreach strategies and resource allocation for interventions. The third module addresses operational considerations for implementing decision support innovations, including workflow and ecosystem integration. The final module covers building a business case for experience management decision support, examining stakeholder impact and financial considerations. Throughout the course, students engage with real-world healthcare scenarios and apply concepts to their own organizational contexts.
Predicting Outcomes
Module 1 · 2 Hours to complete
Whole Picture Recommendations
Module 2 · 3 Hours to complete
Operational Considerations
Module 3 · 5 Hours to complete
Business Case Considerations
Module 4 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.