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Craig Johnson

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.

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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.

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What's inside

Syllabus

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.
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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.
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.
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches techniques and predictions associated with reduced pain points in healthcare processes through analytic and decision support frameworks
Survey effective decision-making data and explore predictive outcomes based on this data
Provide outreach and intervention strategies that align with decision support predictions
Learn operational considerations for successful deployments of innovations
Course developing decision-support and its impact on stakeholders, cross-cutting areas and financial matters
Suited for providers, payers, administrators, or those pursuing career changes in healthcare

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Engaging in Improving Patient Experience Through Analytics with these activities:
Review Healthcare Terminology
Review basic healthcare terminology to ensure a strong foundation for understanding course concepts.
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  • Refer to textbooks or online resources to review medical terminology.
  • Complete practice exercises to test understanding.
Form a Study Group with Classmates
Collaborate with classmates to discuss course concepts, share insights, and reinforce learning.
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  • Connect with classmates and organize a study group.
  • Meet regularly to discuss course materials and assignments.
Compile Course Resources
Create a repository and organize key materials from the course (e.g., notes, assignments, videos) for easy referencing.
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  • Establish a note-taking system (e.g., digital or physical notebook)
  • Collect and organize lecture notes (e.g., slides, handouts)
  • Save key assignments, projects, and presentations
  • Download supplemental materials, such as videos and articles
Seven other activities
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Practice Patient Satisfaction Surveys
Complete practice patient satisfaction surveys to improve understanding and accuracy in predicting patient outcomes.
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  • Access online patient satisfaction surveys.
  • Complete surveys from the perspective of different patient types.
Develop a Healthcare Process Improvement Plan
Create a plan to improve a specific healthcare process, applying the principles learned in the course.
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  • Identify a healthcare process for improvement.
  • Analyze the current process to identify pain points.
  • Design and implement a plan for improvement.
  • Evaluate the effectiveness of the improvement plan.
Practice Case Studies
Strengthen understanding of the course concepts by working through real-life healthcare scenarios and applying analytical tools to find solutions.
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  • Identify a relevant case study or scenario
  • Analyze the data presented in the case study
  • Develop recommendations based on the analysis
  • Evaluate the effectiveness of the recommendations
Collaborate on a Healthcare Analytics Project
Enhance teamwork and communication skills while applying course concepts through collaboration on an analytics project with peers.
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  • Form a study group
  • Choose a healthcare analytics project
  • Collect and analyze data
  • Develop and present a solution
Contribute to Healthcare Data Analysis Projects
Participate in open-source projects to apply data analysis skills and enhance understanding of healthcare data.
Show steps
  • Identify open-source healthcare data analysis projects.
  • Contribute to projects by analyzing data, developing models, or writing code.
Attend a Healthcare Innovation Workshop
Participate in a workshop to learn about emerging healthcare technologies and best practices for optimizing patient experiences.
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  • Research and identify relevant healthcare innovation workshops.
  • Attend the workshop and engage with experts and peers.
Develop a Healthcare Process Improvement Plan
Design a comprehensive plan to improve a specific patient experience aspect within your organization using the knowledge gained in the course.
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  • Identify an area for improvement
  • Gather data and analyze it
  • Develop a plan for improvement
  • Implement and evaluate your plan

Career center

Learners who complete Engaging in Improving Patient Experience Through Analytics will develop knowledge and skills that may be useful to these careers:
Patient Experience Manager
Patient Experience Managers are responsible for overseeing patient experience initiatives and ensuring that patients receive high-quality care. The course, Engaging in Improving Patient Experience Through Analytics, is highly relevant to Patient Experience Managers as it provides a comprehensive understanding of patient experience and the use of data to improve it. By gaining insights into predictive modeling and optimization techniques, Patient Experience Managers can develop effective strategies to enhance patient satisfaction and loyalty.
Healthcare Data Scientist
Healthcare Data Scientists leverage their knowledge of advanced analytics techniques to analyze large datasets and extract valuable insights from healthcare data. The course, Engaging in Improving Patient Experience Through Analytics, is highly relevant to Healthcare Data Scientists as it focuses on using data to gain a deeper understanding of patient experience and develop interventions to improve it. The course provides practical knowledge of predictive modeling and optimization techniques that are essential for Healthcare Data Scientists in their role of driving data-driven decision-making in healthcare.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to extract meaningful insights and trends. The course, Engaging in Improving Patient Experience Through Analytics, is highly relevant to Data Analysts as it delves into the various types of data used in healthcare, as well as techniques for predicting outcomes. Through the course, Data Analysts can enhance their skills in using data to make effective data-driven decisions that directly impact patient experience.
Business Analyst
Business Analysts work closely with stakeholders to identify and define business requirements. They analyze data, processes, and systems to develop solutions that improve efficiency and effectiveness. The course, Engaging in Improving Patient Experience Through Analytics, can be highly beneficial for Business Analysts in the healthcare sector. The course provides valuable insights into patient experience and the use of data to drive improvements. By understanding the concepts and techniques covered in the course, Business Analysts can develop better solutions that enhance patient satisfaction.
Healthcare Consultant
Healthcare Consultants provide expertise and guidance to healthcare organizations on a variety of issues, including improving patient experience. The course, Engaging in Improving Patient Experience Through Analytics, can be valuable for Healthcare Consultants as it provides a comprehensive understanding of patient experience and the use of data to improve it. By gaining insights into predictive modeling and optimization techniques, Healthcare Consultants can develop effective strategies to help their clients enhance patient satisfaction and loyalty.
User Experience (UX) Designer, Healthcare
UX Designers in the healthcare industry are responsible for designing and evaluating user interfaces for healthcare products and services. The course, Engaging in Improving Patient Experience Through Analytics, can be beneficial for UX Designers in the healthcare industry as it provides a framework for understanding patient experience and using data to improve it. Through the course, UX Designers can develop data-driven strategies to create user-centered designs that enhance the patient experience and improve outcomes.
Product Manager, Healthcare
Product Managers in the healthcare industry are responsible for developing and managing healthcare products and services. The course, Engaging in Improving Patient Experience Through Analytics, can be beneficial for Product Managers in the healthcare industry as it provides a framework for understanding patient experience and using data to improve it. Through the course, Product Managers can develop data-driven strategies to improve the design and functionality of healthcare products and services.
Quality Improvement Specialist
Quality Improvement Specialists work to improve the quality and efficiency of healthcare services. The course, Engaging in Improving Patient Experience Through Analytics, can be beneficial for Quality Improvement Specialists as it provides a framework for understanding patient experience and using data to identify areas for improvement. Through the course, Quality Improvement Specialists can develop data-driven strategies to enhance patient care and reduce costs.
Operations Manager
Operations Managers are responsible for planning, organizing, and directing the activities of an organization to achieve its goals. The course, Engaging in Improving Patient Experience Through Analytics, can be beneficial for Operations Managers in healthcare settings. The course provides a framework for understanding the patient experience and using data to identify areas for improvement. By leveraging the concepts and techniques covered in the course, Operations Managers can optimize healthcare operations to enhance patient satisfaction and reduce costs.
Statistician
Statisticians collect, analyze, interpret, and present data. The course, Engaging in Improving Patient Experience Through Analytics, can be beneficial for Statisticians in the healthcare industry as it provides a framework for understanding patient experience and using data to improve it. Through the course, Statisticians can develop data-driven strategies to identify trends, patterns, and relationships in healthcare data, which can lead to improved patient care and outcomes.
Healthcare Administrator
Healthcare Administrators oversee the day-to-day operations of healthcare facilities, ensuring the efficient and effective delivery of patient care. The course, Engaging in Improving Patient Experience Through Analytics, can be valuable for Healthcare Administrators as it provides insights into the role of data in improving patient experience. By understanding how to use data to identify and address pain points, Healthcare Administrators can make data-driven decisions that enhance patient satisfaction and improve outcomes.
Nurse Manager
Nurse Managers oversee the nursing staff and ensure the efficient and effective delivery of patient care. The course, Engaging in Improving Patient Experience Through Analytics, may be useful for Nurse Managers as it provides insights into patient experience and the use of data to improve it. By understanding how to use data to identify and address pain points, Nurse Managers can create a more positive and supportive work environment for their staff, which can lead to improved patient care.
Healthcare Policy Analyst
Healthcare Policy Analysts research, analyze, and develop policies to improve the healthcare system. The course, Engaging in Improving Patient Experience Through Analytics, may be useful for Healthcare Policy Analysts as it provides insights into patient experience and the use of data to improve it. By understanding how to use data to identify and address pain points, Healthcare Policy Analysts can develop more effective policies that enhance patient satisfaction and improve outcomes.
Physician
Physicians diagnose and treat patients with a variety of illnesses and injuries. The course, Engaging in Improving Patient Experience Through Analytics, may be useful for Physicians as it provides insights into patient experience and the use of data to improve it. By understanding the needs and preferences of patients, Physicians can provide more personalized and effective care.
Medical Researcher
Medical Researchers conduct studies to investigate the causes and treatments of diseases. The course, Engaging in Improving Patient Experience Through Analytics, may be useful for Medical Researchers as it provides insights into patient experience and the use of data to improve it. By understanding the needs and preferences of patients, Medical Researchers can develop more effective treatments and interventions.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Engaging in Improving Patient Experience Through Analytics.
Complement to the course's focus on data analytics in healthcare by providing foundational and essential concepts, techniques, and case studies.
Provides a comprehensive overview of logistic regression and its applications in healthcare research. It covers topics such as model building, model evaluation, and interpretation.
Provides a comprehensive overview of statistical methods in healthcare research. It covers topics such as descriptive statistics, inferential statistics, and regression analysis.
Provides a comprehensive overview of causal inference in statistics and its applications. It covers topics such as causal graphs, counterfactuals, and instrumental variables.
Provides a framework and tools for improving healthcare processes, which aligns with the course's focus on operational considerations.
Discusses the impact of digital technologies on healthcare, providing insights into the changing landscape and the role of analytics.

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