Analytics in Healthcare Management and Administration (Coursera)

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.

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

This course provides you the opportunity to learn about how business analytics can improve the health organization performance and ways to identify and address issues that affect patient care. You will explore the components of care continuity, the strategies used to achieve continuity, and the characteristics of patient-centeredness. You will also review the structure and value of the randomized controlled trial and the need for decision-making at the individual level. Finally, you will learn about systems in healthcare, the 6Cs of systemness, and the five common properties of complex systems and the framework to create change.

Syllabus

WEEK 1
Health Organization Performance
In this module you will learn about how business analytics can improve the health organization performance, including the common tools used to identify causes of problems that affect patient quality, the incidence and impact of adverse events, and the application of process mapping to help identify areas for bottlenecks and delays in patient care or patient flow.

WEEK 2
Patient Centeredness and Continuity
In this module you will learn about the components of care continuity, the strategies used to achieve continuity, the characteristics of patient-centeredness, the programs in place for improving the structure of continuity and patient centeredness, and the opportunities to extend patient care beyond the hospital and the clinician’s office.

WEEK 3
Evolution of Healthcare Evidence
In this module, you will learn about the structure and value of the randomized controlled trial, the need for decision making at the individual level and for new kinds of data and evidence to support this type of decision-making, the application of artificial intelligence and machine learning to help move toward personalized healthcare, and the importance of choosing outcomes of value to the patient.

WEEK 4
Systems and Complexity in Healthcare
In this module you will learn about the concepts of a system, the 6Cs of systemness, the principles of system design, the five common properties of complex systems and the framework to create change.

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

Related Courses

Principles of fMRI 2 (Coursera) Coursera
Johns Hopkins University,University of Colorado Boulder

Principles of fMRI 2 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.

Sep 21st 2026
4 Weeks
Intro to Improving the Patient Experience Through Analytics (Coursera) Coursera
Northeastern University

Intro to Improving the 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. In this course, you will have an opportunity to explore concepts and topics related to improving the patient experience and reducing pain points in healthcare processes through analytic and decision support frameworks.

Sep 21st 2026
4 Weeks
Instructional Methods in Health Professions Education (Coursera) Coursera
University of Michigan

Instructional Methods in Health Professions Education (Coursera)

This course provides those involved in educating members of the health professions an asynchronous, interdisciplinary, and interactive way to obtain, expand, and improve their teaching skills. These skills can then be applied within their own professional context, with a variety of learners, extending across many stages.

Sep 21st 2026
5-12 Weeks
Hands-on Text Mining and Analytics (Coursera) Coursera
Yonsei University

Hands-on Text Mining and Analytics (Coursera)

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists.

Sep 21st 2026
5-12 Weeks
Platform Thinking: what’s beyond Uber? (Coursera) Coursera
Politecnico di Milano

Platform Thinking: what’s beyond Uber? (Coursera)

This course aims to identify the elements that make platforms such a relevant and interesting business model defining the concept of "Platform thinking", defined as the ability to see the potentialities derived from platform-based models while fostering innovation in the digital world but also in traditional and established businesses. The course is based on the definition of platforms, taking a historical view on the evolution of this complex concept that became a buzzword, introducing Platform Thinking.

Sep 21st 2026
4 Weeks
Gestión del análisis de datos (Coursera) Coursera
Johns Hopkins University

Gestión del análisis de datos (Coursera)

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.

Sep 21st 2026
1 Week
Mental Health and Resilience for Healthcare Workers (Coursera) Coursera
University of Toronto

Mental Health and Resilience for Healthcare Workers (Coursera)

This course will help institutions and individuals better manage the mental health challenges of being a healthcare worker. Healthcare providers such as the University Health Network (UHN) address the mental health needs of their staff through several initiatives intended to help build resilience and to provide respite from the demands of their work. This was critical during the pandemic but, of course, healthcare workers encounter high levels of stress even without a pandemic.

Sep 21st 2026
5-12 Weeks
Population Health: Panel Management Next Level (Coursera) Coursera
Leiden University

Population Health: Panel Management Next Level (Coursera)

How can you, as a healthcare professional, identify patients that share the same risk of an adverse event? How do you transform your healthcare practice in such a way that you are not only able to provide proactive care but you are also able to improve the health of populations at risk? In this course you will learn how to apply the panel management approach to tackle these questions in order to change from reactive to proactive care.

Sep 21st 2026
4 Weeks
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Sep 21st 2026
5-12 Weeks
Connected Leadership (Coursera) Coursera
Yale University

Connected Leadership (Coursera)

This course is designed to maximize your ability to create change at the individual, team and system levels. Through study, reflection, and deploying practical tools, you will establish a firm connection between your clearly articulated Purpose, effective Priorities, visualized Potential for success, and pathway to maximized Progress. But, what does that mean in practice?

Sep 21st 2026
5-12 Weeks
Intro to Managing Ethics in the Workplace & Marketplace (Coursera) Coursera
Northeastern University

Intro to Managing Ethics in the Workplace & Marketplace (Coursera)

Are you seeking practical guidance for improved decision making in business situations involving critical ethical issues? Are you looking to participate in creative and constructive thinking and learning around these topics? This course is designed to help you. Flawed ethical reasoning has interfered with patient care, undermined shareholder value, eroded public trust, distanced employees and destroyed careers. Using a combination of didactic instruction and a series of case studies, readings, and field study experiences, the course will actively engage you in a timely, relevant, and challenging fashion.

Sep 21st 2026
4 Weeks