Nursing Informatics Leadership Theory and Practice (Coursera)

Nursing Informatics Leadership Theory and Practice (Coursera)

By the end of this Course, you will be able to… Evaluate effective leadership styles for leadership in nursing informatics in clinical or academic contexts to improve leadership success; Discover core values that support effective nursing informatics leadership in academic and clinical contexts to inform development of a personal leadership mission statement; Discover competing values and polarities related to knowledge leadership and management to promote successful leadership collaboration; Determine your personal informatics leadership style based on results from the Minnesota Informatics Leadership Inventory to inform successful leadership practice; Discuss the value and importance of foresight leadership in nursing informatics to anticipate trends and consequences that are likely to transform the learning health care system.

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

Course 3 of 5 in the Nursing Informatics Leadership Specialization.

Syllabus

WEEK 1
Evaluate effective leadership styles for leadership in nursing informatics in clinical or academic contexts to improve your leadership success
Overview: In this module we explore the knowledge complexity archetype and its relationship to leadership. Leadership Scholar Robert Dilts suggests effective leadership involves a mixture of several types of leadership ability. Self-skills have to do with how the leader deploys themselves in situations. Relational skills have to do with the ability to understand, communicate and motivate other people. Strategic thinking skills are necessary to define a desired state with specific goals and objectives. Finally, systemic thinking skills are used to define not only the problem space of a situation or challenge but also the desired state and how to organize the teams and people in the system to achieve that desired state. Leadership requires mastery of self, communication, relationships and mastery of the system. In this module several leadership styles are introduced, and you are invited to reflect on the ones that you most appreciate. Leaders must navigate and negotiate different levels of perspective as they turn visions into action. The Dilts Logical Levels of Leading and Learning conceptual model is a useful leadership framework to structure your thinking about leadership challenges. The model suggests the best leaders align environments, behaviors, capabilities, values and beliefs, identity, mission and visions to create a world to which people want to belong.

WEEK 2
Discover core values that support effective nursing informatics leadership in academic and clinical contexts to inform development of a personal leadership mission statement, and development plan
Remember from the last module one of the logical levels of learning and leading was related to values and beliefs. One’s values and beliefs support one’s identity, purpose and mission and provide motivations to lead. Leadership scholar Richard Barrett has developed an evolutionary leadership model built on values and suggests becoming conscious of one’s values supports personal and professional development as people change and grow evolving from self-interest, to personal transformation and beyond to serve the common good. Values are linked with needs and motivations. As one’s needs are satisfied one evolves in terms of awareness, development, and focus. In this module you will have an opportunity to learn about Barrett’s seven levels model and complete a personal values assessment (PVA). You will be invited to reflect on how your personal values influence your leadership style. You will have the change to contemplate what values you want to strengthen and develop. Gaining insight into your needs and motivations will help you craft intentional leadership development plans. Using your values to create a personal leadership mission statement will help clarify your contributions to a group or organization and provide direction for professional development in the future.

WEEK 3
Discover competing values and polarities related to knowledge leadership and management to promote successful leadership collaboration
Recall from earlier modules, leadership is about alignment of vision, mission, purpose, people and processes. Successful organizations and leaders find ways to manage competing values and polarities. Some people in the organization like to create, others compete, some prefer control and some prefer collaboration. Managing competing values promotes creativity and innovation as well as the positive aspects of control and competition. Preferences and perspectives associated with these competing values create polarity dynamics. Polarities are interdependent pairs of values or alternative points of view that seem contrary, yet need each other over time to achieved desired outcomes. Uncovering and managing the missing logic in a polarity dynamic which results from a clash of competing values is an essential informatics leadership skill. Developing an awareness and skills in polarity management will contribute to your leadership success and give you tools to enhance your flexibility and requisite leadership behaviors. The law of requisite variety suggests the agent with the most flexibility in a system will control the system. Mastering competing values and polarity management will support the development of your requisite variety leadership practices.

WEEK 4
Reflect on results from the Minnesota Nursing Informatics Leadership Inventory (MNLI) to inform successful leadership development and practice
In this module you can review and reflect on your Minnesota Nursing Informatics Leadership Inventory (MNLI) results. You will also hear nursing informatics leaders speak to the requisite variety of leadership practices that support leadership success. How will the advice they share influence your thinking, feeling, and commitments to leadership action? With insights gained, you will have the chance to revise your personal leadership mission statement. What values guide your work? How does the way you lead influence the systems of care where you work? How do you communicate your leadership style to your peers and colleagues? How do your reflections influence in your thoughts, feelings and future plans for action? How will you develop the requisite leadership behaviors and practices to support your success?

WEEK 5
Discuss the value and importance of foresight leadership in nursing informatics to anticipate trends and consequences that are likely to transform the learning health care system
Nursing foresight is the ability and act of forecasting what will be needed in the future in light of emergent health care trends that have consequences for population and planetary health, as well as the profession’s purpose, definition, professional scope, and standards of practice. Foresight leadership in nursing requires the development of future literacy skills. Futures literacy invites people to create and share stories about the future to inform current practice and realities. Nurses who bridge innovations across contexts must become time-conscious, future literate, and enact requisite variety leadership practices. This requires insight about self and others’ orientations toward time, appreciation for the value of innovation and design thinking and attention to active monitoring of industry trends, forecasts and disruptions. Foresight leadership is a function of discerning logical consequences of trends and developing vision based scenarios using futures thinking tools, techniques and methods. Nursing informatics leaders must stimulate strategic conversations about espoused visions looking backwards from the future. Foresight leadership helps people and organizations anticipate and create the future rather than react to emerging futures. Nursing informatics leaders are in a position to create a legacy and position organizations for success, through intentional use of foresight leadership knowledge, principles, practices and strategies.

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

Related Courses

Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Jun 15th 2026
5-12 Weeks
Health Coaching Conversations (Coursera) Coursera
Imperial College London

Health Coaching Conversations (Coursera)

Are you a healthcare practitioner or student in a healthcare field? Do you want to learn how to have more empowering conversations with your patients and support them to take control of their own health and wellbeing? Are you looking for a course to start learning these skills that also fits with your busy life? If so, this is the course for you!

Jun 17th 2026
4 Weeks
International Organizations Management (Coursera) Coursera
University of Geneva

International Organizations Management (Coursera)

This course provides an introduction to International Organizations and the United Nations, and explores how business and management tools can be applied in these settings to achieve better, more effective results. With a focus on cross-sector partnerships in a changing world, the course offers you insights into the inner workings of international organizations and the challenges they face today.

Jun 15th 2026
5-12 Weeks
The Data Scientist's Toolbox (Coursera) Coursera
Johns Hopkins University

The Data Scientist's Toolbox (Coursera)

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

Jun 15th 2026
4 Weeks
Process Data from Dirty to Clean (Coursera) Coursera
Google

Process Data from Dirty to Clean (Coursera)

This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Jun 16th 2026
5-12 Weeks
Regression Modeling in Practice (Coursera) Coursera
Wesleyan University

Regression Modeling in Practice (Coursera)

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

Jun 19th 2026
4 Weeks
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference.

Jun 15th 2026
4 Weeks
Clinical Epidemiology (Coursera) Coursera
Universiteit Utrecht

Clinical Epidemiology (Coursera)

Evidence forms the basis of modern medicine. Clinical research provides us with this evidence, guiding health professionals towards solutions to problems that they face in daily practice. Transferring existing problems in medical practice to a research setting is a challenging process that requires careful consideration. The practice of clinical epidemiology aims to address this through the application of established approaches for research in human populations, while at all times focussing on the problem at hand from a clinical perspective.

Jun 16th 2026
5-12 Weeks
Guided Imagery (Coursera) Coursera
University of Minnesota

Guided Imagery (Coursera)

In this course, you will learn how you can use imagery and imagery interventions to help with symptom management and healing, as well as to enhance overall health and wellbeing. You will experience a variety of imagery interventions and evaluate how they might be helpful in providing relief or enhancing quality of life.

Jun 17th 2026
5-12 Weeks
Analyze Data to Answer Questions (Coursera) Coursera
Google

Analyze Data to Answer Questions (Coursera)

This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations on your data to complete business objectives.

Jun 16th 2026
4 Weeks