Big Ten Academic Alliance Nursing Informatics Collaborative Webinar Series

Big Ten Academic Alliance Nursing Informatics Collaborative Webinar Series

Nursing Informatics Curriculum in Changing Health Care Environment: Current Gaps and Practical Updates

Thursday, Sept. 19, 2019


Nationwide, the health care system is undergoing profound changes, including a shift from volume-based care to value-based care with an increasing emphasis on population health. A robust health informatics infrastructure is essential to effective and efficient health care delivery systems, and most hospitals are working on optimizing and harmonizing integrated electronic health records (EHR) while constantly implementing new technologies. Notable trends in current health information technology include more active use of mobile devices, eHealth/mHealth technologies, patient portals, big data, and data analytics (predictive modeling).

Health care informatics is an essential component of nursing education, and it is vital that nursing programs deliver the most up-to-date health informatics content. However, a lack of resources and expertise in this field are concerns in nursing education.


At the end of this webinar, participants will be able to:

  1. Describe the major shift in health care and current trends in health informatics
  2. Provide a historical overview of nursing informatics education and competencies
  3. Identify current gaps in nursing informatics curricula
  4. Use a practical guide to develop nursing/health care informatics courses for different levels of nursing education (approaches and resources)


Eun-Shim Nahm, PhD, RN, FAAN
Professor and Program Director
Master of Science in Nursing, Nursing Informatics Specialty
University of Maryland School of Nursing

Stephanie Poe, DNP, MScN, RN-BC
Chief Nursing Information Officer
Senior Director of Nursing, Quality and Informatics
The Johns Hopkins Hospital/Johns Hopkins Health System

Continuing Education (CE) for Nurses

Nurses who attended the entire webinar and complete the online evaluation may request and receive a certificate awarding 1 CE. Partial CE is not provided. The request for CE and a completed evaluation needed to be submitted within 30 days following the event. The University of Maryland School of Nursing is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation.

Fees and Registration

The Big Ten Academic Alliance’s Nursing Informatics Collaborative is supporting the full cost of these webinars and awarding CE certificates.


Planning committee members and faculty involved this continuing education activity did not disclose any conflict of interest or financial relationship with a commercial interest that would bias the content of this presentation. This educational activity has not received any form of commercial support.

Free Online Course in Nursing Informatics

The Big Ten Academic Alliance Nursing Informatics Collaborative also offers a free course for faculty who are new to nursing informatics and who are interested in a broad overview of the discipline.

The course integrates various nursing informatics standards into the curriculum and provides examples of methods, tools, and learning resources to teach them. Subjects include:

  • knowledge complexity
  • informatics literacy
  • nursing knowledge work
  • data standards and standardized languages
  • clinical decision support
  • future trends.

The course is a collaborative effort between the University of Minnesota, the Gordon and Betty Moore Foundation, and the American Association of Colleges of Nursing.

Take the Course

Explore the 2017-18 Webinar Series:‌

No. 1: Big Data: What is it and why is it important for nursing?

March 9, 2017

Thomas R. Clancy, PhD, MBA, RN, FAAN
University of Minnesota School of Nursing

This webinar provides an overview of data science and its potential benefits to research — specifically nursing research. The presentation begins with differentiating between data analytics, data science, and big data. Next, Dr. Clancy discusses the seven V’s of big data (volume, velocity, variety, veracity, variability, visualization, value) then continues with explicating research approaches and methods used with large, complex data sets.  

Watch Webinar

No. 2: Machine Learning in the Age of Health Care Analytics

April 20, 2017

Warren D’Souza, PhD, MBA, FAAPM
Vice President, Enterprise Data & Analytics
University of Maryland Medical System

This webinar provides an introduction to machine learning and how it applies to the skill sets and training of data scientists.

Download Slides

No. 3: Big Data in Small Places

Oct. 26, 2017

Todd Papke, PhD
Technology Innovations Scientist
School of Nursing
University of Iowa

This webinar discusses mechanisms for acquiring and organizing large datasets; it covers opportunities and challenges in using big data, including:

  • broadening the research group using mobile applications
  • applying Electronic Health Record (EHR) system data to research
  • identifying available data types
  • understanding requirements for data acquisition.

This webinar is no longer available.

*requires download of WebEx player

No. 4: Mining Health Data for Prediction and Pattern Identification

March 12, 2018

Matthew A. Davis, MPH, PhD
University of Michigan School of Nursing

There is considerable interest among researchers in the application of new methodologies to mine data for prediction and pattern identification. However, there is often a communication disconnect between health content experts and those who possess the technical knowledge of data mining methods.  The purpose of this seminar is to provide a conceptual overview of popular data mining techniques. In doing so, example applications of the techniques covered to health research will be presented.

This webinar is no longer available.