Nursing and Big Data

Nursing and Big Data

Type: Blended Online Course 
Date: September 5-November 1, 2017
Location: Online

Contact Hours


Challenged by the volumes of data you are required to use in making clinical or leadership decisions? Do you want to better grasp how to manage data and leverage it to improve performance and patient outcomes?

This brain-based learning course is designed to engage you in the world of Big Data – join online interactions with your knowledge coach and peers to debate strategic concepts while sharpening your critical thinking skills. Experience the Big Data educational game to gain insights about opportunities to apply big data to nursing decisions. Take the Big Data self-assessment to pinpoint your strengths and then share your capabilities during a virtual session with your peers and knowledge coach.

The course includes contemporary information surrounding the big data explosion, predictive analytics, and how big data can be harnessed for healthcare. You will gain analytics skills through the application of concepts via a hands-on session using the IBM ® Watson Analytics platform - analyze data and make real world connections to your nursing practice. Course elements have been linked to competencies identified in ANA’s Nursing Informatics: Scope and Standards of Practice.

Event Details


Virtual Session Dates & Times:

Dates: September 5 and October 3, 2017
Time: 5:00 PM to 5:45 PM, ET (45 minute sessions)

Date: November 1, 2017
Time: 5:00 PM to 6:30 PM, ET (1.5 hour session)

Key Learning Outcomes

  • Engage with brain-based learning to apply big data to nursing decisions.
  • Gain insight on how big data and predictive analytics can be harnessed for health care.
  • Assess your strengths and share your experiences with peers and an expert knowledge coach.

Presented By


Marilyn Nielsen, MS, BSN, RN-BC

Marilyn Nielsen has many years of experience in nursing, having worked in Critical Care areas as a staff nurse and in Emergency care as staff and flight nurse. After receiving a Master’s of Science in Nursing Informatics from the University of Colorado College of Nursing, Ms. Nielsen worked as a consultant for McKesson provider technologies. She was clinical informatics manager for Centura Health Care system in Denver, Colorado at Littleton hospital, where she served as facility lead for EHR system up-grades, participated in EHR streamlining projects, and helped to implement BCMA technology at several Centura acute care hospitals. She also served on both corporate and facility specific multi-discipline teams for their system wide CPOE implementation, which included physician order set design and testing, and re-design of nursing orders. Most recently, Marilyn taught graduate nursing courses in informatics, and systems life cycle at the University of Colorado College of Nursing. Marilyn is published in the areas of telehealth and e-health, and she helped develop the National Council of State Boards of Nursing Transition to Practice - Informatics Module.

Diane J. Skiba, Ph.D., FAAN, FACMI, ANEF

Dr. Diane J. Skiba is Professor and Director for Healthcare Informatics Specialty, ranked # 6 by US News & World Report, at the University of Colorado College of Nursing. Over her career, she managed numerous grants to prepare the nursing workforce that included a university based training grant (2.6 M) funded by the Office of the National Coordinator of Health Information Technology to prepare health care professionals for highly specialized health I.T. roles. She recently completed a HRSA grant that incorporates the use of electronic health records, telehealth and virtual simulations to prepare advanced practice nurses and pharmacists for interprofessional care. She is the editor for Emerging Technologies for the journal, Nursing Education Perspectives. She is a Fellow in the American College of Medical Informatics and an honorary Fellow in the American Academy of Nursing and the Academy of Nursing Education. She is the Chair of the International Medical Informatics Association Nursing Informatics Special Interest Group

Pricing Information

44 seats available.
Price: $450.00

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