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web231115 - Cognitive Load Correlation with Unintended Consequences of the Electronic Health Record: A Data Science Focus


‐ Nov 15, 2023 4:00pm


Credits: None available.

This webinar presents a data science focus on a novel study of the correlation between cognitive load and unintended consequences of the EHR. Data planning, collection, analysis, and other methods will be detailed to illustrate capturing new knowledge. Finally, data result interpretation for informatics nurse practice recommendations will be explained.

Learning Outcome
At the end of this learning activity, the learner will be able to explain the correlation data science related to cognitive load and unintended consequences of the EHR.​

Disclosures
This study was funded by the Emergency Nursing Association (ENA) and Sigma Foundations [USCeRA 10011084].

Credit Hours:
1.0 contact hour

Accreditation Statement
This educational activity is jointly provided by Anthony J. Jannetti, Inc. (AJJ) and the American Nursing Informatics Association (ANIA).

Anthony J. Jannetti, Inc. is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center’s Commission on Accreditation.

Anthony J. Jannetti, Inc. is an approved provider of continuing nursing education by the California Board of Registered Nursing, Provider Number CEP5387.

Introduction:
Dr. Carolyn Harmon is a Nurse Scientist for the Center of Nursing Advancement serving the state of Tennessee and Appalachian Highlands and operated by East Tennessee State University. Dr. Harmon is a Past President of ANIA. She received her Ph.D. from the University of South Carolina and her DNP from the University of Alabama at Birmingham. She is also an ANCC Board Certified Informatics Nurse, Certified Six Sigma Green Belt, fellow in the Amy V. Cockcroft Leadership Program, and a recipient of the state of South Carolina’s Palmetto Gold Award. Dr. Harmon was the 2021-2022 recipient of the ENA and Sigma Foundation’s research grant.


Speaker(s):

Credits

  • 1.00 - CH

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