Adapted Theory for Unintended Consequences of the Electronic Health Record and Cognitive Load in Nurses

The Systems Engineering Initiative for Patient Safety 2.0 framework guides research involving a patient safety construct focused on unintended consequences of the electronic health record and nurses' cognitive load concepts. Theory analysis led to the SEIPS 2.0 framework adaptation to illustrate, define, and predict propositional relationships.

Continuing Education Instructions and Disclosure Information:

Contact hours available until 12/31/2024.

Requirements for Successful Completion:
Complete the learning activity in its entirety and complete the online nursing continuing professional development evaluation. You will be able to print your NCPD certificate at any time after you complete the evaluation.

Disclosure of relevant financial relationships with ineligible companies (planners, faculty, reviewers, authors):

Faculty, Planners, and Reviewers Conflict of Interest Disclosure:
The editor, content reviewers, and director of education reported no actual or potential conflict of interest in relation to this continuing nursing education article.

Author(s) Disclosures:
There are no author disclosures to declare.

Commercial Support:
No commercial support declared.

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 continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation. Anthony J. Jannetti, Inc. is a provider approved by the California Board of Registered Nursing, provider number CEP 5387.

This article was reviewed and formatted for contact hour credit by Michele Boyd, MSN, RN, NPD-BC, Education Director, Anthony J. Jannetti, Inc.

Learning Outcome:
After completing this learning activity, the learner will be able to discuss how an adapted theory can be applied to nursing research to advance the study and understanding of unintended consequences of the electronic health record and cognitive load.