Causal Analysis in Action: Enhancing Efficiency in Nursing Documentation

This session provides an overview of a hospital pilot program deploying causal analysis and generative artificial intelligence to identify, explain, and reduce drivers of nursing documentation burden. The presentation also provides recommendations and lessons learned, including the development of metrics and validation of data normalization techniques, and the analysis process used for intervention design and prioritization will serve to guide future work in extending the body of knowledge on causal analysis in support of reducing nursing documentation burden.

Continuing Education Instructions and Disclosure Information:

Contact hours available until 3/29/2027.

Requirements for Successful Completion:
Complete the learning activity in its entirety and complete the online nursing continuing professional development (NCPD) 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/speakers, reviewers):

Planning Committee and Abstract Reviewer Disclosures:
Katherine Taylor Pearson discloses that she serves as a consultant for Safen Medical.
There are no other Planning Committee and Abstract Reviewer disclosures to declare.

Speaker Disclosures:
Kelly Larrabee-Robke discloses that she is an employee of Seam Technologies.

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 nursing continuing professional development 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.

Learning Outcome:
After completing this learning activity, the participant will be able to describe the use of causal analysis and generative artificial intelligence to identify, explain, and reduce drivers of nursing documentation burden.