Journal article
AI ‐powered nursing handoffs: Introducing and evaluating the patient report template
Learning health systems
07/10/2025
DOI: 10.1002/lrh2.70026
Appears in UI Libraries Support Open Access
Abstract
Purpose
To understand (1) if nurses view the individual components of the Patient Report Template as useful in their day-to-day workflow, and (2) understand the perceptions of nurses related to artificial intelligence use in their day-to-day work.
Materials and Methods
A survey was distributed to 2118 nurses at the University of Iowa Health Care System in order to gather feedback over each component of the patient report template and to assess perceptions about artificial intelligence in their work; 108 nurses elected to participate in the study and share their opinions.
Results
The study found that (1) nurses have reservations about the accuracy and trustworthiness of artificial intelligence in their work, but believe that it will provide utility to them, and (2) most components of the Patient Report Template, with exceptions, received favorable ratings in terms of their perceived usefulness in nurses' work.
Conclusion
While nurses believe that artificial intelligence will bring utility to their work, they feel that these systems have the potential for inaccuracy and may not be trustworthy. This highlights a need for education, transparency, and support when artificial intelligence systems are implemented. Highly rated sections of the Patient Report Template like Patient Profile, Actions, and Safety suggest that these components could be beneficial to nurses, aiding the accuracy and completeness of nursing handoffs.
Details
- Title: Subtitle
- AI ‐powered nursing handoffs: Introducing and evaluating the patient report template
- Creators
- Gabriel Vald - University of IowaYusuf Sermet - University of IowaNai‐Ching Chi - University of IowaIbrahim Demir - Tulane University
- Resource Type
- Journal article
- Publication Details
- Learning health systems
- DOI
- 10.1002/lrh2.70026
- ISSN
- 2379-6146
- eISSN
- 2379-6146
- Publisher
- Wiley
- Language
- English
- Electronic publication date
- 07/10/2025
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; Iowa Neuroscience Institute; IIHR--Hydroscience and Engineering; Nursing; Injury Prevention Research Center
- Record Identifier
- 9984848000302771
Metrics
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