Creating Perinatal Nursing Care Plans Using ChatGPT: A Pathway to Improve Nursing Care Plans and Reduce Documentation Burden.

Background: Extensive time spent on documentation in electronic health records (EHRs) impedes patient care and contributes to nurse burnout. Artificial intelligence-based clinical decision support tools within the EHR, such as ChatGPT, can provide care plan recommendations to the perinatal nurse. The lack of explicit methodologies for effectively integrating ChatGPT led to our initiative to build and demonstrate our ChatGPT-4 prompt to support nurse care planning.

Investigating the mediating role of physical activity within the association between food insecurity and BMI.

Food insecurity is linked with obesity and while the mechanisms behind this association are complex, lower levels of leisure-time physical activity in those with food insecurity may contribute to this. Individual-level factors (such as concerns of performing physical activity) may partly determine levels of physical activity within individuals with food insecurity, as such individuals may seek to minimise their levels of physical activity in order to preserve energy. Using the Food Insecurity Physical Activity Concerns Scale (FIPACS) (used to measure concerns of performing leisure-time physical activity, focusing on factors specific to food insecurity), the current study investigated whether the association between household food insecurity and body mass index (BMI) is explained by a mediation pathway of FIPACS scores and leisure-time physical activity.

Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study.

Objectives: Examine electronic health record (EHR) use and factors contributing to documentation burden in acute and critical care nurses.

Materials And Methods: A mixed-methods design was used guided by Unified Theory of Acceptance and Use of Technology. Key EHR components included, Flowsheets, Medication Administration Records (MAR), Care Plan, Notes, and Navigators.

The use of artificial intelligence for graduate nursing education: An educational evaluation.

With artificial intelligence (AI) rapidly advancing, advanced practice nurses must understand and use it responsibly. Here, we describe an assignment in which Doctor of Nursing Practice (DNP) students learned to use generative text AI. Using our program and course outcomes, developed from the 2021 American Association of Colleges of Nursing (AACN) Essentials competency for DNP students to learn and use AI, we reviewed the literature seeking examples using ChatGPT for the DNP informatics course.

Use of Electronic Health Records and Documentation Burden Among Nurses in Acute and Critical Care.

Nurses who provide the majority of hands-on care for hospitalized patients are disproportionately affected by the current state of electronic health records (EHRs), and little is known about their lived perception of EHR use. Using a mixed-methods research design, we conducted an in-depth analysis and synthesis of data from EHR usage log files, interviews, and surveys and assessed factors contributing to the nurse documentation burden in acute and critical at a large academic medical center. There remain substantial spaces where we can develop viable solutions for enhancing the usability of multi-component EHR systems.