Using AI to Transform Nursing Workflow: And Other Recommended Reading from AJN’s May Issue
On the cover, Michelle Nai, MSN, RN, GERO-BC, at left, and Christine Waszynski, DNP, APRN, GNP-BC, at right, do doll therapy with a patient at the Therapeutic Hub—a nurse-led space at Hartford Hospital in Hartford, Connecticut, that offers multisensory activities to hospitalized older adults tailored to their interests and needs. Read Nai and colleagues’ Special Feature for an overview of how the Hub operates.
The May issue of AJN is now live.
This month’s CE article, “Ascaris lumbricoides: A Clinical Case Report,” follows a woman who developed ascariasis, an infection caused by the parasitic roundworm Ascaris lumbricoides, and discusses clinical manifestations, diagnostic testing, and treatment, as well as nursing management for those with suspected infection.
In “Using an AI-Powered Solution to Transform Nursing Workflow and Improve Inpatient Care: A Retrospective Observational Study,” the authors evaluate an AI–driven technology that automates patient requests and directs them to the appropriate teams in other departments instead of to the nurses’ station, thereby eliminating the need for nursing intervention in noncare tasks. (Open access)
What factors influence nurses’ attitudes toward medical errors and the barriers to reporting these errors? Read “Understanding ICU Nurses’ Attitudes Toward Medical Errors and Error Reporting: A Cross-Sectional Study” to learn […]