Date of Submission
Summer 5-9-2022
Document Type
Manuscript
Degree Name
Doctor of Nursing Practice (DNP)
First Advisor
Nicholas R. Webb, DNP, RN, ESQ
Second Advisor
Juli Maxworthy, DNP, Ph.D. (c), MSN, MBA, RN, CNL, CPHQ, CPPS, CHSE, FNAP, FSSH
Abstract
Artificial intelligence's influence on human lives has captured the attention of healthcare professionals around the globe. There is high optimism for healthcare transformation for better and more efficient care delivery using technology in a highly complex work environment. Because of machine-learning models, predicting the likelihood of harm, such as a fall, is possible. Artificial intelligence (AI) calculations create predictive analytics that can be an objective mediator between the patients' clinical presentation and the nurse's judgment. Further, standardization of documentation is made possible because of the technology behind AI. Information models create a clinical support system that guides nurses in preventing falls. The potential of improving documentation efficiencies and preventing documentation burden with AI can impact the partnership between technology and nursing.
While technology has a great potential to improve the nurses' workflow, there are challenges with the nurses' acceptance of the use of AI. Locsin's "Technological Competency as Caring in Nursing" theory demonstrated the simultaneity paradigm that shows the relationship between nursing care and technology working side by side to deliver the best possible patient outcomes. Nursing professionals who understand AI's benefits, challenges, and potentials are instrumental in leading the workforce in collaborating, designing, integrating, and implementing technology into practice.
Recommended Citation
Aquino, Ann, "Nurses Partnering with Technology to Predict the Patients' Risk of Falling Using Artificial Intelligence" (2022). DNP Qualifying Manuscripts. 69.
https://repository.usfca.edu/dnp_qualifying/69
