AONL
Content by and about the American Organization for Nursing Leadership (AONL).
Last October we lost one of the true visionaries in our profession, Karlene Kerfoot. She was brilliant and insightful, bringing a unique mix of humor, humility, compassion and strategic vision to her work as a nurse leader.
We are on the cusp of a major transformation in health care. Artificial intelligence (AI) promises to be a revolutionary innovation that will greatly impact nursing education and practice.
ÍÃ×ÓÏÈÉúthanks members who participated in the 2024 Needs Assessment fielded electronically in April. More than 1,170 nurse leaders shared their opinions on the future of nursing leadership, AONL’s role in solving member challenges, and the benefits and resources offered.
Nurses founding businesses? This is not the reason that most of us went into nursing in the first place. Yet nurses are good at seeing the needs of their patients. And to meet the needs they see, many nurses have found themselves in the shoes of a business owner.
Artificial intelligence (AI) in health care is growing at an exponential rate and health systems are no longer faced with a choice of if they will implement AI, but how and what to implement as part of their digital strategy.
Utilizing technology in health care can either be beneficial or problematic. It is vital that bedside nurses be engaged in the process of integrating technology into nursing practice.
Emerging technologies and artificial intelligence (AI) in health care often involve the collection, storage and analysis of large amounts of patient data. But the number of data breaches in recent years have shown health care organizations to be vulnerable.
Hospitals with greater COVID-19 patient loads confronted higher adverse events for all patients, an Agency for Healthcare Research and Quality study found.
Using sterile covers to protect sterile surgical goods from bacterial air contamination while waiting for an operation to begin showed no increased bacterial air contamination after 15 hours, according to a randomized controlled trial.
When clinicians hear patients described with negatively biased language, they are less likely to recall critical health details, which can influence the care received, a study found.