Florence Nightingale is the modern founder of nursing and professionalized nursing by creating training programs for aspiring nurses. Nursing standards for education started in the early days of... Show More

Florence Nightingale is the modern founder of nursing and professionalized nursing by creating training programs for aspiring nurses. Nursing standards for education started in the early days of nursing education, beginning in the late 1800s. National accreditation standards shape nursing educational programs and clinical practices; however, state-level boards of nursing establish and monitor practice standards. Nursing education accreditation agencies recently shifted their focus to competency-based education, including core abilities required to function as a nurse, provide comprehensive care, and meet patients' complex and diverse needs in every setting. This manuscript reviews the state of current competencies that educational institutions are adopting. A relationship between competencies, standards of practice, and emerging opportunities is needed to develop further education programs that address current clinical practice needs in today's technical and post-pandemic work and clinical environments.

Despite long histories, the disciplines of healthcare performance analytics and human capital analytics followed parallel but separate tracks during the 19th and 20th centuries. Little has been done... Show More

Despite long histories, the disciplines of healthcare performance analytics and human capital analytics followed parallel but separate tracks during the 19th and 20th centuries. Little has been done to integrate these two analytic disciplines to improve the delivery of medical care and the sustainability of healthcare organizations. Today, there is an increased demand for healthcare to meet the aging world population, spiraling healthcare costs, and a shortage of human resources to meet patient needs. It is imperative that healthcare professionals apply innovations to explore and optimize value from a combined discipline of healthcare human capital measurement and reporting.

The hospital discharge is non-standardized and frequently marked with poor quality and is an important driver of healthcare costs. There is now ample evidence that improving communication at... Show More

The hospital discharge is non-standardized and frequently marked with poor quality and is an important driver of healthcare costs. There is now ample evidence that improving communication at hospital discharge can prevent problems after hospital discharge including rehospitalization. The ReEngineered Discharge (RED) successfully delivers high quality transitions in care, improves patient satisfaction, achieves patient-centered outcomes, and reduces rehospitalization by over 20% while lowering healthcare costs. However, implementing these evidence-based processes into US hospitals requires smooth integration into customary hospital workflows, while not increasing health professional time needed to carry out these duties. Now, rapidly evolving health-information technology systems using conversational agents such as the MayaRED have great potential to deliver the benefits of RED, with the added benefits of saving nurses' and other health professionals' time, delivering post-discharge reinforcement of the care plan and connecting chronic care patients to remote patient monitoring platforms.

Patients are harmed too often by the care they receive today. The authors discuss a recent large study of harm, its results in terms of harm incidence, and distribution, and compare these with prior... Show More

Patients are harmed too often by the care they receive today. The authors discuss a recent large study of harm, its results in terms of harm incidence, and distribution, and compare these with prior studies of harm in hospitals. The authors suggest what these results imply in terms of improving the safety of care, and how to accelerate it. They go over the roles of boards, and leadership including the c-suite. They discuss metrics and achieving sustainable results. They also evaluate the role of culture, and the future potential of artificial intelligence to improve safety. Overall, there is great room for improvement, but achieving it will require addressing all these areas.

The authors return to the points made in their article published in the inaugural edition of this journal to expand upon recommendations to healthcare industry leadership regarding electrical power... Show More

The authors return to the points made in their article published in the inaugural edition of this journal to expand upon recommendations to healthcare industry leadership regarding electrical power security. If best practice is to be data driven, then healthcare executives can take action by funding front-line experts to participate in the United States standards system as a user-interest to assure best practice has been discovered by a balance of interests. As of yet, there is no standard approach for developing resilience metrics for hospitals in Italy, in the European Union, or the United States. When that condition is present, then leaders and managers will default to federal agencies or the market itself – an imperfect taskmaster. Engineers learn from failures, but they do not like to learn the hard way. Perhaps artificial intelligence will assist this journey in reconciling the competing requirements of safety and economy in healthcare facilities. In any case, best practice discovery should rest upon the foundation of data recommended by Lord Kelvin.

Artificial intelligence (AI) is being rapidly integrated into healthcare with a naïve belief in the objectivity of AI and a complacent trust in the omniscience of computational knowledge. While AI... Show More

Artificial intelligence (AI) is being rapidly integrated into healthcare with a naïve belief in the objectivity of AI and a complacent trust in the omniscience of computational knowledge. While AI has the potential to transform healthcare, there are significant ethical and safety concerns. The pace of AI development and the race for AI supremacy is leading to a rapid, and largely unregulated, proliferation of AI applications. It is important to understand that AI technologies bring new and accelerated risks and need meaningful human control and oversight. However, standards and regulation in the field are at a very nascent stage and need urgent attention. This paper explores the issues related to reliability, transparency, bias, and ethics to illustrate the ground realities and makes a case for developing standards and regulatory frameworks for the safe, effective, and ethical use of AI in healthcare.

Hospital discharge is one of the most vulnerable moments in a patient's experience of care. One relatively unexplored area to improving transitions of care is how to meet the needs of diverse... Show More

Hospital discharge is one of the most vulnerable moments in a patient's experience of care. One relatively unexplored area to improving transitions of care is how to meet the needs of diverse populations in a growing multicultural world. The intersectionality of language, race, ethnicity, and culture adds an additional layer of complexity to the hospital discharge process and raises the already high risk of communication failures. This article aims to review the role of language, race, ethnicity, and culture during the hospital discharge process; to discuss potential solutions to improve discharge outcomes amongst diverse populations; and to identify priority areas for future research.