Are Nursing Faculty Future-Ready? The Effects of Emerging Technologies on Nursing Education.

Background: Preparing the next generation of nurses requires consideration for the integration of emerging technologies. This refers specifically to technologies that will shape and affect how care is delivered-not in today's health care facilities but in facilities 20 years from now and beyond.

Method: A cross-sectional survey examining how seven emerging technologies were integrated into nursing curricula was developed and distributed to nursing faculty.

Do Patient Engagement IT Functionalities Influence Patient Safety Outcomes? A Study of US Hospitals.

Objective: Patient engagement using health information technology (IT) functionalities can be a powerful tool in managing their own care for better health outcomes. Therefore, this study explores whether patient engagement IT functionalities and electronic health record (EHR) can affect patient safety outcomes.

Design: Using longitudinal study design for general acute care hospitals within the United States, we examine the interaction effects of EHR and patient engagement IT functionalities on patient safety outcomes (adverse incident rate) using a generalized estimating equation.

Intention to Use Behavioral Health Data From a Health Information Exchange: Mixed Methods Study.

Background: Patients with co-occurring behavioral health and chronic medical conditions frequently overuse inpatient hospital services. This pattern of overuse contributes to inefficient health care spending. These patients require coordinated care to achieve optimal health outcomes.

Predictors of Weight Change: Findings From an Employee Wellness Program.

Employers are instituting employee wellness programs that include educational, lifestyle coaching, and weight and other condition management components to address obesity-related issues in the workplace. However, the findings of such wellness initiatives have been mixed. The purpose of this exploratory study is to determine whether the readiness for change measures are important predictors of weight loss in an employee wellness program.