Artificial intelligence (AI) applications in healthcare and considerations for nursing education.

Aim/objective: To review the current AI applications in healthcare and explore the implications for nurse educators in innovative integration of this technology in nursing education and training programs.

Background: There are a variety of Artificial Intelligence (AI) applications currently supporting patient care in many healthcare settings. A nursing workforce that leverages healthcare technology to enhance efficiency and accuracy of patient health outcomes is necessary.

Transitioning Behavioral Healthcare in Louisiana Through the COVID-19 Pandemic: Policy and Practice Innovations to Sustain Telehealth Expansion.

A statewide COVID-19 quarantine order forced an abrupt shift for Louisiana's behavioral health providers who provide mental health and substance abuse treatment services. The Center for Evidence to Practice conducted a study of this unprecedented shift to better understand the disruption and continuation of care during early statewide adoption of telemental health. The Center performed a mixed-method assessment including a series of focus groups and key informant interviews followed by a survey of over 300 responding providers.

Specialization Within a Specialty: Advanced Practice Psychiatric Nursing Pathways for the Greatest Good.

Dr. Hildegard Peplau's theory on the primacy of the therapeutic interpersonal relationship remains central to the role of the psychiatric-mental health advanced practice nurse (PMH APN). In 1989, Peplau published her thoughts on how World War II (WWII) shaped early PMH APN practice.

Rural-urban disparities in the distribution of dental caries among children in south-eastern Louisiana: a cross-sectional study.

Introduction: The purpose of this cross-sectional study was to assess the prevalence of dental caries among elementary school-aged children in rural compared to urban communities within south-eastern Louisiana that have participated in a school-based dental screening and sealant program.

Methods: The authors utilized de-identified Sealant Efficiency Assessment for Locals and States screening data for 2007-2014 provided by The Health Enrichment Network oral health program. The screening was conducted throughout 46 elementary schools in Louisiana.

A 12-Week Evidence-Based Education Project to Reduce Cardiovascular and Metabolic Risk in Adults With Serious Mental Illness in the Integrated Care Setting.

Individuals with serious mental illness (SMI) such as schizophrenia spectrum disorders, severe bipolar disorder, or severe recurrent major depressive disorder have a shorter life expectancy compared with those in the general population. This is largely due to the higher rates of diabetes, hyperlipidemia, and hypertension. Treatment adherence, diet, exercise, and weight management are modifiable risk factors for these cardiometabolic conditions, yet the use of educational lifestyle interventions is not common practice in the clinical setting.

Prescription opioid use among individuals with serious mental illness.

Prevalence and correlates of prescription opioid use were explored in individuals with serious mental illness (SMI) by examining a sample of adults from two inner city community psychiatry clinics. Of 271 participants, 12.9% (n = 35) were on a prescribed opioid.

Interrater reliability of the modified Monitoring of Side Effects Scale for assessment of adverse effects of psychiatric medication in clinical and research settings.

The assessment of adverse effects of psychiatric medications is important in clinical and research settings because they are often associated with medication discontinuation, symptom exacerbation, and reduced quality of life. Currently available assessment tools are either limited with regard to the number and variety of included adverse effects or are not practical for use in most clinical or research settings owing to specialized rater training required and administration length. This report describes a modification of the Monitoring of Side Effects Scale (MOSES), an established adverse effect rating scale, by adding severity anchors to improve its reliability and ease of use.