Creating Perinatal Nursing Care Plans Using ChatGPT: A Pathway to Improve Nursing Care Plans and Reduce Documentation Burden.

Background: Extensive time spent on documentation in electronic health records (EHRs) impedes patient care and contributes to nurse burnout. Artificial intelligence-based clinical decision support tools within the EHR, such as ChatGPT, can provide care plan recommendations to the perinatal nurse. The lack of explicit methodologies for effectively integrating ChatGPT led to our initiative to build and demonstrate our ChatGPT-4 prompt to support nurse care planning.

Investigating the mediating role of physical activity within the association between food insecurity and BMI.

Food insecurity is linked with obesity and while the mechanisms behind this association are complex, lower levels of leisure-time physical activity in those with food insecurity may contribute to this. Individual-level factors (such as concerns of performing physical activity) may partly determine levels of physical activity within individuals with food insecurity, as such individuals may seek to minimise their levels of physical activity in order to preserve energy. Using the Food Insecurity Physical Activity Concerns Scale (FIPACS) (used to measure concerns of performing leisure-time physical activity, focusing on factors specific to food insecurity), the current study investigated whether the association between household food insecurity and body mass index (BMI) is explained by a mediation pathway of FIPACS scores and leisure-time physical activity.

Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study.

Objectives: Examine electronic health record (EHR) use and factors contributing to documentation burden in acute and critical care nurses.

Materials And Methods: A mixed-methods design was used guided by Unified Theory of Acceptance and Use of Technology. Key EHR components included, Flowsheets, Medication Administration Records (MAR), Care Plan, Notes, and Navigators.

The use of artificial intelligence for graduate nursing education: An educational evaluation.

With artificial intelligence (AI) rapidly advancing, advanced practice nurses must understand and use it responsibly. Here, we describe an assignment in which Doctor of Nursing Practice (DNP) students learned to use generative text AI. Using our program and course outcomes, developed from the 2021 American Association of Colleges of Nursing (AACN) Essentials competency for DNP students to learn and use AI, we reviewed the literature seeking examples using ChatGPT for the DNP informatics course.

Use of Electronic Health Records and Documentation Burden Among Nurses in Acute and Critical Care.

Nurses who provide the majority of hands-on care for hospitalized patients are disproportionately affected by the current state of electronic health records (EHRs), and little is known about their lived perception of EHR use. Using a mixed-methods research design, we conducted an in-depth analysis and synthesis of data from EHR usage log files, interviews, and surveys and assessed factors contributing to the nurse documentation burden in acute and critical at a large academic medical center. There remain substantial spaces where we can develop viable solutions for enhancing the usability of multi-component EHR systems.

The association between COVID-19 related income loss and diet quality: The mediating role of distress.

The COVID-19 lockdowns saw many individuals lose income, experience distress and increase intake of foods that would typically be considered less 'healthy' (more processed and less fresh produce). Establishing whether there are direct and indirect links between these variables would be of benefit in preparing for similar future events but also has implications for the current global financial climate, where many are experiencing relative decreases in income. Adults in two locations (UK and Australia) (N = 917) completed online questionnaires to explore the impact of the first COVID-19 lockdown on their change in income, emotional wellbeing (depression, anxiety, stress, loneliness), resilience and diet quality.

The development and validation of the food insecurity physical activity concerns scale.

Food insecurity - defined as having limited access to nutritious foods - is linked with obesity. Previous research has also shown that food insecurity is associated with lower levels of leisure-time physical activity (physical activity performed outside of essential activities). This association may occur in part due to concerns about preserving levels of energy during times of food shortage.

An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer.

Objective: Our article demonstrates the effectiveness of using a validated framework to create a ChatGPT prompt that generates valid nursing care plan suggestions for one hypothetical older patient with lung cancer.

Method: This study describes the methodology for creating ChatGPT prompts that generate consistent care plan suggestions and its application for a lung cancer case scenario. After entering a nursing assessment of the patient's condition into ChatGPT, we asked it to generate care plan suggestions.

Early childhood (1-5 years) obesity prevention: A systematic review of family-based multicomponent behavioral interventions.

Introduction: Globally 38.9 million children under age 5 have overweight or obesity, leading to type 2 diabetes, cardiovascular complications, depression, and poor educational outcomes. Obesity is difficult to reverse and lifestyle behaviors (healthy or unhealthy) can persist from 1.

Standardizing nursing data extracted from electronic health records for integration into a statewide clinical data research network.

Background: Care plans documented by nurses in electronic health records (EHR) are a rich source of data to generate knowledge and measure the impact of nursing care. Unfortunately, there is a lack of integration of these data in clinical data research networks (CDRN) data trusts, due in large part to nursing care being documented with local vocabulary, resulting in non-standardized data. The absence of high-quality nursing care plan data in data trusts limits the investigation of interdisciplinary care aimed at improving patient outcomes.

The impact of spiritual care delivered by nurses on patients' comfort: A propensity score matched cohort utilizing electronic health record data.

Background: Spiritual care has been associated with better health outcomes. Despite increasing evidence of the benefits of spiritual care for older patients coping with illness and aggressive treatment, the role of spirituality is not well understood and implemented. Nurses, as frontline holistic healthcare providers, are in a position to address patients' spiritual needs and support them in finding meaning in life.

The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review.

Objectives: Electronic health records (EHRs) user interfaces (UI) designed for data entry can potentially impact the quality of patient information captured in the EHRs. This review identified and synthesized the literature evidence about the relationship of UI features in EHRs on data quality (DQ).

Materials And Methods: We performed an integrative review of research studies by conducting a structured search in 5 databases completed on October 10, 2022.

Examining Care Planning Efficiency and Clinical Decision Support Adoption in a System Tailoring to Nurses' Graph Literacy: National, Web-Based Randomized Controlled Trial.

Background: The proliferation of health care data in electronic health records (EHRs) is fueling the need for clinical decision support (CDS) that ensures accuracy and reduces cognitive processing and documentation burden. The CDS format can play a key role in achieving the desired outcomes. Building on our laboratory-based pilot study with 60 registered nurses (RNs) from 1 Midwest US metropolitan area indicating the importance of graph literacy (GL), we conducted a fully powered, innovative, national, and web-based randomized controlled trial with 203 RNs.

Nurses' preferences for the format of care planning clinical decision support coded with standardized nursing languages.

Current electronic health records (EHRs) are often ineffective in identifying patient priorities and care needs requiring nurses to search a large volume of text to find clinically meaningful information. Our study, part of a larger randomized controlled trial testing nursing care planning clinical decision support coded in standardized nursing languages, focuses on identifying format preferences after random assignment and interaction to 1 of 3 formats (text only, text+table, text+graph). Being assigned to the text+graph significantly increased the preference for graph (P = .

Clinical Decision Support Systems for Palliative Care Management: A Scoping Review.

Context: With the expansion of palliative care services in clinical settings, clinical decision support systems (CDSSs) have become increasingly crucial for assisting bedside nurses and other clinicians in improving the quality of care to patients with life-limiting health conditions.

Objectives: To characterize palliative care CDSSs and explore end-users' actions taken, adherence recommendations, and clinical decision time.

Methods: The CINAHL, Embase, and PubMed databases were searched from inception to September 2022.

COVID-19 prevention behaviour is differentially motivated by primary psychopathy, grandiose narcissism and vulnerable Dark Triad traits.

Dark Triad traits (psychopathy, narcissism) are associated with nonadherence to COVID-19 prevention measures such as social distancing and wearing face masks, although the psychological mechanisms underpinning this relationship remain unclear. In contrast, high threat-sensitivity may motivate compliance, and maybe seen in relation to vulnerable dark traits (secondary psychopathy, vulnerable narcissism and borderline personality disorder). The relationship between vulnerable dark traits and COVID-19 prevention behaviour has not been examined.

An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials.

We present an autonomous chemical synthesis robot for the exploration, discovery, and optimization of nanostructures driven by real-time spectroscopic feedback, theory, and machine learning algorithms that control the reaction conditions and allow the selective templating of reactions. This approach allows the transfer of materials as seeds between cycles of exploration, opening the search space like gene transfer in biology. The open-ended exploration of the seed-mediated multistep synthesis of gold nanoparticles (AuNPs) via in-line ultraviolet-visible characterization led to the discovery of five categories of nanoparticles by only performing ca.

Digitization and validation of a chemical synthesis literature database in the ChemPU.

Despite huge potential, automation of synthetic chemistry has only made incremental progress over the past few decades. We present an automatically executable chemical reaction database of 100 molecules representative of the range of reactions found in contemporary organic synthesis. These reactions include transition metal-catalyzed coupling reactions, heterocycle formations, functional group interconversions, and multicomponent reactions.

Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation.

Background: Poor usability is a primary cause of unintended consequences related to the use of electronic health record (EHR) systems, which negatively impacts patient safety. Due to the cost and time needed to carry out iterative evaluations, many EHR components, such as clinical decision support systems (CDSSs), have not undergone rigorous usability testing prior to their deployment in clinical practice. Usability testing in the predeployment phase is crucial to eliminating usability issues and preventing costly fixes that will be needed if these issues are found after the system's implementation.

Knee Flexion Angle Measurement Using Virtual Assessment Tools: Correct Procedure and Potential Pitfalls.

Virtual patient assessment will inevitably require smartphone technology to remotely measure knee range of motion. We conducted an experiment to analyze the impact of observer position relative to the flexed knee on the perceived angle measured using an electronic application (Dr. Goniometer) for iPhone.

Conducting a representative national randomized control trial of tailored clinical decision support for nurses remotely: Methods and implications.

Clinical Decision Support (CDS) systems, patient specific evidence delivered to clinicians via the electronic health record (EHR) at the right time and in the right format, has the potential to improve patient outcomes. Unfortunately, outcomes of CDS research are mixed. A potential cause lies in its testing.

Spiritual Interventions Delivered by Nurses to Address Patients' Needs in Hospitals or Long-Term Care Facilities: A Systematic Review.

Despite increasing evidence of the benefits of spiritual care and nurses' efforts to incorporate spiritual interventions into palliative care and clinical practice, the role of spirituality is not well understood and implemented. There are divergent meanings and practices within and across countries. Understanding the delivery of spiritual interventions may lead to improved patient outcomes.

Dignity therapy intervention fidelity: a cross-sectional descriptive study with older adult outpatients with cancer.

Objectives: Intervention fidelity is imperative to ensure confidence in study results and intervention replication in research and clinical settings. Like many brief protocol psychotherapies, Dignity Therapy lacks sufficient evidence of intervention fidelity. To overcome this gap, our study purpose was to examine intervention fidelity among therapists trained with a systematized training protocol.

The association between COVID-19 related food insecurity and weight promoting eating behaviours: The mediating role of distress and eating to cope.

Food insecurity (a lack of stable access to nutritious food) is reliably associated with higher BMI, although the underlying mechanisms are unclear. Past research indicates that this relationship may, in part, be explained by the distress of being food insecure and using food as a coping mechanism. While previous work has focused on long-term food insecurity, the first COVID-19 national lockdown presented a unique opportunity to establish if the same relationships existed for individuals experiencing pandemic related food insecurity.

Nurses' Perceptions of Recommended Fall Prevention Strategies: A Rapid Review.

Background: Limited studies have synthesized evidence on nurses' perceptions of recommended fall prevention strategies and potential differences between those and the practiced strategies.

Purpose: To synthesize evidence about nurses' perceptions of recommended fall prevention strategies for hospitalized adults.

Methods: Using PubMed, 50 records underwent abstract and full-text screening, and 10 studies were retained.