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No abstract available As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis in the United States, attempts to prevent injury and mortality through nursing research are critical. The National Violent Death Reporting System provides public health surveillance of US violent deaths; however, understanding the National Violent Death Reporting System's research utility is limited. The purpose of our rapid review of the 2019-2023 literature was to understand to what extent artificial intelligence methods are being used with the National Violent Death Reporting System. We identified 16 National Violent Death Reporting System artificial intelligence studies, with more than half published after 2020. The text-rich content of National Violent Death Reporting System enabled researchers to center their artificial intelligence approaches mostly on natural language processing (50%) or natural language processing and machine learning (37%). Significant heterogeneity in approaches, techniques, and processes was noted across the studies, with critical methods information often lacking. The aims and focus of National Violent Death Reporting System studies were homogeneous and mostly examined suicide among nurses and older adults. Our findings suggested that artificial intelligence is a promising approach to the National Violent Death Reporting System data with significant untapped potential in its use. Artificial intelligence may prove to be a powerful tool enabling nursing scholars and practitioners to reduce the number of preventable, violent deaths. Clinical practice nurses need adequate digital competence to use technologies appropriately at work. Questionnaires measuring clinical practice nurses' digital competence lack content validity because attitude is not included as a measure of digital competence. The aim of the current study was to identify items for an item pool of a questionnaire to measure clinical practice nurses' digital competence and to evaluate the content validity. A normative Delphi study was conducted, and the content validity index on item and scale levels was calculated. In each round, 21 to 24 panelists (medical informatics specialists, nurse informatics specialists, digital managers, and researchers) were asked to rate the items on a 4-point Likert scale ranging from “not relevant” to “very relevant.” Within three rounds, the panelists reached high consensus and rated 26 items of the initial 37 items as relevant. The average content validity index of 0.95 (SD, 0.07) demonstrates that the item pool showed high content validity. The final item pool included items to measure knowledge, skills, and attitude. The items included represent the international recommendations of core competences for clinical nursing. Future research should conduct psychometric testing for construct validity and internal consistency of the generated item pool. This pilot study tested the feasibility of Lantern program, an adherence program to HIV medications using WhatsApp, a secure social media messaging application from Meta, for a smartphone-based platform to enhance medication-taking adherence of antiretroviral therapy among people living with HIV in Indonesia. Thirty participants were recruited for this 8-week study. We recruited persons if they had taken antiretroviral therapy for at least 3 months prior to the study, had a smartphone, Internet access, and could use Lantern with WhatsApp. Here, we report the results from the focus group discussions, with the participants evaluating the qualitative aspects of the experiences. The WhatsApp platform was found to be safe, practical, and relatively inexpensive and provided confidentiality for the participants. Three themes emerged from the focus groups: the study motivated participants to take their antiretroviral therapy medications on time, they still set medication reminder alarms, and being in the study made them feel supported. The Lantern program indicated good feasibility and acceptability for adherence to antiretroviral therapies among people living with HIV. Future research should examine on how community organizations and healthcare providers can take advantage of the WhatsApp program to improve adherence to antiretroviral therapies. 
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