ABSTRACT
BACKGROUND: Artificial Intelligence (AI) is recognized by emergency physicians (EPs) as an important technology that will affect clinical practice. Several AI-tools have already been developed to aid care delivery in emergency medicine (EM). However, many EM tools appear to have been developed without a cross-disciplinary needs assessment, making it difficult to understand their broader importance to general-practice. Clinician surveys about AI tools have been conducted within other medical specialties to help guide future design. This study aims to understand the needs of Canadian EPs for the apt use of AI-based tools. METHODS: A national cross-sectional, two-stage, mixed-method electronic survey of Canadian EPs was conducted from January-May 2022. The survey includes demographic and physician practice-pattern data, clinicians' current use and perceptions of AI, and individual rankings of which EM work-activities most benefit from AI. RESULTS: The primary outcome is a ranked list of high-priority AI-tools for EM that physicians want translated into general use within the next 10 years. When ranking specific AI examples, 'automated charting/report generation', 'clinical prediction rules' and 'monitoring vitals with early-warning detection' were the top items. When ranking by physician work-activities, 'AI-tools for documentation', 'AI-tools for computer use' and 'AI-tools for triaging patients' were the top items. For secondary outcomes, EPs indicated AI was 'likely' (43.1%) or 'extremely likely' (43.7%) to be able to complete the task of 'documentation' and indicated either 'a-great-deal' (32.8%) or 'quite-a-bit' (39.7%) of potential for AI in EM. Further, EPs were either 'strongly' (48.5%) or 'somewhat' (39.8%) interested in AI for EM. CONCLUSIONS: Physician input on the design of AI is essential to ensure the uptake of this technology. Translation of AI-tools to facilitate documentation is considered a high-priority, and respondents had high confidence that AI could facilitate this task. This study will guide future directions regarding the use of AI for EM and help direct efforts to address prevailing technology-translation barriers such as access to high-quality application-specific data and developing reporting guidelines for specific AI-applications. With a prioritized list of high-need AI applications, decision-makers can develop focused strategies to address these larger obstacles.
Subject(s)
Emergency Medicine , Physicians , Humans , Artificial Intelligence , Motivation , Cross-Sectional Studies , CanadaSubject(s)
Echocardiography, Three-Dimensional/methods , Electrocardiography , Heart Ventricles/diagnostic imaging , Myocardial Infarction/diagnostic imaging , Ventricular Function, Left/physiology , Disease Progression , Female , Follow-Up Studies , Heart Ventricles/physiopathology , Humans , Male , Middle Aged , Myocardial Infarction/physiopathology , Pilot Projects , Prognosis , ROC Curve , Reproducibility of Results , Retrospective Studies , Severity of Illness IndexABSTRACT
Men's health problems are rooted in early socialization, which inhibits self-care and help-seeking behavior. This article explores the impact of male socialization, as well as developmental challenges that undermine the health of boys and male adolescents. Maladaptive coping strategies used by young males are outlined. The author describes what young males need for maintaining emotional connections with themselves and others. Practical strategies are offered for how physicians may promote the emotional health of today's boys and male adolescents.
