Background: As the adoption of artificial intelligence (AI) in health care increases, it will become increasingly crucial to involve health care professionals (HCPs) in developing, validating, and implementing AI-enabled technologies. However, because of a lack of AI literacy, most HCPs are not adequately prepared for this revolution. This is a significant barrier to adopting and implementing AI that will affect patients. In addition, the limited existing AI education programs face barriers to development and implementation at various levels of medical education. Objective: With a view to informing future AI education programs for HCPs, this scoping review aims to provide an overview of the types of current or past AI education programs that pertains to the programs’ curricular content, modes of delivery, critical implementation factors for education delivery, and outcomes used to assess the programs’ effectiveness. Methods: After the creation of a search strategy and keyword searches, a 2-stage screening process was conducted by 2 independent reviewers to determine study eligibility. When consensus was not reached, the conflict was resolved by consulting a third reviewer. This process consisted of a title and abstract scan and a full-text review. The articles were included if they discussed an actual training program or educational intervention, or a potential training program or educational intervention and the desired content to be covered, focused on AI, and were designed or intended for HCPs (at any stage of their career). Results: Of the 10,094 unique citations scanned, 41 (0.41%) studies relevant to our eligibility criteria were identified. Among the 41 included studies, 10 (24%) described 13 unique programs and 31 (76%) discussed recommended curricular content. The curricular content of the unique programs ranged from AI use, AI interpretation, and cultivating skills to explain results derived from AI algorithms. The curricular topics were categorized into three main domains: cognitive, psychomotor, and affective. Conclusions: This review provides an overview of the current landscape of AI in medical education and highlights the skills and competencies required by HCPs to effectively use AI in enhancing the quality of care and optimizing patient outcomes. Future education efforts should focus on the development of regulatory strategies, a multidisciplinary approach to curriculum redesign, a competency-based curriculum, and patient-clinician interaction.

Background: Compassion is a vital component to the achievement of positive health outcomes, particularly in mental health care. The rise of digital technologies may influence the delivery of compassionate care, and thus this relationship between compassion and digital health care needs to be better understood. Objective: This scoping review aimed to identify existing digital technologies being used by patients and health professionals in the delivery of mental health care, understand how digital technologies are being used in the delivery of compassionate mental health care, and determine the facilitators of and barriers to digital technology use among patients and health professionals in the delivery of compassionate mental health care. Methods: We conducted this scoping review through a search of Cumulative Index to Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System Online (MEDLINE), MEDLINE In-Process and EPub Ahead of Print, PsycINFO, and Web of Science for articles published from 1990 to 2019. Results: Of the 4472 articles screened, 37 articles were included for data extraction. Telemedicine was the most widely used technology by mental health professionals. Digital technologies were described as facilitating compassionate care and were classified using a conceptual model to identify each digital intersection with compassionate care. Facilitators of and barriers to providing compassionate care through digital technology were identified, including increased safety for providers, health care professional perceptions and abilities, and the use of picture-in-picture feedback to evaluate social cues. Conclusions: Implementing digital technology into mental health care can improve the current delivery of compassionate care and create novel ways to provide compassion. However, as this is a new area of study, mental health professionals and organizations alike should be mindful that compassionate human-centered care is maintained in the delivery of digital health care. Future research could develop tools to facilitate and evaluate the enactment of compassion within digital health care.

Background: Artificial intelligence (AI) is transforming the mental health care environment. AI tools are increasingly accessed by clients and service users. Mental health professionals must be prepared not only to use AI but also to have conversations about it when delivering care. Despite the potential for AI to enable more efficient and reliable and higher-quality care delivery, there is a persistent gap among mental health professionals in the adoption of AI. Objective: A needs assessment was conducted among mental health professionals to (1) understand the learning needs of the workforce and their attitudes toward AI and (2) inform the development of AI education curricula and knowledge translation products. Methods: A qualitative descriptive approach was taken to explore the needs of mental health professionals regarding their adoption of AI through semistructured interviews. To reach maximum variation sampling, mental health professionals (eg, psychiatrists, mental health nurses, educators, scientists, and social workers) in various settings across Ontario (eg, urban and rural, public and private sector, and clinical and research) were recruited. Results: A total of 20 individuals were recruited. Participants included practitioners (9/20, 45% social workers and 1/20, 5% mental health nurses), educator scientists (5/20, 25% with dual roles as professors/lecturers and researchers), and practitioner scientists (3/20, 15% with dual roles as researchers and psychiatrists and 2/20, 10% with dual roles as researchers and mental health nurses). Four major themes emerged: (1) fostering practice change and building self-efficacy to integrate AI into patient care; (2) promoting system-level change to accelerate the adoption of AI in mental health; (3) addressing the importance of organizational readiness as a catalyst for AI adoption; and (4) ensuring that mental health professionals have the education, knowledge, and skills to harness AI in optimizing patient care. Conclusions: AI technologies are starting to emerge in mental health care. Although many digital tools, web-based services, and mobile apps are designed using AI algorithms, mental health professionals have generally been slower in the adoption of AI. As indicated by this study’s findings, the implications are 3-fold. At the individual level, digital professionals must see the value in digitally compassionate tools that retain a humanistic approach to care. For mental health professionals, resistance toward AI adoption must be acknowledged through educational initiatives to raise awareness about the relevance, practicality, and benefits of AI. At the organizational level, digital professionals and leaders must collaborate on governance and funding structures to promote employee buy-in. At the societal level, digital and mental health professionals should collaborate in the creation of formal AI training programs specific to mental health to address knowledge gaps. This study promotes the design of relevant and sustainable education programs to support the adoption of AI within the mental health care sphere.

Introduction The notion of compassion and compassionate care is playing an increasingly important role in health professional education and in the delivery of high-quality healthcare. Digital contexts, however, are not considered in the conceptualisation of compassionate care, nor is there guidance on how compassionate care is to be exercised while using digital health technologies. The widespread diffusion of digital health technologies provides new contexts for compassionate care, with both opportunities for new forms and instantiations of compassion as well as new challenges. How compassion is both understood and enacted within this evolving, digital realm has not been synthesised. Methods and analysis This scoping review protocol follows Arksey and O’Malley’s methodology to examine dimensions of compassionate professional practice when digital technologies are integrated into clinical care. Relevant peer-reviewed literature will be identified using a search strategy developed by medical librarians, which applies to six databases of medical, computer and information systems disciplines. Eligibility of articles will be determined using the two-stage screening process consisting of (1) title and abstract scan, and (2) full-text review. Screening, abstracting and charting will be conducted by two independent reviewers, with a third reviewer available for resolution when consensus is not achieved. In order to look at the range of current research in this area, extracted data will be thematically analysed and validated by content experts. Descriptive statistics will be calculated where necessary. Ethics and dissemination Research ethics approval and consent to participate is not required for this scoping review. The results of the review will inform resource development and strategy for Associated Medical Services (AMS) Healthcare, a Canadian charitable organisation at the forefront of advancing research and leadership development in health and humanities, as part of the AMS Phoenix Project: A Call to Caring, particularly for digital professionalism frameworks so that they are inclusive of a compassion competency.

Not only do transgender female sex workers have some of the highest rates of sexually transmitted infections (STI), human immunodeficiency virus (HIV), and experienced stigma, they also have higher likelihood of early sexual debut and some of the lowest levels of educational attainment compared to other stigmatized populations. Some of the most common interventions designed to reduce transmission of HIV and STIs seek to educate high-risk groups on sexual health and encourage condom use across all partner types; however, reaching stigmatized populations, particularly those in resource-limited settings, is particularly challenging. Considering the importance of condom use in stopping the spread of HIV, the aim of this study was two-fold; first to characterize this hard-to-reach population of transgender female sex workers in the Dominican Republic, and second, to assess associations between their HIV knowledge, experienced stigma, and condom use across three partner types. We analyzed self-reported data from the Questionnaire for Transgender Sex Workers (N = 78). Respondents were interviewed at their workplaces. Univariate and bivariate analyses were employed. Fisher Chi-square tests assessed differences in HIV knowledge and experienced stigma by condom use across partner types. HIV knowledge was alarmingly low, condom use varied across partner type, and the respondents in our sample had high levels of experienced stigma. Average age of first sexual experience was 13.12 years with a youngest age reported of 7. Dominican Republic statutory rape laws indicate 18 years is the age of consent; thus, many of these transgender women’s first sexual encounters would be considered forcible (rape) and constitute a prosecutable crime. On average, respondents reported 8.45 sexual partners in the prior month, with a maximum of 49 partners. Approximately two thirds of respondents used a condom the last time they had sex with a regular partner. This was considerably lower than condom use reported with coercive partners (92.96%) and clients (91.78%). Bivariate analyses revealed two trends: experienced stigma was associated with lower rates of condom use, and lower HIV knowledge was associated with lower rates of condom use. The former provides additional evidence that experienced stigma may become internalized, affecting individual-level behaviors—lowering self-confidence and resilience—making it more difficult to negotiate condom use due to lack of self-efficacy and desire to show trust in one’s partner. The latter supports public health research that suggests gaps in HIV knowledge persist and are pronounced in highly stigmatized populations. The vulnerabilities experienced by transgender persons, particularly in environments that vehemently adhere to conservative ideologies related to sex and gender, are significant and harm this population. These vulnerabilities could potentially be addressed through critically examining of impact of policies that indirectly promote or allow victimization of transgender citizens and subsequently diminish the effectiveness of public health and educational interventions. By taking action through the revocation of such laws, the Dominican Republic has the opportunity to improve overall population health, to protect some of its most stigmatized citizens, and to become the flag bearer of enhanced human rights in the Caribbean and Latin America.