Delivery of Compassionate Mental Health Care in a Digital Technology-Driven Age: Scoping Review.

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.

Evaluating cancer patient-reported outcome measures: Readability and implications for clinical use.

BACKGROUND: The benefits of patient-reported outcome measures (PROMs) are well known; however, their readability has come into question because multiple PROMs have been found to be incomprehensible to patients. This is a critical safety and equity consideration because PROMs are increasingly being integrated into routine clinical practice. A key strategy for promoting patient comprehension is the use of plain language. The aim of this study was to determine whether PROMs routinely used in the cancer setting meet plain-language best practices. METHODS: To report the plain-language level of each PROM, readability (Fry Readability Graph, Simple Measure of Gobbledygook, Flesch Reading Ease, and FORCAST) and understandability assessments (Patient Education Materials Assessment Tool [PEMAT] for Printable Materials) were performed. PROMs at grade level 6 or lower and with PEMAT scores greater than 80% were considered to meet plain-language best practices. PROMs were divided into 4 domains (physical, emotional, social, and quality of life) and 17 dimensions (eg, pain was a dimension of the physical domain). A subanalysis was conducted to determine whether specific domains and dimensions were more likely to adhere to plain-language best practices. RESULTS: More than half of the 45 PROMs evaluated (n = 33 [73%]) had a grade level higher than 6. Understandability scores ranged from 29% to 100%. The majority of the PROMs that did not meet plain-language best practices were within the physical and emotional domains and focused on the patient's symptom experience. CONCLUSIONS: This evaluation shows that more than half of the most commonly used cancer PROMs do not meet plain-language best practices. Practice implications include the necessity for plain-language assessment during the PROM validation process, the consideration of plain language in PROM selection, and plain-language review and editing of low-scoring PROMs.

Patterns, perceptions and their association with changes in alcohol consumption in cancer survivors.

Continued consumption of alcohol after a cancer diagnosis is associated with poorer outcomes. We evaluated whether perceptions of the effects of continued alcohol use and receiving information on moderating alcohol reduced alcohol consumption in adult cancer survivors. A total of 509 cancer survivors were cross-sectionally surveyed at follow-up for their alcohol use before and after cancer diagnosis and perceptions of continued drinking. Multivariable logistic regression models evaluated factors associated with changes in alcohol consumption after diagnosis. Among 299 patients who were drinking alcohol at diagnosis (13% exceeding gender-specific guidelines), 52% reduced/ceased alcohol consumption 1 year after diagnosis. Patients perceiving that alcohol worsened their own (a) quality of life, (b) cancer-related fatigue or (c) overall survival were more likely (aORs = 2.43-3.35, p < 0.002) to reduce (moderating or quitting) their alcohol use 1 year after diagnosis. Only 14% of individuals currently drinking regularly recalled receiving information/counselling from healthcare providers on alcohol consumption (7% from oncologists). However, there was a significant fourfold to sixfold increase in cessation with such information/counselling (p < 0.01). Similar trends were observed in patients exceeding gender-specific guidelines. Perception of negative effects of alcohol use on their health by cancer survivors was associated with reducing harmful alcohol consumption. Counselling, especially from the oncologist, may play a significant role for reducing consumption.

Alcohol Use, High Risk Behaviors, and Experiences of Discrimination Among Transgender Women in the Dominican Republic.

Objectives: This study examines associations between alcohol use, high risk sexual behaviors, and experiences of stigma among transgender women across the Dominican Republic. Data from the 2015 Transgender Health Needs Study were analyzed using bivariate analyses (N = 291). Results: High rates of stigma, verbal abuse, alcohol use, and sex work are found and are associated with each other. Almost 45% of regular alcohol users are engaging in sex work (43.6%), compared with 31.1% of the non-regular alcohol users (χ2=4.82, p < .05). Having sex under the influence of alcohol is statistically associated with high risk behaviors, such as engaging in sex work, sometimes or never using a condom when receiving anal sex, and higher numbers of sexual partners. Furthermore, transgender women who have had sex under the influence of alcohol report statistically significantly higher levels of verbal abuse, discrimination, and levels of perceived transgender stigma. Conclusions/Importance: Findings suggest that although anti-discrimination laws exist, policies may not protect transgender women from experiencing stigma and discrimination at work, potentially forcing them to seek alternative careers and engage in behaviors that expose them to greater personal risk and harm. This intersection of factors may indicate a notable public health gap in transgender health in the Dominican Republic.

Evaluation of the scope, quality, and health literacy demand of Internet-based anal cancer information.

OBJECTIVES: As there is a dearth of information about anal cancer available at cancer centers, patients often use the Internet to search for information. This is problematic, however, because the quality of information on the Internet is variable, and the health literacy demanded is higher than the average patrons' capacity. The purposes of this study were to (1) determine the most common websites with anal cancer consumer health information, (2) identify the supportive care needs that each website addresses, and (3) evaluate the websites' quality and health literacy demand. METHODS: Medical Subject Headings (MeSH) entry terms for "Anus Neoplasms" were used in Google Canada to identify websites. Seven domains of supportive care needs were defined using Fitch's Supportive Care Framework for Cancer Care. Website quality was evaluated using the DISCERN tool. Health literacy demand was assessed using readability calculators, where best practice dictates a grade 6 or lower, and the Patient Education Material Assessment Tool (PEMAT) that computes a percentage score in 2 domains, understandability and actionability, with 80% being an acceptable score. RESULTS: Eighteen unique websites were evaluated. One website met health literacy best practices and had a "good" quality rating. Most websites addressed only 1 supportive care domain (61%), were of "fair" quality (67%), had readability scores higher than grade 6 (89%), and had PEMAT scores ranging from 41%-92% for understandability and 0-70% for actionability. CONCLUSION: The information gaps on anal cancer websites warrant a need for more health literate anal cancer health information on the Internet.

Patterns, perceptions, and perceived barriers to physical activity in adult cancer survivors.

PURPOSE: Physical activity (PA) during and after cancer treatment is associated with improved cancer- and non-cancer-related outcomes. We assessed for predictors of change in PA levels among cancer survivors. METHODS: Adult cancer survivors from a comprehensive cancer center completed a one-time questionnaire retrospectively assessing PA levels before, during, and after cancer treatment along with their perceptions of PA. Multivariable logistic regression models evaluated the association of clinico-demographics variables and perceptions of PA with changes in whether patients were meeting PA guidelines after cancer diagnosis. RESULTS: Among the 1003 patients, 319 (32%) met moderate to vigorous PA (MVPA) guidelines before diagnosis. Among those meeting guidelines before diagnosis, 50% still met guidelines after treatment; 12% not meeting MVPA guidelines initially met them after treatment/at follow-up. Among patients meeting guidelines before diagnosis, better ECOG performance status at follow-up, receiving curative therapy, and spending a longer time on PA initially were each associated with meeting guidelines at follow-up. After controlling for other variables, perceiving that PA improves quality of life (adjusted odds ratio, aOR = 11.09, 95%CI [1.42-86.64], P = 0.02) and overall survival (aOR = 8.52, 95%CI [1.12-64.71], P = 0.04) was each associated with meeting MVPA guidelines during/after treatment, in patients who did not meet guidelines initially. Only 13% reported receiving counseling, which was not associated with PA levels. Common reported barriers to PA included fatigue, lacking motivation, and being too busy. CONCLUSIONS: Patient perceptions of PA benefits are strongly associated with improving PA levels after a cancer diagnosis. Clinician counseling should focus on patient education and changing patient perceptions.

The role of second-hand smoke exposure on smoking cessation in non-tobacco-related cancers.

BACKGROUND: Second-hand smoke (SHS) is a significant barrier to smoking cessation after a diagnosis of cancer in patients with lung as well as head and neck cancers. In the current study, the authors evaluated the effect of SHS on smoking cessation among patients with those cancers not traditionally perceived to be strongly associated with smoking. METHODS: Patients recruited from a single tertiary care center completed a self-administered questionnaire. Multivariate logistic regression and Cox proportional hazards models evaluated the association of sociodemographics, clinicopathological variables, and exposure to SHS with either smoking cessation or time to quitting. RESULTS: In all, 926 patients with diverse cancer subtypes completed the questionnaire. Of the 161 who were current smokers at the time of their cancer diagnosis, 48% quit after diagnosis. Lack of exposure to SHS at home was found to be associated with smoking cessation at any time after diagnosis (adjusted odd ratio, 4.28; 95% confidence interval, 1.56-11.78 [P =.005]), with similar trends noted 1 year after diagnosis (adjusted odds ratio, 2.56; 95% confidence interval, 0.91-7.22 [P =.08]). There was a significant inverse dose-response relationship between hours of SHS exposure at home and smoking cessation. Spousal and peer smoking were not found to be significantly associated with smoking cessation on multivariate analysis (P>.05). Kaplan-Meier analysis found that of patients who did quit smoking, 61% quit within 6 months of their cancer diagnosis. CONCLUSIONS: Exposure to SHS at home is a significant barrier to smoking cessation in patients whose cancers are not traditionally perceived as being related to tobacco. SHS should be a key consideration in the development of survivorship programs geared toward smoking cessation for all patients with cancer.

The role of mentoring and coaching of healthcare professionals for digital technology adoption and implementation: A scoping review.

Objective: Mentoring and coaching practices have supported the career and skill development of healthcare professionals (HCPs); however, their role in digital technology adoption and implementation for HCPs is unknown. The objective of this scoping review was to summarize information on healthcare education programs that have integrated mentoring or coaching as a key component. Methods: The search strategy and keyword searches were developed by the project team and a research librarian. A two-stage screening process consisting of a title/abstract scan and a full-text review was conducted by two independent reviewers to determine study eligibility. Articles were included if they: (1) discussed the mentoring and/or coaching of HCPs on digital technology, including artificial intelligence, (2) described a population of HCPs at any stage of their career, and (3) were published in English. Results: A total of 9473 unique citations were screened, identifying 19 eligible articles. 11 articles described mentoring and/or coaching programs for digital technology adoption, while eigth described mentoring and/or coaching for digital technology implementation. Program participants represented a diverse range of industries (i.e., clinical, academic, education, business, and information technology). Digital technologies taught within programs included electronic health records (EHRs), ultrasound imaging, digital health informatics, and computer skills. Conclusions: This review provided a summary of the role of mentoring and/or coaching practices within digital technology education for HCPs. Future training initiatives for HCPs should consider appropriate resources, program design, mentor-learner relationship, security concerns and setting clear expectations for program participants. Future research could explore mentor/coach characteristics that would facilitate successful skill transfer.

Performance Data Advocacy for Continuing Professional Development in Health Professions.

ABSTRACT: Efforts to optimize continuing professional development (CPD) are ongoing and include advocacy for the use of clinician performance data. Several educational and quality-based frameworks support the use of performance data to achieve intended improvement outcomes. Although intuitively appealing, the role of performance data for CPD has been uncertain and its utility mainly assumed. In this Scholarly Perspective, the authors briefly review and trace arguments that have led to the conclusion that performance data are essential for CPD. In addition, they summarize and synthesize a recent and ongoing research program exploring the relationship physicians have with performance data. They draw on Collins, Onwuegbuzie, and Johnson's legitimacy model and Dixon-Woods' integrative approach to generate inferences and ways of moving forward. This interpretive approach encourages questioning or raising of assumptions about related concepts and draws on the perspectives (i.e., interpretive work) of the research team to identify the most salient points to guide future work. The authors identify 6 stimuli for future programs of research intended to support broader and better integration of performance data for CPD. Their aims are to contribute to the discourse on data advocacy for CPD by linking conceptual, methodologic, and analytic processes and to stimulate discussion on how to proceed on the issue of performance data for CPD purposes. They hope to move the field from a discussion on the utility of data for CPD to deeper integration of relevant conceptual frameworks.

Accelerating AI Innovation in Healthcare Through Mentorship.

The adoption of Artificial Intelligence (AI) in the Canadian healthcare system falls behind that of other countries. Socio-technological considerations such as organizational readiness and a limited understanding of the technology are a few barriers impeding its adoption. To address this need, this study implemented a five-month AI mentorship program with the primary objective of developing participants' AI toolset. The analysis of our program's effectiveness resulted in recommendations for a successful mentorship and AI development and implementation program. 12 innovators and 11 experts from diverse backgrounds were formally matched and two symposiums were integrated into the program design. 8 interviewed participants revealed positive perceptions of the program underscoring its contribution to their professional development. Recommendations for future programs include: (1) obtaining organizational commitment for each participant; (2) incorporating structural supports throughout the program; and (3) adopting a team-based mentorship approach. The findings of this study offer a foundation rooted in evidence for the formulation of policies necessary to promote the integration of AI in Canada.

Enhancing the value of digital health tools for mental health help-seeking in Canadian transitional aged youth during the pandemic: Qualitative study.

While the COVID-19 pandemic has greatly exacerbated the mental health challenges of transition-aged youth (TAY) between 17 and 29 years old, it has also led to the rapid adoption of digital tools for mental health help-seeking and treatment. However, to date, there has been limited work focusing on how this shift has impacted perceptions, needs and challenges of this population in using digital tools. The current study aims to understand their perspectives on mental health help-seeking during the pandemic and emerging issues related to digital tools (e.g., digital health equity, inclusivity). A total of 16 TAY were invited from three post-secondary institutions in the Greater Toronto Area. A total of two streams of focus groups were held and participants were invited to share their perceptions, needs and experiences. Five main themes were identified: 1) Helpfulness of a centralized resource encompassing a variety of diverse mental health supports help-seeking; 2) The impact of the shift to online mental health support on the use of informal supports; 3) Digital tool affordability and availability; 4) Importance of inclusivity for digital tools; and 5) Need for additional support for mental health seeking and digital tool navigation. Future work should examine how these needs can be addressed through new and existing digital mental health help-seeking tools for TAY.

The Adoption of AI in Mental Health Care-Perspectives From Mental Health Professionals: Qualitative Descriptive Study.

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.

A Qualitative Study to Understand the Cultural Factors That Influence Clinical Data Use for Continuing Professional Development.

INTRODUCTION: The use of data to inform lifelong learning has become increasingly important in continuing professional development (CPD) practice. Despite the potential benefits of data-driven learning, our understanding of how physicians engage in data-informed learning activities, particularly for CPD, remains unclear and warrants further study. The purpose of this study was to explore how physicians perceive cultural factors (individual, organizational, and systemic) that influence the use of clinical data to inform lifelong learning and self-initiated CPD activities. METHODS: This qualitative study is part of an explanatory sequential mixed-methods study examining data-informed learning. Participants were psychiatrists and general surgeons from Canada and the United States. Recruitment occurred between April 2019 and November 2019, and the authors conducted semistructured telephone interviews between May 2019 and November 2019. The authors performed thematic analysis using an iterative, inductive method of constant comparative analysis. RESULTS: The authors interviewed 28 physicians: 17 psychiatrists (61%) and 11 general surgeons (39%). Three major themes emerged from the continuous, iterative analysis of interview transcripts: (1) a strong relationship between data and trust, (2) a team-based approach to data-informed learning for practice improvement, and (3) a need for organizational support and advocacy to put data into practice. CONCLUSION: Building trust, taking a team-based approach, and engaging multiple stakeholders, such as data specialists and organizational leadership, may significantly improve the use of data-informed learning. The results are situated in the existing literature, and opportunities for future research are summarized.

Preparing for an Artificial Intelligence-Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings.

BACKGROUND: As new technologies emerge, there is a significant shift in the way care is delivered on a global scale. Artificial intelligence (AI) technologies have been rapidly and inexorably used to optimize patient outcomes, reduce health system costs, improve workflow efficiency, and enhance population health. Despite the widespread adoption of AI technologies, the literature on patient engagement and their perspectives on how AI will affect clinical care is scarce. Minimal patient engagement can limit the optimization of these novel technologies and contribute to suboptimal use in care settings. OBJECTIVE: We aimed to explore patients' views on what skills they believe health care professionals should have in preparation for this AI-enabled future and how we can better engage patients when adopting and deploying AI technologies in health care settings. METHODS: Semistructured interviews were conducted from August 2020 to December 2021 with 12 individuals who were a patient in any Canadian health care setting. Interviews were conducted until thematic saturation occurred. A thematic analysis approach outlined by Braun and Clarke was used to inductively analyze the data and identify overarching themes. RESULTS: Among the 12 patients interviewed, 8 (67%) were from urban settings and 4 (33%) were from rural settings. A majority of the participants were very comfortable with technology (n=6, 50%) and somewhat familiar with AI (n=7, 58%). In total, 3 themes emerged: cultivating patients' trust, fostering patient engagement, and establishing data governance and validation of AI technologies. CONCLUSIONS: With the rapid surge of AI solutions, there is a critical need to understand patient values in advancing the quality of care and contributing to an equitable health system. Our study demonstrated that health care professionals play a synergetic role in the future of AI and digital technologies. Patient engagement is vital in addressing underlying health inequities and fostering an optimal care experience. Future research is warranted to understand and capture the diverse perspectives of patients with various racial, ethnic, and socioeconomic backgrounds.

Why are Patient Portals Important in the Age of COVID-19? Reflecting on Patient and Team Experiences From a Toronto Hospital Network.

The COVID-19 pandemic has changed how care is being delivered in Canada. With conventional in-person care being transitioned to virtual care, the approach that patients are able to engage and access their care has dramatically changed. At the University Health Network (UHN), which is Canada's largest academic and teaching hospital network, we expanded the myUHN Patient Portal in 2017 after its early adopter phase to enable patients and family members to view parts of their clinical notes and test results. As the pandemic progressed, we observed high adoption of myUHN to support virtual care and rapid delivery of COVID-19 test results in real time. In this article, we share and reflect on our experience of adapting myUHN to support the demands of the pandemic, including portal adoption outcomes across multiple waves of the pandemic, the impetus for increased patient experience staff dedicated for myUHN support, and patients' perceptions of the value of the portal and virtual care. Based on these reflections, we outline our perspectives on the future role of patient portals to support patient care and experience in a post-pandemic environment.

Exploring Systemic Influences on Data-Informed Learning: Document Review of Policies, Procedures, and Legislation from Canada and the United States.

INTRODUCTION: Despite the support for and benefits of data-driven learning, physician engagement is variable. This study explores systemic influences of physician use of data for performance improvement in continuing professional development (CPD) by analyzing and interpreting data sources from organizational and institutional documents. METHODS: The document analysis is the third phase of a mixed-methods explanatory sequential study examining cultural factors that influence data-informed learning. A gray literature search was conducted for organizations both in Canada and the United States. The analysis contains nonparticipant observations from professional learning bodies and medical specialty organizations with established roles within the CPD community known to lead and influence change in CPD. RESULTS: Sixty-two documents were collected from 20 Canadian and American organizations. The content analysis identified the following: (1) a need to advocate for data-informed self-assessment and team-based learning strategies; (2) privacy and confidentiality concerns intersect at the point of patient data collection and physician-generated outcomes and need to be acknowledged; (3) a nuanced data strategy approach for each medical specialty is needed. DISCUSSION: This analysis broadens our understanding of system-level factors that influence the extent to which health information custodians and physicians are motivated to engage with data for learning.

What are we doing to support informal caregivers? A scoping review of caregiver education programs in cancer care.

OBJECTIVES: The cancer system is experiencing a rise in cancer prevalence, a workforce shortage, and is resource-stretched. In this environment, informal caregivers (unpaid family caregivers of cancer patients) are required to take on expanded care roles and experience the debilitating effects of caregiver burden. Education programs are increasingly being developed to support caregivers. The aim of this review is to summarize what is known about these programs. METHODS: A scoping review was conducted from May 2019 to January 2020. The literature search yielded 34,906 articles. RESULTS: 119 articles were included, and ninety-two (77%) were focused on in-person psychoeducational programs. CONCLUSION: Most caregiver programs have a unidimensional focus on psychoeducational training, demonstrating a need for more comprehensive programming to address the full spectrum of caregiver needs. PRACTICE IMPLICATIONS: Clinicians and educators must collaborate to create accessible, equitable education programs that comprehensibly address the needs of unpaid family caregivers beyond addressing psychological aspects of cancer care. This will ensure that a broader range of patients and caregivers are equipped with the knowledge and skills needed to cope with a cancer diagnosis, navigate the health system and to maintain their quality of life.

Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review.

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.

Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Protocol for a Multistepped Approach.

BACKGROUND: Significant investments and advances in health care technologies and practices have created a need for digital and data-literate health care providers. Artificial intelligence (AI) algorithms transform the analysis, diagnosis, and treatment of medical conditions. Complex and massive data sets are informing significant health care decisions and clinical practices. The ability to read, manage, and interpret large data sets to provide data-driven care and to protect patient privacy are increasingly critical skills for today's health care providers. OBJECTIVE: The aim of this study is to accelerate the appropriate adoption of data-driven and AI-enhanced care by focusing on the mindsets, skillsets, and toolsets of point-of-care health providers and their leaders in the health system. METHODS: To accelerate the adoption of AI and the need for organizational change at a national level, our multistepped approach includes creating awareness and capacity building, learning through innovation and adoption, developing appropriate and strategic partnerships, and building effective knowledge exchange initiatives. Education interventions designed to adapt knowledge to the local context and address any challenges to knowledge use include engagement activities to increase awareness, educational curricula for health care providers and leaders, and the development of a coaching and practice-based innovation hub. Framed by the Knowledge-to-Action framework, we are currently in the knowledge creation stage to inform the curricula for each deliverable. An environmental scan and scoping review were conducted to understand the current state of AI education programs as reported in the academic literature. RESULTS: The environmental scan identified 24 AI-accredited programs specific to health providers, of which 11 were from the United States, 6 from Canada, 4 from the United Kingdom, and 3 from Asian countries. The most common curriculum topics across the environmental scan and scoping review included AI fundamentals, applications of AI, applied machine learning in health care, ethics, data science, and challenges to and opportunities for using AI. CONCLUSIONS: Technologies are advancing more rapidly than organizations, and professionals can adopt and adapt to them. To help shape AI practices, health care providers must have the skills and abilities to initiate change and shape the future of their discipline and practices for advancing high-quality care within the digital ecosystem. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/30940.