Trainee advocacy for medical education on the care of people with intellectual and/or developmental disabilities: a sequential mixed methods analysis.

BACKGROUND: Medical trainees (medical students, residents, and fellows) are playing an active role in the development of new curricular initiatives; however, examinations of their advocacy efforts are rarely reported. The purpose of this study was to understand the experiences of trainees advocating for improved medical education on the care of people with intellectual and/or developmental disabilities. METHODS: In 2022-23, the authors conducted an explanatory, sequential, mixed methods study using a constructivist paradigm to analyze the experiences of trainee advocates. They used descriptive statistics to analyze quantitative data collected through surveys. Participant interviews then yielded qualitative data that they examined using team-based deductive and inductive thematic analysis. The authors applied Kern's six-step approach to curriculum development as a framework for analyzing and reporting results. RESULTS: A total of 24 participants completed the surveys, of whom 12 volunteered to be interviewed. Most survey participants were medical students who reported successful advocacy efforts despite administrative challenges. Several themes were identified that mapped to Steps 2, 4, and 5 of the Kern framework: "Utilizing Trainee Feedback" related to Needs Assessment of Targeted Learners (Kern Step 2); "Inclusion" related to Educational Strategies (Kern Step 4); and "Obstacles", "Catalysts", and "Sustainability" related to Curriculum Implementation (Kern Step 5). CONCLUSIONS: Trainee advocates are influencing the development and implementation of medical education related to the care of people with intellectual and/or developmental disabilities. Their successes are influenced by engaged mentors, patient partners, and receptive institutions and their experiences provide a novel insight into the process of trainee-driven curriculum advocacy.

Digital Impact Factor: A Quality Index for Educational Blogs and Podcasts in Emergency Medicine and Critical Care.

STUDY OBJECTIVE: Given the popularity of educational blogs and podcasts in medicine, learners and educators need tools to identify trusted and impactful sites. The Social Media Index was a multi-sourced formula to rank the effect of emergency medicine and critical care blogs. In 2022, a key data point for the Social Media Index became unavailable. This bibliometric study aimed to develop a new measure, the Digital Impact Factor, as a replacement. METHODS: The Digital Impact Factor incorporated modern measures of website authority and reach. This formula was applied to a cross-sectional study of active emergency medicine and critical care blogs and podcasts. For each website, we generated a Digital Impact Factor score based on Ahrefs Domain Rating and the follower count of the websites' pages from 8 social media platforms. A series of Spearman correlations provided evidence of association by comparing a rank-ordered list to rank lists derived from the Social Media Index over the last 5 years. The Bland-Altman analysis assessed for agreement. RESULTS: The authors identified 88 relevant websites with a median Ahrefs Domain Rating of 28 (range 0 to 71, maximum 100) and total social media followership count across 8 platforms of 1,828,557. The Domain Rating and individual social media followership scores were normalized based on the highest recorded values to yield the Digital Impact Factor (median 4.57; range 0.02 to 9.50, maximum 10). The correlation between the 2022 Digital Impact Factor and the 2021 Social Media Index was 0.94 (95% confidence interval 0.89 to 0.97; p<.001; n=41 rankings correlated), suggesting that they measure similar constructs. The Bland-Altman plot also demonstrated fair agreement between the 2 scores. CONCLUSION: The Digital Impact Factor is a measure of the relative effect of educational blogs and podcasts within emergency medicine and critical care.

Characteristics of Emergency Medicine Residency Programs With Unfilled Positions in the 2023 Match.

STUDY OBJECTIVE: The unprecedented number of unfilled emergency medicine post-graduate year 1 (PGY-1) residency positions in the 2023 National Resident Matching Program shocked the emergency medicine community. This study investigates the association between emergency medicine program characteristics and the likelihood of unfilled positions in the 2023 Match. METHODS: This cross-sectional, observational study examined 2023 National Resident Matching Program data, focusing on program type, length, location, size, proximity to other programs, previous American Osteopathic Association (AOA) accreditation, first accreditation year, and emergency department ownership structure. We constructed a generalized linear mixed model with a logistic linking function to determine predictors of unfilled positions. RESULTS: A total of 554 of 3,010 (18.4%) PGY-1 positions at 131 of 276 (47%) emergency medicine programs went unfilled in the 2023 Match. In our model, predictors included having unfilled positions in the 2022 Match (odds ratio [OR] 48.14, 95% confidence interval [CI] 21.04 to 110.15), smaller program size (less than 8 residents, OR 18.39, 95% CI 3.90 to 86.66; 8 to 10 residents, OR 6.29, 95% CI 1.50 to 26.28; 11 to 13 residents, OR 5.88, 95% CI 1.55 to 22.32), located in the Mid Atlantic (OR 14.03, 95% CI 2.56 to 77.04) area, prior AOA accreditation (OR 10.13, 95% CI 2.82 to 36.36), located in the East North Central (OR 6.94, 95% CI 1.25 to 38.47) area, and corporate ownership structure (OR 3.21, 95% CI 1.06 to 9.72). CONCLUSION: Our study identified 6 characteristics associated with unfilled emergency medicine residency positions in the 2023 Match. These findings may be used to guide student advising and inform decisions by residency programs, hospitals, and national organizations to address the complexities of residency recruitment and implications for the emergency medicine workforce.

Patient handoffs and multi-specialty trainee perspectives across an institution: informing recommendations for health systems and an expanded conceptual framework for handoffs.

BACKGROUND: Safe and effective physician-to-physician patient handoffs are integral to patient safety. Unfortunately, poor handoffs continue to be a major cause of medical errors. Developing a better understanding of challenges faced by health care providers is critical to address this continued patient safety threat. This study addresses the gap in the literature exploring broad, cross-specialty trainee perspectives around handoffs and provides a set of trainee-informed recommendations for both training programs and institutions. METHODS: Using a constructivist paradigm, the authors conducted a concurrent/embedded mixed method study to investigate trainees' experiences with patient handoffs across Stanford University Hospital, a large academic medical center. The authors designed and administered a survey instrument including Likert-style and open-ended questions to solicit information about trainee experiences from multiple specialties. The authors performed a thematic analysis of open-ended responses. RESULTS: 687/1138 (60.4%) of residents and fellows responded to the survey, representing 46 training programs and over 30 specialties. There was wide variability in handoff content and process, most notably code status not being consistently mentioned a third of the time for patients who were not full code. Supervision and feedback about handoffs were inconsistently provided. Trainees identified multiple health-systems level issues that complicated handoffs and suggested solutions to these threats. Our thematic analysis identified five important aspects of handoffs: (1) handoff elements, (2) health-systems-level factors, (3) impact of the handoff, (4) agency (duty), and (5) blame and shame. CONCLUSIONS: Health systems, interpersonal, and intrapersonal issues affect handoff communication. The authors propose an expanded theoretical framework for effective patient handoffs and provide a set of trainee-informed recommendations for training programs and sponsoring institutions. Cultural and health-systems issues must be prioritized and addressed, as an undercurrent of blame and shame permeates the clinical environment.

Educating for adaptive expertise: case examples along the medical education continuum.

Adaptive expertise represents the combination of both efficient problem-solving for clinical encounters with known solutions, as well as the ability to learn and innovate when faced with a novel challenge. Fostering adaptive expertise requires careful approaches to instructional design to emphasize deeper, more effortful learning. These teaching strategies are time-intensive, effortful, and challenging to implement in health professions education curricula. The authors are educators whose missions encompass the medical education continuum, from undergraduate through to organizational learning. Each has grappled with how to promote adaptive expertise development in their context. They describe themes drawn from educational experiences at these various learner levels to illustrate strategies that may be used to cultivate adaptive expertise.At Vanderbilt University School of Medicine, a restructuring of the medical school curriculum provided multiple opportunities to use specific curricular strategies to foster adaptive expertise development. The advantage for students in terms of future learning had to be rationalized against assessments that are more short-term in nature. In a consortium of emergency medicine residency programs, a diversity of instructional approaches was deployed to foster adaptive expertise within complex clinical learning environments. Here the value of adaptive expertise approaches must be balanced with the efficiency imperative in clinical care. At Mayo Clinic, an existing continuous professional development program was used to orient the entire organization towards an adaptive expertise mindset, with each individual making a contribution to the shift.The different contexts illustrate both the flexibility of the adaptive expertise conceptualization and the need to customize the educational approach to the developmental stage of the learner. In particular, an important benefit of teaching to adaptive expertise is the opportunity to influence individual professional identity formation to ensure that clinicians of the future value deeper, more effortful learning strategies throughout their careers.

A Stanford Conference on Social Media, Ethics, and COVID-19 Misinformation (INFODEMIC): Qualitative Thematic Analysis.

BACKGROUND: The COVID-19 pandemic continues to challenge the world's population, with approximately 266 million cases and 5 million deaths to date. COVID-19 misinformation and disinformation led to vaccine hesitancy among the public, particularly in vulnerable communities, which persists today. Social media companies are attempting to curb the ongoing spread of an overwhelming amount of COVID-19 misinformation on their platforms. In response to this problem, the authors hosted INFODEMIC: A Stanford Conference on Social Media and COVID-19 Misinformation (INFODEMIC) to develop best practices for social media companies to mitigate online misinformation and disinformation. OBJECTIVE: The primary aim of this study was to develop recommendations for social media companies to address the COVID-19 infodemic. We report the methods used to execute the INFODEMIC conference, conference attendee engagement and analytics, and a qualitative thematic analysis of the conference presentations. The primary study outcomes were the identified themes and corresponding recommendations. METHODS: Using a constructivist paradigm, we conducted a thematic analysis of the 6-hour conference transcript to develop best practice recommendations. The INFODEMIC conference was the study intervention, the conference speakers were the study participants, and transcripts of their presentations were the data for this study. We followed the 6-step framework for thematic analysis described by Braun and Clarke. We also used descriptive statistics to report measures of conference engagement including registrations, viewership, post-conference asynchronous participation, and conference evaluations. RESULTS: A total of 26 participants spoke at the virtual conference and represented a wide array of occupations, expertise, and countries of origin. From their remarks, we identified 18 response categories and 4 themes: trust, equity, social media practices, and interorganizational partnerships. From these, a total of 16 best practice recommendations were formulated for social media companies, health care organizations, and the general public. These recommendations focused on rebuilding trust in science and medicine among certain communities, redesigning social media platforms and algorithms to reduce the spread of misinformation, improving partnerships between key stakeholders, and educating the public to critically analyze online information. Of the 1090 conference registrants, 587 (53.9%) attended the live conference, and another 9996 individuals viewed or listened to the conference recordings asynchronously. Conference evaluations averaged 8.9 (best=10). CONCLUSIONS: Social media companies play a significant role in the COVID-19 infodemic and should adopt evidence-based measures to mitigate misinformation on their platforms.

A Deadly Infodemic: Social Media and the Power of COVID-19 Misinformation.

COVID-19 is currently the third leading cause of death in the United States, and unvaccinated people continue to die in high numbers. Vaccine hesitancy and vaccine refusal are fueled by COVID-19 misinformation and disinformation on social media platforms. This online COVID-19 infodemic has deadly consequences. In this editorial, the authors examine the roles that social media companies play in the COVID-19 infodemic and their obligations to end it. They describe how fake news about the virus developed on social media and acknowledge the initially muted response by the scientific community to counteract misinformation. The authors then challenge social media companies to better mitigate the COVID-19 infodemic, describing legal and ethical imperatives to do so. They close with recommendations for better partnerships with community influencers and implementation scientists, and they provide the next steps for all readers to consider. This guest editorial accompanies the Journal of Medical Internet Research special theme issue, "Social Media, Ethics, and COVID-19 Misinformation."

Creating a better learning environment: a qualitative study uncovering the experiences of Master Adaptive Learners in residency.

BACKGROUND: Adaptive expertise is an important physician skill, and the Master Adaptive Learner (MAL) conceptual model describes learner skills and behaviors integral to the acquisition of adaptive expertise. The learning environment is postulated to significantly impact how MALs learn, but it is unclear how these successful learners experience and interact with it. This study sought to understand the authentic experience of MALs within the learning environment and translate those experiences into practical recommendations to improve the learning environment for all trainees. METHODS: Following a constructivist paradigm, we conducted a thematic analysis of transcripts from focus groups composed of MALs to identify commonalities in experiences and practices of successful postgraduate trainees in the learning environment. Saturation was achieved after seven focus groups, consisting of thirty-eight participants representing fourteen specialties from four institutions. Researchers coded transcripts using constant comparison analysis, which served as the foundation for our thematic analysis. RESULTS: We identified eight themes and situated them within a 4-component model of the learning environment. Four themes were identified within the personal component: (1) patients drive learning; (2) learning has no endpoint; (3) management of emotions is crucial for learning; (4) successful learning requires a structured approach. Two themes were identified in the social component: (5) positive social relationships are leveraged to maximize learning; (6) teaching facilitates personal learning. Two themes were identified in the organizational component: (7) transitions challenge learners to adapt; (8) the learning environment dictates goal setting strategy. No major themes were identified in the physical/virtual component, although participants frequently used technology when learning. CONCLUSIONS: Master Adaptive Learners experience similar facilitators of, and barriers to, success in the learning environment. Overall, our data show that acquisition of many successful strategies and skills that support learning are relegated to the hidden curriculum of residency training. Educators could support a more effective learning environment for all trainees by: (1) highlighting patients as the focal point of learning, (2) building a professional 'learner' identity, (3) teaching learning skills, and (4) creating opportunities for collaborative learning.

Learning to learn: A qualitative study to uncover strategies used by Master Adaptive Learners in the planning of learning.

Background: The ability to adapt expertise to both routine and uncommon situations, termed adaptive expertise, has been suggested as a necessary skill for physicians. The Master Adaptive Learner (MAL) framework proposes four phases necessary to develop adaptive expertise. The first phase, "planning" for learning, includes three stages: identification of gaps, prioritization of gaps, and identification of learning resources. This study explored key strategies used by MALs in "planning" for learning. Methods: Focus groups were used to identify strategies that successful postgraduate trainees use to plan learning. Researchers analyzed transcripts using constant comparison analysis and grounded theory to guide the generation of themes. Results: 38 participants, representing 14 specialties, participated in 7 focus groups. Six key strategies used in the "planning" phase of learning were found. During gap identification, they used performance-driven gap identification and community-driven gap identification. To prioritize gaps, they used the schema of triage and adequacy. To identify resources they used intentional adaptation and weighted curation. Barriers such as lack of time and inexperience were noted. Conclusions: MALs use six strategies to plan learning, using patients, health-care team roles, and clinical questions to guide them. Understanding these strategies can help educators design learning opportunities and overcome barriers.

Aiming Beyond Competent: The Application of the Taxonomy of Significant Learning to Medical Education.

Issue: Competency-Based Medical Education (CBME) focuses on demonstrable outcomes, as well as upholding medical education's accountability to society. Despite calls for a robust, multifaceted approach to competency-based assessment (CBA), lingering critiques exist. These critiques include reductionism, reinforcement of an external locus of control within learners, an loss of focus on learner development. Both CBME and CBA may be strengthened if viewed through the lens of a complementary curriculum design framework that broadens the focus on the learner. Evidence: Researchers and physician organizations have articulated the need for medical practitioners trained to provide optimal care in the rapidly changing care environment. In the drive to ensure accountability to patients and society, CBME may overlook the duty of educators to foster the necessary intrinsic development of learners as holistic professionals. The focus of CBA on outcomes may reward memorization and rote performance but may fail to ensure the underlying comprehension or critical thinking necessary to adapt to the variability of real-life patient care. Learners focus on tasks chosen for assessment; thus, areas less easily assessed may be overlooked or deemed unimportant. Reinforcement for learner motivation becomes externalized in CBA, as opposed to being driven by the desire for self-improvement and self-actualization. A recently proposed framework that views learner development as a process-based improvement cycle, the "Master Adaptive Learner," may help remedy this issue. L. Dee Fink's Taxonomy of Significant Learning aims to create meaningful learning experiences in higher education. This taxonomy consists of six interwoven domains: (a) Learning How to Learn, (b) Foundational Knowledge, (c) Application, (d) Integration, (e) Human Dimension, and (f) Caring. Each domain encompasses a unique perspective on the learning process, and when collectively applied to curriculum design, significant learning occurs. This taxonomy has not been widely applied to medical education but may offer an important counterbalance to the outcomes-based focus of CBME. Implications: The outcomes-based focus of CBME is well suited for skill-based tasks, such as procedures, that are observable and measurable. However, other essential physician skills-such as critical thinking, reflection, empathy, and self-directed learning-are not easily assessed, and thus may receive little focus in an outcomes-based model. A holistic approach, such as the Taxonomy of Significant Learning, can counter the deficits of CBME and provide a balanced approach to education program design and assessment.

Faculty prediction of in-training examination scores of emergency medicine residents.

BACKGROUND: The Emergency Medicine In-Training Examination (EMITE) is one of the only valid tools for medical knowledge assessment in current use by emergency medicine (EM) residencies. However, EMITE results return late in the academic year, providing little time to institute potential remediation. OBJECTIVE: The goal of this study was to determine the ability of EM faculty to accurately predict resident EMITE scores prior to results return. METHODS: We asked EM faculty at the study site to predict the 2012 EMITE scores of the 50 EM residents 2 weeks prior to results being available. The primary outcome was prediction accuracy, defined as the proportion of predictions within 6% of the actual score. The secondary outcome was prediction precision, defined as the mean deviation of predictions from the actual scores. We assessed several faculty background variables, including years of experience, educational leadership status, and clinical hours worked, for correlation with the two outcomes. RESULTS: Thirty-two of the 38 faculty (84.2%, 95% confidence interval [CI] 69.6-92.6) participated in the study, rendering a total of 1600 predictions for 50 residents. Mean resident EMITE score was 81.1% (95% CI 79.5-82.8%). Mean prediction accuracy for all faculty participants was 69% (95% CI 65.9-72.1%). Mean prediction precision was 5.2% (95% CI 4.9-5.5%). Education leadership status was the only background variable correlated with the primary and secondary outcomes (Spearman's ρ = 0.51 and -0.53, respectively). CONCLUSION: Faculty possess only moderate accuracy at predicting resident EMITE scores. We recommend a multicenter study to evaluate the generalizability of the present results.

Training for Adaptive Expertise: Why, What, and How.

BACKGROUND: Routine expertise is the efficient use of mastered skills at a high level of competency in familiar situations. PROBLEM: Novel case variation and continuous scientific advances preclude reliance on routine expertise alone. SOLUTION: Medical training programs must prepare learners to solve unfamiliar problems by cultivating adaptive expertise. Adaptive expertise is the ability to transfer existing knowledge to innovate a solution for an unfamiliar problem.

What the experts see: A qualitative analysis of the behaviors of master adaptive learners in emergency medicine.

Objectives: The Master Adaptive Learner (MAL) model postulates that learners develop adaptive expertise through cycles of self-regulated learning. Despite a robust theoretical basis, the actual observable behaviors of MALs are not well characterized. We sought to define behaviors that characterize MALs within emergency medicine (EM) training. Methods: Using a constructivist grounded theory approach, we analyzed semistructured interviews with expert EM educators. These experts reflected on observable behaviors as well as factors in the clinical learning environment that may modulate these behaviors. We recruited using purposive sampling until thematic saturation. Results: We identified four overall themes, of which three described groups of learner behaviors and a fourth described modifiers of these behaviors. Learner behaviors include: (1) critical interrogation of practice, (2) intellectual risk-taking, and (3) intentional curation of a learning network. Critical interrogation of practice encompasses several observable behaviors including learner-driven feedback conversations, independent synthesis of clinical information, appropriate deviation from algorithms based on their conceptual understanding of core principles, intentional use of case variation and hypothetical questioning, and continuous refinement of decisions. MALs also engage in intellectual risk-taking for their development by communicating clinical decision-making processes even at the risk of being wrong, openly addressing errors and gaps, and intentionally seeking out uncomfortable experiences. Intentional curation of a learning network is the deliberate development of a consortium of trusted individuals who serve as mentors and sounding boards. We also identified a fourth theme related to the expression of learner behaviors: learning environment modulates behaviors. Active promotion of psychological safety is necessary for learners to express these behaviors. This safety is mediated through trusting relationships and expert supervisors who serve as colearners and role models. Conclusions: We present several behaviors that allow identification of MALs among EM trainees. These data expand our understanding of MALs and the critical influence of the learning environment. Identification of these behaviors may allow for more precise categorization of targeted curricular interventions and meaningful learning outcomes.

Precision emergency medicine.

BACKGROUND: Precision health is a burgeoning scientific discipline that aims to incorporate individual variability in biological, behavioral, and social factors to develop personalized health solutions. To date, emergency medicine has not deeply engaged in the precision health movement. However, rapid advances in health technology, data science, and medical informatics offer new opportunities for emergency medicine to realize the promises of precision health. METHODS: In this article, we conceptualize precision emergency medicine as an emerging paradigm and identify key drivers of its implementation into current and future clinical practice. We acknowledge important obstacles to the specialty-wide adoption of precision emergency medicine and offer solutions that conceive a successful path forward. RESULTS: Precision emergency medicine is defined as the use of information and technology to deliver acute care effectively, efficiently, and authentically to individual patients and their communities. Key drivers and opportunities include leveraging human data, capitalizing on technology and digital tools, providing deliberate access to care, advancing population health, and reimagining provider education and roles. Overcoming challenges in equity, privacy, and cost is essential for success. We close with a call to action to proactively incorporate precision health into the clinical practice of emergency medicine, the training of future emergency physicians, and the research agenda of the specialty. CONCLUSIONS: Precision emergency medicine leverages new technology and data-driven artificial intelligence to advance diagnostic testing, individualize patient care plans and therapeutics, and strategically refine the convergence of the health system and the community.

Better together: A multistakeholder approach to developing specialty-wide entrustable professional activities in emergency medicine.

Purpose: Entrustable professional activities (EPAs) are a widely used framework for curriculum and assessment, yet the variability in emergency medicine (EM) training programs mandates the development of EPAs that meet the needs of the specialty as a whole. This requires eliciting and incorporating the perspectives of multiple stakeholders (i.e., faculty, residents, and patients) in the development of EPAs. Without a shared understanding of what a resident must be able to do upon graduation, we run the risk of advancing ill-prepared residents that may provide inconsistent care. Methods: In an effort to address these challenges, beginning in February 2020, the authors assembled an advisory board of 25 EM faculty to draft and reach consensus on a final list of EPAs that can be used across all training programs within the specialty of EM. Using modified Delphi methodology, the authors came to consensus on an initial list of 22 EPAs. The authors presented these EPAs to faculty supervisors, residents, and patients for refinement. The authors collated and analyzed feedback from focus groups of residents and patients using thematic analysis. The EPAs were subsequently refined based on this feedback. Results: Stakeholders in EM residency training endorsed a final revised list of 22 EPAs. Stakeholder focus groups highlighted two main thematic considerations that helped shape the finalized list of EM EPAs: attention to the meaningful nuances of EPA language and contextualizing the EPAs and viewing them developmentally. Conclusions: To foreground all key stakeholders within the EPA process for EM, the authors chose within the development process to draft; come to consensus; and refine EPAs for EM in collaboration with relevant faculty, patient, and resident stakeholders. Each stakeholder group contributed meaningfully to the content and intended implementation of the EPAs. This process may serve as a model for others in developing stakeholder-responsive EPAs.

Precision medicine within health professions education: Defining a research agenda for emergency medicine using a foresight and strategy technique (FaST) review.

Background: Precision medicine, sometimes referred to as personalized medicine, is rapidly changing the possibilities for how people will engage health care in the near future. As technology to support precision medicine exponentially develops, there is an urgent need to proactively improve our understanding of precision medicine and pose important research questions (RQs) related to its inclusion in the education and training of future emergency physicians. Methods: A seven-step process was employed to develop a research agenda exploring the intersection of precision and emergency medicine education/training. A literature search of articles about precision medicine was conducted first, which informed the creation of future four scenarios in which trainees and practicing physicians regularly discuss and incorporate precision medicine tools into their discussions and work. Based on these futurist narratives, potential education RQs were generated by an expert panel. A total of 59 initial questions were subsequently categorized and refined to a priority list through a nominal group voting method. The top/priority questions were presented at the 2023 SAEM Consensus Conference on Precision Medicine, Austin, Texas, for further input. Results: Eight high-value education RQs were developed, reflecting a holistic view of the challenges and opportunities for precision medicine education in the knowledge, skills, and attitudes relevant to emergency medicine. These questions contend with topics such as most effective pedagogical methods; intended resulting outcomes and behaviors; the generational differences between practicing emergency physicians, educators, and future trainees; and the desires and expectations of patients. Conclusions: Emergency medicine and emergency physicians must be prepared to understand precision medicine and incorporate this information into their "toolbox" of thinking, problem solving, and communication with patients and colleagues. This research agenda on how best to educate future emergency physicians in the use of personalized data to provide optimal health care is the focus of this article.

2023 Society for Academic Emergency Medicine Consensus Conference on Precision Emergency Medicine: Development of a policy-relevant, patient-centered research agenda.

OBJECTIVES: Precision medicine is data-driven health care tailored to individual patients based on their unique attributes, including biologic profiles, disease expressions, local environments, and socioeconomic conditions. Emergency medicine (EM) has been peripheral to the precision medicine discourse, lacking both a unified definition of precision medicine and a clear research agenda. We convened a national consensus conference to build a shared mental model and develop a research agenda for precision EM. METHODS: We held a conference to (1) define precision EM, (2) develop an evidence-based research agenda, and (3) identify educational gaps for current and future EM clinicians. Nine preconference workgroups (biomedical ethics, data science, health professions education, health care delivery and access, informatics, omics, population health, sex and gender, and technology and digital tools), comprising 84 individuals, garnered expert opinion, reviewed relevant literature, engaged with patients, and developed key research questions. During the conference, each workgroup shared how they defined precision EM within their domain, presented relevant conceptual frameworks, and engaged a broad set of stakeholders to refine precision EM research questions using a multistage consensus-building process. RESULTS: A total of 217 individuals participated in this initiative, of whom 115 were conference-day attendees. Consensus-building activities yielded a definition of precision EM and key research questions that comprised a new 10-year precision EM research agenda. The consensus process revealed three themes: (1) preeminence of data, (2) interconnectedness of research questions across domains, and (3) promises and pitfalls of advances in health technology and data science/artificial intelligence. The Health Professions Education Workgroup identified educational gaps in precision EM and discussed a training roadmap for the specialty. CONCLUSIONS: A research agenda for precision EM, developed with extensive stakeholder input, recognizes the potential and challenges of precision EM. Comprehensive clinician training in this field is essential to advance EM in this domain.