• Optimizing Faculty Engagement in Education: Solutions and Barriers

    Physician faculty are critical to medical student learning.  From classroom education, which may include didactics or facilitating small group discussions, to clinical experiences in hospitals or outpatient clinics, to mentorship and administrative roles, physician educators are at the pulse of the student experience.  

    Though quality medical education is critical for training the future physician workforce, academic faculty must balance a myriad of competing demands. Physician salaries are typically driven by clinical productivity, whereas teaching and other efforts to support academic missions may be unfunded.  Additional barriers to teaching include time constraints, limited space in the clinic, a lack of confidence or experience on the part of the clinical teacher, bureaucratic rigmarole surrounding student onboarding, volunteer faculty paperwork, , meeting dynamic Liaison Committee for Medical Education Requirements, and completing cumbersome grading forms, just to name a few.  

    As medical student enrollment continues to increase, from 85,122 in 2014-2015 to 99,562 in 2024-2025 [1], additional faculty and clinical training sites are needed to accommodate these learners.  An all hands on deck approach is necessary to ensure continued medical education quality.  This includes optimization of academic faculty teaching, recruitment of additional faculty, and expansion of training sites outside of the home institution.  Already- stretched academic faculty may feel pressure to take on additional students without additional incentive and risk site overcrowding.  Expansion of training sites often means reliance on volunteer, non-salaried faculty in the community.  As such, strategies to motivate and incentivize faculty to undertake medical student education activities become increasingly important. [2, 3]

    While increased student numbers may have exacerbated the need for volunteer faculty, the need for volunteer clinical educators is hardly new.  The Alliance for Clinical Education (ACE) published guidelines on recruiting and retaining community-based faculty to teach medical students nearly 10 years ago [4].  ACE highlights practical teaching strategies that can be leveraged in the community setting, including increasing student involvement and value to the care team by identifying tasks for which the student is responsible; this could include patient check-in, medication reconciliation, updating the patient history, or helping with post visit follow-up [4]. ACE also highlights potential benefits to preceptors including prestige or resources through medical school affiliation, and marketing benefits [4]. 

    Institutions also have a role in developing a culture of educational commitment.  Some schools have adopted Educational Value Units (EVUs) to help capture educational efforts.  A review from Husain, Chen and Lelli (2023) suggests that EVU implementation can have a wide impact.  Institutions noted a wide range of impact types when EVUs were introduced, including redistributed teaching responsibility, increased conference attendance, increased evaluation completion, increased teaching productivity, increased mentorship, increased peer-reviewed publications, increased leadership in academic organization, increased external funding and redistribution of funds within and between departments [5].  While paying physicians to teach has been shown to improve educational experiences for learners [6], funding availability and allocation can be fraught.  If faculty time cannot be reimbursed, bonus structures that financially incentivize teaching may be helpful, as demonstrated at the University of Nebraska Medical Center. 

    Institutions can foster faculty confidence and teaching skills.  This may be through supporting travel or CME funding for education-focused conferences, through institutional faculty development presentations on educational pearls and best practices, and through valuing teaching efforts in promotion and tenure processes [2-4].  

    Additionally, medical colleges can be mindful to streamline paperwork requirements, removing redundant or ambiguous grading questions, and simplify the student evaluation process [2]. Faculty should be provided with clear objectives for students and given autonomy to meet these expectations through methods that are most appropriate to their care setting.  Simulation activities can be employed to ensure that key elements are covered and alleviate pressure from faculty and training sites, which often emphasize different skills or serve specific patient populations.   Examples of simulation activities include standardized patients, manikins, or virtual modules.

    Furthermore, institutions should ensure faculty understand the breadth of clinician educator opportunities available.  Although most physicians equate medical education with direct teaching, there are many other roles in education including mentoring and administrative roles such as clerkship directors or pre-clinical course directors that may be of interest to faculty and play to different faculty strengths. 

    Nationally, specialty boards certifications should also support CME and Maintenance of Certification opportunities to reflect educational quality improvement work undertaken as educators, akin to clinical performance improvement activities.  Additionally, several states now offer tax incentives for clinical precepting [7], or enhanced Medicaid payments which may help offset perceived financial impact without directly impacting medical school budgets. 

    In summary, the need for physician educators is chronic and growing.  Despite barriers, opportunities exist at the departmental, institutional, and national levels that can be employed to help mitigate these barriers.  With increasing demands on physicians and rising numbers of medical students, ongoing attention must be paid to ensure physician faculty are motivated and empowered to train the next generation. 

    What do you think?  Here are some questions to consider:

    • How can institutions balance clinical and educational needs? What strategies could align both? 
    • What do you think is most likely to motivate physicians to engage in teaching?
    • What bureaucratic barriers do you think have the biggest impact on physicians’ willingness to teach and how could these be streamlined?
    • How can institutions ensure that expanding training sites to community settings with volunteer faculty have high educational quality and satisfaction from both the physician educator and the student?

    References:

    1. Boyle P. Medical school enrollment reaches a new high [Internet]. Washington (DC): Association of American Medical Colleges; 2025 Jan 9 [cited 2025 Oct 1]. Available from: https://www.aamc.org/news/medical-school-enrollment-reaches-new-high
    2. Theobald M. STFM tackles preceptor shortage. Ann Fam Med. 2016 Mar;14(2):183-4. doi:10.1370/afm.1917.
    3. Hobson WL, Olson LM, Hopf HW, Winter LC, Byington CL. “The adjunct faculty are our lifeblood”: an institution’s response to deliver value to volunteer community faculty. Fam Med. 2021;53(2):133-8. doi:10.22454/FamMed.2021.565994.
    4. Christner JG, Dallaghan GB, Briscoe G, Casey P, Fincher RM, Manfred LM, Margo KI, Muscarella P, Richardson JE, Safdieh J, Steiner BD. The community preceptor crisis: recruiting and retaining community-based faculty to teach medical students—a shared perspective from the Alliance for Clinical Education. Teach Learn Med. 2016 Jul-Sep;28(3):329-36. doi:10.1080/10401334.2016.1152899. Epub 2016 Apr 19. PMID:27092852.
    5. Husain A, Chen DA, Lelli GJ. A review on the use of the Educational Value Unit (EVU) among teaching hospitals. Healthcare (Basel). 2023;11(1):136. doi:10.3390/healthcare11010136
    6. Ashar B, Levine R, Magaziner J, Shochet R, Wright S. An association between paying physician-teachers for their teaching efforts and an improved educational experience for learners. J Gen Intern Med. 2007 Oct;22(10):1393-7. doi:10.1007/s11606-007-0285-2. Epub 2007 Jul 26. PMID: 17653809; PMCID: PMC2305849.
    7. Smith T. An update on state preceptor tax incentives: Where do we stand? [Internet]. Washington (DC): Physician Assistant Education Association; 2023 Oct 28 [cited 2025 Oct 1]. Available from: https://paeaonline.org/resources/public-resources/paea-news/an-update-on-state-preceptor-tax-incentives-where-do-we-stand

    Authors: Dana Raml, M.D.; Mary Steinman, M.D.; & Linda Love, Ed.D.; Association of Directors of Medical Student Education in Psychiatry

  • Teaching Tomorrow’s Doctors: Why AI Belongs in the Medical Curriculum Today

    [This blog entry was created using AI tools as part of an exploratory process. The initial step involved identifying relevant articles using Open Evidence (OpenEvidence). After filtering the results, the writer selected the four most salient articles for deeper analysis. These were then input into ChatGPT with instructions to generate a 500-word blog post tailored to an audience of medical educators across disciplines. Several rounds of revisions followed, involving both AI-assisted editing and human review, including careful cross-checking of references. This process illustrates one example of how leveraging the strengths of various AI tools can enhance academic and professional communication.]

    Artificial intelligence (AI) isn’t coming to healthcare—it’s already here. From diagnostic support to personalized treatment planning, AI is reshaping how clinicians work. Yet, as the tools grow smarter, are we making sure our future doctors are ready to use them wisely?

    For many medical schools, integrating AI into the curriculum still feels like a futuristic challenge, reserved for tech-forward institutions or students with a coding background. But that mindset may be doing our learners—and their future patients—a disservice.

    As Lee et al. (2021) noted in their scoping review, most current efforts to teach AI in undergraduate medical education are fragmented and inconsistent. Students get glimpses of AI—perhaps in a radiology elective or a data science lecture—but rarely develop a foundational understanding of how it fits into clinical reasoning, ethical decision-making, or patient care.

    Fortunately, the conversation is shifting. Gordon et al. (2024), in their comprehensive BEME review, advocate for a structured, competency-based approach to AI education. Rather than teaching “about technology,” they propose helping students become critical consumers of AI—able to evaluate algorithms, question biases, and make informed clinical choices in AI-augmented environments. 

    What should this look like in practice? Çalışkan et al. (2022) provide a helpful starting point. Through a Delphi study, they identified core competencies that medical students should acquire, including data literacy, understanding the limitations of AI, and ethical awareness. These aren’t just technical skills—they’re critical thinking tools.

    This shift isn’t about turning every med student into a programmer. It’s about preparing them to ask smart questions: Can I trust this algorithm’s output? Is it transparent? Could it reinforce existing healthcare inequities?

    Engaging students in these conversations is not just possible—it’s essential. As Chen et al. (2019) emphasized, students respond well to case-based and clinical examples where AI tools are already in use. Imagine a cardiology module that includes AI-based EKG interpretation, or an ethics seminar that tackles algorithmic bias in patient triage.

    Wartman and Combs (2018) take it a step further, arguing that AI should catalyze a reimagining of medical education itself. In a world where machines can recall every clinical guideline, the value of a physician lies in synthesis, judgment, and humanity. Our curricula and means of evaluation should evolve accordingly.

    And AI isn’t just the content—it can also be the method. Tools that offer AI-powered feedback (Aquifer, 2025) or assist in curriculum mapping (Raskob et al., 2025) are already helping educators personalize learning and identify gaps.

    Medical educators don’t need to become data scientists—but we do need to lead this transformation. Let’s give our students the tools to engage with AI thoughtfully, challenge it where needed, and use it to deliver more equitable, effective care. Because the future of medicine isn’t just high-tech—it’s human-led, AI-enabled.

    What do you think?

    1. Where in your current curriculum could AI naturally be introduced or integrated?
      Think about existing modules (e.g., radiology, pathology, ethics) where AI tools are already being used in clinical practice.
    2. What competencies do you think are most important for students to develop regarding AI in medicine?
      How might you prioritize ethical reasoning, data literacy, or critical evaluation of AI tools?
    3. How prepared do you feel—individually or institutionally—to teach about AI in medical education?
      What support, training, or partnerships would help you feel more confident?
    4. How can AI be used not just as content, but as a tool for teaching and assessment in your program?
      Have you considered ways to use AI for formative feedback, curriculum mapping, or adaptive learning?
    5. What potential risks or unintended consequences should we be mindful of as we integrate AI into medical education?
      How do we ensure equity, transparency, and student-centered learning while adopting new technologies?

    References

    Aquifer (2025). AI-Powered Feedback: Enhancing Clinical Reasoning in Medical Education. Available at https://aquifer.org/blog/ai-powered-feedback-enhancing-clinical-reasoning-in-medical-education/. Accessed June 17, 2025.

    Çalışkan, S. A., Demir, K., & Karaca, O. (2022). Artificial intelligence in medical education curriculum: An e-Delphi study for competencies. PLOS ONE, 17(7), e0271872. https://doi.org/10.1371/journal.pone.0271872

    Chen, J. H., Asch, S. M., & Wren, S. M. (2019). Artificial intelligence in medical education: A review. JMIR Medical Education, 5(1), e13930. https://doi.org/10.2196/13930

    Gordon, M., Daniel, M., Ajiboye, A., Atkinson, H., Downer, J., & Parise, A. (2024). A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher, 46(4), 446–470. https://doi.org/10.1080/0142159X.2024.2314198

    Lee, J., Wu, A. S., Li, D., & Kulasegaram, K. M. (2021). Artificial intelligence in undergraduate medical education: A scoping review. Academic Medicine, 96(11S), S62–S70. https://doi.org/10.1097/ACM.0000000000004291

    Raskob, K., Duman, H., Kinder, J., Lee, J., Wilson, J., & Segerson, K. (2025). Twelve tips to harness the power of AI for curriculum mapping. Medical Teacher, 1–10. https://doi.org/10.1080/0142159X.2025.2513427

    Wartman, S. A., & Combs, C. D. (2018). Reimagining medical education in the age of AI. Academic Medicine, 93(8), 1107–1109. https://doi.org/10.1097/ACM.0000000000002111

    Author: Silka Patel, M.D., MPH; Association of Professors of Gynecology and Obstetrics