June 17, 2030. “Happy Father's Day,” I say, greeting my dad as we meet for breakfast. He smiles and our conversation drifts to our shared passion for medical education, even though he last taught as a clinician educator in January 2020. He turns to me, pensive. “What is the most significant transformation in graduate medical education you have seen since 2020?”

Graduate medical education (GME) leaders continuously engage in discussions that envision the future outlook for GME and its sponsoring organizations.1,2  For example, the GME community is now expected to explicitly link education and training to anticipated societal health care needs,3  as articulated in the 2019 Accreditation Council for Graduate Medical Education Common Program Requirements.4  In celebration of the Journal of Graduate Medical Education's 10th anniversary, this issue's future-oriented editorial explores what GME will look like when our journal celebrates its 20th anniversary. This editorial was finalized just as the COVID-19 pandemic took hold around the world, prompting GME leaders to take actions for the safety and continued education of learners. Although this pandemic highlighted gaps in our health care and medical education systems, it also provided a glimpse of a future that requires more rapid innovation and adaptations when challenged in uncertain times.

As the only journal exclusively focused on providing educational scholarship targeting the GME community, we sought to imagine the future of GME by interviewing thought leaders in medical education. Interviews explored: (1) the most significant transformation in GME over the next decade; (2) how it would impact their role(s) in GME; and (3) what they hope is true in 2030 that is not true today. Their visions lay out—in practical terms—how GME will likely evolve over the next 10 years and also illuminate how these changes might affect trainees, educators, and scholars. Although perspectives varied, we found crosscutting themes that have important implications for medical education scholarship, GME educators' daily work, and program and sponsoring institution future-oriented aims and actions.

Our methods for this project included individual interviews by the authors with 40 thought leaders in GME. Interviewees' responses addressed questions relevant to our community, including the following:

  • Will GME be fully immersed in competency-based medical education in 2030?

  • Will it adapt to a time-variable model with residents matriculating and graduating asynchronously throughout the year as they demonstrate competence?

  • Will it respond to the economic forces shaping medicine and to shifts in the GME payer system by shifting how, where, and when GME occurs and whom it trains?

The leaders' answers were obtained through an independent analysis of interviewer notes by 2 authors (D.S. and L.M.Y.) to identify themes related to each question. A full description of our methods is provided as online supplemental material. As interviewees described their visions of the future of GME, it was clear that the impact of external forces on medicine and medical education dramatically shaped their views. Four main drivers of change emerged: (1) economic forces; (2) big data, artificial intelligence, and technology; (3) competency-based, time-variable medical education (CBME); and (4) teaching, learning, and assessment. The table describes our findings for each of these. With these findings in mind, we describe our conclusions, incorporating the voices of our interviewees.

Our respondents noted that as medicine has evolved, some core values have remained constant: “The values of [our] profession are clear . . . it's a sacred trust we have as physicians with our patients.” As an outcomes-based framework that seeks to meet societal needs, our community predicted that the CBME movement will refocus attention on these values and augment the role GME has always played in preparing the physician workforce to provide care for patients. Framing GME through the lens of a workforce partnership will sustain and further grow funding and program leaders for 2030. Respondents noted that this partnership presents both an opportunity and a responsibility for GME educators to assume key roles in future workforce development. “Failure to lead,” one respondent noted, will result in “needed changes being forced upon GME by external forces and agencies.”

The Right Number and Type of Physicians Trained

By 2030, outcomes-based payments and the anticipated reduction or elimination of GME federal funding makes it likely that GME will be more closely aligned with and funded by health care systems and private corporations to meet physician workforce needs. As GME leaders, we must be responsive to these economic drivers in order to proactively shape the roles and expectations of physicians in 2030. Working closely with their sponsoring institution's executive leaders, GME leaders will identify physician workforce needs for 2030 to ensure that the right mix of specialists and the right number of training slots within each specialty exist. With the recognition that specialty types and numbers will change, interviewees believe that new training programs for specialists must be created. These will involve roles that are not currently central but are emerging in GME, such as a medical virtualist, cancer immunologist, clinical informaticist, lifestyle medicine physician, and complexist.5,6 

Where and How Graduates Will Practice

In 2030 patient and population health care will occur primarily in teams. These teams will see patients in virtual or physical settings beyond the academic medical center. Interviewees report that these teams will include engineers (for robots and co-bots), data analysts, and informaticists, as technology and use of big data suggest a patient's likely diagnosis. These advances will continue to enhance clinicians' ability to target management options to each patient and context by considering their unique genetic footprint.

GME leaders emphasize that the boundaries between medical student, resident, and practicing physician are already blurring and will become more porous by 2030. True competency-based assessment, with longitudinal performance dashboards7  populated from public8  and clinical learning environment data warehouses, will drive learning and assessment.911  Software will automate assessment analytics. By 2030, our current health care education management platforms will be relics. Attribution algorithms will link individual residents to patients and outcome data.12,13  In interviewee judgments, the 2030 assessment systems guiding competency decisions will incorporate an artificial intelligence and natural language-processing infrastructure to gather audio, video (eg, patient interactions, virtual team meetings), text, and image files (embedded in the electronic health record). This system will abstract and analyze the data using predetermined predictive metrics to yield trainee performance data. Using predictive analytics, an interactive, personalized performance profile will then display performance tasks along with performance progression dashboards and associated resources available to the trainee (and faculty) for learning.

A true time-variable, competency-based approach14—where time in training flexes with the learner's achievement of desired competency15—will require seamless competency-based assessment portfolios that span the continuum of medical education. Residency programs will become the “academic home” for alumni to continue learning, independent of practice location. Interviewees said that competency certifications and badges that cross medical specialty and health professions boundaries will continue to expand and link to who can provide care for a specific patient, in a specific context.

Impact of 2030 Transformations on GME Leaders, Teachers, and Trainees

When asked how GME transformations would personally affect GME stakeholders, excitement was a dominant theme, although respondents anticipate that there is a lot of work to be done. The transformation to competency-based, time-variable assessments and use of direct data and learning dashboards open a “Pandora's box of potential innovations, opportunities to advance teaching and learning, and evolving roles for educators” that are consistent with prior findings.16  In 2030 faculty roles will shift from a content expert focused on teaching what to think to a learning choreographer with a focus on how to think.16  These transformations bring a potential for the return of joy and meaning to medical education. Participants' quotes highlight these opportunities and challenges:

Managing portfolios of learning competencies—with trajectories and vectors of learning relevant to a trainee's future and specialty—is more work, but the individualized approach is rewarding.

Much more satisfying careers for educators—competency-based approach avoids all the career transitions for learners and [provides] opportunities for relationships and dialogues with learners on challenging concepts. It brings to the forefront meaning in work.

As an educationalist, even more exciting is the potential for improving individual, population, and global health . . . realized at scale.

I think that the way I educate, which is ultimately the same way that I coached track, relies on the fact that people are more apt to and desire to improve, heed your advice, make (or attempt to make) the changes that you are suggesting when it comes with a certain level of fervor and care for them.

These evolving educator roles will require retooling and training around digital health, artificial intelligence, coaching, and mentoring skills. Respondents anticipated that educators would be compensated based on prespecified tasks and roles explicitly linked to the funds they receive. In turn, interviewees predict that medical education research will be transformed by big data and outcomes, which will require dedicated funding for a limited group of individuals. Coordinated multicenter trials will be increasingly common. Medical education research teams will expand to include computer and data science experts and new corporate partners (eg, Amazon Web Services,17  EPIC,18  and Apple19), which may limit individual faculty scope and involvement.

Hopes for GME in 2030

Our final interview question was “What's one thing that you hope is true in 2030 that is not true now?” Recapturing the joy of medicine and a return to the heart and humanity of being a physician was a common hope: “The charade of education being a core mission gets called out . . . (with) only those programs/organizations who are truly committed to education remaining.” Another hope was that diversity would be present in all aspects of medicine: “It's normalcy and is not seen as an anomaly to be a black doctor or medical student. I'd like to see that.” In addition, interviewees wished that medical education research would reconnect with its purpose: “My hope is that by 2030 the medical education research community (and more broadly GME) recommits and deepens its connection with what should be its main purpose and raison d'être—improving the lives of other humans.”

Medical education leaders' hopes for GME in 2030 reiterated elements highlighted in prior sections and identified new aspirations, including:

  • Implementation of holistic GME admissions processes;

  • Educator role differentiation between assessors and coaches;

  • Seamless transitions in training;

  • Time uncoupled from duration of training;

  • Harnessing artificial intelligence and digital technologies to produce a comprehensive personalized learning profile for each trainee using multiple types of performance data;

  • New training sites and models for training; and

  • Reaffirmation of the importance of longitudinal relationships with patients, teams, and attendings.

Across the world, health care team members and their organizations have shown commitment, integrity, ingenuity, agility, and resolve to sustain safety and quality for patient care and medical education during the COVID-19 pandemic. The best of medicine as a profession has emerged: compassion, empathy, collaboration, and innovation with an enduring commitment to safe, high-quality care for all patients despite a resource-constrained environment.

When we achieve the new normal, will the best of medicine as a profession still be visible as the economic, technological, big data, and other drivers return? Respondents repeatedly emphasized the importance of retaining medicine as a profession.20  Some wondered, “Will [we in] medicine lose our unique identity as a profession, becoming engineered technicians, relinquishing our long-term relationships with patients for the sake of efficiency?” The answer to that question lies within each of us and our steadfast resolve to shape GME's future.

“Much of the science and evidence to make these changes is available,” said one respondent. “While a full understanding of the barriers facing CBME and the best solutions are still unclear, a lack of knowledge is unlikely to be our biggest limiter.”

“Do we have the will and courage?” pondered an executive leader in academic medicine with significant experience in GME.

Our answer is “Yes!” As stated by another GME leader, our focus as leaders must “be driven from our social contract to educate a workforce that meets needs of our community—if not, then what are we doing?” The Journal of Graduate Medical Education is committed to supporting our readers as they lead GME toward 2030.

1
Nasca
TJ,
Thomas
CW.
Medicine in 2035: selected insights from ACGME's scenario planning
.
J Grad Med Educ
.
2015
;
7
(
1
):
139
142
. doi:.
2
Duval
JF,
Opas
LM,
Nasca
TJ,
Johnson
PF,
Weiss
KB.
Report of the SI2025 task force
.
J Grad Med Educ
.
2017
;
9
(
6 suppl
):
11
57
. doi:.
3
Byrne
LM,
Nasca
TJ.
Population health and graduate medical education: updates to the ACGME's common program requirements
.
J Grad Med Educ
.
2019
;
11
(
3
):
357
361
. doi:.
4
Accreditation Council for Graduate Medical Education
.
ACGME Common Program Requirements (Residency)
. ,
2020
.
5
Association of American Medical Colleges
.
Five emerging medical specialties you've never heard of—until now
. ,
2020
.
6
Simpson
D,
Leipzig
RM,
Sauvigné
K,
Donald
W;
Reynolds Geriatrics Education Collaborative. The 2025 big “G” geriatrician: defining job roles to guide fellowship training
.
J Am Geriatr Soc
.
2017
;
65
(
10
):
2308
2312
. doi:.
7
Schumacher
DJ,
West
DC,
Schwartz
A,
Li
ST,
Millstein
L,
Griego
EC,
et al.
Longitudinal assessment of resident performance using entrustable professional activities
.
JAMA Netw Open
.
2020
;
3
(
1
):
e1919316
. doi:.
8
Triola
MM,
Hawkins
RE,
Skochelak
SE.
The time is now: using graduates' practice data to drive medical education reform
.
Acad Med
.
2018
;
93
(
6
):
826
828
. doi:.
9
Smirnova
A,
Sebok-Syer
SS,
Chahine
S,
Kalet
AL,
Tamblyn
R,
Lombarts
KM,
et al.
Defining and adopting clinical performance measures in graduate medical education: where are we now and where are we going?
Acad Med
.
2019
;
94
(
5
):
671
677
. doi:.
10
Warm
EJ,
Mathis
BR.
Ambulatory education: time to move from process to outcome
.
J Grad Med Educ
.
2019
;
11
(
2
):
143
145
. doi:.
11
Epstein
JA,
Noronha
C,
Berkenblit
G.
Smarter screen time: integrating clinical dashboards into graduate medical education
.
J Grad Med Educ
.
2020
;
12
(
1
):
19
24
. doi:.
12
Arora
VM.
Harnessing the power of big data to improve graduate medical education: big idea or bust?
Acad Med
.
2018
;
93
(
6
):
833
834
. doi:.
13
Thoma
B,
Turnquist
A,
Zaver
F,
Hall
AK,
Chan
TM.
Communication, learning and assessment: exploring the dimensions of the digital learning environment
.
Med Teach
.
2019
;
41
(
4
):
385
390
. doi:.
14
Gruppen
LD,
ten Cate
O,
Lingard
LA,
Teunissen
PW,
Kogan
JR.
Enhanced requirements for assessment in a competency-based, time-variable medical education system
.
Acad Med
.
2018
;
93
(
3 suppl
):
17
21
. doi:.
15
Lucey
CR,
Thibault
GE,
ten Cate
O.
Competency-based, time-variable education in the health professions: crossroads
.
Acad Med
.
2018
;
93
(
3 suppl
):
1
5
. doi:.
16
Simpson
D,
Marcdante
K,
Souza
KH,
Anderson
A,
Holmboe
E.
Job roles of the 2025 medical educator
.
J Grad Med Educ
.
2018
;
10
(
3
):
243
246
. doi:.
17
Amazon Web Services Inc
.
Cloud computing with AWS
. ,
2020
.
18
Epic Systems Corp
.
Software and services
. ,
2020
.
19
Apple Inc
.
K–12 education: ignite the creativity in every student
. ,
2020
.
20
Wartman
SA.
The empirical challenge of 21st-century medical education
.
Acad Med
.
2019
;
94
(
10
):
1412
1415
. doi:.

Author notes

Editor's Note: The online version of this article contains a full description of the methods for this project.

The authors would like to thank the following contributors who chose to be acknowledged: M. Brownell Anderson, MEd; Kathryn M. Andolsek, MD, MPH; Felix Ankel, MD; Donald M. Berwick, MD, MPP; Daniel Cabrera, MD; Jason Campbell, MD, MS; Teresa Chan, MD, FRCPC, MHPE; Avraham Z. Cooper, MD; Dave Davis, MD, FCFP, FRCPC(hon), FSACME; Lotte N. Dyrbye, MD, MHPE, FACP; Rachel Gottlieb-Smith, MD; Dink Jardine, MD; Julie Freischlag, MD; Eric S. Holmboe, MD; Barry Issenberg, MD; Mary Beth Kingston, PhD, RN; Lyuba Konopasek, MD; Graham McMahon, MD, MMSc; George C. Mejicano, MD, MS; Lois Margaret Nora, MD, JD, MBA; Miguel Paniagua, MD, FACP, FAAHPM; Trudie E. Roberts, MBChB, PhD, FRCP (London), FRCP (Glasgow), FAoME, FAMEE; Susan E. Skochelak, MD, MPH; Jonathan Sherbino, MD, MEd; Pim W. Teunissen, MD, PhD; Sabrina Taldone, MD, MBA; George E. Thibault, MD; Marc M. Triola, MD, FACP; Nick Turkal, MD; LuAnn Wilkerson, EdD; and James Woolliscroft, MD, MACP, FRCP.

Supplementary data