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Teaching About Diagnostic Error: Tools for Creating Space in a Crowded Curriculum
Diagnostic errors are a major source of morbidity and mortality in health care, and there is an increasing focus on reducing diagnostic errors in...
During a recent Aquifer webinar, Aquifer’s peer trainers—experienced health professions educators—posed a question that resonated across institutions:
How do you effectively teach diagnostic excellence when time, faculty expertise, and curriculum space are limited?
This discussion is timely as diagnostic excellence is widely recognized as essential to patient safety, yet it remains one of the most difficult areas to teach consistently. Given the critical importance across MD, DO, NP, and PA education, this is not a niche issue.
Research highlights the scale of the challenge. An estimated 12 million diagnostic errors occur each year in outpatient settings alone,1 with a substantial portion leading to serious harm. More recent analyses suggest that nearly 800,000 patients in the United States experience death or permanent disability annually as a result of diagnostic error.2 Across care settings, error rates remain consistently high, often cited in the range of 10 to 15 percent.3
As clinicians and healthcare educators, the importance is well understood. The challenge is making clinical excellence and diagnostic reasoning teachable in a way that is practical, scalable, and aligned with how students actually learn.
Across the webinar, several consistent barriers surfaced:
Limited time within already dense curricula
Uneven faculty comfort with teaching diagnostic reasoning and error
Variability in clinical experiences across sites and preceptors
Students may encounter powerful learning moments in clinical settings, especially when they witness missed or delayed diagnoses. However, those experiences are unpredictable. They are not structured, and they are not shared across cohorts in a consistent way.
Without a framework, learners are left to piece together how diagnostic decisions are made, where they break down, and how to improve.
Programs that are making progress in this area are not relying on exposure alone. They are introducing structured opportunities for students to practice diagnostic thinking and reflect on it.
A case-based approach has proven particularly effective because it allows educators to:
Make clinical reasoning visible
Surface cognitive biases and common failure points
Explore system-level contributors to diagnostic error
Create space for reflection on patient impact
In the webinar, faculty emphasized how these structured experiences help students build a shared language around diagnosis. That language becomes critical later, when learners need to discuss uncertainty, error, and improvement in real clinical environments.
For programs looking to explore this approach, Aquifer’s Diagnostic Excellence case set provides one example of how this can be implemented.
A consistent theme from the webinar was that effective implementation does not require large-scale curricular change.
Most programs begin by introducing diagnostic excellence in small, targeted ways, then expanding over time.
In pre-clinical years, cases are often used as pre-work and followed by facilitated discussions with students to compare approaches or by reflection in order to introduce clinical reasoning and guide future structured discussion. As students move into clinical environments, those same cases help standardize learning across sites and supplement gaps in experience. During advanced training, educators create space for deeper reflection, particularly when learners begin connecting structured cases to real patient encounters.
Across all phases, the goal remains consistent: provide repeated, deliberate opportunities for learners to examine how diagnoses are made, where they break down, and how to improve.
This approach also allows programs to integrate diagnostic excellence without overloading faculty or disrupting existing courses. Many educators start with a single case in a single course, paired with a facilitated discussion, and build from there based on what proves most valuable.
The insights in this post are drawn directly from Aquifer’s webinar session with peer trainers and educators across programs.
If you’d like to explore the full discussion and hear how others are approaching implementation, check out the recording of:
📽️ Using Aquifer to Advance Topics in Clinical Excellence
And if you are evaluating ways to bring diagnostic excellence into your own curriculum, Aquifer offers Curricular Consults to help align implementation with your program’s goals and structure.
Diagnostic excellence sits at the center of clinical practice. It shapes how clinicians think, how they respond to uncertainty, and how they care for patients.
Teaching it effectively requires more than awareness. It requires structure, repetition, and reflection.
Those elements can be built into the curriculum. The programs leading this work are already showing that it is possible to do so in a way that is both practical and sustainable. The next step is expanding that approach so every learner has consistent, intentional exposure to diagnostic excellence—regardless of where or how they train.
1 Singh H, Meyer AND, Thomas EJ. The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations. BMJ Qual Saf. 2014;23(9):727-731. doi:10.1136/bmjqs-2013-002627. Available from: https://dx.doi.org/10.1136/bmjqs-2013-002627
2 Newman-Toker DE, Nassery N, Schaffer AC, et al. Burden of serious harms from diagnostic error in the United States: A national, cross-sectional analysis using “The Big Three”. BMJ Qual Saf. 2024;33(2):109-120. doi:10.1136/bmjqs-2021-014130. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10792094/
3 Newman-Toker DE, Peterson SM, Badihian S, et al. Diagnostic Errors in the Emergency Department: A Systematic Review [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2022 Dec. (Comparative Effectiveness Review, No. 258). Introduction. Accessed April 29, 2026. Available at: https://www.ncbi.nlm.nih.gov/books/NBK588113/
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