Teaching Cognitive Biases to Future Clinicians

Classroom management

June 16, 2025

Teaching Cognitive Biases to Future Clinicians

Classroom management, Scientific research method

Teaching Cognitive Biases to Future Clinicians

Understanding cognitive bias is a cornerstone of clinical reasoning—but it’s also an inoculation against disinformation. When medical students understand how their own minds mislead them, they become better doctors and more skeptical, thoughtful citizens.

Lesson overview:

When teaching cognitive biases as part of a curriculum on medical disinformation, it’s crucial to approach the topic in a way that’s psychologically safe, clinically relevant, and intellectually engaging. Below is a step-by-step instructional flow you can follow to help students recognize how biases influence both diagnostic reasoning and susceptibility to misinformation.

Start by creating psychological safety in your classroom. Talking about cognitive errors can make students feel vulnerable, especially in a high-performance environment like medical school. Emphasize that cognitive biases affect all clinicians—regardless of experience or skill. Reassure students that recognizing bias is not a sign of weakness, but rather a key competency for clinical excellence and professional growth. Avoid framing the session as “spot the mistake” and instead, invite curiosity about how we think.

Next, use clinical cases to anchor the discussion. Abstract concepts like “anchoring bias” or “premature closure” become meaningful only when tied to real-world diagnostic situations. Present short cases in a stepwise fashion, stopping after each new piece of information to ask students what they’re thinking. This encourages active reasoning and reveals common mental shortcuts. After discussion, name the bias and explain how it influenced decision-making in the case. Using peer discussion or small groups here can increase engagement and highlight diverse thinking paths.

Then, explicitly link cognitive biases to disinformation. Help students understand that the same biases that distort clinical judgment also make us vulnerable to false or misleading information in media, public health messaging, or social media. For example, availability bias may cause someone to overestimate the risk of a rare side effect they recently saw in a viral video. Attribution error can lead to stigma in both patient care and public narratives. Drawing these connections helps students see bias literacy as a core skill not just in medicine, but in navigating today’s information landscape.

Throughout the session, normalize uncertainty as part of good medical practice. Many cognitive errors stem from the pressure to “know” quickly and definitively. By modeling uncertainty in your own teaching (e.g., saying “Let’s think this through” or “I’m not sure yet”), you create space for students to be thoughtful and cautious. Reinforce the idea that uncertainty isn’t a threat—it’s a prompt for further exploration.

Finally, encourage metacognition—the habit of thinking about one’s own thinking. After cases or group work, guide students in reflecting on their reasoning processes. Ask questions like “What influenced your first impression?” or “In hindsight, was there a bias at play?” Even brief reflective moments help students build self-awareness and gradually internalize the skill of bias detection.

Cases used:

1. Confirmation Bias

Scenario

Dr. Kowalska is an experienced internist in a district hospital. Over the past week, she has treated three patients with pneumonia caused by atypical bacteria. On the fourth day, a new patient presents to the clinic with similar symptoms—fever, cough, fatigue. Dr. Kowalska immediately assumes it’s another case of pneumonia of the same etiology. She orders only a chest X-ray and basic blood tests.

When the results deviate from the “typical” pneumonia pattern (notably elevated liver enzymes and a heightened autoimmune response), she ignores these data, considering them irrelevant in light of her initial hypothesis. The next day, the patient’s condition worsens—it turns out he has a severe form of infectious mononucleosis, and the pulmonary findings were of a different nature. The correct diagnosis is confirmed only after complications arise, requiring ICU transfer.

Error Analysis

Dr. Kowalska sought only confirmation of her initial hypothesis, disregarding or downplaying signs suggesting a different disease. Her focus on pneumonia stemmed from recent experience and the recency effect, leading to a delayed correct diagnosis.

2. Anchoring Bias

Scenario

Dr. Nowak, a family medicine resident, receives a patient transferred from another facility with a note in the records: “Suspected hematologic malignancy.” The previous doctor had no time for thorough tests but suggested leukemia based on symptoms and deteriorating blood counts.

From the moment he sees the chart, Dr. Nowak assumes the patient indeed has a blood cancer. He focuses on diagnostics in that direction: bone marrow biopsy, immunological tests, and a hematology referral. Meanwhile, the patient complains of increasing lower back pain—Nowak interprets this as “muscle tension” and dismisses it. Eventually, it turns out the patient has metastatic prostate cancer with bone involvement. The hematologic suspicion was unfounded, but the physician clung to the initial anchor for too long and failed to refer the patient earlier for urological exams or spinal MRI.

Error Analysis

The initial chart note became an anchor that the doctor latched onto, causing him to overlook other important clues (back pain, patient’s age) that pointed more toward prostate cancer with metastases.

3. Availability Heuristic

Scenario

Dr. Zieliński has just attended two medical conferences where systemic lupus erythematosus (SLE)—a rare autoimmune disease—was heavily discussed. The lectures were vivid, filled with images, clinical cases, and dramatic scenarios.

A week later, he sees a patient in the clinic with fatigue, vague joint pain, and a mild facial rash. Dr. Zieliński immediately thinks of lupus due to his recent training and orders an extensive array of immunologic tests. However, it turns out the patient simply has sinusitis with elevated CRP, and the rash is an allergic reaction to new cosmetics. The physician’s overfocus on a recently learned, striking disease led to a delay in simple treatment. The patient’s condition worsened over the week until proper antibiotics and anti-inflammatory therapy were initiated.

Error Analysis

Dr. Zieliński recalled a vivid case from recent memory and overestimated the likelihood of lupus instead of rationally considering more common conditions (infection, sinusitis, allergy).

4. Overconfidence Bias

Scenario

Dr. Marciniak is a chief surgeon with 20 years of experience. Considered a top specialist in the region, he feels highly confident in his clinical intuition. When a patient presents with high blood pressure, weakness, and unclear abdominal ultrasound findings, he preliminarily concludes “nothing serious.” He decides further diagnostics will depend on improvement or deterioration.

Despite worsening pain, Marciniak attributes it to “dietary issues” and emotional stress, seeing no need for urgent action. He assures his team, “I’ve seen thousands like this.” Only after persuasion by a younger resident does he order more tests—it turns out the patient has an abdominal aortic aneurysm. The intervention comes just in time.

Error Analysis

The doctor overestimated his intuition and experience, assuming that years of practice minimized the risk of error. He dismissed critical symptoms and nearly missed a life-threatening diagnosis.

5. Hindsight Bias

Scenario

A patient with chest pain and atypical neurological symptoms is admitted to the emergency department. The medical team considers two options: complicated myocardial infarction with unusual neurological presentation or an MS flare-up with circulatory issues. They opt for immediate cardiac diagnostics. However, during procedures, the patient dies from irreversible neurological damage. Autopsy later reveals aggressive cerebral vasculitis.

Dr. Kwiatkowski, who was part of the decision-making team, later says, “We all knew it was neurological,” claiming the signs were obvious. But in reality, half the team believed it was an atypical heart attack. Looking back, the doctor interprets the case as if the only logical decision was always clear.

Error Analysis

Hindsight bias leads people to reconstruct past events to fit current knowledge, resulting in unfair judgments of decision-making and creating myths that “the mistake was obvious.”

6. halo effect (Halo Effect)

Dr. Wroblewski treats a patient who is a former school principal. The patient impresses the doctor with his knowledge and personal culture. He is eager to talk about literature and art, and always comes elegantly dressed and prepared.

Delighted by the patient’s attitude, Dr. Wroblewski doesn’t allow the thought that the patient might be misbehaving. He believes that “such an intelligent person is certainly taking all his medications and is certainly monitoring his diet.” When a patient’s health parameters don’t improve, the doctor explains it as “an abnormal reaction of the body.” Only through a conversation with the family does it come to light that the patient is not taking his diabetes medications regularly at all, and is hiding the fact that he is forgetting his check-ups.

Error analysis

The patient’s positive impression (high personal culture, erudition) projected onto the overall assessment of his health-promoting behavior. The doctor mechanically attributed other positive qualities to him, which made it difficult to detect the source of the therapeutic problem.

7. backward certainty effect vs. self-serving bias

Dr. Bielecki, a pediatrician, comes across an unusual case of a several-year-old with high fever, rash and suspected sepsis. He initially diagnoses meningococcal sepsis and orders targeted antibiotic therapy. However, it turns out that the child was suffering from a rarer meningitis of viral etiology, but the antibiotics helped reduce the accompanying bacterial infection.

The child made a final recovery without major complications. Dr. Bielecki proclaims that it was his knowledge and experience that saved the situation – “I knew very well that an antibiotic had to be started quickly.” At the same time, he overlooks the fact that the initial diagnosis was partially incorrect and owes much to a happy coincidence and the cooperation of the entire team. In the event of failure, he would certainly blame an inaccurate description of symptoms from the parents or the “unavailability of rapid diagnostic tests.”

Error analysis

A doctor takes credit when things end well, while finding excuses if things had gone worse.

8 Dunning-Kruger Effect

Dr. Milewska, having recently completed her internship, starts working in the department of internal medicine. She is ambitious and reads a lot of textbooks. She is often judged to be very competent; she is eager to give orders to nurses and discusses with senior doctors, criticizing their methods.

When it comes to a complex case of a patient with endocrine and cardiac diseases, Dr. Milewska makes a quick diagnosis: “it’s definitely a thyroid breakthrough.” The senior doctor recommends a comprehensive examination, but the young doctor insists that there is no need to waste time. Only when the patient has a sharp drop in blood pressure does it turn out that it was acute adrenal insufficiency syndrome – requiring a completely different treatment. It is only in this situation that Dr. Milewska realizes the extent of her ignorance.

Analysis of the error

The young doctor was unaware of his own limitations, resulting in a misdiagnosis. Lack of experience and overconfidence are typical examples of how the Dunning-Kruger effect works.

9. group delusion / groupthink (Groupthink)

A large provincial hospital has a consortium of oncology doctors. Among them is the highly respected Professor Wysocki, whose opinion is usually treated like an oracle. One day, a patient comes to them with an atypical lung tumor, and the professor – based on past publications and his opinion – suggests that it is a small-cell cancer. He suggests a standard chemotherapy protocol.

One of the junior oncologists has doubts, because the CT image shows some features of a rare variant of lung adenocarcinoma. However, he is afraid to object loudly, lest he come across as someone who questions authority. The rest of the team also remains silent, because they “always agree with the professor.” As a result, the patient gets the wrong chemotherapy, and only later analysis of histopathological studies shows that the treatment should have been completely different.

Error analysis

The desire for “conformity” in the group and the lack of courage to question the opinion of a doctor considered an authority led to the wrong treatment of the patient.

Teaching Cognitive Biases to Future Clinicians