Skip to main content
. 2012 May 23;18(3):343–363. doi: 10.1007/s10459-012-9374-z

Table 1.

Summary description of heuristics and biases

Heuristic Definition Unit of analysis Heuristic and/or bias Detection algorithm
Anchoring Locking on to salient evidence early in the diagnostic process leading to an initial diagnosis Single case Heuristic Participant adds a hypothesis, then adds findings, and then adds a diagnosis supported by the new findings. The diagnosis may be (1) the same as the hypothesis (sufficient nonadjustment) or (2) different than the hypothesis (sufficient adjustment) as long as the findings support the subsequent diagnosis
Bias Participant adds a hypothesis, then adds findings, and then adds a diagnosis that is not supported by the new findings. Participant does not subsequently add hypothesis or diagnosis consistent with all new findings (insufficient adjustment)
Availability The disposition to judge things as either more likely or as frequently occurring if they come to mind readily Case sequence Bias In a sequence of three cases where the third case has a different diagnosis than the first two cases, the participant makes an incorrect diagnosis in the third case. The incorrect diagnosis is identical to the correct diagnosis in the two immediately preceding cases
Confirmation bias The tendency to look for confirming evidence to support a diagnosis rather than looking for disconfirming evidence to refute it Single case Bias Participants adds an incorrect diagnosis, and then adds findings that support this incorrect diagnosis
Gambler’s Fallacy The belief that when deviations from expected results occur in repeated independent events, it increases the likelihood of deviations in the opposing direction, leading the clinician to reject a diagnosis because the entity has been observed more frequently than expected in recent cases Case sequence Bias In a sequence of three cases where all three cases have the same diagnosis, the participant makes a diagnosis in the first case, the same diagnosis in the second case, but a different and incorrect diagnosis in the third case. In the first two cases, the participant’s diagnosis may be either correct or incorrect
Representativeness (Type 2) The tendency to judge an entity against a mental model based on similarity to a prototype, leading the clinican to rigidly associate a feature with a single disease, based on a learned model Case sequence Heuristic Participant adds a finding and then immediately (in the next action) adds a correct diagnosis. This sequence of actions must have been observed more than once during the session. The relationship between the finding and the diagnosis must have been included in the study period
Bias Participant adds a finding and then immediately (in the next action) adds an incorrect diagnosis. This sequence of actions must have been observed more than once during the session. The relationship between the finding and the diagnosis must have been included in the study period
Search Satisficing The tendency to call off a search once something has been found, leading to premature diagnostic closure Case sequence Bias Participant adds a hypothesis and then adds a diagnosis without intervening findings. The diagnosis must be incorrect or the differential diagnosis must be incomplete. The case must be immediately closed. If any findings are added during the case, they must precede the addition of the hypotheses
Overconfidence and underconfidence The belief in one’s own performance, with extremes representing opposite ends of a spectrum of feeling-of-knowing Case sequence Bias Based on the comparison of participant self assessment to performance for all items. Bias is computed as result of the subtraction of total correct from total sure, divided by total items, and range from +1 (completely overconfident) to −1 (completely underconfident), with an optimum value of zero indicating perfect matching between their confidence and performance