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Fig. 2 | BMC Medical Education

Fig. 2

From: Career-computer simulation increases perceived importance of learning about rare diseases

Fig. 2

Algorithmic design for career experience of conditions with varying prevalence for a graduating cohort. Inputs for the simulation are defined as either: from a condition list; specific to the health profession involved; or offered by students in-class. Important universal values for the simulation are calculated from inputs, and a data structure created to receive results. The simulation involves two separate loops, the outer loop cycles from the first to the last simulated clinician. The inner loop cycles for each clinician through the list of conditions according to CCN. Important ‘if statements’ leading to different handling of prevalence values are indicated with ‘?’ in arrows. These test: whether the specific CCN is classified as being acquired either ‘spontaneously’, or as a ‘congenital/persistent’ condition; and if the expected number of cases for the particular CCN is less than 1. Once all clinicians and conditions have been considered, data are summated and displayed graphically

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