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SVMIC Diagnostic Radiology: Interpreting the Risks


                       •  Omission errors: search, recognition, and decision-making


                       •  Attention and perception


                       •  Cognitive biases

                       •  Satisfaction of search


                       •  External factors: clinical history, fatigue, workload and
                          interpretive speed, distractions, and role of specialization
                                                                                                        2


                   Unfortunately, many of these factors relate to how humans

                   analyze and process scenes, and they are fundamental features
                   of the human brain that simply cannot be corrected to the point

                   of perfection. Most of the strategies for error reduction have
                   traditionally focused on intensive education of a radiologist-in-

                   training and retraining of practicing radiologists in continuing
                   education, including unknown case reviews, training in pattern

                   recognition, repetition, and drills. While not without merit, it
                   has become clear that these sorts of strategies are ultimately

                   insufficient.


                   Adhering to the “control the things you can control” philosophy,

                   it is important that the radiologist understand the roles
                   that workload and fatigue contribute to diagnostic errors.

                   As medical reimbursement continues to trend downward,
                   radiologists attempt to compensate by undertaking additional

                   responsibilities and increasing organizational productivity.
                   The increased workload, rising quality expectations, poor

                   communication, cognitive biases, and imperfect information
                   systems serve as major sources of fatigue, often leading to

                   diagnostic errors. Despite continuously evolving technology
                   refinement and development, the current medical imaging

                   system has developed as a one-size-fits-all model with relative


                   2 Id.

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