Decisions in clinical practice, especially in the acute setting where identification of potentially unstable patients is critical, are hard to be made. They rely, or should rely, on the clinical information of the patient, the best available knowledge, the expertise of the operator and the patient's preferences. Clinical prediction tools are often used as a “short-cut” to simplify and standardize such choices, without making errors.
