1. A method in a computing system for preemptive determination of the potential for atypical clinical event occurrence related to the administering of at least one medication to a person having an electronic medical record, the method comprising the steps of: accessing medication-procedure tables that maintain specific sets of medications and dosages thereof that are administered for each of a plurality of medical procedures; selecting a list of medications from the medication-procedure tables that are to be administered to the person for a medical procedure scheduled for the person, wherein the medication list includes a specific set of medications and dosages thereof that correspond to the medical procedure, wherein the medical procedure includes any medical procedure requiring the use of anesthesia; employing a control server to compare the medication list directly against information extracted from the person's electronic medical record (EMR), wherein the extracted information includes a weight and an age of the person; determining that at least one match exists between any of the selected medications included in the medication list and the EMR information, wherein the match indicates the potential of drug-allergy reactions occurring upon the selected medication being administered to the person; generating an alert box for each match, wherein the alert box includes an indication of the selected medication from the medication list that is involved in the match and a predicted severity of adverse affects that result from administering the matching selected medication, wherein the predicted severity is based on the dosage of the selected matching medication, and the age and the weight of the person receiving the medical procedure; and outputting a response to a window on a display device, wherein the response includes presenting the alert box for each match within the window, and wherein the predicted severity for each match is presented as a graphical symbol that represents at least one of mild severity, moderate severity, or severe severity.