1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, perform a method of detecting similarities between two or more clinical documents, the method comprising: identifying a first clinical document; identifying at least a second clinical document that is to be compared to the first clinical document to detect the similarities, wherein the first clinical document and the at least the second clinical document are either associated with a same patient or authored by a same clinician, and wherein the identifying of the at least second clinical document is based on one or more of, (A) times associated with the first and second clinical documents, (B) an identity of one or more clinicians who authored the first and second clinical documents, (C) an identity of one or more patients associated with the first and second clinical documents, (D) a type of the first and second clinical documents, or (E) contents of the first and second clinical documents; using a set of temporal rules, identifying at least a portion of the first clinical document that is statistically likely to change; based on the identifying the at least the portion of the first clinical document that is statistically likely to change, comparing the at least the portion of the first clinical document to at least a portion of the at least the second clinical document; and automatically generating a report without human intervention, the report indicating, at least, the similarities between the at least the portion of the first clinical document and the at least the portion of the at least the second clinical document; determining a relative risk of the first clinical document having inappropriate duplication from the at least the second clinical document.
1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, perform a method of detecting similarities between two or more clinical documents, the method comprising: identifying a first clinical document; identifying at least a second clinical document that is to be compared to the first clinical document to detect the similarities, wherein the first clinical document and the at least the second clinical document are either associated with a same patient or authored by a same clinician, and wherein the identifying of the at least second clinical document is based on one or more of, (A) times associated with the first and second clinical documents, (B) an identity of one or more clinicians who authored the first and second clinical documents, (C) an identity of one or more patients associated with the first and second clinical documents, (D) a type of the first and second clinical documents, or (E) contents of the first and second clinical documents; using a set of temporal rules, identifying at least a portion of the first clinical document that is statistically likely to change; based on the identifying the at least the portion of the first clinical document that is statistically likely to change, comparing the at least the portion of the first clinical document to at least a portion of the at least the second clinical document; and automatically generating a report without human intervention, the report indicating, at least, the similarities between the at least the portion of the first clinical document and the at least the portion of the at least the second clinical document; determining a relative risk of the first clinical document having inappropriate duplication from the at least the second clinical document. 2. The media of claim 1 , further comprising: identifying one or more elements in the first and the at least second clinical documents that are unlikely to be repeated; and computing a ranking for at least one of the one or more identified elements.