9. A computerized method carried out by at least one server having at least one processor for detecting similarities in two or more clinical documents, the method comprising: identifying data of a second clinical document that is same or similar to data of a first clinical document, the first clinical document and the second clinical document being associated with a same patient or being authored by a same clinician; using a set of temporal rules, identifying one or more first clinical document portions having similar information to one or more second clinical document portions that are statistically unlikely to be repeated between the first clinical document and the second clinical document; based on the identifying the one or more first clinical document portions having similar information to the one or more second clinical document portions, comparing the one or more first clinical document portions to the one or more second clinical document portions; computing a ranking for the first clinical document in relation to the second clinical document, the ranking indicating a relative risk of the first clinical document having the data that is the same or similar to the data of the second clinical document, wherein the ranking is based on one or more of: (A) a text similarity measurement, (B) a quantity of identical phrases or sentences having temporal patterns, (C) a quantity of identical phrases or sentences having charge-related patterns, or (D) a quantity of phrases or sentences describing clinical procedures or occurrences that are unlikely to repeat from a first point in time corresponding to the first clinical document to a subsequent point in time corresponding to the second clinical document; transforming the one or more first clinical document portions and the one or more second clinical document portions based on the identified data of the second clinical document that is the same or similar to the data of the first clinical document, the transformed data indicating the similarities between the first clinical document and the second clinical document; and generating a report that includes at least the computed ranking and the transformed data indicating the similarities between the first clinical document and the second clinical document for allowing a user to quickly find and understand the similarities or differences between the two or more clinical documents.
9. A computerized method carried out by at least one server having at least one processor for detecting similarities in two or more clinical documents, the method comprising: identifying data of a second clinical document that is same or similar to data of a first clinical document, the first clinical document and the second clinical document being associated with a same patient or being authored by a same clinician; using a set of temporal rules, identifying one or more first clinical document portions having similar information to one or more second clinical document portions that are statistically unlikely to be repeated between the first clinical document and the second clinical document; based on the identifying the one or more first clinical document portions having similar information to the one or more second clinical document portions, comparing the one or more first clinical document portions to the one or more second clinical document portions; computing a ranking for the first clinical document in relation to the second clinical document, the ranking indicating a relative risk of the first clinical document having the data that is the same or similar to the data of the second clinical document, wherein the ranking is based on one or more of: (A) a text similarity measurement, (B) a quantity of identical phrases or sentences having temporal patterns, (C) a quantity of identical phrases or sentences having charge-related patterns, or (D) a quantity of phrases or sentences describing clinical procedures or occurrences that are unlikely to repeat from a first point in time corresponding to the first clinical document to a subsequent point in time corresponding to the second clinical document; transforming the one or more first clinical document portions and the one or more second clinical document portions based on the identified data of the second clinical document that is the same or similar to the data of the first clinical document, the transformed data indicating the similarities between the first clinical document and the second clinical document; and generating a report that includes at least the computed ranking and the transformed data indicating the similarities between the first clinical document and the second clinical document for allowing a user to quickly find and understand the similarities or differences between the two or more clinical documents. 10. The method of claim 9 , wherein the identifying is based on one or more times associated with the first and second clinical documents, an identity of one or more clinicians who authored the first and second clinical documents, an identity of one or more patients associated with the first and second clinical documents, a type of the first and second clinical documents, or contents of the first and second clinical documents.