Duplication detection in clinical documentation
First Claim
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 Assignment
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Accused Products
Abstract
Methods, systems, and computer-readable media are provided to detect similarities in clinical documents that might be inaccurate or inappropriate. A first clinical document and a second clinical document that are to be compared are identified. This identification of the documents is based on times associated with the first and second clinical documents, an identity of clinicians who authored the first and second clinical documents, an identity of 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. The first clinical document is compared to a portion of the second clinical document. A report is automatically generated, where the report indicates the similarities between the portion of the first clinical document and the portion of the second clinical document that are potentially inaccurate or inappropriate.
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Citations
18 Claims
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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:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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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:
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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. - View Dependent Claims (10, 11, 12, 13)
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14. A system for detecting similarities in two or more clinical documents, the system comprising:
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a computing device having a processor and memory, the computing device comprising; a document identifying component configured to identify at least a first clinical document and a second clinical document that are to be compared to detect the similarities, wherein the first clinical document and the second clinical document are either associated with a same patient or authored by a same clinician, and wherein the identifying 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; an element identifying component configured to, based on a set of temporal rules, identify one or more elements in the first and second clinical documents that are statistically likely to change; a comparing component configured to compare at least a portion of the first clinical document to at least a portion of the second clinical document; and a report generating component configured to automatically generate 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 second clinical document. - View Dependent Claims (15, 16, 17, 18)
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Specification