Methods and apparatus for updating text in clinical documentation
First Claim
Patent Images
1. A method comprising:
- processing a free-form narration of a patient encounter provided by a clinician, using a natural language understanding engine implemented by one or more processors, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprisinganalyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration,correlating the set of features to one or more abstract semantic concepts, andgenerating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts that could be extracted from the free-form narration;
providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration;
receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and
updating a textual representation of the free-form narration, using at least one processor, to identify the first fact as having been ascertained from the patient encounter.
3 Assignments
1 Petition
Accused Products
Abstract
Based on a free-form narration of a patient encounter provided by a clinician, it may be determined that one or more clinical facts could possibly be ascertained from the patient encounter. One or more options corresponding to the one or more clinical facts may be provided to a user. A selection of a first option of the one or more options may be received from the user. The first option may correspond to a first fact of the one or more clinical facts. A textual representation of the free-form narration may be updated to identify the first fact as having been ascertained from the patient encounter.
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Citations
45 Claims
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1. A method comprising:
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processing a free-form narration of a patient encounter provided by a clinician, using a natural language understanding engine implemented by one or more processors, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprising analyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration, correlating the set of features to one or more abstract semantic concepts, and generating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts that could be extracted from the free-form narration; providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration; receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and updating a textual representation of the free-form narration, using at least one processor, to identify the first fact as having been ascertained from the patient encounter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. Apparatus comprising:
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at least one processor; and a memory storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising; processing a free-form narration of a patient encounter provided by a clinician, using natural language understanding, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprising analyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration, correlating the set of features to one or more abstract semantic concepts, and generating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts that could be extracted from the free-form narration; providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration; receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and updating a textual representation of the free-form narration to identify the first fact as having been ascertained from the patient encounter. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. At least one non-transitory computer-readable storage medium encoded with a plurality of computer-executable instructions that, when executed, perform a method comprising:
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processing a free-form narration of a patient encounter provided by a clinician, using natural language understanding, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprising analyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration, correlating the set of features to one or more abstract semantic concepts, and generating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts that could be extracted from the free-form narration; providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration; receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and updating a textual representation of the free-form narration to identify the first fact as having been ascertained from the patient encounter. - View Dependent Claims (32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45)
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Specification