Patent Document ID: 10032127
Application ID: 13782048

Base Claim:
1. A method comprising: processing, using a natural language understanding engine implemented by one or more processors, a first free-form narration, narrated by a clinician, of an encounter with a patient, the processing comprising: detecting a mention in the first free-form narration of a first orderable item of a type selected from the group consisting of a medication, a clinical procedure, and a laboratory test; performing a first semantic analysis of at least a part of the first free-form narration, wherein performing the first semantic analysis comprises: determining a type of the first orderable item detected in the first free-form narration, wherein the determining is performed by the natural language understanding engine; in response to determining that the type of the first orderable item is one of one or more first types, performing the first semantic analysis by applying a trained statistical model; and in response to determining that the type of the first orderable item is one of one or more second types, performing the first semantic analysis by applying a rules-based system; determining, based on the first semantic analysis, that the detected mention of the first orderable item is in a statement expressing that the clinician intends to order the first orderable item; in response to determining that the detected mention of the first orderable item in the first free-form narration is in a statement expressing that the clinician intends to order the first orderable item, generating an order for the first orderable item; and processing, using the natural language understanding engine implemented by the one or more processors, a second free-form narration, narrated by the clinician, of an encounter with the patient, the processing comprising: detecting a mention in the second free-form narration of a second orderable item of the type selected from the group consisting of a medication, a clinical procedure, and a laboratory test; performing a second semantic analysis of at least a part of the second free-form narration, wherein performing the first semantic analysis comprises: determining a type of the second orderable item detected in the second free-form narration, wherein the determining is performed by the natural language understanding engine; in response to determining that the type of the second orderable item is one of the one or more first types, performing the second semantic analysis by applying a trained statistical model; and in response to determining that the type of the second orderable item is one of the one or more second types, performing the second semantic analysis by applying a rules-based system; determining, based on the second semantic analysis, that the detected mention of the second orderable item is in a statement not expressing that the clinician intends to order the second orderable item; and in response to determining that the detected mention of the second orderable item in the second free-form narration is in a statement not expressing that the clinician intends to order the second orderable item, not generating an order for the second orderable item.

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Claim 8:
8. The method of claim 1 , wherein the rules-based system comprises a plurality of rules that each specify one or more words or one or more combination of words and one or more facts to extract when the one or more words or the one or more combination of words are detected.