Methods and apparatus for identifying unspecified diagnoses in clinical documentation
First Claim
Patent Images
1. A method comprising:
- processing documentation of a clinician'"'"'s encounter with a patient and/or the patient'"'"'s history to produce a set of one or more clinical facts, a first fact of the set of one or more clinical facts identifying a first diagnosis or a procedure applying to the patient, wherein the processing of the documentation comprises extracting at least one fact of the set of one or more clinical facts from a free-form narration documenting the clinician'"'"'s encounter with the patient, by processing at least a portion of the free-form narration using natural language understanding;
determining, using at least one processor, whether the set of one or more clinical facts that was produced by the processing of the documentation and that identifies the first diagnosis or procedure indicates one or more additional clinical facts for a second diagnosis that may apply to the patient, is different from the first diagnosis, and is not specified in the documentation, wherein the determining comprises;
processing at least a portion of the set of one or more clinical facts, the portion including the first fact, using the at least one processor and a statistical model trained on past clinical reports and/or medical literature and that associates co-occurrence of clinical facts with complications or comorbidities to identify whether the first fact co-occurs in the set with at least one other fact; and
in response to identifying that the first fact co-occurs in the set with the at least one other fact and that the statistical model associates co-occurrence of the first fact and the at least one other fact with at least the second diagnosis, determining at least one value indicative of a likelihood that the second diagnosis applies to the patient as a complication or comorbidity of the first diagnosis or the procedure; and
in response to determining that the likelihood exceeds a threshold, alerting a user that the second diagnosis may possibly apply to the patient as a complication or comorbidity of the first diagnosis or the procedure.
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Accused Products
Abstract
A set of one or more clinical facts may be collected from a clinician'"'"'s encounter with a patient. It may be determined that an unspecified diagnosis not included in the set of facts may possibly be ascertained from the patient encounter. A user may be alerted that the unspecified diagnosis may possibly be ascertained from the patient encounter.
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Citations
50 Claims
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1. A method comprising:
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processing documentation of a clinician'"'"'s encounter with a patient and/or the patient'"'"'s history to produce a set of one or more clinical facts, a first fact of the set of one or more clinical facts identifying a first diagnosis or a procedure applying to the patient, wherein the processing of the documentation comprises extracting at least one fact of the set of one or more clinical facts from a free-form narration documenting the clinician'"'"'s encounter with the patient, by processing at least a portion of the free-form narration using natural language understanding; determining, using at least one processor, whether the set of one or more clinical facts that was produced by the processing of the documentation and that identifies the first diagnosis or procedure indicates one or more additional clinical facts for a second diagnosis that may apply to the patient, is different from the first diagnosis, and is not specified in the documentation, wherein the determining comprises; processing at least a portion of the set of one or more clinical facts, the portion including the first fact, using the at least one processor and a statistical model trained on past clinical reports and/or medical literature and that associates co-occurrence of clinical facts with complications or comorbidities to identify whether the first fact co-occurs in the set with at least one other fact; and in response to identifying that the first fact co-occurs in the set with the at least one other fact and that the statistical model associates co-occurrence of the first fact and the at least one other fact with at least the second diagnosis, determining at least one value indicative of a likelihood that the second diagnosis applies to the patient as a complication or comorbidity of the first diagnosis or the procedure; and in response to determining that the likelihood exceeds a threshold, alerting a user that the second diagnosis may possibly apply to the patient as a complication or comorbidity of the first diagnosis or the procedure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. An 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 documentation of a clinician'"'"'s encounter with a patient and/or the patient'"'"'s history to produce a set of one or more clinical facts, wherein the processing of the documentation comprises extracting at least one fact of the set of one or more clinical facts from a free-form narration documenting the clinician'"'"'s encounter with the patient, by processing at least a portion of the free-form narration using natural language understanding, wherein a first fact of the set of one or more clinical facts identifies a first diagnosis or a procedure applying to the patient; determining whether the set of one or more clinical facts produced by the processing of the documentation indicates one or more additional clinical facts that may apply to the patient, wherein the determining comprises processing, using a statistical model trained on past clinical reports and/or medical literature and that associates co-occurrence of clinical facts with complications or comorbidities, at least a portion of the set of one or more clinical facts produced from the processing of the documentation to identify whether the first fact co-occurs in the set with at least one other fact, wherein the statistical model associates co-occurrence of the first fact and the at least one other fact with at least a second diagnosis different from the first diagnosis, and wherein processing the at least the portion of the set of one or more clinical facts using the statistical model to identify whether the first fact co-occurs in the set with the at least one other fact comprises determining, based on whether the first fact co-occurs with one or more of the at least one other fact, at least one value indicative of a likelihood that the second diagnosis applies to the patient as a complication or comorbidity of the first diagnosis or the procedure; and in response to the likelihood exceeding a threshold, alerting a user that the second diagnosis may possibly apply to the patient as a complication or comorbidity of the first diagnosis or the procedure. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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34. 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 documentation of a clinician'"'"'s encounter with a patient and/or the patient'"'"'s history to produce a set of one or more clinical facts, wherein the processing of the documentation comprises extracting at least one fact of the set of one or more clinical facts from a free-form narration documenting the clinician'"'"'s encounter with the patient, by processing at least a portion of the free-form narration using natural language understanding, wherein a first fact of the set of one or more clinical facts identifies a first diagnosis or a procedure applying to the patient; determining whether the set of one or more clinical facts produced by the processing of the documentation indicates one or more additional clinical facts that may apply to the patient, wherein the determining comprises processing, using a statistical model trained on past clinical reports and/or medical literature and that associates co-occurrence of clinical facts with complications or comorbidities, at least a portion of the set of one or more clinical facts produced from the processing of the documentation to identify whether the first fact co-occurs in the set with at least one other fact, wherein the statistical model associates co-occurrence of the first fact and the at least one other fact with at least a second diagnosis different from the first diagnosis, and wherein processing the at least the portion of the set of one or more clinical facts using the statistical model to identify whether the first fact co-occurs in the set with the at least one other fact comprises determining, based on whether the first fact co-occurs with one or more of the at least one other fact, at least one value indicative of a likelihood that the second diagnosis applies to the patient as a complication or comorbidity of the first diagnosis or the procedure; and in response to the likelihood exceeding a threshold, alerting a user that the second diagnosis may possibly apply to the patient as a complication or comorbidity of the first diagnosis or the procedure. - View Dependent Claims (35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50)
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Specification