Method and system for supporting a clinical diagnosis
First Claim
1. An automated method for supporting a clinical diagnosis for a patient, comprising:
- receiving, by a processor, patient-specific information regarding a plurality of symptoms associated with one or more of a plurality of diseases, wherein the patient-specific information regarding the plurality of symptoms categorizes each of a first subset of the plurality of symptoms as a present symptom determined as being present in the patient, and categorizes each of a second subset of the plurality of symptoms as an absent symptom determined as being absent in the patient;
storing in memory the patient-specific information regarding the plurality of symptoms associated with the patient;
the processor establishing or accessing a multi-tier relationship between said plurality of symptoms and the plurality of diseases defining, for each disease, one or more of the plurality of symptoms that match that disease;
the processor adjusting at least one weighting factor for at least one (a) at least one of said multi-tier relationships and (b) at least one of said symptoms, based on a knowledge model; and
the processor building a ranking of diseases from said multi-tier relationship based on said weighting factors and said patient-specific information regarding the plurality of symptoms;
wherein for each respective disease, the number of symptoms categorized as present symptoms for the patient that match the respective disease, as defined by the multi-tier relationship, increases the ranking of the respective disease; and
wherein the number of symptoms categorized as absent symptoms for the patient that match the respective disease, as defined by the multi-tier relationship, decreases the ranking of the respective disease.
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Accused Products
Abstract
Methods and systems may support conclusions of a clinician by enabling the clinician to arbitrarily define the symptoms according to the patient'"'"'s record. The method may comprise: (a) determining a plurality of symptoms representing a patient and including characteristics of the patient, the symptoms being categorized as present symptoms, absent symptoms or open symptoms; (b) establishing a multi-tier relationship between said symptoms and a plurality of diseases based on a knowledge model; (c) adjusting weighting factor(s) for at least one multi-tier relationship based on said knowledge model; (d) optionally adjusting at least one weighting factor of step (c) by an expert; and (e) building a ranking of diseases from said multi-tier relationship based on said weighting factors. The method may provide an efficient ranking of disease information, thereby supporting a clinical diagnosis that may consider multiple symptoms while emphasizing particular symptoms in view of the clinician'"'"'s expertise.
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Citations
6 Claims
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1. An automated method for supporting a clinical diagnosis for a patient, comprising:
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receiving, by a processor, patient-specific information regarding a plurality of symptoms associated with one or more of a plurality of diseases, wherein the patient-specific information regarding the plurality of symptoms categorizes each of a first subset of the plurality of symptoms as a present symptom determined as being present in the patient, and categorizes each of a second subset of the plurality of symptoms as an absent symptom determined as being absent in the patient; storing in memory the patient-specific information regarding the plurality of symptoms associated with the patient; the processor establishing or accessing a multi-tier relationship between said plurality of symptoms and the plurality of diseases defining, for each disease, one or more of the plurality of symptoms that match that disease; the processor adjusting at least one weighting factor for at least one (a) at least one of said multi-tier relationships and (b) at least one of said symptoms, based on a knowledge model; and the processor building a ranking of diseases from said multi-tier relationship based on said weighting factors and said patient-specific information regarding the plurality of symptoms; wherein for each respective disease, the number of symptoms categorized as present symptoms for the patient that match the respective disease, as defined by the multi-tier relationship, increases the ranking of the respective disease; and wherein the number of symptoms categorized as absent symptoms for the patient that match the respective disease, as defined by the multi-tier relationship, decreases the ranking of the respective disease. - View Dependent Claims (2, 3, 4)
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5. A system for supporting a clinical diagnosis, the system comprising:
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a patient record configured to receive and store patient-specific information regarding a plurality of symptoms associated with a patient, wherein the patient-specific information regarding the plurality of symptoms categorizes each of a first subset of the plurality of symptoms as a present symptom determined as being present in the patient, and categorizes each of a second subset of the plurality of symptoms as an absent symptom determined as being absent in the patient; a weighted disease-symptom module including a knowledge model defining a multi-tier relationship between said plurality of symptoms and a plurality of diseases, the multi-tier relationship defining, for each disease, one or more of the plurality of symptoms that match that disease; the weighted disease-symptom module configured to adjust at least one weighting factor for at least one (a) at least one of said multi-tier relationships and (b) at least one of said symptoms, based on a medical ontology module; the weighted disease-symptom module configured to generate a ranking of diseases from said multi-tier relationship weighted by said weighting factors and said patient-specific information regarding the plurality of symptoms; wherein for each respective disease, the number of symptoms categorized as present symptoms for the patient that match the respective disease, as defined by the multi-tier relationship, increases the ranking of the respective disease; and wherein the number of symptoms categorized as absent symptoms for the patient that match the respective disease, as defined by the multi-tier relationship, decreases the ranking of the respective disease; and wherein the weighted disease-symptom module is embodied by software stored in a non-transitory computer-readable medium and executable by a processor. - View Dependent Claims (6)
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Specification