Medical diagnosis derived from patient drug history data
First Claim
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1. A non-transitory computer-readable medium having computer-executable instructions operable to cause a computer to;
- receive patient data indicative of a patient'"'"'s age and sex;
receive drug history data that identities drugs taken by the patient;
apply one or more drug diagnosis rules to the patient data and the drug history data, the drug diagnosis rules defining relationships between drug history data, the patient'"'"'s sex, the patient'"'"'s age, and a diagnosis; and
,infer the diagnosis for the patient based on the application of the one or more drug diagnosis rules.
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Abstract
In general the invention is directed to systems, methods, and/or software modules which may analyze a patient'"'"'s drug history, and optionally other data, and derive a probable diagnosis for the patient based on rules.
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Citations
19 Claims
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1. A non-transitory computer-readable medium having computer-executable instructions operable to cause a computer to;
receive patient data indicative of a patient'"'"'s age and sex; receive drug history data that identities drugs taken by the patient; apply one or more drug diagnosis rules to the patient data and the drug history data, the drug diagnosis rules defining relationships between drug history data, the patient'"'"'s sex, the patient'"'"'s age, and a diagnosis; and
,infer the diagnosis for the patient based on the application of the one or more drug diagnosis rules. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer-implemented system for determining a diagnosis for a patient based on at least the patient'"'"'s drug history comprising:
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a database module containing at least;
(1) the age and sex of the patient, and (2) the patient'"'"'s drug history, the drug history including information defining at least two drugs the patient had previously received, and (3) a set of rules which define relationships between age and sex, drug history, and a diagnosis;a rules module, which applies rules from the database module against information indicative of the patient'"'"'s age and sex data and the patient'"'"'s drug history; and
,a diagnosis assignment module, which assigns a probable medical diagnosis to the patient based on the rules module'"'"'s application of rules. - View Dependent Claims (13, 14)
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15. A computer-based system having a memory and a processor which estimates a patient'"'"'s future demand for healthcare services, comprising a software module running on a computer which analyzes a patient'"'"'s drug history, and based on this analysis inters a current diagnosis based on the patient'"'"'s drug history;
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wherein the analysis done by the software modules comprises applying at least one rule which defines a pattern of drug usage associated with a disease; and
,wherein the at least one rule is applied to the patient'"'"'s drug history based on a hierarchy of diseases, the hierarchy being a function, at least in part, of the severity of the disease to the patient'"'"'s health, and the hierarchy of diseases is applied such that if the application of the rules yields a plurality of possible diseases, the most severe disease is associated with the patient.
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16. A computer-implemented method comprising:
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receiving drug history data that identifies a plurality drugs taken by a patient; applying one or more drug diagnosis rules to the drug history data, the drug diagnosis rules defining relationships between drug history data and a possible diagnosis for the patient; determining a probable diagnosis for the patient based on the application of the one or more drug diagnosis rules; and
,receiving data indicative of the patient'"'"'s sex, and wherein the drug diagnosis rules additionally include relationships between the sex of a patient, drug history, and the possible diagnosis. - View Dependent Claims (17, 18)
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19. A computer-implemented method for inferring a patient'"'"'s current diagnosis from a data set, comprising:
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receiving patient indicative of age and sex data; receiving drug history data that identities at least one drug taken by the patient; applying one or more drug diagnosis rules to the patient age and sex data and the drug history data, the drug diagnosis rules defining relationships between drug history data, patient age and sex data, and a diagnosis; receiving diagnosis hierarchy data that defines which disease should be inferred in the event that the application of the one or more drug diagnosis rules results in more than one possible current diagnosis; and
,inferring the current diagnosis for the patient based on the application of the one or more drug diagnosis rules, and the application of the diagnosis hierarchy.
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Specification