Chronic pain patient identification system
First Claim
1. A method for identifying individuals at risk for chronic pain condition in a population, comprising:
- selecting direct medical indicia associated with chronic pain that serve as independent variables;
selecting indirect medical indicia associated with chronic pain that serve as independent variables;
selecting non-medical indicia associated with chronic pain that serve as independent variables;
selecting a chronic pain indication that serves as a dependent variable;
creating a chronic pain model using direct medical indicia, indirect medical indicia, non-medical indicia, and chronic pain indication;
applying the chronic pain model to a population to create a patient mathematical expression for each member of the population; and
, identifying potential chronic pain patients by comparing each patient mathematical expression to selection objectives.
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Abstract
Potential chronic pain patients are identified in a population such as an employer or medical care payer database using a method or computer software product to improve accuracy in identifying potential chronic pain patients, decrease the time required to identify potential chronic pain patient increasing opportunities for early intervention, identify selected potential chronic pain patients based upon preference of stakeholders, and many other benefits. Desired patient indicia including direct medical indicia, indirect medical indicia, and non-medical indicia are selected to serve as independent variables. At least one chronic pain indication is selected to serve as a dependent variable. A chronic pain model is created using the patient indicia and the chronic pain indication. The chronic pain model is applied to the population and potential chronic pain patients are identified by selecting individuals from the population that conform to the chronic pain model. Many different embodiments of the chronic pain patient identification system method and software product are possible.
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Citations
30 Claims
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1. A method for identifying individuals at risk for chronic pain condition in a population, comprising:
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selecting direct medical indicia associated with chronic pain that serve as independent variables;
selecting indirect medical indicia associated with chronic pain that serve as independent variables;
selecting non-medical indicia associated with chronic pain that serve as independent variables;
selecting a chronic pain indication that serves as a dependent variable;
creating a chronic pain model using direct medical indicia, indirect medical indicia, non-medical indicia, and chronic pain indication;
applying the chronic pain model to a population to create a patient mathematical expression for each member of the population; and
,identifying potential chronic pain patients by comparing each patient mathematical expression to selection objectives. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30)
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26. A method for identifying and categorizing potential chronic pain patients, comprising:
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accessing a chronic pain model having direct medical indicia, indirect medical indicia, non-medical indicia, and a chronic pain indication that are arranged logic structure, with weighted variables, and equations representing relationship between or among the variables;
applying the chronic pain model to a population to create a patient mathematical expression for each member of the population;
identifying potential chronic pain patients by comparing each patient mathematical expression to selection objectives;
establishing categorization preferences that specify characteristics of patents that are desired to be categorized;
calculating the categorization preferences with each potential chronic pain patient'"'"'s mathematical expression to identify relationships between the categorization preferences and each potential chronic pain patient'"'"'s mathematical expression;
categorizing each potential chronic pain patient based upon the relationships between the categorization preferences and each potential chronic pain patient'"'"'s mathematical expression; and
,monitoring the potential chronic pain patient'"'"'s direct medical indicia, indirect medical indicia, and non-medical indicia for changes and updating the patient'"'"'s mathematical expression based upon changes to the potential chronic pain patient'"'"'s direct medical indicia, indirect medical indicia, and non-medical indicia.
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27. A computer software product that includes a medium readable by a computer, the medium having stored thereon instructions for identifying patients in a population having a chronic pain condition, comprising:
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a first set of instructions when executed by the computer, causes the computer access a chronic pain model having direct medical indicia, indirect medical indicia, non-medical indicia, and a chronic pain indication that are arranged logic structure, with weighted variables, and equations representing relationship between or among the variables;
a second set of instructions when executed by the computer, causes the computer to applying the chronic pain model to a population to create a patient mathematical expression for each member of the population; and
,a third set of instructions when executed by the computer, cause the computer to identify potential chronic pain patients by comparing each patient mathematical expression to selection objectives.
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29. A method for sensitivity analysis of a chronic pain patient model, comprising:
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comparing the identified chronic pain patients with outside diagnosed chronic pain patient data to create a patient error list;
applying an error assessment model to the patient error list to identify the non-corresponding patient indicia that contributed to the errors;
applying a sensitivity analysis model to the non-corresponding patient indicia to identify potential patient indicia changes to reduce errors in identifying chronic pain patients;
selecting at least one patient indicia change from the potential patient indicia changes to apply to the patient indicia; and
,modifying the patient indicia with the at least one selected patient indicia change.
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Specification