CLINICAL LABORATORY-BASED DISEASED MANAGEMENT PROGRAM, WITH AUTOMATED PATIENT-SPECIFIC TREATMENT ADVICE
A method is provided, the method including receiving a test result data, wherein said test result data represents a result of a test on a physical specimen, associating said test result data with a standard-of-care data, wherein said standard-of-care data represents a recommended course of action for the condition represented by the test result data, and transforming said specimen data and said standard-of-care data into a human-readable form. A system including a processor is provided, a software adapted to be executed on said processor, said software comprising instructions for receiving a test result data, wherein said test result data represents a result of a test on a physical specimen, associating said test result data with a standard-of-care data, wherein said standard-of-care data represents a recommended course of action for the condition represented by the test result data, and transforming said specimen data and said standard-of-care data into a human-readable form.
1 . A processor-implemented method comprising:
accessing test result data;
interrogating grids of medical information logic for a plurality of diseases to pull one or more content tags;
producing, using medical practice guideline data and based on the one or more content tags, medical treatment text for a specific patient condition associated with the test result data;
accessing a recommended course of action corresponding to the test result data as determined at least in part by the medical treatment text;
building, using an embedded language protocol, a patient-specific treatment recommendation using the medical treatment text and the recommended course of action; and
causing the patient-specific treatment recommendation to be displayed.
2 . The processor-implemented method of claim 1 , further comprising providing a graphical representation of the test result data.
3 . The processor-implemented method of claim 1 , wherein producing the medical treatment text further comprises determining whether medication is being used.
4 . The processor-implemented method of claim 1 , wherein the grids of medical information logic comprise linked matrix trees to associate the test result data with standard-of-care data corresponding to the test result data.
5 . The processor-implemented method of claim 4 , further comprising:
determining information regarding any change in the test result data from prior test results; and
causing the information to be displayed.
6 . The processor-implemented method of claim 4 , further comprising accessing an attribute for interrogating the grids of medical information logic, wherein the attribute corresponds to a node within the linked matrix trees.
7 . The processor-implemented method of claim 1 , wherein producing the medical treatment text further comprises associating at least one of demographic data, medication data, or prior test results with standard-of-care data.
8 . The processor-implemented method of claim 1 wherein the test result data is associated with at least one of chronic kidney disease, osteoporosis, or thyroid disease.
9 . The processor-implemented method of claim 8 further comprising:
performing quality control on the test result data; and
evaluating the test result data to identify when at least a portion of the test result data fits into an acceptable range and when at least the portion of the test result data is above or below the acceptable range; and
causing information regarding the test result data compared to the acceptable range to be displayed.
10 . The processor-implemented method of claim 1 wherein producing the medical treatment text further comprises condensing the medical treatment text from narrative advice in a set of medical practice guidelines.
11 . A system comprising:
a processor configured to execute software code; and
a stored data structure communicatively coupled to the processor, the stored data structure defining grids of medical information logic;
wherein, the processor is further configured to:
access test result data;
interrogate the grids of medical information logic for a plurality of diseases to pull one or more content tags;
produce, using medical practice guideline data and based on the one or more content tags, medical treatment text for a specific patient condition associated with the test result data;
access a recommended course of action corresponding to the test result data as determined at least in part by the medical treatment text;
build, using an embedded language protocol, a patient-specific treatment recommendation using the medical treatment text and the recommended course of action; and
cause the patient-specific treatment recommendation to be displayed.
12 . The system of claim 11 , wherein the processor is further configured to provide a graphical representation of the test result data.
13 . The system of claim 11 , wherein the processor is further configured to determine whether medication is being used.
14 . The system of claim 11 , wherein the grids of medical information logic comprise linked matrix trees to associate the test result data with standard-of-care data corresponding to the test result data.
15 . The system of claim 14 , wherein the processor is further configured to:
determine information regarding any change in the test result data from prior test results; and
cause the information to be displayed.
16 . The system of claim 14 , wherein the processor is further configured to access an attribute for interrogating the grids of medical information logic, wherein the attribute corresponds to a node within the linked matrix trees.
17 . The system of claim 11 , wherein the processor is further configured to associate at least one of demographic data, medication data, or prior test results with standard-of-care data.
18 . The system of claim 11 , wherein the test result data is associated with at least one of chronic kidney disease, osteoporosis, or thyroid disease.
19 . The system of claim 18 , wherein the processor is further configured to:
perform quality control on the test result data; and
evaluate the test result data to identify when at least a portion of the test result data fits into an acceptable range and when at least the portion of the test result data is above or below the acceptable range; and
cause information regarding the test result data compared to the acceptable range to be displayed.
20 . The system of claim 11 , wherein producing the medical treatment text further comprises condensing the medical treatment text from narrative advice in a set of medical practice guidelines.