IP Library Granted Patent US 11,901,054
Granted Patent B2
US 11,901,054 · App. 17/516,928 · Granted Feb 13, 2024

Clinical laboratory-based disease management program, with automated patient-specific treatment advice

Inventors: Fredric L. Coe (Chicago, IL); Brian J. Coe (Chicago, IL); John R. Asplin (Chicago, IL); Enno de Vries (Tower Lakes, IL); Elaine Worcester (Chicago, IL)
Assignee: Laboratory Corporation of America Holdings
G16H15/00G16H10/20G16H40/20G16H70/20G16H10/40G16H50/20
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Quick Facts
Patent No.
US 11,901,054
App. No.
17/516,928
Granted
Feb 13, 2024
Kind
B2
Abstract

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.

Claims (43)

1. A method for providing information related to test results, the method comprising:

receiving, by a processor executing software code, test result data;

associating, by the processor, the test result data with standard-of-care data using medical information logic configured for extension without compilation of the software code;

defining, by the processor, a logic matrix within the medical information logic;

condensing, by the processor, using medical practice guideline data and the logic matrix, a medical treatment document segment fora specific patient condition;

accessing, by the processor, the medical treatment document segment for the specific patient condition and a recommended course of action corresponding to the test result data as determined at least in part by the medical treatment document segment;

building, by the processor, using an embedded language protocol, a patient-specific treatment recommendation using the medical treatment document segment and the recommended course of action; and

generating, by the processor, a report including the patient-specific treatment recommendation, wherein the generated report is configured fora physician to recommend the patient specific treatment.

2. The method of claim 1 , wherein the report comprises a graphical representation of the test result data.

3. The method of claim 1 , wherein condensing the medical treatment document segment further comprises determining whether medication is being used.

4. The method of claim 1 , wherein the logic matrix comprises linked matrix trees to associate the test result data with standard-of-care data corresponding to the test result data by simultaneously interrogating grids of logic for different diseases, treatments, and results corresponding to the test result data.

5. The method of claim 4 , further comprising determining information regarding any change in the test result data from prior test results.

6. The method of claim 1 , wherein condensing the medical treatment document segment further comprises associating at least one of demographic data, medication data, or prior test results with standard-of-care data.

7. The method of claim 1 wherein the test result data is associated with at least one of chronic kidney disease, osteoporosis, or thyroid disease.

8. The method of claim 7 further comprising:

performing quality control on the test result data; and

evaluating the test result data in order 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;

wherein the report includes information regarding the test result data compared to the acceptable range.

9. The method of claim 1 , wherein condensing the medical treatment document segment includes simultaneously interrogating grids of logic for a plurality of diseases.

10. The method of claim 1 wherein the condensing the medical treatment document segment further comprises condensing the medical treatment document segment from narrative advice in a set of medical practice guidelines.

11. A system for providing information related to test results, comprising:

a processor configured to execute software code; and

a stored data structure communicatively coupled to the processor, the stored data structure defining an embedded language protocol;

wherein, the processor is further configured to:

receive test result data;

associate the test result data with standard-of-care data using medical information logic configured for extension without compilation of the software code;

define a logic matrix within the medical information logic;

condense, using medical practice guideline data and the logic matrix, a medical treatment document segment for a specific patient condition;

access the medical treatment document segment for the specific patient condition and a recommended course of action corresponding to the test result data as determined at least in part by the medical treatment document segment;

build, using the embedded language protocol, a patient-specific treatment recommendation using the medical treatment document segment and the recommended course of action; and

generate a report including the patient-specific treatment recommendation, wherein the generated report is configured for a physician to recommend the patient specific treatment.

12. The system of claim 11 , wherein the report comprises 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 to associate the test result data with standard-of-care data to condense the medical treatment document segment.

14. The system of claim 11 , wherein the processor is further configured to determine whether the test result data has changed from prior test results.

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.

16. 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 to condense the medical treatment document segment.

17. The system of claim 11 , wherein the test result data are associated with at least one of chronic kidney disease, osteoporosis, or thyroid disease.

18. The system of claim 17 , wherein the processor is further configured to:

perform quality control on the test result data; and

evaluate the test result data in order 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;

wherein the report includes information regarding the test result data compared to the acceptable range.

19. The system of claim 11 , wherein the logic matrix further comprises linked matrix trees to simultaneously interrogate grids of logic for a plurality of diseases.

20. The system of claim 11 , wherein the processor is further configured to condense the medical treatment document segment from narrative advice in a set of medical practice guidelines.

Continuity (5)
Continuation 16403915 · May 6, 2019
Continuation 13755361 · Jan 31, 2013
Continuation 12535287 · Aug 4, 2009
Provisional Application 61086023 · Aug 4, 2008
Related Publication 20220230719A1 · Jul 21, 2022
Cited By (1)
US 12,380,976