Method and apparatus for interpreting data

• US 20090119130A1
• Filed: 11/05/2007
• Published: 05/07/2009
• Est. Priority Date: 11/05/2007
• Status: Abandoned Application

• Current Assignee: Gerald Jay Sanders, Zebadiah Kimmel
• Original Assignee: Gerald Jay Sanders, Zebadiah Kimmel
• Inventors: Kimmel, Zebadiah, Sanders, Gerald Jay
• Application Number:
  US11/982,881
• Publication Number:
  US 20090119130A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system, method, and computer program for analyzing clinical data relating to a patient is provided. The system includes a computing device having a memory, a plurality of tables configured to be stored to be processed by the computing device, a plurality of modules configured to be executed by the computing device and further configured to interact with the plurality of tables. The modules are configured to process data obtained from a pool of data, wherein the pool of data includes raw clinical data relating to the patient and derived data based on internal processing. The plurality of tables is configured to store the results of execution by the modules. The results may undergo post-processing and then be outputted either to a user or to another electronic system.

Claims

1. A system for analyzing clinical data relating to a patient, comprising:

a computing device having a memory;

a plurality of tables configured to be stored to be processed by said computing device;

a plurality of modules configured to be executed by said computing device and further configured to interact with said plurality of tables;

said modules are configured to

process data obtained from a pool of data, wherein said pool of data includes raw clinical data relating to the patient;

generate derived data based on said processing;

generate a result based on execution of at least one module in said modules using said derived data and/or raw clinical data;

provide said result to said plurality of tables;

said plurality of tables is configured to store said result.

2. The system according to claim 1, further comprising a collator configured to be executed by said computing device and further configured to generate output based on said result received from said plurality of tables.

3. The system according to claim 1, wherein said modules are further configured to request additional data based on said processing of said data obtained from said pool of data.

4. The system according to claim 3, wherein said modules are further configured to generate a trigger in order to cause execution of at least one other module.

5. The system according to claim 4, wherein said modules are further configured to add said requests for additional data and said triggers to a list of items distributed to other modules.

6. The system according to claim 5, wherein said modules are further configured to generate derived data based on said list of items.

7. The system according to claim 4, wherein said execution of said at least one other module is performed immediately.

8. The system according to claim 4, wherein said execution of said at least one other module is performed at a predetermined time and/or under predetermined conditions.

9. The system according to claim 1, wherein said plurality of tables include

a findings table configured to generate findings about the patient'"'"'s condition based on said pool of data;

an orders table configured to generate proposed medical orders for the patient based on said findings and/or said pool of data;

a recommendations table configured to present a recommended course of action for the patient based on said findings and/or said pool of data;

a warnings table configured to generate alerts related to execution by said plurality of modules; and

a data requests table configured to generate requests for additional data related to the patient.

10. The system according to claim 9, wherein each table in said plurality of tables further comprises a plurality of items, wherein each item comprises a plurality of fields;

said plurality of fields is configured to contain information selected from a group consisting of findings, orders, recommendations, warnings, and data requests.

11. The system according to claim 2, wherein said collator is configured to:

perform post-processing on said tables; and

generate output based on said post-processing.

12. The system according to claim 1, wherein each said module is further configured to provide said derived data to said pool of data and said plurality of tables.

13. The system according to claim 1, wherein said clinical data is selected from a group consisting of:

laboratory data, medical history, hospital data, physical findings, medicolegal data, demographic data, and genomic/proteomic data.

14. A method for analyzing clinical data relating to a patient using a computing device having a memory for processing and storing a plurality of tables, executing a plurality of modules configured to interact with the plurality of tables, the method comprising step of:

processing data obtained from a pool of data, wherein the pool of data includes raw clinical data relating to the patient;

generating derived data based on the processed data;

executing at least one module to generate a result;

providing the result to the plurality of tables;

using the plurality of tables, storing the result; and

generating output based on the stored result received from the plurality of tables.

15. The method according to claim 14, further comprising

requesting additional data based on said processing of the data obtained from the pool of data.

16. The method according to claim 15, further comprising

generating a trigger to trigger execution of at least one module.

17. The method according to claim 16, further comprising

adding requests for additional data and triggers to a list of items distributed to other modules.

18. The method according to claim 17, further comprising

generating derived data based on the list of items.

19. The system according to claim 16, wherein said generating a trigger step further comprises:

executing the at least one other module immediately.

20. The method according to claim 16, wherein said generating a trigger step further comprises:

executing the at least one module at a predetermined time and/or under predetermined conditions.

21. The method according to claim 14, further comprising:

generating

a finding for the patient based on the pool of data;

a proposed treatment plan for the patient based on the finding;

a recommended course of action for the patient based on the finding;

an alert related to execution by the at least one module; and

a request for additional data related to the patient.

22. A system for analyzing clinical data relating to a patient using a computing system having a memory, wherein the computing system processes and stores a plurality of tables, executes a plurality of modules configured to interact with the plurality of tables, comprising:

a means for processing data obtained from a pool of data, wherein said pool of data includes raw clinical data relating to the patient;

a means for generating derived data based on the processing of data;

a means for executing at least one module from the plurality of modules to generate a result;

a means for providing the result to the plurality of tables;

a means for storing the result; and

a means for generating output based on the stored result.

23. A computer program for analyzing clinical data relating to a patient, wherein the computer program is executable on a computing device having a memory, the computer program comprises:

a plurality of tables;

a plurality of modules configured to interact with said plurality of tables;

said modules are configured to

process data obtained from a pool of data, wherein said pool of data includes raw clinical data relating to the patient;

generate derived data based on said processing;

generate a result based on execution of at least one module in said modules using said derived data and/or raw clinical data;

provide said result to said plurality of tables;

said plurality of tables is configured to store said result;

24. The computer program according to claim 23, further comprising a collator configured to generate output based on said result received from said plurality of tables.