System and method for treatment and outcome measurement analysis

• US 6,450,956 B1
• Filed: 11/06/2000
• Issued: 09/17/2002
• Est. Priority Date: 11/06/2000
• Status: Active Grant

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Corporate Research Incorporated (Siemens AG)
• Inventors: Santoso, Nugroho Iwan, Rappaport, David R.
• Primary Examiner(s): Shaver, Kevin
• Assistant Examiner(s): MCCROSKY, DAVID J
• Application Number:
  US09/706,631
• Time in Patent Office: 680 Days
• Field of Search: 600/300, 600/301, 128/897-925
• US Class Current: 600/300
• 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 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A system and method for providing treatment and outcome measurement analysis. In one aspect, real-time treatment options having statistical outcome data are generated and provided to users. Data from remote data sources is compiled onto a server and used to generate a decision support model. The user can then present patient features to the decision support model, and will be provided with a set of possible treatment options with statistical information in return. When a user selects a treatment option, an outcome analysis is performed to assess the patient'"'"'s progress. The results of the outcome analysis are input into the server to update the decision support model.

Claims

1. A method of generating and providing treatment options and outcome analyses over a communication network comprising the steps of:

filtering data from a plurality of remote databases and a local database;

compiling said data in a server;

providing the server with a plurality of physical conditions;

constructing a plurality of decision support models using the data, wherein each decision support model generates output comprising a plurality of real-time treatment options including statistical success information of each option for treating each of the plurality of physical conditions;

providing patient features to the decision support model;

matching said patient features to a corresponding physical condition of said plurality of physical conditions;

presenting a subscriber with said plurality of real-time treatment options including statistical success information of each option for treating the patient features, wherein upon selection by the subscriber of one of said plurality of real-time treatment options, the server further includes the steps of;

performing an outcome analysis for assessing a result of said selected treatment option; and

automatically updating the statistical success information of the treatment option using the result.

2. The method of claim 1, wherein the data comprises clinical data.

3. The method of claim 1, wherein the remote databases include a public remote database and an internal remote database.

4. The method of claim 1, wherein the local database comprises clinical data of a plurality of patients in a hospital.

5. The method of claim 1, wherein the plurality of physical conditions include physical states and diseases.

6. The method of claim 1, wherein the plurality of physical conditions comprise a group of diagnoses and physical conditions according to an ICD-9 coding system.

7. The method of claim 1, wherein the patient features includes one or more of a patient'"'"'s test results, changes in the patient'"'"'s physical condition, an emergency, symptoms, previous treatments and symptoms, and a diagnosis.

8. The method of claim 1, wherein the patient features are provided to the decision support model by a hospital monitoring system.

9. The method of claim 1, wherein if the patient features are not matched to a corresponding physical condition, further comprising the steps of:

providing the server with the patient features;

automatically constructing a new decision support model using the data, wherein the new decision support model generates output comprising a plurality of real-time treatment options including statistical success information for treating the patient features;

presenting a subscriber with said plurality of real-time treatment options including statistical success information of each option for treating the patient features, wherein upon selection by the subscriber of one of said plurality of real-time treatment options, the server further includes the steps of;

performing an outcome analysis for assessing a result of said selected treatment option; and

automatically updating the statistical success information of the treatment option using the result.

10. The method of claim 1, wherein the subscriber is presented with said plurality of treatment options by one or more of computers, remote communication devices, and wireless devices.

11. The method of claim 1, wherein the subscriber is a clinician.

12. The method of claim 1, wherein the subscriber is a hospital monitoring system.

13. A method of generating and providing treatment options and outcome analyses over a communication network comprising the steps of:

filtering data from a plurality of remote databases and a local database;

compiling said data in a server;

providing the server with a plurality of physical conditions;

constructing a decision support model using the data, wherein the decision support model generates output comprising a plurality of real-time treatment options including statistical success information of each option for treating each of the plurality of physical conditions;

providing patient features to the decision support model;

matching said patient features to a corresponding physical condition of said plurality of physical conditions;

presenting a subscriber with said plurality of real-time treatment options including statistical success information of each option for treating the patient features, wherein upon selection by the subscriber of one of said plurality of real-time treatment options, the server further includes the steps of;

performing an outcome analysis for assessing a result of said selected treatment option; and

automatically updating the statistical success information of the treatment option using the result.

14. The method of claim 13, wherein the data comprises clinical data.

15. The method of claim 13, wherein the remote databases include a public remote database and an internal remote database.

16. The method of claim 13, wherein the local database comprises clinical data of a plurality of patients in a hospital.

17. The method of claim 13, wherein the plurality of physical conditions include physical states and diseases.

18. The method of claim 13, wherein the plurality of physical conditions comprise a group of diagnoses and physical conditions according to an ICD-9 coding system.

19. The method of claim 13, wherein the patient features are provided to the decision support model by a hospital monitoring system.

20. The method of claim 13, wherein if the patient features are not matched to a corresponding physical condition, further comprising the steps of:

providing the server with the patient features;

automatically updating the decision support model using the data to produce an updated decision support model, wherein the updated decision support model generates output comprising a plurality of real-time treatment options including statistical success information for treating the patient features;

presenting a subscriber with said plurality of real-time treatment options including statistical success information of each option for treating the patient features, wherein upon selection by the subscriber of one of said plurality of real-time treatment options, the server further includes the steps of;

performing an outcome analysis for assessing a result of said selected treatment option; and

automatically updating the statistical success information of the treatment option using the result.

21. The method of claim 13, wherein the subscriber is presented with said plurality of treatment options by one or more of computers, remote communication devices, and wireless devices.

22. The method of claim 13, wherein the subscriber is a physician.

23. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform the method steps for generating and providing treatment options and outcome analysis over a communication network, the method comprising the steps of:

filtering data from a plurality of remote databases and a local database;

compiling said data in a server;

providing the server with a plurality of physical conditions;

constructing a plurality of decision support models using the data, wherein each decision support model generates output comprising a plurality of real-time treatment options including statistical success information of each option for treating each of the plurality of physical conditions;

providing patient features to the decision support model;

matching said patient features to a corresponding physical condition of said plurality of physical conditions;

presenting a subscriber with said plurality of real-time treatment options including statistical success information of each option for treating the patient features, wherein upon selection by the subscriber of one of said plurality of real-time treatment options, the server further includes the step of;

performing an outcome analysis for assessing a result of said selected treatment option; and

automatically updating the statistical success information of the treatment option using the result.