SYSTEM AND METHOD FOR PROVIDING STAKEHOLDER SERVICES

• US 20130138456A1
• Filed: 11/21/2012
• Published: 05/30/2013
• Est. Priority Date: 11/24/2011
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Bhaskar, Tarun, Subramanian, Gopi, Thangaprabhu, Arokiaswamy
• Application Number:
  US13/683,709
• Publication Number:
  US 20130138456A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 10/65 stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A system and method for providing stakeholder services is provided. The system, comprises a data repository, comprising historical health records and socio-economic condition records of a plurality of patients, and a plurality of processing subsystems that are operationally coupled to the storage device, wherein the plurality of processing subsystems comprise two or more service modules that are configured to provide selective stakeholder services to one or more of a plurality of stakeholders based upon a plurality of parameters.

Claims

1. A system, comprising:

a data repository comprising historical health records and socio-economic condition records of a plurality of patients; and

a plurality of processing subsystems that are operationally coupled to the storage device, wherein the plurality of processing subsystems comprise two or more service modules that are configured to provide selective stakeholder services to one or more of a plurality of stakeholders based upon a plurality of parameters.

2. The system of claim 1, wherein the plurality of processing subsystems provide the selective stakeholder services by analyzing the historical health records and socio-economic condition records of the plurality of patients.

3. The system of claim 1, wherein the plurality of processing subsystems have a cloud computing architecture.

4. The system of claim 1, wherein the plurality of parameters comprise registration of a stakeholder with the plurality of processing subsystems, category of a stakeholder, rights and privileges of a stakeholder granted by the plurality of processing subsystems, or combinations thereof.

5. The system of claim 1, wherein the service modules comprise a healthcare service provider module, a patient service module, a government service module, a deidentification module, or combinations thereof.

6. The system of claim 5, wherein the deidentification module is configured to generate intermediate historical health records and socio-economic condition records by erasing identification details of the plurality of patients from the historical health records and socioeconomic records.

7. The system of claim 6, wherein the healthcare service provider module is configured to analyze the intermediate historical health records and socio-economic condition records to generate statistical and analytical healthcare results.

8. The system of claim 7, wherein the statistical and analytical healthcare results comprise statistics and analysis of previous treatment methods for predefined health symptoms, respectively, success statistics of each of the treatment methods, or combinations thereof.

9. The system of claim 5, wherein the healthcare service provider module is further configured to:

retrieve historical health records and socio-economic condition records corresponding to a patient from the historical health records and socio-economic condition records; and

transmit the historical health records and socio-economic condition records to a user end.

10. The system of claim 9, wherein the user end comprises a mobile device of a patient, a healthcare service provider'"'"'s processing device, an e-mail identification of the patient, or combinations thereof.

11. The system of claim 5, wherein the patient service module is configured to:

extract historical health records and socio-economic condition records corresponding to a patient in the plurality of patients from the historical health records and socio-economic condition records of the plurality of patients;

analyze the extracted historical health records and socio-economic condition records corresponding to the patient in the plurality of patients to generate life management guidelines; and

transmit the life management guidelines to one of a mobile device or an e-mail account of the patient.

12. The system of claim 5, wherein the patient service module is further configured to retrieve and transmit historical health records and socio-economic condition records corresponding to a patient, transmit details of available healthcare services in a predefined region, details of available healthcare service providers in a predefined region, or combinations thereof.

13. The system of claim 6, wherein the government service module is configured to:

receive the intermediate historical health records and socio-economic condition records from the deidentification module; and

analyze the intermediate historical health records and socio-economic condition records to generate statistical and analytical results on disease progression in predefined areas, predefined age group, gender, or combinations thereof.

14. The system of claim 6, wherein the government service module is further configured to predict a potential number of patients or a disease in a defined region.

15. A method of generating statistical and analytical results, comprising:

entering symptoms of a disease in a plurality of processing subsystems by a healthcare service provider module;

extracting a subset of historical health records and socio-economic condition records from historical health records and socio-economic condition records of a plurality of patients;

extracting treatment methods and effects of the treatment methods from the subset of the historical health records and socio-economic condition records; and

generating the statistical and analytical results by analyzing the extracted treatment methods and effects of the treatment methods.

16. A method of predicting future trends of disease, comprising:

selecting a disease of interest by a government service module in a plurality of processing subsystems;

generating extracted records by extracting historical health records and socio economic condition records of patients who satisfy a predetermined condition in historical health records and socio-economic condition records corresponding to a plurality of patients;

developing a predictive model based upon the disease of interest utilizing a predictive modeling method;

determining a risk score corresponding to each patient in the extracted records by solving the predictive model; and

generating an aggregated risk score by aggregating the risk score corresponding to each patient in the extracted risk scores.

17. The method of claim 16, wherein the predetermined condition includes patients residing in a predetermined region, patients who belong to a predetermined age group, patients who belong to a predetermined gender, or combinations thereof.

18. The method of claim 16, wherein the predictive modeling method comprises genetic methods, neural networks, logistic regression methods, or Bayesian belief method.