SYSTEM AND METHOD FOR PRIORITIZING RISK MODELS AND SUGGESTING SERVICES BASED ON A PATIENT PROFILE

• US 20140350967A1
• Filed: 12/21/2012
• Published: 11/27/2014
• Est. Priority Date: 07/15/2011
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Geleijnse, Gijs, Tesanovic, Aleksandra, Nikolova-Simons, Mariana, Geary, Kevin Michael
• Application Number:
  US14/368,412
• Publication Number:
  US 20140350967A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

The exemplary embodiments are related to systems and methods for prioritizing risk models and suggesting services tailored to a patient profile according to an exemplary embodiment described herein. One embodiment relates to a method comprising retrieving risk model and parameter data from a risk database, retrieving hospital profile data from a records database, determining a recommendation value for the model and parameter data based on the hospital profile data, determining at least one recommended service for a patient based on the recommendation value, and outputting the at least one recommended service to a user.

Claims

1. A method, comprising:

retrieving risk model and parameter data from a risk database;

retrieving hospital profile data from a records database;

determining a recommendation value for the model and parameter data based on the hospital profile data;

determining at least one recommended service for a patient based on the recommendation value; and

outputting the at least one recommended service to a user.

2. The method of claim 1, wherein determining a recommendation value includes computing a population match between the model and parameter data and the hospital profile data.

3. The method of claim 1, wherein determining a recommendation value includes computing a parameter match between the model and parameter data and the hospital profile data.

4. The method of claim 1, wherein determining a recommendation value includes filtering out model and parameter data based on one of predictor type information and predicting period information.

5. The method of claim 1, wherein determining at least one recommended service is further based on one of an assessed readmission risk and an assessed mortality risk.

6. The method of claim 1, wherein determining at least one recommended service is further based on a set of predefined rules describing a relationship between risks, services and patient data.

7. The method of claim 1, wherein determining at least one recommended service is based on at least one of:

rule matching between a patient profile and user selected rules; and

evidence-based matching between the patient profile and an identified set of a similar patients.

8. A system, comprising:

a data retrieval component for retrieving risk model and parameter data from a risk database and retrieving hospital profile data from a records database;

a processing component for determining a recommendation value for the model and parameter data based on the hospital profile data, and for determining at least one recommended service for a patient based on the recommendation value; and

a graphical user interface (“

GUI”

) for outputting the at least one recommended service to a user.

9. The system of claim 8, wherein determining a recommendation value includes computing a population match between the model and parameter data and the hospital profile data.

10. The system of claim 8, wherein determining a recommendation value includes computing a parameter match between the model and parameter data and the hospital profile data.

11. The system of claim 8, wherein determining a recommendation value includes filtering out model and parameter data based on one of predictor type information and predicting period information.

12. The system of claim 8, wherein determining at least one recommended service is further based on one of an assessed readmission risk and an assessed mortality risk.

13. The system of claim 8, wherein determining at least one recommended service is further based on a set of predefined rules describing a relationship between risks, services and patient data.

14. The system of claim 8, wherein determining at least one recommended service is based on at least one of:

rule matching between a patient profile and user selected rules; and

evidence-based matching between the patient profile and an identified set of a similar patients.

15. A non-transitory computer readable storage medium including a set of instructions that are executable by a processor, the set of instructions being operable at least to:

retrieve risk model and parameter data from a risk database;

retrieve hospital profile data from a records database;

determine a recommendation value for the model and parameter data based on the hospital profile data;

determine at least one recommended service for a patient based on the recommendation value; and

output the at least one recommended service to a user.

16. The non-transitory computer readable storage medium of claim 15, wherein determining a recommendation value includes computing a population match between the model and parameter data and the hospital profile data.

17. The non-transitory computer readable storage medium of claim 15, wherein determining a recommendation value includes computing a parameter match between the model and parameter data and the hospital profile data.

18. The non-transitory computer readable storage medium of claim 15, wherein determining a recommendation value includes filtering out model and parameter data based on one of predictor type information and predicting period information.

19. The non-transitory computer readable storage medium of claim 15, wherein determining at least one recommended service is further based on one of an assessed readmission risk and an assessed mortality risk.

20. The non-transitory computer readable storage medium of claim 15, wherein determining at least one recommended service is further based on a set of predefined rules describing a relationship between risks, services and patient data.