SYSTEM AND METHOD FOR PREDICTIVE RISK ASSESSMENT AND INTERVENTION

• US 20200135340A1
• Filed: 10/30/2019
• Published: 04/30/2020
• Est. Priority Date: 10/30/2018
• Status: Abandoned Application

• Current Assignee: Morgan State University
• Original Assignee: Morgan State University
• Inventors: Edwards, Lorece, Brown, Lawrence, Dennis, Sabriya, Lindong, Ian
• Application Number:
  US16/668,860
• Publication Number:
  US 20200135340A1
• Time in Patent Office: Days
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Disclosed is a system and method for predictive risk assessment and intervention including a risk assessment unit that receives survey data from a remotely connected survey device. The survey data comprises information about the social and cultural environment of one or more members of a risk population, including the member'"'"'s perceptions of their social and environmental factors, the member'"'"'s demographic data, and optionally publicly available data associated with the member'"'"'s geographic environment. A predictive risk assessment unit analyzes perceived risk hierarchy inventories to generate a risk portfolio for each surveyed member of the population, which risk portfolio may include a risk predictive quotient profile for each such member assigning a numeric value indicating a likelihood of that member engaging in certain negative activities, a recommendation of interventions that are determined to reduce the likelihood of such member engaging in those negative activities, and preferably a record of success and/or failure of various interventions in reducing that risk. Intervention partners then administer the interventions to the surveyed members, record the success or failure of such intervention in preventing the identified dangerous behavior, and transmit an intervention effectiveness report to the predictive risk assessment unit. The predictive risk assessment unit may then modify and recalibrate the survey instrument and the associated recommended intervention products and tools to maximize the successes of interventions.

Claims

1. A computer method for predictive risk assessment and intervention, comprising the steps of:

providing a predictive risk assessment unit having a processor and a memory;

providing a survey device in data communication with said predictive risk assessment unit;

receiving at said predictive risk assessment unit from said survey device a digital perceived risk hierarchy inventory associated with a human risk population member;

analyzing at said processor of said predictive risk assessment unit said digital perceived risk hierarchy inventory to identify one or more intervention products that are calculated to mitigate one or more negative or harmful behaviors associated with said perceived risk hierarchy inventory; and

storing in said memory an individual risk portfolio associated with said human risk population member, said individual risk portfolio including said one or more intervention products.

2. The computer method of claim 1, wherein said digital perceived risk hierarchy inventory further comprises data indicative of one or more perceptions of social and cultural environmental factors held by said human risk population member, and demographic data associated with said human risk population member.

3. The computer method of claim 2, further comprising the step of establishing at said processor of said predictive risk assessment unit a risk predictive quotient matrix assigning a numeric risk prediction quotient to each of one or more risk segments in said risk predictive quotient matrix.

4. The computer method of claim 3, wherein said risk predictive quotient matrix further comprises a statistical weight assigned by said processor of said predictive risk assessment unit to each said numeric risk prediction quotient for each said risk segment in said risk predictive quotient matrix.

5. The computer method of claim 4, wherein identifying one or more intervention products that are calculated to mitigate one or more negative or harmful behaviors associated with said perceived risk hierarchy inventory further comprises identifying one or more intervention products that are calculated to mitigate behaviors included in said risk segments of said risk predictive quotient matrix that have a numeric value that is higher than a predetermined value.

6. The computer method of claim 1, further comprising transmitting said individual risk portfolio to an intervention partner computer.

7. The computer method of claim 6, further comprising receiving at said predictive risk assessment unit from said intervention partner computer a numeric assessment of success in applying said one or more intervention products in said individual risk portfolio.

8. The computer method of claim 7, further comprising the step of in response to receiving said numeric assessment of success in applying said one or more intervention products in said individual risk portfolio, recalibrating at said predictive risk assessment unit statistical values applied by said predictive risk assessment unit when analyzing said digital perceived risk hierarchy inventory.

9. A computer system for predictive assessment and intervention, comprising:

a predictive risk assessment unit having a processor and a memory; and

a survey device in data communication with said predictive risk assessment unit;

wherein said processor of said predictive risk assessment unit includes computer instructions configured to;

receive from said survey device a digital perceived risk hierarchy inventory associated with a human risk population member;

analyze said digital perceived risk hierarchy inventory to identify one or more intervention products that are calculated to mitigate one or more negative or harmful behaviors associated with said perceived risk hierarchy inventory; and

store in said memory an individual risk portfolio associated with said human risk population member, said individual risk portfolio including said one or more intervention products.

10. The computer system of claim 9, wherein said digital perceived risk hierarchy inventory further comprises data indicative of one or more perceptions of social and cultural environmental factors held by said human risk population member, and demographic data associated with said human risk population member.

11. The computer method of claim 10, wherein said computer instructions are further configured to establish a risk predictive quotient matrix assigning a numeric risk prediction quotient to each of one or more risk segments in said risk predictive quotient matrix.

12. The computer method of claim 11, wherein said risk predictive quotient matrix further comprises a statistical weight assigned by said processor of said predictive risk assessment unit to each said numeric risk prediction quotient for each said risk segment in said risk predictive quotient matrix.

13. The computer method of claim 12, wherein identifying one or more intervention products that are calculated to mitigate one or more negative or harmful behaviors associated with said perceived risk hierarchy inventory further comprises identifying one or more intervention products that are calculated to mitigate behaviors included in said risk segments of said risk predictive quotient matrix that have a numeric value that is higher than a predetermined value.

14. The computer method of claim 9, wherein said computer instructions are further configured to transmit said individual risk portfolio to an intervention partner computer.

15. The computer method of claim 14, wherein said computer instructions are further configured to receive from said intervention partner computer a numeric assessment of success in applying said one or more intervention products in said individual risk portfolio.

16. The computer method of claim 15, wherein said computer instructions are further configured to, in response to receiving said numeric assessment of success in applying said one or more intervention products in said individual risk portfolio, recalibrate at said predictive risk assessment unit statistical values applied by said predictive risk assessment unit when analyzing said digital perceived risk hierarchy inventory.