System and method for automated multi-dimensional network management

1. A method for automated characterization-vector based prediction, the method comprising:

generating at a first time a characterization vector from n-dimension attributes of a first patient identified in a patient profile, the characterization vector characterizing a first patient state;

identifying a data insufficiency based on missing data in an electronic health records (EHR) database, wherein the data insufficiency prevents at least one of: complete determination of a current state of a first user; complete generation of a risk profile; or complete identification of a remediation;

provisioning a medical service corresponding to the missing data, the medical service selected to resolve the data insufficiency;

receiving from the provisioned medical service inputs indicating updates to at least one of the n-dimension attributes of the first patient;

determining a resolution of the data insufficiency based on the received inputs;

regenerating at a second time the characterization vector from the n-dimension attributes of the first patient with a first Artificial Intelligence (“AI”) machine-learning model, the regenerated characterization vector charcterizing a second patient state;

generating a discrepancy vector characterizing a difference between the regenerated characterization vector and the characterization vector;

determining an efficacy of the provisioned medical service based on the discrepancy vector; and

automatically identifying a second medical service for provisioning for a second patient based on the efficacy of the provisioned medical service to the first patient.

2. The method of claim 1 , wherein the medical service comprises a digital component and a non-digital component for provisioning to the first patient.

3. The method of claim 2 , further comprising automatically delivering the digital component of the medical service for provisioning.

4. The method of claim 3 , further comprising:

receiving a patient input from a patient device implemented with a processor and a medical provider input from a provider device implemented with a processor;

identifying a first portion of the patient input as a first variable and a second portion of the patient input as a second variable; and

generating and storing the patient profile in a user profile database, wherein the patient profile identifies n-dimension attributes of a first patient.

5. The method of claim 4 , wherein the digital component of the medical service for provisioning is automatically delivered subsequent to automated determination of fulfillment of at least one delivery criteria.

6. The method of claim 5 , wherein the determination of fulfillment of the at least one delivery criteria is made based on data contained in a data stream received from a messaging bus, wherein the data contained in the data stream corresponds to the second variable.

7. The method of claim 6 , further comprising:

upon determining resolution of the data insufficiency, identifying a second medical service comprising a second remediation to mitigate a likelihood of an adverse outcome; and

providing the second medical service to the first patient via the patient device.

8. The method of claim 7 , further comprising:

identifying a first remediation to mitigate the likelihood of an adverse medical outcome identified based on the first patient state of the first patient in the patient profile, wherein the remediation is identified from a multi-dimensional network comprising a plurality of nodes linked by a plurality of edges, at least some of the nodes corresponding to a user state, a user characteristic, and a remediation, and

wherein the data insufficiency prevents identification of the first remediation.

9. The method of claim 1 , wherein the first patient state comprises at least one of: a physical state; and a mental state.

10. An automated multi-dimensional network management system comprising:

a memory comprising: an electronic health records (EHR) database comprising a plurality of patient profiles; and a network database comprising a plurality of nodes linked by a plurality of edges, at least some of the nodes corresponding to a user state, and a user characteristic; and

at least one processor configured to:

generate at a first time a characterization vector from n-dimension attributes of a first patient identified in a patient profile, the characterization vector characterizing a first patient state;

identify a data insufficiency based on missing data in an electronic health records (EHR) database, wherein the data insufficiency prevents at least one of: complete determination of a current state of a first user; complete generation of a risk profile; or complete identification of a remediation;

provision a medical service corresponding to the missing data, the medical service selected to resolve the data insufficiency;

receive from the provisioned medical service inputs indicating updates to at least one of the n-dimension attributes of the first patient;

determine a resolution of the data insufficiency based on the received inputs;

regenerate at a second time the characterization vector from the n-dimension attributes of the first patient with a first Artificial Intelligence (“AI”) machine-learning model, the regenerated characterization vector charcterizing a second patient state;

generate a discrepancy vector characterizing a difference between the regenerated characterization vector and the characterization vector;

determine an efficacy of the provisioned medical service based on the discrepancy vector; and

automatically identify a second medical service for provisioning for a second patient based on the efficacy of the provisioned medical service to the first patient.

11. The system of claim 10 , wherein the medical service comprises a digital component and a non-digital component for provisioning to the first patient.

12. The system of claim 11 , wherein the at least one processor is further configured to automatically deliver the digital component of the medical service for provisioning.

13. The system of claim 12 , wherein the at least one processor is further configured to:

receive a patient input from a patient device implemented and a medical provider input from a provider device;

identify a first portion of the patient input as a first variable and a second portion of the patient input as a second variable; and

generate and store the patient profile in a user profile database, wherein the patient profile identifies n-dimension attributes of a first patient.

14. The system of claim 13 , wherein the digital component of the medical service for provisioning is automatically delivered subsequent to automated determination of fulfillment of at least one delivery criteria.

15. The system of claim 14 , wherein the determination of fulfillment of the at least one delivery criteria is made based on data contained in a data stream received from a messaging bus, wherein the data contained in the data stream corresponds to the second variable.

16. The system of claim 15 , wherein the processor is further configured to:

upon determining resolution of the data insufficiency, identify a second medical service comprising a second remediation to mitigate a likelihood of an adverse outcome; and

provide the second medical service to the first patient via the patient device.

17. The system of claim 16 , wherein the processor is further configured to:

identify a first remediation to mitigate a likelihood of an adverse medical outcome identified based on the first patient state of the first patient in the patient profile, wherein the remediation is identified from the network database, and

wherein the data insufficiency prevents identification of the first remediation.

18. The system of claim 17 , wherein the first patient state comprises at least one of: a physical state; and a mental state.