Patent ID: 11961617
Assignee: nan
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 14:
15. A method, comprising:
(a1) providing remote access to a user device over a network, wherein the user device is configured to receive patient generated information of a patient through an application programming interface;
(a2) storing the received patient generated information in a first data store;
(a3) retrieving, by a processing engine from a second data store, health records in a first data format associated with the patient;
(b1) retrieving, by the processing engine, the patient generated information provided directly from the patient, wherein the patient generated information comprises a plurality of unprompted real-time symptom reports from the patient stored in a second data format;
(b2) retrieving, by the processing engine, environmental information temporally corresponding to the patient generated information, and family history records associated with the patient;
(c) analyzing, by the processing engine, the patient generated information and extracting predetermined data from the provided patient generated information, wherein the extracted predetermined data comprises symptoms identified by the patient in the plurality of unprompted real-time symptom reports;
(d) converting, by the processing engine, the health records, the temporally corresponding environmental information, the family history records, and the extracted predetermined data into an integrated health record associated with the patient, wherein the integrated health record comprises an input in a third data format suitable for a machine learning engine;
(e) applying the machine learning engine to the integrated health record to generate a predictive result comprising:
at least one predicted health condition,
a plurality of potential treatment plans and corresponding predicted outcomes, and,
an association between the plurality of potential treatment plans and the corresponding predicted outcomes with the patient, wherein:

the predictive result is generated as a function of the symptoms, corresponding health conditions, corresponding treatment plans and corresponding outcomes associated with other patients' integrated health records, at least one predicted outcome associated with the symptoms, potential treatment plans corresponding to the at least one predicted outcome, and the temporally corresponding environmental information, wherein the machine learning engine is trained on a set of data comprising a set of patient-generated data, wherein the set of patient generated data comprises a plurality of patients' health records, associated information provided by the plurality of patients, health conditions of the plurality of patients, patient reported information from the plurality of patients, historical treatment plans corresponding to the plurality of patients, and historical outcomes corresponding to the historical treatment plans;
(f) in response to the generated predictive result,
(f1) storing the predictive result in a third data store, and,
(f2) automatically generating a result message based on the predictive result and the integrated health records, wherein the result message comprising the at least one predicted health condition and the symptoms, the at least one predicted outcome, the plurality of potential treatment plans, the corresponding predicted outcomes, and the temporally corresponding environmental information; and,

(g) in response to receiving new patient information comprising at least one of: new patient generated information, and new environmental information, repeating at least (c)-(f) such that a dynamically updated result message comprising an updated plurality of potential treatment plans and corresponding predicted outcomes is generated based on the new patient information.