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

Claim 10:
11. A system, comprising:
a processing engine;
a communication module coupled to the processing engine, comprising an application programming interface configured to provide remote access to a user device over a network, wherein the user device is configured to receive patient generated information through the application programming interface; and,
a data store coupled to the processing engine and containing a program of instructions that, when executed by the processing engine, cause the processing engine to perform operations to generate an integrated health record associated with a patient in response to the patient's request, the operations comprising:
(a) receiving patient reported information directly from the patient via the communication module from the user device, the patient generated information comprising a plurality of unprompted real-time symptom reports from the patient stored in a first data format;
(a2) storing the received patient reported information in the data store;
(b) retrieving, by the processing engine, health records in a second data format associated with the patient from the data store;
(c1) retrieving, by the processing engine, the patient reported information from the data store, the patient reported information comprising symptoms reported by the patient, and family history records associated with the patient;
(c2) retrieving, by the processing engine, environmental information temporally corresponding to the patient generated information;
(d) analyzing, by the processing engine, the patient reported information and extracting predetermined data from the patient reported information; and,
(e) converting, by the processing engine, the health records, the temporally corresponding environmental information, and the extracted predetermined data into the 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;
(f) applying the machine learning engine to the integrated health record to generate at least one predicted health condition, a plurality of potential treatment plans and corresponding predicted outcomes as a function of the symptoms, at least one outcome associated with the symptoms, corresponding health conditions, corresponding treatment plans and corresponding outcomes associated with other patients' integrated health records, and the temporally corresponding environmental information;
(f1) associating the potential treatment plans, and the corresponding predicted outcomes with the patient;
(g) generating a result message to the user device, wherein the result message comprises the at least one predicted health condition and the symptoms, the at least one predicted outcome associated with the symptoms, the plurality of potential treatment plans, the corresponding predicted outcomes, and the temporally corresponding environmental information; and,
(h) generating, in response to receiving new patient reported information comprising at least one of: the new patient reported information, and new environmental information, repeat at least (d)-(g) such that a dynamically updated results message comprising an updated plurality of potential treatment plans and the corresponding predicted outcomes is generated based on the new patient reported information,

wherein the processing engine performs operations to train the machine learning engine to generate the at least one predicted future health condition of the patient, the operations further comprising:
retrieving, by the processing engine, a training set of data from the data store;
training the machine learning engine in response to the training set of data; and,
wherein the training set of data used to train the machine learning engine 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, treatment plans corresponding to the patient generated information, and outcomes corresponding to the treatment plans.