Systems and methods for managing autoimmune conditions, disorders and diseases

Inventors

Purushothaman, Mohan • Sorathia, Arif Latif

Assignees

Progentec Diagnostics Inc

Abstract

An artificial intelligence (AI) system and methods for management of an autoimmune or inflammatory condition, disorder or disease in a patient for the diagnosis, prognosis, or risk assessment of symptoms thereof. The AI system includes patient and provider applications and a payer application interface accessible via a communications network. The system contains a data-driven recommendation engine using machine learning and/or deep learning based on active monitoring of patients with an autoimmune or inflammatory-related condition, disorder, or disease. The system can alert clinicians to an impending symptom flare and provide a treatment solution that reduces symptom severity, reduces or eliminates the onset.

Core Innovation

The disclosure describes a computer-implemented method and system for evaluating or managing an autoimmune condition of a patient user using end user applications for a patient user and a provider user. The patient and provider applications include graphical user interfaces with interface elements and user prompts associated with evaluation or management of the autoimmune condition. Patient inputs are received via an input device of a mobile electronic device, physiological measurements are received from a wearable electronic device including one or more physiological sensors, and electronic medical record data is received via an application programming interface with at least one third-party server.

The method aggregates the patient-generated inputs, wearable physiological inputs, and electronic medical record data into an aggregated dataset. An artificial intelligence engine analyzes the aggregated dataset according to at least one machine learning framework comprising at least one supervised learning model or artificial neural network, where the framework includes at least one dependent variable corresponding to a current or future state of the autoimmune condition. The artificial intelligence engine generates an output comprising at least one diagnostic measure of the current or future state based on the analyzed aggregated dataset.

The processor generates at least one activity recommendation in response to the diagnostic measure, where the activity recommendation corresponds to at least one patient outcome associated with the current or future state. The output diagnostic measure and the activity recommendation are provided to the patient user and the provider user through communications with the application server, and the provider user can provide an input comprising a recommended pharmacological intervention that is communicated to the patient user. Dependent refinements include additional inputs such as laboratory test data and patient-reported outcomes, and additional recommendation inputs such as UV exposure data for a patient-associated geographical location including a UV index.

Claims Coverage

The coverage includes two independent claims with four main inventive features, centered on end-user application interfaces, multi-source data aggregation, AI analysis of autoimmune condition state, and communication of diagnostic measures, activity recommendations, and provider input back to the patient.

Across the independent claims, the coverage centers on patient and provider graphical user interfaces, aggregation of patient-generated inputs, wearable physiological measurements, and external data inputs including electronic medical record data, AI analysis using supervised learning or artificial neural networks, and generation and communication of diagnostic measures, activity recommendations, and provider input.

Stated Advantages

Documented Applications

No documented applications found