Systems and methods for disease control and management

Inventors

Sysko, Ryan A. • Sysko, Suzanne K. • Minor, James M. • Iyer, Anand • Fletcher, Andrew

Assignees

WellDoc Inc

Abstract

Methods, computer-readable media, and systems for providing disease management. In one implementation, a system develops a treatment recommendation for a patient based on patient data. The system may receive patient data, execute a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data, perform a statistical analysis of the patient data to detect data excursions of the parameter values; use the modified model to determine factors causing the data excursions; and use the model to develop a treatment recommendation to ameliorate negative effects of the disease.

Core Innovation

The described invention relates to a disease-management system that receives patient data and generates patient-specific treatment recommendations to ameliorate negative effects of disease. The system includes an input device for receiving patient data, a transmitter for transmitting the received patient data, and a disease management server with a receiver and processor, and an output device for outputting the treatment recommendation(s). The processor executes a basic model of a physiological system of the patient to generate a modified model for the patient based on the patient data.

In the basic model, determining a rate of change in blood glucose level over a time interval is based on food intake, insulin concentration in blood, and blood glucose inventory. The processor also performs a statistical analysis of the patient data to detect data excursions of values of first parameters of the physiological system. Using the modified model, the processor estimates an effect of the data excursions on second parameters of the physiological system.

The processor uses the modified model to determine factors causing the data excursions and develops a treatment recommendation or a plurality of treatment recommendations to ameliorate negative effects of the disease. The system supports generating recommendations tied to patient data and physiological modeling, and it incorporates auxiliary patient data and statistical-analysis approaches, including statistical design of experiments methodology, to identify factors causing excursions.

Claims Coverage

The partial content provides three independent claim types: a system, a nontransitory computer-readable storage medium, and a computer-implemented method. Across these, the independent claims share about five inventive features: generating a modified model from a basic model, detecting data excursions via statistical analysis, estimating excursion effects, determining factors causing excursions, and developing and outputting treatment recommendations.

The independent claims are centered on executing a basic physiological model to generate a modified patient model with blood glucose rate-of-change based on food intake, insulin concentration in blood, and blood glucose inventory, performing statistical analysis to detect data excursions, using the modified model to estimate effects on second parameters and to determine factors causing the excursions, and developing treatment recommendation(s) to ameliorate negative disease effects.

Stated Advantages

Documented Applications