Patent ID: 6368272
Filing Date: 2002-04-09
Classification: A61B,G16H

Abstract:
A method to generate ongoing metabolic state predictions for improved decision support in metabolic control, comprising the following steps:(a) entering into an apparatus ongoing metabolite contemporaneous time-stamped inputs from a user-patient and from biomedical assay equipment according to an interactive, time-stamped mode; (b) allowing said user-patient to accept or reject the contemporaneous time-stamped inputs and storing the accepted inputs in appropriate memory areas of said apparatus; (c) selecting one or more biological analytes (metabolite output values) to be controlled proactively using metabolic state predictions; (d) assigning to each said metabolite contemporaneous time-stamped input an appropriate time function that describes its dynamic characteristics; (e) computing predicted values of each contemporaneous time-stamped input in an ongoing manner, starting from the time of the appropriate time stamp data; (f) assigning to each predicted value a time function/mathematical model, said time function/mathematical model being described by a time function/mathematical model comprising the general formula of: EG(t)=aNtNâˆ’1eâˆ’at/(Nâˆ’1)!wherein: EG(t) is an elementary food component glucose activity time function; t is an elapsed length of time measured from the time stamp of entered data; a is the flux rate of elementary food categories; and N is the number of compartments; (g) improving the accuracy and precision of said mathematical model by making it an individual-specific mathematical model, by inputting user-patient anthropometrical characteristics into the time function/mathematical model; (h) generating ongoing metabolic status predictions by combining all previous metabolite input predictions with the said individual-specific time function/mathematical model; (i) improving the accuracy of the said individual-specific mathematical model in a recursive manner, until the said ongoing metabolic status predictions are sufficiently close to the actual measured values, said improved individual-specific model being referred to as an optimized metabolic model; (j) contemporaneously computing usable ongoing metabolic status predictions from the optimized metabolic model and from the said input predictions in order to provide the patient with the necessary decision support information; (k) recording and revising individual-specific medication and metabolic control parameter limits, wherein a health practitioner sets boundaries on the type of actions the patient can take and the information is stored in the said apparatus; and (l) communicating to the patient the need for proactive corrective action, wherein any such need is determined by considering steps (k) and (j).