Diabetes data analysis and interpretation method

Details Diabetes data analysis and interpretation method Diabetes data analysis and interpretation method

1990-10-29

1993-10-05

Envall, Jr., Roy N.

Boots, shoes, and leggings

G06F 1542, G06F 1574

Patent

active

052511260

ABSTRACT:
An automated diabetes data interpretation method is provided which combines symbolic and numeric computing approaches in order to identify and highlight key clinical findings in the patient's self-recorded diabetes data. The patient data, including blood glucose levels and insulin dosage levels, recorded by a diabetic patient over a period of time by means of a glucose meter or the like, is initially downloaded into a central processing system such as a personal computer. The accepted diabetes data is subsequently processed to (a) identify insulin dosage regimens corresponding to predefined significant changes in insulin dosage which are found to be sustained for at least a predefined segment of the overall data collection period, (b) identify statistically significant changes in blood glucose levels resulting across adjacent ones of the identified insulin regimen periods, and (c) identify clinically significant changes in blood glucose levels from within the identified statistically significant glucose level changes. The results of the diabetes data processing are generated in the form of a comprehensive yet easily understandable data interpretation report highlighting the processing results, including details pertaining to the identified insulin regimens and the associated clinically significant changes in glucose levels.

REFERENCES:
patent: 4315309 (1982-02-01), Coli
patent: 4712562 (1987-12-01), Ohayon et al.
patent: 4731726 (1988-03-01), Allen, III
patent: 4822337 (1989-04-01), Newhouse et al.
"A Simplified Approach to Blood Glucose Management", Brochure No. 0441051, Miles Inc., Diagnostics Division, Elkhart, Ind. (1988), 38 pages.
Dorland's Illustrated Medical Dictionary, 27th Ed., Harcourt Brace Johanovich, Inc., Philadelphia, Pa. (1988) pp. 345, 1578.
Bulmer, Principles of Statistics, Dover Publications, Inc., New York, 1979, pp. 139-164.
Berger et al., "Combining Statistical Rule-Based, and Physiologic Model-Based Method to Assist in the Management of Diabetes Mellitus," Computers and Biomedical Research, vol. 23 (1990), pp. 346-357.
Pernick et al., "Personal Computer Programs to Assist with Self-Monitoring of Blood Glucose and Self-Adjustment of Insulin Dosage," Diabetes Care, vol. 9, No. 1, (Jan.-Feb. 1986).
Barr et al., Eds., The Handbook of Artificial Intelligence, vol. 2, William Kaufmann, Inc., Los Altos, Calif. (1982), pp. 175-222.
"New Glucometer.RTM. M Diabetes Management System helps you achieve tighter control," Brochure No. 441021, Miles Inc., Diagnostic Division, Elkhart, Ind. 44102 (1987), 8 pages.
"Glucometer.RTM. M Blood Glucose Meter," Brochure No. 0441023, Miles Inc., Diagnostic Division, Elkhart, Ind. 46515 (1987), 2 pages.
"Glucofacts.TM. Data Management System," Brochure No. 0441024, Miles Inc., Diagnostic Division, Elkhart, Ind. 46515 (1987), 2 pages.
"Glucofacts.TM. Data Printer," Brochure No. 0441025, Miles Inc., Diagnostics Division, Elkhart, Ind. 46515 (1987), 2 pages.
"Glucofacts.TM. Data-Links," Brochure No. 0441059, Miles Inc., Diagnostics Division, Elkhart, Ind. (1989), 2 pages.
"New Glucometer.RTM. M Blood Glucose Meter," Brochure No. 0441041, Miles Laboratories, Inc., Elkhart, Ind. (1987), 2 pages.
"Glucometer.RTM. M Diabetes Management System," Symposium Abstracts, Jun. 26-28, 1987, Omni Ambassador East, Chicago, Ill., 8 pages.
"Glucometer.RTM. M Diabetes Management System," Symposium Abstracts, Jan. 28, 1987, Hyatt Regency Grand Cypress, Orlando, Fla., 12 pages.

Affiliated with

Also associated with

Rating

Diabetes data analysis and interpretation method does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Diabetes data analysis and interpretation method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Diabetes data analysis and interpretation method will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1009670