Computer-assisted method for analyzing consumptions

• US 20040267098A1
• Filed: 05/13/2002
• Published: 12/30/2004
• Est. Priority Date: 01/02/1996
• Status: Abandoned Application

• Current Assignee: Steven Jerome Moore
• Original Assignee: Steven Jerome Moore
• Inventors: Moore, Steven Jerome
• Application Number:
  US10/144,501
• Publication Number:
  US 20040267098A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A47G 19/2227 with means for amusing or giving information to the user A47G23/16 takes precedence
• CPC Class Codes: A47G 2019/225 vessels with thermometers
• CPC Class Codes: G09F 19/02 incorporating moving display members
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: Y10S 128/921 Diet management

Abstract

A computer-assisted system and method for adjudging the effect of consumable intakes on physiological parameters is disclosed wherein a consumer records in a database a plurality of consumable identifiers identifiying consumables consumed, the amounts of each consumable consumed, times of consumption of each consumable, a plurality of physiological measurements and time of physiological measurements, and such information is computationally related to consumption information, such as nutritional information, linked to the consumable identifier in another database.

Claims

1. A computer-assisted method for analyzing the consumption habits of a consumer comprising:

electronically coupling consumption information with respect to a consumable with a consumable identifier;

retrieving said consumption information upon input of said consumable identifier;

computationally-relating said consumption information from one consumable with said consumption information from a plurality of other consumables.

2. The method of claim 1 wherein the consumable is a foodstuff.

3. The method of claim 1 wherein the consumable is a drug.

4. The method of claim 1 wherein the consumable is a pre-packaged good.

5. The method of claim 1 wherein the consumption information is nutritional information.

6. The method of claim 1 wherein the consumption information is ingredient and ingredient concentration information.

14. The method of claim 2 wherein the consumable is a pre-packaged good.

7. A computer-assisted system for analyzing the consumption habits of a consumer comprising:

a first database means for storing consumable identifiers correlated with consumption information with respect thereto;

a second database means for storing consumable identifiers correlated with the amount of each consumable consumed by a consumer, and the time of consumption of each consumable;

a data processing means for receiving information from said first and second database means and correlating said consumption information stored in said first database means with the information stored in said second database means.

8. The computer-assisted system of claim 7 wherein said second database means further stores measurements of physiological parameters correlated with the time of measurement.

9. The computer-assisted system of claim 8 wherein said data processing system is further programmed to computationally manipulate said measurements of physiological parameters with said consumable information.

10. The computer-assisted system of claim 9 wherein said physiological parameters includes blood glucose levels.

11. The computer-assisted system of claim 9 wherein said physiological parameters includes body weight.

12. The method of claim 7 wherein the consumable is a foodstuff.

13. The method of claim 7 wherein the consumable is a drug.

15. A method for providing a consumer of foodstuffs with means for adjudging nutritional status comprising:

marking foodstuffs with foodstuff identifiers;

correlating said foodstuff identifiers with the nutritional content of said foodstuff by data processing means;

storing said foodstuff identifiers coupled with the nutritional content of said foodstuff in a first data storage unit;

inputting said foodstuff identifiers into a second data storage unit upon consumption of said foodstuffs and electronically correlating the same with the amount of foodstuff consumed and the time of consumption;

transmitting the information stored in said second data storage unit to a central processing unit electronically coupled to said first data storage unit;

computationally co-processing nutritional information stored in said first data storage unit with said amount of each foodstuff consumed by a consumer and said time of consumption information stored in said second data storage unit;

providing a read-out of nutritional status based on said computational co-processing.

16. The method of claim 15 wherein said second database means further stores measurements of physiological parameters correlated with the time of measurement.

17. The method of claim 16 further comprising a means for computationally co-processing physiological parameter measurements stored in said second database means in correlation with the time of measurement of said physiological parameter with said nutritional information.

18. The method of claim 16 wherein said physiological parameter is weight.

19. The method of claim 16 wherein said physiological parameter is blood glucose concentration.