System for optimizing guide values

Abstract

A system for optimizing guide values, particularly in the field of infant feeding with mother's milk and/or in the field of medical drainage, which includes at least one first data set which has at least one first data group assigned to a first target group. The system also has a second data set, with at least one second data group assigned to a second target group. First data of the first target group are stored in the at least one first data group and second data of the second target group are stored in the at least one second data group. A data processing unit is used for processing the first and second data and for output of the guide values to the second target group. The data processing unit is formed in order to receive new data generated on the basis of the output of the guide values to the second target group and on the basis of the use of these guide values in the second target group and in order to convert the first data set on the basis of these new data for the purpose of optimizing future guide values.

Claims

1. A system for optimizing future guide values, comprising: at least one first data set which comprises at least one first data group assigned to a first target group, at least one second data set, which comprises at least one second data group assigned to a second target group, wherein first data of the first target group are stored in the at least one first data group and second data of the second target group are stored in the at least one second data group, and a data processing unit for processing the first and second data and for output of existing guide values to the second target group, wherein the data processing unit is formed in order to receive new data generated on the basis of the output of the guide values to the second target group and on the basis of the use of these guide values in the second target group and in order to convert the first data set on the basis of these new data for the purpose of optimizing future guide values, wherein the system creates guide values in the field of infant feeding with human mother's milk, the target groups being at least one of the following groups: breastfeeding mothers, non-breastfeeding mothers, mothers with naturally born babies, mothers with Caesarean section, mothers with full-term births, mothers with induced births, mothers with premature births, mothers with single child birth, mothers with twins, mothers older than 40 years, mothers younger than 20 years, mothers between 20 and 40 years, fathers, family, premature births, normal births, infants with normal weight, overweight infants, underweight infants, infants with a specific deficiency, infants of a corresponding age, infants with special nutritional requirements.

2. The system according to claim 1, wherein there are at least two first data groups and/or at least two second data groups, each data group being assigned to another target group.

3. The system according to claim 1, wherein there are at least two first data groups, and wherein the data processing unit is formed in order to convert one, several or all or a selectable number of the first data groups with the same new data.

4. The system according to claim 1, wherein the data processing unit is formed in order to output second guide values to the first target group, and wherein the data processing unit is formed in order to receive second new data generated on the basis of the output of the guide values to the first target group and on the basis of the use of these guide values in the first target group, the data processing unit furthermore being formed in order to convert the second data set on the basis of these second new data for the purpose of optimizing future second guide values.

5. The system according to claim 4, wherein the system is formed in order to form further data groups for further target groups in accordance with the new data and in accordance with the second new data.

6. The system according to claim 1, wherein the system is formed in order to form further data groups for further target groups in accordance with the new data.

7. The system according to claim 1, wherein the new data is weighted in the conversion of the first data set.

8. The system according to claim 7, wherein the second new data is weighted during the conversion of the second data set.

9. The system according to claim 1, wherein the first target group and the second target group are identical, or wherein one of these two target groups is a subset of the other of these two target groups.

10. The system according to claim 1, wherein the guide values are at least one of the following: treatment recommendations, material recommendations, product recommendations, dosing recommendations, control instructions for a device, regulating instructions for a device, a program for operating a device, application software.

11. The system according to claim 1, wherein the system is integrated in a device, and this device is operated automatically in accordance with the system.

12. The system according to claim 1, wherein the system is in selective communicating connection with a device, the device being operatable automatically in accordance with the system.

13. The system according to claim 1, wherein the system is part of a breast pump, is in selective communicating connection with a breast pump, and/or creates guide values for the operation of a breast pump.

14. The system according to claim 1, wherein the guide values comprise at least one of the following elements: control data for a breast pump for pumping milk as painlessly as possible, control data for a breast pump for efficient pumping of mother's milk, control data for a breast pump for increasing the amount of milk, control data for a breast pump for reducing the amount of milk, recommendation of a breast pump type, recommendation of a nipple shield type, recommendation of times of day for pumping mother's milk, recommendation of a maximum duration of the pumping of mother's milk during a pumping session, recommendation of a teat type for a feeding bottle, recommendation for enrichment and/or for preparation of pumped mother's milk, recommendation for food supplement, time scheme for giving food to the infant.

15. The system according to claim 1, wherein the at least one first data set, the at least one second data set and the first target group and the second target group are of the field of infant feeding with mother's milk.

16. A system for optimizing future guide values, comprising: at least one first data set which comprises at least one first data group assigned to a first target group, at least one second data set, which comprises at least one second data group assigned to a second target group, wherein first data of the first target group are stored in the at least one first data group and second data of the second target group are stored in the at least one second data group, and a data processing unit for processing the first and second data and for output of existing guide values to the second target group, wherein the data processing unit is formed in order to receive new data generated on the basis of the output of the guide values to the second target group and on the basis of the use of these guide values in the second target group and in order to convert the first data set on the basis of these new data for the purpose of optimizing future guide values, wherein the guide values comprise at least one of the following elements: control data for a breast pump for pumping milk as painlessly as possible, control data for a breast pump for efficient pumping of mother's milk, control data for a breast pump for increasing the amount of milk, control data for a breast pump for reducing the amount of milk, recommendation of a breast pump type, recommendation of a nipple shield type, recommendation of times of day for pumping mother's milk, recommendation of a maximum duration of the pumping of mother's milk during a pumping session, recommendation of a teat type for a feeding bottle, recommendation for enrichment and/or for preparation of pumped mother's milk, recommendation for food supplement, time scheme for giving food to the infant.

17. The system according to claim 16, wherein there are at least two first data groups and/or at least two second data groups, each data group being assigned to another target group.

18. The system according claim 16, wherein there are at least two first data groups, and wherein the data processing unit is formed in order to convert one, several or all or a selectable number of the first data groups with the same new data.

19. The system according to claim 16, wherein the data processing unit is formed in order to output second guide values to the first target group, and wherein the data processing unit is formed in order to receive second new data generated on the basis of the output of the guide values to the first target group and on the basis of the use of these guide values in the first target group, the data processing unit furthermore being formed in order to convert the second data set on the basis of these second new data for the purpose of optimizing future second guide values.

20. The system according to claim 19, wherein the system is formed in order to form further data groups for further target groups in accordance with the new data and in accordance with the second new data.

21. The system according to claim 16, wherein the system is formed in order to form further data groups for further target groups in accordance with the new data.

22. The system according to claim 16, wherein the new data is weighted in the conversion of the first data set.

23. The system according to claim 22, wherein the second new data is weighted during the conversion of the second data set.

24. The system according to claim 16, wherein the first target group and the second target group are identical, or wherein one of these two target groups is a subset of the other of these two target groups.

25. The system according to claim 16, wherein the guide values are at least one of the following: treatment recommendations, material recommendations, product recommendations, dosing recommendations, control instructions for a device, regulating instructions for a device, a program for operating a device, application software.

26. The system according to claim 16, wherein the system is integrated in a device, and this device can be is operated automatically in accordance with the system.

27. The system according to claim 16, wherein the system is in selective communicating connection with a device, the device being operatable automatically in accordance with the system.

28. The system according to claim 16, wherein the system is part of a breast pump, is in selective communicating connection with a breast pump, and/or creates guide values for the operation of a breast pump.

29. The system according to claim 16, wherein the at least one first data set, the at least one second data set and the first target group and the second target group are of the field of infant feeding with mother's milk.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) Preferred embodiments of the invention will be described below with the aid of the appended drawing, which is used merely for explanation and is not to be interpreted restrictively. The single figure shows a schematic representation of the system according to the invention.

DESCRIPTION OF PREFERRED EMBODIMENTS

(2) The single figure represents a greatly simplified representation of the system according to the invention. The system is shown as a rectangle with dashed lines.

(3) The reference numeral 1 denotes a first data set, the reference numeral 2 denotes a second data set. There may also be further such data sets present.

(4) Each data set 1, 2 comprises at least one, preferably two or more data groups 10, 20. Each data group is assigned to an external target group A, B.

(5) The at least two data sets 1, 2 are connected to a data processing unit 3. In the data processing unit, guide values 30 are generated, or they are stored therein. The arrows 40, 50 respectively show a data transfer from the first and second data sets 1, 2 into the data processing unit 3. The arrows 60, 70 respectively show a first and a second guide value output to a first and second target group A, B, more precisely to an individual who fits into this target group. The arrows 61, 71 respectively show a first and a second transfer of new data which are returned from the target group A, B, more precisely from the corresponding individual, into the system, that is to say into the data processing unit 3. The arrows 41, 51 respectively show a first and a second conversion of the first and second data sets 1, 2 in accordance with the data processing unit 3 on the basis of the new data received.

(6) Depending on the embodiment, the newly generated data may be read automatically into the data processing unit, for example by a sensor of a breast pump or drainage pump being used communicating a measurement value directly to the data processing unit, or by operating parameters of a drainage or breast pump being read directly into the system. Depending on the embodiment, the newly generated data may also be entered manually into the system, and thereby introduced into the data processing unit for further processing.

(7) Some specific examples of use will be given below. The system according to the invention may consist of one, several or all of these examples in a single embodiment. The system may also comprise further examples, or consist entirely of other examples in the context of the invention described above.

EXAMPLE 1

(8) The first data set comprises at least two first data groups, each first data group belonging to precisely one of the following target groups: mothers with full-term birth, mothers with premature birth. The data of the first data groups are: time until MER (from the first pumping movement to the milk flow); number of MER over a time profile; amount of milk per MER; vacuum strength in MER; duration of the individual MER. In this text, MER means milk ejection reflex.

(9) The second data set comprises at least three second data groups, each second data group belonging to precisely one of the following target groups: underweight baby, baby with normal weight, overweight baby. The data of the first data groups are: milk consumption of the baby; age of the baby; weight of the baby; increase or decrease in weight since the last feed; data for the feeding method: via tube, via teat, via breast; drinking duration; ratio of amount of milk to drinking duration.

(10) In a first data processing operation, the mothers in the two first data groups are assigned milk ejection reflex patterns (MER patterns). The babies are categorized in the second data groups. They are assigned a drinking bottle with a milk ejection reflex (MER) pattern as a function of their mothers. The guide values for the babies are therefore the MER drinking bottle types. The feedback to the system is experience gained when giving the milk with these selected drinking bottles.

EXAMPLE 2

(11) The first data set comprises a first data group of a first target group: donors of mother's milk. The first data group comprises information about the composition of the milk and about the individual donors.

(12) The second data set comprises a second data group of a second target group: babies with special nutritional requirements. The second data group contains information about these requirements and the necessary food compositions.

(13) In a first data processing operation, the babies are categorized by assigning them a modified mother's milk which corresponds precisely to their requirements. The mothers use a breast pump whose operating parameter is adapted to the baby's requirements, so that mother's milk can be provided in a sufficient quantity with the required ingredients so as subsequently to synthesize the milk and enrich it with corresponding additives. The guide values are therefore the operating parameters for the breast pump and the information about the required composition of the milk. The feedback to the system is information about the amount of milk and milk composition actually obtained during the pumping.

(14) In a second or alternative data processing operation, the milk mixture which is optimal for a specific baby is determined from the pool of donor milk. These indications are output as guide values so that his food can also actually be mixed and administered to him. Information about the development of the baby, or about any complications such as stomach cramps or rashes, is reported back to the system as new data.

EXAMPLE 3

(15) The first data set comprises two first data groups, each being assigned to a first target group: mothers with premature births, the premature births having required intensive care; donors of mother's milk. The first data group comprises information about the composition of the milk of the mothers with premature births and the donors.

(16) The second data set comprises a second data group of a second target group: premature births with special nutritional requirements. The second data group contains information about these requirements and the necessary food compositions.

(17) In the data processing operation, an evaluation is made as to the enrichment which the milk of a specific real mother requires, and the information about how to carry out this enrichment and with which donor milk the desired result is achieved is delivered as guidelines.

(18) Information about the development of the baby, or about any complications such as stomach cramps or rashes, is reported back to the system as new data.

EXAMPLE 4

(19) The first data set comprises two first data groups, each being assigned to a first target group: mothers with low milk production; mothers who used to have low milk production but have overcome this. The first data group comprises information about the amount of milk which is produced over 24 hours in the mother's body, and information about the time profile of obtaining the milk and the amount of milk.

(20) The second data set comprises a second data group of a second target group: mothers with low milk production. The second data group contains similar information.

(21) In the data processing operation, an evaluation is made as to which factors could raise the milk production and these are output as guide values. The guide values may therefore comprise: parameters for operation of the milk pump, optimal type of milk pump, optimal nipple shield, pumping scheme with durations and intervals between the individual pumping processes, positioning of the mother during the pumping, environmental setting.

(22) Information about parameters and parameter groups which have led to an increase in milk production, or which did not or produced a negative effect, is reported back to the system as new data.

EXAMPLE 5

(23) The first data set comprises two first data groups, each being assigned to a first target group: care personnel of chest patients, surgeons of chest patients. The first data group comprises information about the data set of previous patients and about their healing profile over a period of time, particularly over a prolonged time.

(24) The second data set comprises a second data group of a second target group: chest patients. The second data group contains information about secretion drainage/secretion reduction over a period of time considered, for example over 24 hours.

(25) In the data processing operation, with the aid of known profiles of other cases, an evaluation is made as to how the specific healing process might develop. On the basis thereof, the optimal form of therapy for the specific patient is established. As possible guide values, the system therefore indicates medicament data and dosages, parameters for operation of the chest drainage pump.

(26) Information about the healing outcome or problems during the healing of the specific patient is reported back to the system as new data.

(27) The system according to the invention allows simply usable and individually optimized instruction for individuals and users, which is based on the experience of many people before.