WO2010019056A1 - Improved treatment method and device - Google Patents
Improved treatment method and device Download PDFInfo
- Publication number
- WO2010019056A1 WO2010019056A1 PCT/NZ2009/000163 NZ2009000163W WO2010019056A1 WO 2010019056 A1 WO2010019056 A1 WO 2010019056A1 NZ 2009000163 W NZ2009000163 W NZ 2009000163W WO 2010019056 A1 WO2010019056 A1 WO 2010019056A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- patient
- conditions
- foodstuffs
- index
- display station
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
Definitions
- the present invention generally relates to the field of nutritional science and in particular to identifying and delivering food-stuff based treatments of patient conditions.
- Medical tests that can be performed on samples from patients are commonplace today. For example, blood tests are commonly used to ascertain cholesterol levels, urine tests are commonly used to ascertain glucose levels, and DNA tests can be used to ascertain latent or expressed diseases and patient characteristics. On the basis of the results of these kinds of tests, medical practitioners and nutritionists can diagnose patient conditions and advise patients of dietary variations that will assist in the alleviation of symptoms associated with diagnosed conditions and ultimately improve patient health.
- diagnosis-treatment cycle is fragmented with each of the component parts being delivered by unrelated providers.
- diagnosis by a doctor is usually paid for separately to the delivery of treatments by a pharmacist and may be paid for by the patient, doctor, insurance company and/or a funding body.
- the present invention provides for a method and device for identifying foodstuffs capable of treating patient conditions.
- the method of the present invention searches a database of food-stuffs which are known to be capable of treating conditions, using a set of patient data, and generates results which are food-stuffs capable of treating the particular patient's conditions. These results are stored for future analysis and use.
- the set of patient data is developed by questioning the patient electronically or in-person and collecting patient data.
- the set of patient data is developed by means of collecting patient samples, analysing those samples and including the results of such analysis in the set of patient data.
- the delivery of the food-stuffs which have been identified as capable of treating the patient's condition is scheduled.
- delivery of identified food-stuffs is performed by placing a purchase order on a food distribution service provider, detailing the patient delivery address and the food-stuffs to be delivered, and optionally a delivery time.
- a feed-back loop as to the effectiveness of the treatment is created by means of further collecting patient data, analysing any changes in the patient data and if necessary modifying the food-stuffs to be used as treatment.
- a finance management business method and/or device is incorporated to manage payments from patients.
- the patient sample or samples collected is an oral swab, thumb prick, or urine sample, although this should not be seen as limiting.
- a user enters one or more desired conditions into the system or selects one or more desired conditions from a database on the system and the system identifies food-stuffs capable of bringing the user to the desired condition or conditions that were selected. It is further contemplated that the system is connected to a network such as the internet and accessible via mobile devices as well as other internet accessible devices although this should not be seen as limiting.
- FIG, 1 illustrates a general method of identifying foodstuffs capable of treating patient conditions.
- FIG. 2 illustrates a general method of identifying foodstuffs capable of treating patient conditions and scheduling their delivery.
- FIG. 3 illustrates a preferred embodiment of the invention for collecting patient samples and data, analysing those samples, identifying foodstuffs capable of treating patient conditions, and scheduling and performing delivery of those foodstuffs.
- FIG. 4 illustrates a preferred embodiment of the invention for collecting patient samples and data, analysing those samples, identifying foodstuffs capable of treating patient conditions, scheduling and performing delivery of those foodstuffs, and managing patient payments.
- a typical processing terminal which may function as the display station for conducting searches of an condition and food-stuff treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data.
- a set of patient data consisting of conditions that the patient is exhibiting in relation to a patient (1) is entered into a display and input capable computer (2).
- a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (3).
- Results of the search (4) are generated consisting of food-stuffs which are capable of treating the patient conditions contained in the set of patient data, and are' stored on the computer.
- patient a set of patient data consisting of raw medical data in relation to the patient is entered into a display and input capable computer.
- a search is conducted of a database containing conditions which can be diagnosed from raw medical data, and foodstuffs which are capable of treating conditions.
- Results of the search are generated consisting of conditions that the patient may be exhibiting and foodstuffs which are capable of treating the patient conditions, and are stored on the computer.
- a typical processing terminal which may function as the display station for conducting searches of an condition and food-stuff treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data and scheduling the food-stuffs' delivery.
- a set of patient data consisting of conditions that the patient is exhibiting in relation to a patient (5) is entered into a display and input capable computer (6).
- a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (7).
- Results of the search are generated consisting of food-stuffs which are capable of treating the patient conditions contained in the set of patient data, together with a delivery schedule (8) and are stored on the computer.
- a typical processing terminal which may function as the display station for conducting searches of an condition and food-stuff treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data including results of tests and medical data from the patient, and delivering the identified food-stuffs.
- Patient medical data and samples are collected from a patient (9). Analysis is performed on the samples and the results of that analysis are generated (10). Those results together with the medical data are entered as a set of patient data into a display and input capable computer (11). Using the set of patient data, a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (12). Results of the search are generated consisting of food-stuffs which are capable of treating the patient conditions contained in the set of patient data. The generated results are provided to a food distribution centre (13), which delivers the identified food-stuffs to the patient.
- the samples collected from the patient are blood, urine, oral swabs, or other samples capable of being used for DNA analysis, although this should not be seen as limiting.
- the medical data collected is quantitative data such as patient weight, blood pressure, heart rate, and also qualitative data such as libido and mental health, although this should not be seen as limiting.
- the analysis/analyses performed is/are DNA analysis such as genotyping, blood analysis such as blood sugar levels and determination of levels of essential minerals and vitamins, although this should not be seen as limiting.
- information regarding the patient conditions and the health benefits of the food-stuffs being delivered is also provided to the patient.
- delivery of the information regarding the health benefits of the food-stuffs being delivered is performed to the patient at the time of delivery of the food-stuffs.
- conditions identified from the results of DNA analysis are specifically excluded from the information provided to the patient.
- recipes which use the foodstuffs being delivered are also provided to the patient.
- delivery to the patient of the recipes which use the foodstuffs being delivered as ingredients is performed at the time of delivery of the food-stuffs.
- a typical processing terminal which may function as the display station for conducting searches of an condition and food-stuff treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data including results of tests and medical data from the patient, delivery of identified food-stuffs is conducted, and concurrently, a finance management method or device manages patient payments.
- Patient medical data and samples are collected from a patient (14). Analysis is performed on the samples and the results of that analysis are generated (15). Those results together with the medical data are entered as a set of patient data into a display and input capable computer (16). Using the set of patient data, a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (17). Results of the search are generated consisting of food-stuffs which are capable of treating the patient conditions contained in the set of patient data. Provided the patient payment or credit has been confirmed by finance management system (19), the generated results are provided to a food distribution centre (18), which delivers the identified foodstuffs to the patient. In preferred embodiments the set of data, includes feedback from the patient as to preferred and/or unwanted foodstuffs, and database searching and results are modified accordingly.
- condition' which is used throughout this specification, is intended to include disease and illness and includes the risk of developing a disease or illness.
- 'food-stuffs' that is used throughout this specification, is intended to include food and/or drink in processed and/or raw forms.
- treat means the promotion of healthy living and reduction of risk associated with patient conditions.
Landscapes
- Health & Medical Sciences (AREA)
- Nutrition Science (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
A business method and computer program for identifying foodstuffs which are capable of treating patient conditions through conducting searches of a database of conditions and treatments using patient data, and extracting results consisting of possible food-stuff based treatments for patient conditions. Following identification of food-stuff based treatments, delivery of identified food-stuffs can be scheduled and/or performed. The business method and computer programme is optionally augmented to include a finance management system for the management of patient payments associated with accessing the service and/or purchasing food-stuff based treatments.
Description
IMPROVED TREATMENTMETHOD AND DEVICE
Macfarlane Engel Ltd of 8/101 College Hill, Ponsonby, Auckland, a New Zealand company do hereby declare this invention to be described in the following statement:
BACKGROUKD OF THE INVENTION
TECHNICAL FIELD
The present invention generally relates to the field of nutritional science and in particular to identifying and delivering food-stuff based treatments of patient conditions.
BACKGROUND ART
Medical tests that can be performed on samples from patients are commonplace today. For example, blood tests are commonly used to ascertain cholesterol levels, urine tests are commonly used to ascertain glucose levels, and DNA tests can be used to ascertain latent or expressed diseases and patient characteristics. On the basis of the results of these kinds of tests, medical practitioners and nutritionists can diagnose patient conditions and advise patients of dietary variations that will assist in the alleviation of symptoms associated with diagnosed conditions and ultimately improve patient health.
These tests are problematic for medical practitioners and nutritionists as well as patients for various reasons. Patients may fail to adhere to the dietary variations recommended by medical practitioners or nutritionists. This may be due to the patient misunderstanding the recommended dietary variation, or incorrectly implementing the recommended dietary variations. Additionally or alternatively, the particular foodstuff that is part of the recommended dietary variation may not be readily available or easily sourced by the patient. Further, the medical practitioner may perform the wrong tests, misinterpret the test results, make an
incorrect diagnosis, and/or incorrectly recommend a particular dietary variation. These problems are amongst the range of difficulties that are commonly faced in correctly testing patients' medical conditions and treating patient conditions on the basis of dietary intake.
Additionally, it is fairly common today to use software to capture test results and for the software to make preliminary diagnosis of the patient's conditions. These software products are designed for use by medical practitioners and nutritionists, and/or directly by the patient for performing self-testing and diagnosis. At it's simplest the data captured by this kind of software can be as simple as the weight of the patient. In more sophisticated software packages, data captured can be the results of blood analysis or even DNA analysis. In some cases the software is also capable of recommending a course of action or treatment for the patient, which may include dietary variations.
These software products are problematic for medical practitioners and nutritionists as well as patients, predominantly for similar reasons. Firstly, patients can misunderstand the dietary changes recommended by the software. Secondly, the medical practitioner can misinterpret the test results and recommend the wrong dietary change or requirement. Thirdly, the dietary supplement may not be readily available for the patient. These problems are amongst the range of difficulties that are faced in correctly testing patients' medical conditions and treating patients on the basis of dietary intake. Self- diagnosis, even when aided by software, can be problematic by its very nature.
Further, managing of patients through the diagnosis-treatment cycle (i.e. consulting with the patient as to symptoms, if relevant collecting and analysing patient samples, diagnosing possible conditions, recommending a treatment for such condition, the patient purchasing such treatment, delivering the treatment, and if relevant subsequent consulting with the patient as to recovery) is problematic. The diagnosis-treatment cycle is fragmented with each of the component parts being delivered by unrelated providers. As a result of this lack of integration the delivery of the services is not end-to-end and can be difficult for the patient to navigate. For example, diagnosis by a doctor is usually paid for separately to the delivery of treatments by a pharmacist and may be paid for by the patient, doctor, insurance company and/or a funding body.
A further problematic area, is the testing and treatment of well people. The so- called 'worried-well' are turning to the plethora of off-the-shelf tests which can provide indications of pre-disposition to conditions. However, as noted in 'Making Sense of Testing' (a 2008 publication by London based registered charity Sense About Science in collaboration with The Royal College of Pathologists, The Association for Clinical Biochemistry and the Foundation for Genomics and Population Health), concerns are raised regarding providing otherwise healthy individuals with results regarding conditions which they may never exhibit. Treatment methods which can reduce the patient's risk of developing conditions to which they may be pre-disposed without disclosing underlying test results are therefore useful.
Therefore, there is a need for improved business methods and devices for implementing methods that address these and other shortcoming of the prior art. In particular, there is a need for improved business methods and devices for the collection of patient samples and data, identification of patient conditions, and identification of foodstuffs capable of treating these conditions; a need for improved business methods and devices for the scheduling of and performance of delivery of these foodstuff treatments; a need for improved business methods and devices that manage patient payments for access to such business methods, devices and delivery; and a need for improved business methods and devices that treat patients that are predisposed to particular illnesses without disclosing test results to the patient.
All references, including patents or patent applications, cited in this specification are hereby incorporated by reference. No admission is made that any reference constitutes prior art. The discussion of the references states what their authors assert and the applicants reserve the right to challenge the accuracy and pertinency of the cited documents. It will be clearly understood that, although a number of prior art publications are referred to herein, this reference does not constitute an admission that any of these documents forms part of the common general knowledge in the art in New Zealand or in any other country.
While the implementation of these methods and devices is beneficial, it will be desirable if potential uses of a testing, diagnosis and delivery methods and devices could be explored further.
It is acknowledged that the term 'comprise' may, under carrying jurisdictions, be attributed with either an exclusive or an inclusive meaning. For the purpose of this specification, and unless otherwise noted, the term 'comprise' shall have an inclusive meaning - i.e. that I will be taken to mean an inclusion of not only the listed components it directly references, but also other non-specified components or elements. This rationale will also be used when the term 'comprised' or 'comprising' is used in relation to one or more steps in a method or process.
It is an object of the present invention to address this problem, or at least to provide the public with a useful choice.
Aspects of the present invention will now be described by way of example only with reference to the following description.
BRIEF SUMMARY OF THE INVENTION
The present invention provides for a method and device for identifying foodstuffs capable of treating patient conditions. The method of the present invention searches a database of food-stuffs which are known to be capable of treating conditions, using a set of patient data, and generates results which are food-stuffs capable of treating the particular patient's conditions. These results are stored for future analysis and use.
In one embodiment, the set of patient data is developed by questioning the patient electronically or in-person and collecting patient data.
In another embodiment, the set of patient data is developed by means of collecting patient samples, analysing those samples and including the results of such analysis in the set of patient data.
Furthermore in one embodiment, the delivery of the food-stuffs which have been identified as capable of treating the patient's condition, is scheduled.
In an additional embodiment, delivery of identified food-stuffs is performed by placing a purchase order on a food distribution service provider, detailing the patient delivery address and the food-stuffs to be delivered, and optionally a delivery time.
In an additional embodiment, a feed-back loop as to the effectiveness of the treatment is created by means of further collecting patient data, analysing any changes in the patient data and if necessary modifying the food-stuffs to be used as treatment.
In a further embodiment, a finance management business method and/or device is incorporated to manage payments from patients.
In preferred embodiments of the present invention, the patient sample or samples collected is an oral swab, thumb prick, or urine sample, although this should not be seen as limiting.
In a further embodiment, a user enters one or more desired conditions into the system or selects one or more desired conditions from a database on the system and the system identifies food-stuffs capable of bringing the user to the desired condition or conditions that were selected.
It is further contemplated that the system is connected to a network such as the internet and accessible via mobile devices as well as other internet accessible devices although this should not be seen as limiting.
BRIEF SUMMARY OF THE DRAWINGS
FIG, 1 illustrates a general method of identifying foodstuffs capable of treating patient conditions.
FIG. 2 illustrates a general method of identifying foodstuffs capable of treating patient conditions and scheduling their delivery.
FIG. 3 illustrates a preferred embodiment of the invention for collecting patient samples and data, analysing those samples, identifying foodstuffs capable of treating patient conditions, and scheduling and performing delivery of those foodstuffs.
FIG. 4 illustrates a preferred embodiment of the invention for collecting patient samples and data, analysing those samples, identifying foodstuffs capable of treating patient conditions, scheduling and performing delivery of those foodstuffs, and managing patient payments.
DESCRIPTION OF THE PREFERRED EMBODIMENTS
Referring to FIG. 1, a typical processing terminal is shown which may function as the display station for conducting searches of an condition and food-stuff treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data.
A set of patient data consisting of conditions that the patient is exhibiting in relation to a patient (1) is entered into a display and input capable computer (2). Using the set of patient data, a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (3). Results of the search (4) are generated consisting of food-stuffs which are capable of treating the patient conditions contained in the set of patient data, and are' stored on the computer.
In a preferred embodiment, patient a set of patient data consisting of raw medical data in relation to the patient is entered into a display and input capable computer. Using the set of patient data, a search is conducted of a database containing conditions which can be diagnosed from raw medical data, and foodstuffs which are capable of treating conditions. Results of the search are generated consisting of conditions that the patient may be exhibiting and foodstuffs which are capable of treating the patient conditions, and are stored on the computer.
Referring to FIG. 2, a typical processing terminal is shown which may function as the display station for conducting searches of an condition and food-stuff
treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data and scheduling the food-stuffs' delivery.
A set of patient data consisting of conditions that the patient is exhibiting in relation to a patient (5) is entered into a display and input capable computer (6).
Using the set of patient data, a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (7). Results of the search are generated consisting of food-stuffs which are capable of treating the patient conditions contained in the set of patient data, together with a delivery schedule (8) and are stored on the computer.
Referring to FIG. 3, a typical processing terminal is shown which may function as the display station for conducting searches of an condition and food-stuff treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data including results of tests and medical data from the patient, and delivering the identified food-stuffs.
Patient medical data and samples are collected from a patient (9). Analysis is performed on the samples and the results of that analysis are generated (10). Those results together with the medical data are entered as a set of patient data into a display and input capable computer (11). Using the set of patient data, a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (12). Results of the search are generated consisting of food-stuffs which are capable of treating the patient conditions
contained in the set of patient data. The generated results are provided to a food distribution centre (13), which delivers the identified food-stuffs to the patient.
In preferred embodiments of the present invention, the samples collected from the patient are blood, urine, oral swabs, or other samples capable of being used for DNA analysis, although this should not be seen as limiting.
In preferred embodiments of the present invention, the medical data collected is quantitative data such as patient weight, blood pressure, heart rate, and also qualitative data such as libido and mental health, although this should not be seen as limiting.
In preferred embodiments of the present invention, the analysis/analyses performed is/are DNA analysis such as genotyping, blood analysis such as blood sugar levels and determination of levels of essential minerals and vitamins, although this should not be seen as limiting.
In preferred embodiments of the present invention, information regarding the patient conditions and the health benefits of the food-stuffs being delivered is also provided to the patient. In preferred embodiments of the present invention delivery of the information regarding the health benefits of the food-stuffs being delivered, is performed to the patient at the time of delivery of the food-stuffs. In preferred embodiments, conditions identified from the results of DNA analysis are specifically excluded from the information provided to the patient.
In preferred embodiments of the present invention, recipes which use the foodstuffs being delivered are also provided to the patient. In preferred embodiments
of the present invention delivery to the patient of the recipes which use the foodstuffs being delivered as ingredients, is performed at the time of delivery of the food-stuffs.-
Referring to FIG. 4, a typical processing terminal is shown which may function as the display station for conducting searches of an condition and food-stuff treatment database for identifying food-stuffs which are capable of treating conditions identified from a set of patient data including results of tests and medical data from the patient, delivery of identified food-stuffs is conducted, and concurrently, a finance management method or device manages patient payments.
Patient medical data and samples are collected from a patient (14). Analysis is performed on the samples and the results of that analysis are generated (15). Those results together with the medical data are entered as a set of patient data into a display and input capable computer (16). Using the set of patient data, a search is conducted of a database containing conditions and food-stuffs which are capable of treating conditions (17). Results of the search are generated consisting of food-stuffs which are capable of treating the patient conditions contained in the set of patient data. Provided the patient payment or credit has been confirmed by finance management system (19), the generated results are provided to a food distribution centre (18), which delivers the identified foodstuffs to the patient.
In preferred embodiments the set of data, includes feedback from the patient as to preferred and/or unwanted foodstuffs, and database searching and results are modified accordingly.
The term 'condition' which is used throughout this specification, is intended to include disease and illness and includes the risk of developing a disease or illness.
The term 'food-stuffs' that is used throughout this specification, is intended to include food and/or drink in processed and/or raw forms.
The terms "treat", "treating" and "treatment" and other forms of the word "treat" that is used throughout this specification, is intended to mean the promotion of healthy living and reduction of risk associated with patient conditions.
It should be emphasized that the above-described embodiments of the present invention, particularly, any "preferred" embodiments, are merely possible examples of implementations, merely set forth for a clear understanding of the principles of the invention. Many variations and modifications may be made to the above-described embodiment(s) of the invention without departing substantially from the spirit and principles of the invention. All such modifications and variations are intended to be included within the scope of the present invention.
Claims
WHAT IS CLAIMED IS:
1. A business method for identifying foodstuffs for the treatment of patient conditions comprising: entering into a computer controlled display station, a set including patient data; conducting a search through said computer controlled display station of a database of conditions and treatments, using said patient data; extracting from the results of said searching, on said display station, an index of conditions which the patient may be exhibiting based on said patient data, and an index of foodstuffs which are capable of treating said indexed conditions; storing said index of foodstuffs as possible treatments of said indexed conditions.
2. The business method of claim 1 further including the steps of collecting patient samples, performing analysis on said samples, and including the results of said analysis in said set including patient data.
3. A business method for delivering foodstuffs for the treatment patient conditions comprising the business method of claim 1 or 2 further including the step of delivering all or part of said indexed foodstuffs to said patient.
4. The business method of claim 3 further including the steps of:
conducting a search through said computer controlled display station of a database of recipes, using said index of foodstuffs, extracting from the results of said searching an index of recipes capable of treating said indexed conditions, and delivering said index of recipes to said patient.
6. The business method of claim 3, 4 or 5 in which the said step of collecting and the said step of delivering are performed at the same time.
7. A computer program having code recorded on a computer readable medium for identifying foodstuffs for the treatment of patient conditions comprising: means for entering into a computer controlled display station, a set including patient data; means for conducting a search through said computer controlled display station of a database of conditions and treatments, using said patient data; means for extracting from the results of said searching, on said display station, an index of conditions which the patient may be exhibiting based on said patient data, and an index of foodstuffs which are capable of treating said indexed conditions; storing said index of foodstuffs as possible treatments of said indexed conditions.
8. The computer program of claim 7, further including the means for entering into said computer controlled display station results of analysis of patient samples.
9. A computer program having code recorded on a computer readable medium for scheduling the delivery of foodstuffs for the treatment of patient conditions comprising: . means for entering into a computer controlled display station, a set including patient data; means for conducting a search through said computer controlled display station of a database of conditions and treatments, using said patient data; means for extracting from the results of said searching, on said display station, an index of conditions which the patient may be exhibiting based on said patient data, and an index of foodstuffs which are capable of treating said indexed conditions; assigning a date for delivery of indexed foodstuffs storing said index of foodstuffs, and said assigned date for delivery as possible treatment of said indexed conditions.
10. The computer program of claim 8, further including the means for entering into said computer controlled display station results of analysis of patient samples.
11. The computer program of claim 7, 8, 9 or 10 further including
the means for conducting a search through said computer controlled display station of a database of recipes, using said index of foodstuffs, the means for extracting from the results of said searching an index of recipes capable of treating said index conditions, and delivering said index of recipes to said patient.
12. A business method for identifying foodstuffs for the treatment of patient conditions comprising: entering into a computer controlled display station, a set including patient data; a set of patient desired conditions. conducting a search through said computer controlled display station of a database of conditions and treatments, using said patient data; extracting from the results of said searching, on said display station, an index of foodstuffs which are capable of delivering patient to said desired conditions; storing said index of foodstuffs as data for future analysis.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| NZ57047008 | 2008-08-11 | ||
| NZ570470 | 2008-08-11 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2010019056A1 true WO2010019056A1 (en) | 2010-02-18 |
Family
ID=41669059
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/NZ2009/000163 WO2010019056A1 (en) | 2008-08-11 | 2009-08-10 | Improved treatment method and device |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2010019056A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550225A (en) * | 2015-12-07 | 2016-05-04 | 百度在线网络技术（北京）有限公司 | Index construction method and query method and apparatus |
| US11250062B2 (en) | 2019-04-04 | 2022-02-15 | Kpn Innovations Llc | Artificial intelligence methods and systems for generation and implementation of alimentary instruction sets |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030023387A1 (en) * | 2001-01-30 | 2003-01-30 | Gill-Garrison Rosalynn D. | Computer-assisted means for assessing lifestyle risk factors |
| US20050177397A1 (en) * | 2004-02-17 | 2005-08-11 | Bodybio, Inc. | Network and methods for integrating individualized clinical test results and nutritional treatment |
-
2009
- 2009-08-10 WO PCT/NZ2009/000163 patent/WO2010019056A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030023387A1 (en) * | 2001-01-30 | 2003-01-30 | Gill-Garrison Rosalynn D. | Computer-assisted means for assessing lifestyle risk factors |
| US20050177397A1 (en) * | 2004-02-17 | 2005-08-11 | Bodybio, Inc. | Network and methods for integrating individualized clinical test results and nutritional treatment |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550225A (en) * | 2015-12-07 | 2016-05-04 | 百度在线网络技术（北京）有限公司 | Index construction method and query method and apparatus |
| CN105550225B (en) * | 2015-12-07 | 2019-05-28 | 百度在线网络技术（北京）有限公司 | Index structuring method, querying method and device |
| US11250062B2 (en) | 2019-04-04 | 2022-02-15 | Kpn Innovations Llc | Artificial intelligence methods and systems for generation and implementation of alimentary instruction sets |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Feldman et al. | Quantifying sex bias in clinical studies at scale with automated data extraction | |
| Pratt et al. | The validity of the Rx-Risk comorbidity index using medicines mapped to the anatomical therapeutic chemical (ATC) classification system | |
| Fenton et al. | Long-term risk of overdose or mental health crisis after opioid dose tapering | |
| Folsom et al. | Associations of general and abdominal obesity with multiple health outcomes in older women: the Iowa Women's Health Study | |
| Lipscombe et al. | Reduced screening mammography among women with diabetes | |
| Sloan et al. | The growing burden of diabetes mellitus in the US elderly population | |
| Martin et al. | Expenditures and health status among adults with back and neck problems | |
| Quesenberry et al. | Obesity, health services use, and health care costs among members of a health maintenance organization | |
| Armstrong et al. | Racial differences in the use of BRCA1/2 testing among women with a family history of breast or ovarian cancer | |
| Sachdev et al. | Homocysteine and the brain in midadult life: evidence for an increased risk of leukoaraiosis in men | |
| Jansen-van der Weide et al. | Granted, undecided, withdrawn, and refused requests for euthanasia and physician-assisted suicide | |
| Bravata et al. | Using pedometers to increase physical activity and improve health: a systematic review | |
| Fenton et al. | Delivery of cancer screening: how important is the preventive health examination? | |
| US20140350960A1 (en) | Interactive testing system for analysing biological samples | |
| Sperl-Hillen et al. | Priorities wizard: multisite web-based primary care clinical decision support improved chronic care outcomes with high use rates and high clinician satisfaction rates | |
| Saltbæk et al. | MyHealth: specialist nurse-led follow-up in breast cancer. A randomized controlled trial–development and feasibility | |
| Zickafoose et al. | Parents’ preferences for enhanced access in the pediatric medical home: a discrete choice experiment | |
| Hsu et al. | Effectiveness of multidisciplinary care for chronic kidney disease: a systematic review | |
| KR102472889B1 (en) | Health management method and server using health checkup information | |
| Møen et al. | Effect of an intervention in general practice to increase the participation of immigrants in cervical cancer screening: a cluster randomized clinical trial | |
| Ming et al. | Validity of patient self-reported history of skin cancer | |
| Novis | Detecting and preventing the occurrence of errors in the practices of laboratory medicine and anatomic pathology: 15 years' experience with the College of American Pathologists' Q-PROBES and Q-TRACKS programs | |
| Sealock et al. | Proposing a sex-adjusted sodium-adjusted MELD score for liver transplant allocation | |
| Kini et al. | Cardiac stress test trends among US patients younger than 65 years, 2005-2012 | |
| Mehrotra et al. | Receipt of out-of-state telemedicine visits among Medicare beneficiaries during the COVID-19 pandemic |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 09806902 Country of ref document: EP Kind code of ref document: A1 |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 09806902 Country of ref document: EP Kind code of ref document: A1 |