CN111933232B - Female breast health information management system and method - Google Patents
Female breast health information management system and method Download PDFInfo
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- CN111933232B CN111933232B CN202010677184.0A CN202010677184A CN111933232B CN 111933232 B CN111933232 B CN 111933232B CN 202010677184 A CN202010677184 A CN 202010677184A CN 111933232 B CN111933232 B CN 111933232B
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- 230000036541 health Effects 0.000 title claims abstract description 60
- 210000000481 breast Anatomy 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title abstract description 7
- 208000030270 breast disease Diseases 0.000 claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 52
- 210000005075 mammary gland Anatomy 0.000 claims description 13
- 201000010099 disease Diseases 0.000 claims description 10
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 10
- 230000008451 emotion Effects 0.000 claims description 7
- 208000024891 symptom Diseases 0.000 claims description 5
- ZOKXTWBITQBERF-UHFFFAOYSA-N Molybdenum Chemical compound [Mo] ZOKXTWBITQBERF-UHFFFAOYSA-N 0.000 claims description 4
- 230000035558 fertility Effects 0.000 claims description 4
- 229910052750 molybdenum Inorganic materials 0.000 claims description 4
- 239000011733 molybdenum Substances 0.000 claims description 4
- 239000008280 blood Substances 0.000 claims description 3
- 210000004369 blood Anatomy 0.000 claims description 3
- 230000036772 blood pressure Effects 0.000 claims description 3
- 230000002175 menstrual effect Effects 0.000 claims description 3
- 230000003340 mental effect Effects 0.000 claims description 3
- 230000027758 ovulation cycle Effects 0.000 claims description 3
- 238000001356 surgical procedure Methods 0.000 claims description 3
- 238000002604 ultrasonography Methods 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims description 2
- 230000037213 diet Effects 0.000 claims 1
- 235000005911 diet Nutrition 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000013399 early diagnosis Methods 0.000 abstract description 2
- 230000010365 information processing Effects 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 description 4
- 238000013517 stratification Methods 0.000 description 3
- 206010006187 Breast cancer Diseases 0.000 description 2
- 208000026310 Breast neoplasm Diseases 0.000 description 2
- 201000011510 cancer Diseases 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 150000002632 lipids Chemical class 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 206010006272 Breast mass Diseases 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- 230000012173 estrus Effects 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 229940088597 hormone Drugs 0.000 description 1
- 239000005556 hormone Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006651 lactation Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000035935 pregnancy Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000028327 secretion Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Classifications
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- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The invention provides a female breast health information management system and method, which relate to the technical field of breast health information processing and specifically comprise the following steps: the database is used for storing the breast health information; the medical management end is connected with the database through a cloud server and is used for calling the breast health information and giving out corresponding danger layering results and follow-up time; the cloud server includes: the storage unit is used for storing the corresponding relation between each danger layering result and the individuation suggestion; the processing unit is connected with the storage unit and is used for matching the dangerous layering result with the corresponding relation to obtain an individuation suggestion, and outputting the individuation suggestion and the follow-up time; the patient client is connected with the cloud server and used for acquiring personalized suggestions and follow-up time; the method has the beneficial effects that the breast health information and different dangerous layering patients in the database are managed through the cloud server, so that the problem that the breast health information is difficult to call is solved, and the early discovery, early diagnosis and early treatment of breast diseases are facilitated.
Description
Technical Field
The invention relates to the technical field of breast health information processing, in particular to a female breast health information management system and method.
Background
Breast disease is one of the most common diseases in women worldwide, wherein the incidence rate and death rate of breast cancer are the first malignant tumors of women, and breast cancer is the most common cancer in women in China and seriously endangers the life health of women. With the development of social and economic level and the improvement of living standard of people, the living and working pressure of females is increased, the detection rate of symptoms and nodules of mammary glands is increased, at present, the prevention and treatment mechanism of medical institutions and the whole society is not sound, and most females and the whole society have insufficient knowledge of mammary gland health and knowledge of diseases, so that the mammary gland health data of individuals are difficult to systematically manage and call, and a standardized, systematic and personalized management platform for individual information of patients is lacking.
The occurrence and development of the mammary gland diseases are affected by various factors including age, hormone secretion, emotion, living habit, fertility history and the like, so that importance of women and the public on the health of the mammary gland is improved, popularization of the relevant knowledge of the mammary gland health, early prevention and effective screening and diagnosis of the relevant diseases are carried out, and the quality of life of the women is improved; how to utilize informatization means to construct a breast system management platform and systematically and standardized manage people with different risk levels of breast diseases in female groups is a problem to be solved in the medical and technical fields at present.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a female breast health information management system, which specifically comprises:
a database for storing externally uploaded breast health information of a number of patients, the breast health information comprising: personal archive information, breast disease risk factor information, images and clinical data;
the medical management end is connected with the database through a cloud server and is used for enabling a doctor to call the breast health information of each patient in the database through the cloud server and give out corresponding danger layering results and follow-up time according to the breast health information;
the cloud server includes:
the storage unit is used for storing the corresponding relation between each pre-generated danger layering result and the individuation suggestion;
the processing unit is connected with the storage unit and is used for matching the dangerous layering result given by the medical management end with the corresponding relation to obtain the corresponding individuation suggestion, and outputting the individuation suggestion and the follow-up time;
and the patient client is connected with the cloud server and is used for acquiring the personalized advice and the follow-up time through the cloud server, and the patient carries out follow-up treatment according to the personalized advice and the follow-up time.
Preferably, the database includes:
a base information sub-database for storing the personal profile information;
the risk factor information sub-database is used for storing the breast disease risk factor information;
and the image and clinical data sub-database is used for storing the image and clinical data.
Preferably, the medical management end includes a first input unit, configured to allow a doctor to input the images and clinical data of each patient and upload the images and clinical data to the database for storage through the cloud server.
Preferably, the patient client includes a second input unit, configured to allow the patient to input the personal archive information and the breast disease risk factor information of the patient, and upload the personal archive information and the breast disease risk factor information to the database for storage through the cloud server.
Preferably, the patient client further comprises an information query unit for the patient to query and obtain the personal profile information, the breast disease risk factor information, the personalized advice and the follow-up information of the patient.
Preferably, the cloud server further includes a questionnaire issuing unit, configured to issue a pre-stored emotion fluctuation record questionnaire to the corresponding patient client before each follow-up treatment of the patient, and store a questionnaire result of the patient, so as to allow a doctor to call and check the questionnaire.
Preferably, the personal profile information comprises the patient's personal name, and/or age, and/or height, and/or weight, and/or blood pressure, and/or blood lipid, and/or three-way, and/or BMI index, and/or eating and sleeping conditions, and/or menstrual beginner time, and/or menstrual cycle information.
Preferably, the breast disease risk factor information includes working life conditions, and/or mental stress conditions, and/or marital fertility history, and/or breast disease family history of the patient, and the image and clinical data includes breast clinical symptoms, and/or molybdenum targets, ultrasound and magnetic resonance formal exam reports, and/or medical and surgical treatment history of the patient.
The female breast health information management method is applied to the female breast health information management system described in any one of the above, as shown in fig. 1, and specifically comprises the following steps:
step S1, the female mammary gland health information management system inputs the personal archive information of each patient, the mammary gland disease risk factor information, the images and clinical data into the database;
step S2, the doctor calls the breast health information of each patient in the database through the medical management end, and gives out a corresponding danger layering result and follow-up time according to the breast health information;
step S3, the female breast health information management system matches the dangerous layering result given by the medical management end with the corresponding relation between each pre-generated dangerous layering result and the individualized advice to obtain the corresponding individualized advice, and outputs the individualized advice and the follow-up time;
and S4, the patient acquires the personalized advice and the follow-up time through the patient client, and carries out follow-up treatment according to the personalized advice and the follow-up time.
The technical scheme has the following advantages or beneficial effects:
1) The cloud server transmits a form of a estrus fluctuation record questionnaire to the patient client, so that the importance of women on the breast health is improved, and the follow-up diagnosis and treatment are facilitated;
2) The problem that the breast health information is difficult to call is solved through standardized management of the cloud server on the breast health information in the database;
3) The cloud server is used for carrying out different risk layering partition management on the breast diseases in the female population, and is beneficial to early discovery, early diagnosis and early treatment of the breast diseases.
Drawings
FIG. 1 is a schematic diagram of a female breast health information management system according to a preferred embodiment of the present invention;
FIG. 2 is a block diagram showing a method for managing female breast health information according to a preferred embodiment of the present invention;
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present invention is not limited to the embodiment, and other embodiments may fall within the scope of the present invention as long as they conform to the gist of the present invention.
In a preferred embodiment of the present invention, based on the above-mentioned problems existing in the prior art, the present invention provides a female breast health information management system, as shown in fig. 1, specifically including:
a database 1, configured to store externally uploaded breast health information of a plurality of patients, where the breast health information includes: personal archive information, breast disease risk factor information, images and clinical data;
the medical management end 2 is connected with the database 1 through a cloud server 3 and is used for enabling doctors to call the breast health information of each patient in the database 1 through the cloud server 3 and giving corresponding danger layering results and follow-up time according to the breast health information;
the cloud server 3 includes:
a storage unit 31 for storing a correspondence between each risk stratification result generated in advance and the personalized advice;
the processing unit 32 is connected with the storage unit 31 and is used for obtaining corresponding individuation suggestions according to matching of the dangerous layering result given by the medical management end 2 and the corresponding relation, and outputting the individuation suggestions and the follow-up time;
and the patient client 4 is connected with the cloud server 3 and is used for acquiring the personalized advice and the follow-up time through the cloud server 3, and the patient carries out follow-up treatment according to the personalized advice and the follow-up time.
Specifically, in this embodiment, the cloud server 3 includes a personal ID archive registration management system, a breast disease management system, and a monitoring follow-up management system, which manage personal archive information and breast disease risk factor information, respectively; the monitoring follow-up management system is used for monitoring follow-up management on the patient's visit; according to clinical experience of breast clinicians and sonographers and literature study reports, corresponding scoring is carried out on clinical data information, the presence or absence of nodules, characteristics of nodules and BI-RADS classification of each female patient, risk stratification is defined according to a score range, and doctors formulate corresponding treatment schemes for patients with different risk stratification and give corresponding follow-up time to the patients; formulation of follow-up time: the patient client 4 and the medical management end 2 communicate with each other through the cloud server 3, and the medical management end 2 establishes individual follow-up time for the patient according to whether the patient has clinical symptoms of mammary gland (including pain, overflow and the like), whether the patient has breast nodules, ultrasonic or MRI of the nodules, molybdenum target expression and BI-RADS classification, such as: women in the gestation or lactation period suggest routine follow-up examinations in their period; women over 40 years old are asymptomatic and free of nodules, suggesting annual follow-up; for patients with nodule detection, every 3-6 months a follow-up or appropriate treatment is performed according to the specific characteristics of the nodule and the BI-RADS classification.
In a preferred embodiment of the invention, the database 1 comprises:
a base information sub-database 11 for storing personal profile information;
a risk factor information sub-database 12 for storing breast disease risk factor information;
an image and clinical data sub-database 13 for storing image and clinical data.
In the preferred embodiment of the present invention, the medical management end 2 includes a first input unit 21 for a doctor to input images and clinical data of each patient and upload the images and clinical data to the database 1 for storage through the cloud server 3.
In the preferred embodiment of the present invention, the patient client 4 includes a second input unit 41 for the patient to input personal archive information and breast disease risk factor information thereof, and upload the personal archive information and breast disease risk factor information to the database 1 for storage through the cloud server 3.
Specifically, in this embodiment, the recording mode of the second recording unit 41 includes manual recording and external acquisition end recording of the patient, when the patient cannot manually record, the medical staff can assist the patient to record personal archive information and mammary gland disease risk factors of the patient through the external acquisition end recording mode, and the integrity of data recording is ensured by setting the two modes of manual recording and external acquisition end recording of the patient.
In the preferred embodiment of the present invention, the patient client 4 further includes an information query unit 42 for the patient to query and obtain personal profile information, breast disease risk factor information, personalized advice and follow-up information of the patient.
Specifically, in this embodiment, by providing the information inquiry unit 42, the patient can grasp personal profile information and follow-up information provided by the monitoring follow-up management subsystem at any time, and obtain the announced information of the disease and the preventive measures conforming to the own situation, the sending and worsening of the disease are facilitated.
In the preferred embodiment of the present invention, the cloud server 3 further includes a questionnaire issuing unit 33 for issuing a pre-stored emotion fluctuation record questionnaire to the corresponding patient client 4 before each follow-up treatment of the patient, and storing the questionnaire result of the patient for the doctor to call and check.
Specifically, in this embodiment, the questionnaire issued by the questionnaire issuing unit 33 is an electronic emotion fluctuation recording questionnaire, the normalization degree of the emotion questionnaire is made higher by an electronic form, sharing and statistics can be realized, and the doctor can know emotion fluctuation in the patient treatment process through the questionnaire issuing unit 33 so as to provide reference for subsequent treatment.
In a preferred embodiment of the invention, the personal profile information comprises the patient's personal name, and/or age, and/or height, and/or weight, and/or blood pressure, and/or blood lipid, and/or three-way, and/or BMI index, and/or eating and sleeping conditions, and/or menstrual beginner time, and/or menstrual cycle information.
In a preferred embodiment of the invention, the breast disease risk factor information includes the patient's work and life status, and/or mental stress status, and/or marital fertility history, and/or breast disease family history.
In preferred embodiments of the invention, the imaging and clinical data includes clinical symptoms of the patient's breast, and/or molybdenum targets, ultrasound and magnetic resonance formal examination reports, and/or medical and surgical treatment history.
The female breast health information management method is applied to the female breast health information management system of any one of the above, as shown in fig. 2, and specifically comprises the following steps:
step S1, a female breast health information management system inputs personal file information, breast disease risk factor information, images and clinical data of each patient into a database;
step S2, a doctor calls the breast health information of each patient in the database through the medical management end, and gives out a corresponding danger layering result and follow-up time according to the breast health information;
step S3, the female breast health information management system matches the dangerous layering results given by the medical management end with corresponding relations between each dangerous layering result and the individuation advice which are generated in advance to obtain corresponding individuation advice, and outputs individuation advice and follow-up time;
and S4, the patient acquires the personalized advice and the follow-up time through the patient client, and carries out follow-up treatment according to the personalized advice and the follow-up time.
The foregoing is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the embodiments and scope of the present invention, and it should be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the description and illustrations herein, which should be included in the scope of the present invention.
Claims (9)
1. A female breast health information management system, comprising:
a database for storing externally uploaded breast health information of a number of patients, the breast health information comprising: personal archive information, breast disease risk factor information, images and clinical data;
the medical management end is connected with the database through a cloud server and is used for enabling a doctor to call the breast health information of each patient in the database through the cloud server and give out corresponding danger layering results and follow-up time according to the breast health information;
the cloud server includes:
the storage unit is used for storing the corresponding relation between each pre-generated danger layering result and the individuation suggestion;
the processing unit is connected with the storage unit and is used for matching the dangerous layering result given by the medical management end with the corresponding relation to obtain the corresponding individuation suggestion, and outputting the individuation suggestion and the follow-up time;
the patient client is connected with the cloud server and used for acquiring the personalized advice and the follow-up time through the cloud server, and the patient carries out follow-up treatment according to the personalized advice and the follow-up time;
the patient client comprises a second input unit, and the second input unit is used for enabling the patient to input personal archive information and breast disease risk factor information of the patient, and the personal archive information and the breast disease risk factor information are uploaded to the database through the cloud server for storage;
the second input unit comprises manual input of the patient and input of an external acquisition end, and when the patient cannot be manually input, medical staff assists the patient to input personal archive information of the patient and mammary gland disease risk factors in a mode of the external acquisition end.
2. The female breast health information management system of claim 1, wherein said database comprises:
a base information sub-database for storing the personal profile information;
the risk factor information sub-database is used for storing the breast disease risk factor information;
and the image and clinical data sub-database is used for storing the image and clinical data.
3. The system of claim 1, wherein the medical management terminal comprises a first input unit for a doctor to input the images and clinical data of each patient and upload the images and clinical data to the database for storage.
4. The female breast health information management system of claim 1, wherein said patient client further comprises an information querying unit for said patient to query and obtain said personal profile information, said breast disease risk factor information, said personalized advice and said follow-up information for said patient.
5. The female breast health information management system according to claim 1, wherein the cloud server further comprises a questionnaire issuing unit for issuing a pre-stored emotion fluctuation record questionnaire to the corresponding patient client before each follow-up treatment of the patient, and storing the questionnaire result of the patient for a doctor to call and check.
6. Female breast health information management system according to claim 1, wherein said personal profile information comprises the personal name, and/or age, and/or height, and/or weight, and/or blood pressure, and/or blood fat, and/or three-way, and/or BMI index, and/or diet and sleep status, and/or menstrual beginner time, and/or menstrual cycle information of said patient.
7. The female breast health information management system of claim 1, wherein the breast disease risk factor information comprises working life conditions, and/or mental stress conditions, and/or marital fertility history, and/or breast disease family history of the patient.
8. The female breast health information management system of claim 1, wherein the imaging and clinical data includes clinical symptoms of the patient's breast, and/or molybdenum targets, ultrasound and magnetic resonance formal examination reports, and/or medical and surgical treatment history.
9. A female breast health information management method, characterized in that it is applied to a female breast health information management system as claimed in any one of claims 1 to 8, said female breast health information management method specifically comprising the steps of:
step S1, the female mammary gland health information management system inputs the personal archive information of each patient, the mammary gland disease risk factor information, the images and clinical data into the database;
step S2, the doctor calls the breast health information of each patient in the database through the medical management end, and gives out a corresponding danger layering result and follow-up time according to the breast health information;
step S3, the female breast health information management system matches the dangerous layering result given by the medical management end with the corresponding relation between each pre-generated dangerous layering result and the individuation suggestion to obtain the corresponding individuation suggestion, and outputs the individuation suggestion and the follow-up time;
and S4, the patient acquires the personalized advice and the follow-up time through the patient client, and carries out follow-up treatment according to the personalized advice and the follow-up time.
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| CN202010677184.0A CN111933232B (en) | 2020-07-14 | 2020-07-14 | Female breast health information management system and method |
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| CN202010677184.0A CN111933232B (en) | 2020-07-14 | 2020-07-14 | Female breast health information management system and method |
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| CN113506630A (en) * | 2021-07-08 | 2021-10-15 | 上海中医药大学附属龙华医院 | Whole all-round intelligent management system of breast cancer postoperative |
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| CN107330295A (en) * | 2017-07-17 | 2017-11-07 | 深圳市前海博志信息技术有限公司 | breast health management system and method |
| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
| CN110289107A (en) * | 2019-05-10 | 2019-09-27 | 南方医科大学珠江医院 | A kind of medical follow up control method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20130178747A1 (en) * | 2012-01-10 | 2013-07-11 | Peter J. Muran | Breast cancer precursor evaluation system and proactive breast wellness program |
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| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
| CN107330295A (en) * | 2017-07-17 | 2017-11-07 | 深圳市前海博志信息技术有限公司 | breast health management system and method |
| CN110289107A (en) * | 2019-05-10 | 2019-09-27 | 南方医科大学珠江医院 | A kind of medical follow up control method |
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