CN114283908A - Subject data management method and system and electronic equipment - Google Patents
Subject data management method and system and electronic equipment Download PDFInfo
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Abstract
The invention provides a subject data management method, a subject data management system and electronic equipment, belongs to the technical field of big data, and solves the problem that the existing physical examination data is not accurate enough in analysis. The method comprises the following steps: acquiring and storing identity information and physiological information of a subject; setting target requirements of the physical examination items; double-blind random grouping of subjects; counting and judging whether the proportion of the number of the physiological information of the testees in each group in each section meets the preset distribution; and if not, generating personnel adjustment reminding information, and sending the personnel adjustment reminding information to the administrator terminal, so that the administrator adjusts the personnel groups according to the personnel adjustment reminding information.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a subject data management method, a subject data management system and electronic equipment.
Background
With the popularization of medical health technology, people pay more and more attention to the physical state of the body, and institutions such as schools, work units and the like can regularly organize personnel to perform physical examination.
For the physical examination results, the statistics and analysis of the physical examination population are also required. The physical examination mechanisms such as the current hospitals or physical examination centers generally have corresponding systems to analyze physical examination results, and pay more attention to the data of each physical examination item, but neglect the physiological information of the crowd per se, cause that physical examination data can not be attached to different crowds, and reduce the accuracy of data analysis. Therefore, the prior art has the problem that the analysis of physical examination data is not accurate enough.
Disclosure of Invention
The invention aims to provide a subject data management method, a subject data management system and electronic equipment, so as to solve the problem that the existing physical examination data is not accurately analyzed.
In a first aspect, the present invention provides a subject data management method applied to a physical examination service data platform, the method including:
acquiring and storing identity information and physiological information of a subject;
setting target requirements of the physical examination items;
double-blind random grouping of subjects;
counting and judging whether the proportion of the number of the physiological information of the testees in each group in each section meets the preset distribution;
and if not, generating personnel adjustment reminding information, and sending the personnel adjustment reminding information to the administrator terminal, so that the administrator adjusts the personnel groups according to the personnel adjustment reminding information.
Further, the physiological information includes at least one of gender, age, allergen, medical history, and physical characteristics.
Further, the step of counting and judging whether the proportion of the number of the physiological information of the testees in each group in each interval accords with the preset distribution comprises the following steps:
counting the age of the subjects in each group;
and judging whether the proportion of the number of people in each age interval in each group accords with preset distribution.
Further, the preset distribution is as follows: the ratio of the age interval with the highest number of people to the age interval with the lowest number of people is less than 1.2.
Further, the age intervals include young, middle-aged and elderly age intervals.
Further, the step of counting and judging whether the proportion of the number of the physiological information of the testees in each group in each interval accords with the preset distribution comprises the following steps:
counting the sex of the subjects in each group;
judging whether the proportion of the number of the male and the female in each group is between 0.8 and 1.25.
Further, the step of counting and judging whether the proportion of the number of the physiological information of the testees in each group in each interval accords with the preset distribution comprises the following steps:
counting BMI indicators of the subjects in each group;
and judging whether the proportion of people in different BMI index intervals in each group is between 0.8 and 1.25.
In a second aspect, the present invention further provides a subject data management system applied to a physical examination service data platform, the system comprising:
the acquisition module is used for acquiring and storing the identity information and the physiological information of the testee;
the setting module is used for setting the target requirements of the physical examination items;
the grouping module is used for carrying out double-blind random grouping on the subjects meeting the project setting requirements;
the judging module is used for counting and judging whether the proportion of the number of the physiological information of the testees in each group in each section meets the preset distribution;
the reminding module is used for generating personnel adjustment reminding information and sending the personnel adjustment reminding information to the administrator terminal when the judgment module judges that the personnel adjustment reminding information is not available, so that an administrator can adjust the personnel groups according to the personnel adjustment reminding information;
and the comparison module is used for comparing the first physical examination data and the second physical examination data of the subjects, acquiring the physical examination data difference, and acquiring the sample effect data according to the physical examination data difference of the subjects of different groups.
In a third aspect, the present invention further provides an electronic device, which includes a memory and a processor, where the memory stores a computer program operable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to carry out the method described above.
The subject data management method provided by the invention is used for analyzing the influence of samples of functional products such as health food, health food or cosmetics for improving the human body state on the physical state of the subject. Firstly, acquiring and storing the identity information and physiological information of a subject, confirming various requirements of the physical examination project, and then carrying out double-blind random grouping on the subject meeting the project requirements, such as a trial group, a blank group, a comparison group and the like. Then, the physiological information of the subjects in each group is counted, and whether the population ratio of the physiological information of the subjects in each section in each group meets the preset distribution or not is judged, for example, whether the age group of the subjects meets the preset distribution or not, whether the male and female ratios of the subjects meet the preset distribution or not, whether the ratios of different BMI sections of the subjects meet the preset distribution or not, and the like. And if certain physiological information does not accord with the preset distribution, generating personnel adjustment reminding information, sending the personnel adjustment reminding information to an administrator terminal, reminding an administrator to add, delete or perform double-blind random grouping again on the testees in the corresponding group, performing personnel grouping adjustment after the administrator receives the reminding, judging again by the system, and obtaining a testee group which accords with the expectation after confirming that no problem exists.
In subsequent data statistics and analysis, the influence effect of the food sample on the physical state of the subject can be more accurately obtained by comparing the first physical examination data and the second physical examination data of the subject. Wherein, the first physical examination data is the initial physical state of the subject, namely the physical state before using the sample; after a period of time, the subjects are subjected to a second physical examination, and the data of the second physical examination after the subjects use the samples according to the belonged groups are obtained and stored, during the period, the subjects in the test group insist on using the samples, the subjects in the control group insist on using the placebo samples, and the subjects in the blank group do not use the samples. Therefore, by adopting the subject data management method provided by the invention, the reasonability and objectivity of the subject population can be ensured, and the analysis of physical examination data is more accurate.
Accordingly, the subject data management system, the electronic device and the computer-readable storage medium provided by the embodiments of the present invention also have the above technical effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of a method for managing subject data according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a physical examination data management system according to a second embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprising" and "having," and any variations thereof, as referred to in embodiments of the present invention, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The physical examination mechanisms such as the current hospitals or physical examination centers generally have corresponding systems to analyze physical examination results, and pay more attention to the data of each physical examination item, but neglect the physiological information of the crowd per se, cause that physical examination data can not be attached to different crowds, and reduce the accuracy of data analysis. Therefore, the prior art has the problem that the analysis of physical examination data is not accurate enough.
Meanwhile, at present, the qualification certification of functional products such as various health foods, cosmetics and the like is gradually developed and popularized, and clinical tests for product efficacy verification are organized according to the requirements of national regulations, so that a scientific and reliable evaluation flow, management method and management tool for the using effect of the product are required.
In view of the above problems, an embodiment of the present invention provides a subject data management method, which is applied to a physical examination service data platform.
The first embodiment is as follows:
as shown in fig. 1, the subject data management method provided by the embodiment of the present invention includes the following steps:
s1: identity information and physiological information of the subject are acquired and stored.
In this embodiment, the identity information may include one or more of a name, an identification number, a occupation, a fingerprint, a face feature, and a contact information. In addition, various other data and data of the subjects can be collected, including informed consent, basic information of health physical examination tables, diet questionnaires, physical activity questionnaires, and various functional efficacy tables such as health physical examination tables, memory tables, symptom inquiry tables, eye condition inquiry tables, constipation daily condition record tables and the like.
The physiological information may include one or more of gender, age, allergies, medical history, and physical characteristic indicators (e.g., obesity, anemia, etc.).
S2: and setting the target requirements of the physical examination items.
For example, a test subject group screening criterion, a grouping criterion, a demand for the number of persons in the project, and the like are set.
S3: and carrying out double-blind random grouping on the subjects meeting the target requirements of the physical examination items.
The group arrangement in this embodiment is divided into a trial group and a reference group according to the project requirements, and the reference group may include one or more of a control group, a blank group, and a positive reference group, i.e. from at least two groups to at most four groups. Wherein subjects in the test group used the efficacy product validated by the program, subjects in the control group used the placebo product, subjects in the blank group did not use any product, and subjects in the positive reference group used other similar efficacy products.
Meanwhile, for specific projects, the subjects need to be organized to perform specific project physical examination so as to determine whether the subjects meet the group screening standards of the current time, such as mild hypertension groups, diabetes initial groups and the like, and accordingly basic groups meeting the standards are screened from the group database.
Double-blind random grouping is a medical judgment standard, and specifically means that subjects are randomly distributed when divided into two groups or three groups, and the subjects do not know the group to which the subjects belong; at the same time, the staff member does not know whether a real sample or a placebo is dispensed when the sample is dispensed to the subject. Thus, the subject is "blind" to the group to which he belongs, and the staff is also "blind" to the dispensed sample, thereby achieving double-blind random grouping.
S4: and counting and judging whether the proportion of the number of the physiological information of the testees in each group in each interval accords with preset distribution.
If the determination result in this step is negative, that is, if there is some physiological information that does not conform to the preset distribution, then execute step S5; if the determination result in this step is yes, step S6 is executed.
In a possible embodiment, the age distribution of the subject can be judged in this step, specifically:
s41: the age of the subjects in each group was counted.
S42: and judging whether the proportion of the number of people in each age interval in each group accords with preset distribution.
The age intervals may include, among others, the young (18 to 40 years), the middle (41 to 60 years) and the old (61 years and over).
In one embodiment, the preset distribution may be set as: the ratio of the age interval with the highest number of people to the age interval with the lowest number of people is less than 1.2. For example, the middle age interval is 75 persons, which is the age interval with the largest number of persons; the ratio of 75:61 is 1.23 and greater than 1.2, so that the pre-set distribution is not met when 61 people in the old age interval are in the age interval with the least number of people.
In another possible embodiment, the gender distribution of the subject can be determined in this step, specifically:
s401: the gender of the subjects in each group was counted.
S402: judging whether the proportion of the number of the male and the female in each group is between 0.8 and 1.25.
For example, if the number of males is 85 and the number of females is 108, the ratio of 85:108 is 0.78 and less than 0.8, so the predetermined distribution is not met; for another example, if the number of men and the number of women in the subject are 85 and 63, the ratio of 85 to 63 is 1.35 and greater than 1.25, and the predetermined distribution is not met.
In another possible embodiment, the BMI (Body Mass Index) distribution interval of the subject may be determined in this step, specifically:
s411: and counting the BMI indexes of the subjects in each group, and confirming the BMI interval.
And calculating the BMI index of each subject, judging the BMI interval of the subject in each group, and recording the corresponding rating. Classifying according to BMI index numerical range, wherein the BMI is smaller than 18.5, the BMI is smaller than 23 and is normal, and the BMI is larger than or equal to 23 and is overweight.
S412: and judging whether the proportion of people in different BMI index intervals in each group is between 0.8 and 1.25.
For example, if the number of lean subjects is 45 and the number of standard subjects is 95, the ratio of 45:95 is 0.47 and less than 0.8, so that the distribution is not in accordance with the preset distribution; for another example, if the standard population of the subject is 95 and the overweight population is 65, the ratio of 95:65 is 1.46 and greater than 1.25, and the predetermined distribution is not met.
S5: and generating personnel adjustment reminding information, and sending the personnel adjustment reminding information to an administrator terminal, so that an administrator adjusts the personnel groups according to the personnel adjustment reminding information.
The administrator can install corresponding application programs in terminals such as a mobile phone and the like, if certain physiological information does not accord with preset distribution, the physical examination service data platform can generate personnel adjustment reminding information, the personnel adjustment reminding information is sent to the administrator terminal through short messages or in-application messages, and the administrator is reminded to add, delete or carry out double-blind random grouping again on the subjects in the corresponding group, so that a group of subjects which accord with the expectation can be obtained.
After receiving the reminder and adjusting the population of the examinees in each group, the administrator should return to step S4 to determine the proportion of the number of the examinees in each section based on the physiological information of the examinees.
S6: first physical examination data of the subject is acquired, and second physical examination data of the subject after using the sample according to the group to which the subject belongs is acquired.
The embodiment of the invention can be applied to analyzing the influence of the samples of functional products such as health food, health food or cosmetics for improving the human body state on the physical state of the subject, wherein the acquired first physical examination data is the initial physical state of the subject, namely the physical state before the samples are used. The first physical examination data may specifically include various physical examination indexes such as height, weight, body fat ratio, blood pressure, blood oxygen, B-ultrasonic examination, electrocardiogram, and the like, and the category included in the physical examination indexes may be specifically determined according to actual needs.
After the subjects are assigned the sample for a period of time, they will be subjected to a second physical examination during which the subjects in the test group will adhere to the use of the sample, the subjects in the control group will use the placebo product, the subjects in the blank group will not use any product, and the subjects in the positive reference group will use other similarly efficacious products.
The second physical examination data should include physical examination indices that are consistent with the first physical examination data to facilitate comparison of the indices. In actual operation, various physical examination data are collected in the form of a table, including physical examination epidermis, check laboratory sheet, physical examination data, paste laboratory sheet, abdomen B-ultrasonic sheet, chest film, electrocardiogram and the like. In addition, each physical examination form needs to be checked according to a preset check standard, such as whether the form header information is consistent, whether the decimal point numbers are the same, whether a modification trace exists, and the like.
S7: and comparing the first physical examination data and the second physical examination data of the subjects, acquiring physical examination data difference, and acquiring sample effect data according to the physical examination data difference of the subjects of different groups.
The physical examination service data platform compares various indexes of each subject in two successive physical examinations to obtain the physical examination data difference of each subject. The influence effect of the sample on the human body state can be obtained through the physical examination data difference between the test group and the reference group (a control group, a blank group or a positive reference group).
And finally, integrating the various data, if additional materials exist, adding corresponding additional materials to generate a data mailing text, and archiving the data.
By adopting the subject data management method provided by the embodiment of the invention, the reasonability and objectivity of the subjects can be ensured by judging whether the proportion of the number of people of the physiological information in each interval accords with the preset distribution, so that the analysis of the physical examination data is more accurate.
Example two:
as shown in fig. 2, an embodiment of the present invention provides a physical examination data management system applied to a physical examination service data platform, the system including:
the acquisition module 1 is used for acquiring and storing the identity information and the physiological information of the testee.
And the setting module 2 is used for setting the target requirements of the physical examination items.
And the grouping module 3 is used for carrying out double-blind random grouping on the subjects meeting the target requirements of the physical examination item and carrying out later-stage adjustment.
And the judging module 4 is used for counting and judging whether the proportion of the number of the physiological information of the testees in each section in each group meets the preset distribution or not, and judging again after the grouping module adjusts.
And the reminding module 5 is used for generating personnel adjustment reminding information and sending the personnel adjustment reminding information to the administrator terminal when the judgment module judges that the personnel adjustment reminding information is not available, so that an administrator can adjust the personnel grouping according to the personnel adjustment reminding information.
The acquisition module 1 is further configured to acquire first physical examination data of the subject, and second physical examination data of the subject after using the sample according to the group to which the subject belongs.
And the comparison module 6 is used for comparing the first physical examination data and the second physical examination data of the subjects, acquiring the physical examination data difference, and acquiring the sample effect data according to the physical examination data difference of the subjects of different groups.
The subject data management system provided by the embodiment of the invention has the same technical characteristics as the subject data management method provided by the embodiment, so the same technical problems can be solved, and the same technical effects can be achieved.
Example three:
an embodiment of the present invention provides an electronic device, which includes a memory and a processor, where the memory stores a computer program that can be executed on the processor, and the processor implements the steps of the method provided in the first embodiment when executing the computer program.
The electronic device provided by the embodiment of the invention has the same technical characteristics as the subject data management method provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
In accordance with the above method, embodiments of the present invention also provide a computer readable storage medium storing machine executable instructions, which when invoked and executed by a processor, cause the processor to perform the steps of the above method.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
For another example, the division of the unit is only one division of logical functions, and there may be other divisions in actual implementation, and for another example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; and the modifications, changes or substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A subject data management method is applied to a physical examination service data platform, and comprises the following steps:
acquiring and storing identity information and physiological information of a subject;
setting target requirements of the physical examination items;
double-blind random grouping of subjects;
counting and judging whether the proportion of the number of the physiological information of the testees in each group in each section meets the preset distribution;
and if not, generating personnel adjustment reminding information, and sending the personnel adjustment reminding information to the administrator terminal, so that the administrator adjusts the personnel groups according to the personnel adjustment reminding information.
2. The method of claim 1, wherein the physiological information includes at least one of gender, age, allergies, medical history, and physical characteristics indicators.
3. The method of claim 2, wherein the step of counting and determining whether the proportion of the number of the physiological information of the subjects in each group in each section meets a preset distribution comprises:
counting the age of the subjects in each group;
and judging whether the proportion of the number of people in each age interval in each group accords with preset distribution.
4. The method of claim 3, wherein the preset profile is: the ratio of the age interval with the highest number of people to the age interval with the lowest number of people is less than 1.2.
5. The method of claim 3, wherein the age intervals include young, middle and old age intervals.
6. The method of claim 2, wherein the step of counting and determining whether the proportion of the number of the physiological information of the subjects in each group in each section meets a preset distribution comprises:
counting the sex of the subjects in each group;
judging whether the proportion of the number of the male and the female in each group is between 0.8 and 1.25.
7. The method of claim 2, wherein the step of counting and determining whether the proportion of the number of the physiological information of the subjects in each group in each section meets a preset distribution comprises:
counting BMI indicators of the subjects in each group;
and judging whether the proportion of people in different BMI index intervals in each group is between 0.8 and 1.25.
8. A subject data management system, applied to a physical examination service data platform, the system comprising:
the acquisition module is used for acquiring and storing the identity information and the physiological information of the testee;
the setting module is used for setting the target requirements of the physical examination items;
a grouping module for double-blind random grouping of subjects;
the judging module is used for counting and judging whether the proportion of the number of the physiological information of the testees in each group in each section meets the preset distribution;
the reminding module is used for generating personnel adjustment reminding information and sending the personnel adjustment reminding information to the administrator terminal when the judgment module judges that the personnel adjustment reminding information is not available, so that an administrator can adjust the personnel groups according to the personnel adjustment reminding information;
and the comparison module is used for comparing the first physical examination data and the second physical examination data of the subjects, acquiring the physical examination data difference, and acquiring the sample effect data according to the physical examination data difference of the subjects of different groups.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the steps of the method of any of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 7.
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| CN113782121A (en) * | 2021-08-06 | 2021-12-10 | 中国中医科学院中医药信息研究所 | Random grouping method, device, computer equipment and storage medium |
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2021
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