CN112151174A - User health information analysis method and system based on physical examination data - Google Patents
User health information analysis method and system based on physical examination data Download PDFInfo
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Abstract
The invention discloses a user health information analysis method and system based on physical examination data, which comprises the steps of collecting and sorting basic information of physical examination items, and writing the basic information into a database; associating with a user physical examination mechanism, acquiring user basic information, and performing data alignment; then acquiring a physical examination item reference value and a physical examination item result value, judging the data type and the null value, calculating to obtain a final result value of the physical examination item according to a calculation formula or directly acquiring the physical examination item result value from user basic information as the final result value, comparing the final result with the physical examination item reference value only, matching the abnormal result with clinical significance, and then designating personalized suggestions. The invention carries out data unified alignment processing on physical examination data of a user, establishes a complete and perfect physical examination data evaluation analysis database, carries out user health information analysis by combining an advanced physical examination data analysis scheme, and provides a set of reasonable and perfect data analysis scheme.
Description
Technical Field
The invention relates to a medical physical examination data analysis technology, in particular to a user health information analysis method and system based on physical examination data.
Background
With the development of the times and the progress of the society, people pay more and more attention to the health status of individuals, and physical examination becomes an emerging medical care service item. The health examination is used for examining the examinee by medical means and methods, understanding the health condition of the examinee, and diagnosing and treating behaviors of early disease detection and health hidden danger, and plays an important role in timely detecting physical defects and disease hidden dangers for people. Generally, most of the existing technologies related to medical physical examination data analysis select to repeatedly read and compare data in different hospitals and companies, and the existing technologies have the defects that data comparison and data analysis on physical examination data are very inconvenient, and meanwhile, the process of performing personalized physical examination analysis and generating a report for a certain user is also affected. The reason is that the platforms are independent of each other, the data management level is uneven, the data are scattered, joint statistical analysis is not suitable, and in addition, the data formats and the file forms provided by various organizations are not uniform.
Disclosure of Invention
The invention aims at the problems that: in the prior art, the physical examination data analysis process is independent in related platform, dispersed in data, non-uniform in form and format and inconvenient in personalized report generation. The invention adopts the data unified alignment processing aiming at the physical examination data of the user, establishes a complete and perfect physical examination data evaluation analysis database, and combines an advanced physical examination data analysis scheme to carry out the analysis of the health information of the user together, thereby solving the problems of independent platform, scattered data, non-unified form and format and inconvenient generation of personalized reports in the process of analyzing the physical examination data in the prior art.
In order to solve the technical problem, one embodiment of the present invention adopts the following technical solutions:
the invention provides a user health information analysis method based on physical examination data, which comprises the following steps:
collecting and sorting basic information of physical examination items, and writing the basic information into a database; the physical examination item basic information comprises a reference value of each physical examination item in clinic, a calculation formula of the physical examination item to be calculated and fields on which the formula depends;
associating a user physical examination mechanism, acquiring user basic information, and performing data alignment; the user basic information comprises physical examination item names and physical examination item result values of the users;
acquiring a physical examination item reference value through the basic information of the physical examination item, and acquiring a result value of the physical examination item through the basic information of the user; analyzing whether the data type of the result value is numerical type or character type; carrying out null value judgment on the result value of the physical examination items, returning null values if the judgment result is null values for the physical examination items with character-type result values, terminating the data analysis process of the physical examination items, and carrying out analysis of the next step based on the result value of the physical examination items acquired from the user basic information if the judgment result is non-null values; for the physical examination items with numerical values, if the judgment result is a null value, acquiring a calculation formula from the basic information of the physical examination items, when the acquisition of the calculation formula is successful, calculating by using a field dependent on the formula acquired from the basic information of the user, taking the calculation result as the result value of the physical examination items for analysis of the next step, if the acquisition of the calculation formula is unsuccessful, returning the null value, and terminating the data analysis process of the physical examination items; for the physical examination items with numerical values, if the judgment result is a non-null value, no calculation is carried out, and the analysis of the next step is carried out by using the physical examination item result values obtained from the user basic information;
step four, checking and matching the clinical meaning of the physical examination items by using the reference value of the physical examination items obtained in the step three and the final physical examination item result value;
and fifthly, personalized suggestion formulation of the physical examination items.
The basic information of the physical examination items also comprises names, units, clinical meanings, suggestions and reference indexes of the physical examination items; the physical examination items needing to be calculated comprise waist-hip ratio and BMI index.
The physical examination item basic information is subdivided according to a father item-son item, when the physical examination item basic information is written into a database, the physical examination item basic information is input according to son item information, a plurality of son items are classified into the same father item, and the son item information comprises the father item name and the son item basic information.
The operation method of the second step is as follows: the method comprises the steps of associating a plurality of physical examination mechanisms or platform apps of the same user to the same platform, obtaining user basic information from the associated physical examination mechanisms or platform apps, and screening and aligning all information, so that data information of any different physical examination mechanisms or platform apps is uniformly adapted to a data interface of the same platform.
The user basic information also comprises name, gender, age, past medical history and historical physical examination data; the acquired physical examination item names are subdivided according to parent items and child items, and all information is screened and aligned, so that data information of any different physical examination mechanisms or platform apps is uniformly adapted to a data interface of the same platform.
The checking and matching of the clinical meaning of the physical examination items in the fourth step means that when the final physical examination item result value obtained in the third step is numerical, the physical examination item result value is compared with the upper limit and the lower limit of the physical examination item reference value, and when the physical examination item result value is greater than the upper limit or less than the lower limit, the physical examination item result is judged to be abnormal; when the final physical examination item result value obtained in the third step is in a character type, comparing the physical examination item result value with a physical examination item reference value, and then inputting a corresponding character string, and when the input character string belongs to a result abnormality type character string, judging that the physical examination item result is abnormal; and finding out the corresponding clinical significance in the basic information of the physical examination items according to the physical examination item names and the result values with abnormal results.
And splicing the clinical meanings of all the physical examination items when the results are abnormal according to the father items, and adding personalized suggestions according to the basic information of the user and the prior medical history and the historical physical examination data of the user.
And aiming at the personalized suggestions, a cosine similarity calculation method is used, the text similarity of each sentence is calculated, the original personalized suggestion text is intelligently deduplicated, and then a personalized health analysis physical examination report of the user is generated and pushed to the user.
The invention also provides a system for analyzing the user health information based on the physical examination data, which comprises an information writing module, an association module, a calling module, a judgment module, a generation module and a pushing module; the information writing module is used for writing basic information of physical examination items, and the association module mainly completes the function of associating physical examination mechanisms or platform apps of users and performs data alignment; the calling module is connected with the association module to acquire user basic information, the information writing module is connected with the user basic information to acquire physical examination item basic information and transmit the physical examination item basic information to the judging module, the judging module is mainly used for finishing data type judgment, null value judgment, result value calculation and transmitting the result value to the generating module, the generating module is mainly used for finishing clinical significance matching, personalized suggestion formulation, physical examination report generation and transmission data generation and transmitting the result to the pushing module, and the pushing module is mainly used for finishing the function of pushing information to a user.
Compared with the prior art, the invention has at least the following beneficial effects:
the invention carries out data unified alignment processing on physical examination data of a user, establishes a complete and perfect physical examination data evaluation analysis database, carries out user health information analysis by combining an advanced physical examination data analysis scheme, and provides a set of reasonable and perfect data analysis scheme. The problems of independence of platforms, data dispersion, non-uniform form and format and inconvenience in generation of personalized reports in the physical examination data analysis process in the prior art are solved.
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FIG. 1 is a flow chart of the present invention.
FIG. 2 is a functional block diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 is a flowchart of the present patent application, and the specific implementation manner thereof is as follows:
the method comprises the following steps: collecting and sorting the basic information of the physical examination items, and writing the basic information into a database
The physical examination items are summarized, basic information fields such as names, units, clinical meanings, suggestions and reference indexes of the physical examination items are counted, collected and sorted, and data are written into a database, wherein calculation formulas are required to be collected and input for calculable items such as waist-hip ratio and BMI index. In this example, physical examination data of nearly 20 physical examination parents such as urine routine, blood fat, blood sugar, liver function, and the like are collected. The database will remain updated during maintenance in subsequent upgrades. Reasonably, when the data is put in storage, the data is input according to the child project information, wherein the child project comprises the name information of the parent project and the basic information of the project, so that the data is more flexible.
Step two: associating with the user physical examination mechanism, acquiring the user basic data, and performing data alignment
After the user login information is acquired in the step, the medical institution or platform app of the physical examination of the user is associated, and meanwhile, the basic information of the user, including sex, name, age, physical examination item data, past medical history and the like, is acquired. In the alignment process of this step, report numbers, ages, sexes, examination parent-child detailed items, summary suggestions and a flag bit field of users in the data source are uniformly called.
Step three: and judging and acquiring a physical examination item reference value, a data type, a null value and an item calculation formula by using a physical examination data analysis scheme.
1. And (5) judging a reference value.
For example, when analyzing blood uric acid of a user, the reference value of the blood uric acid item is defined by the gender and age of the user, so that matching is performed in the database according to the extracted user information, and the correct reference value of the user is returned. If the age and gender data are missing and cannot be matched with the reference values correctly, the step returns a null value, and the item physical examination data analysis process is terminated.
2. Data type determination
When analyzing the user's occult blood data, the result values of the occult blood items are ' +++ ', ' + - ', etc., and are character type; the resulting value of the basal metabolic rate term is numerical. If the physical examination item is a numeric result value, the following steps 3 and 4 are required to be continued, and if the physical examination item is a character type, the step four clinical meaning matching is directly performed.
3. Item calculation formula determination
The calculation item is a item value (for example, the waist-hip ratio can be calculated according to the waist-hip circumference and the hip circumference) which can be calculated according to the basic information of the user, and the condition for judging the calculation item is whether the formula field in the item in the database is empty or not. For example, when analyzing a user time capacity item, the result value of the item has a formula, which represents that the item can be calculated according to the dependent item to obtain the result. The result obtained in this step is the value of the formula field of the item.
4. Null determination
After the above steps are determined, the null value of the physical examination data of the user needs to be determined.
Firstly, acquiring result values of physical examination items of a user, such as a urine occult blood item and a blood fat item of the user, wherein the data types of the result values are character types or numerical types and are not calculation items; if the obtained user result value is null, the item judges that the user data is missing, the null value is returned in the step, and the analysis process of the physical examination item data of the user is terminated.
For example, analyzing the BMI data of the user, if the BMI result is empty, but the BMI result is judged as a calculation item, acquiring a calculation dependent item of the BMI, if the BMI dependent item is height and weight, if the height and weight acquisition fails, returning an empty value to the step, and terminating the analysis process of the physical examination item data of the user; if the acquisition is successful, the height and the weight are used for calculation, and the calculation result is used as the result value of the physical examination item of the user.
If the result value is not a null value and is a calculation item, no calculation is performed, and the analysis of the next step is performed based on the user basic information acquired by the interface.
Step four: checking and matching clinical significance of project by utilizing physical examination data analysis scheme
The data of the database clinical meaning field comprises various abnormal conditions, abnormal results and clinical suggestions of the abnormal conditions. For example, analyzing the BMI data of the user, monitoring whether the BMI index falls between two values by using the maximum value and the minimum value of the reference value data range obtained in the third step, wherein the BMI index is normal in the reference value data range and is clinically abnormal not in the reference value data range, if there is a matched abnormality, the abnormality is a physical examination result of the user, and if there is no matched abnormality, the physical examination result of the user is normal.
Step five: personalized suggestion formulation of physical examination items
1. Clinical advice generation
Reasonably, the clinical meaning of each abnormal physical examination item can be obtained in the fourth step, and all abnormal clinical suggestions are spliced according to the parent items.
2. Personalized advice generation
And according to the basic information of the user obtained in the step two, combining the past medical history and the historical physical examination data of the user, and then adding personalized suggestions. If the BMI index of the user is low all the year round, the user is advised to keep reasonable daily work and rest and diet rules, and if abnormity is found, the user needs to seek medical advice in time.
3. Intelligent deduplication
Aiming at the whole suggestion, a cosine similarity calculation method is used, and the original personalized suggestion text is intelligently deduplicated by calculating the text similarity of each sentence, so that the suggestion is more concise and understandable.
Step six: health analysis physical examination report generation
And generating a personalized health analysis physical examination report of the user according to the results of the first five steps, and pushing the report to the user.
As shown in fig. 2, the information writing module is used to write basic information of physical examination items, and the association module mainly completes functions of associating physical examination mechanisms of users or platform apps and performs data alignment; the calling module is connected with the association module to acquire user basic information, the information writing module is connected with the user basic information to acquire physical examination item basic information and transmit the physical examination item basic information to the judging module, the judging module is mainly used for finishing data type judgment, null value judgment, result value calculation and transmitting the result value to the generating module, the generating module is mainly used for finishing clinical significance matching, personalized suggestion formulation, physical examination report generation and transmission data generation and transmitting the result to the pushing module, and the pushing module is mainly used for finishing the function of pushing information to a user.
Although the invention has been described herein with reference to illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More specifically, various variations and modifications may be made to the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure herein. In addition to variations and modifications in the component parts and/or arrangements, other uses will also be apparent to those skilled in the art.
Claims (9)
1. A user health information analysis method based on physical examination data is characterized by comprising the following steps:
collecting and sorting basic information of physical examination items, and writing the basic information into a database; the physical examination item basic information comprises a reference value of each physical examination item in clinic, a calculation formula of the physical examination item to be calculated and fields on which the formula depends;
associating a user physical examination mechanism, acquiring user basic information, and performing data alignment; the user basic information comprises physical examination item names and physical examination item result values of the users;
acquiring a physical examination item reference value through the basic information of the physical examination item, and acquiring a result value of the physical examination item through the basic information of the user; analyzing whether the data type of the result value is numerical type or character type; carrying out null value judgment on the result value of the physical examination items, returning null values if the judgment result is null values for the physical examination items with character-type result values, terminating the data analysis process of the physical examination items, and carrying out analysis of the next step based on the result value of the physical examination items acquired from the user basic information if the judgment result is non-null values; for the physical examination items with numerical values, if the judgment result is a null value, acquiring a calculation formula from the basic information of the physical examination items, when the acquisition of the calculation formula is successful, calculating by using a field dependent on the formula acquired from the basic information of the user, taking the calculation result as the result value of the physical examination items for analysis of the next step, if the acquisition of the calculation formula is unsuccessful, returning the null value, and terminating the data analysis process of the physical examination items; for the physical examination items with numerical values, if the judgment result is a non-null value, no calculation is carried out, and the analysis of the next step is carried out by using the physical examination item result values obtained from the user basic information;
step four, checking and matching the clinical meaning of the physical examination items by using the reference value of the physical examination items obtained in the step three and the final physical examination item result value;
and fifthly, personalized suggestion formulation of the physical examination items.
2. The method of claim 1, wherein the basic information of physical examination items further comprises names, units, clinical meanings, suggestions, and reference indicators of physical examination items; the physical examination items needing to be calculated comprise waist-hip ratio and BMI index.
3. The method of analyzing health information of users based on physical examination data as claimed in claim 2, wherein the basic information of the physical examination items is subdivided according to parent items-child items, when the basic information of the physical examination items is written into the database, the basic information is entered according to child item information, a plurality of child items are classified into the same parent item, and the child item information includes the name of the parent item and the basic information of the child item.
4. The method for analyzing health information of a user based on physical examination data as claimed in claim 3, wherein the operation method of the second step is: the method comprises the steps of associating a plurality of physical examination mechanisms or platform apps of the same user to the same platform, obtaining user basic information from the associated physical examination mechanisms or platform apps, and screening and aligning all information, so that data information of any different physical examination mechanisms or platform apps is uniformly adapted to a data interface of the same platform.
5. The method of claim 4, wherein the basic information of the user further comprises name, gender, age, past medical history, and historical physical examination data; the acquired physical examination item names are subdivided according to parent items and child items, and all information is screened and aligned, so that data information of any different physical examination mechanisms or platform apps is uniformly adapted to a data interface of the same platform.
6. The method of analyzing health information of users based on physical examination data as claimed in claim 1, wherein the checking and matching of clinical meaning of the physical examination items in the fourth step means that when the final physical examination item result value obtained in the third step is numerical, the physical examination item result value is compared with the upper limit and the lower limit of the physical examination item reference value, and when the physical examination item result value is greater than the upper limit or less than the lower limit, it is determined that the physical examination item result is abnormal; when the final physical examination item result value obtained in the third step is in a character type, comparing the physical examination item result value with a physical examination item reference value, and then inputting a corresponding character string, and when the input character string belongs to a result abnormality type character string, judging that the physical examination item result is abnormal; and finding out the corresponding clinical significance in the basic information of the physical examination items according to the physical examination item names and the result values with abnormal results.
7. The method of claim 6, wherein the clinical meanings of all physical examination items in case of abnormal results are combined according to parents, and personalized advice is added according to the basic information of the user in combination with the past medical history and the historical physical examination data of the user.
8. The method of claim 7, wherein a cosine similarity calculation method is used for personalized advice, the text similarity of each sentence is calculated, the original personalized advice text is intelligently deduplicated, and then a user personalized health analysis physical examination report is generated and pushed to the user.
9. A user health information analysis system based on physical examination data is characterized by comprising an information writing module, an association module, a calling module, a judgment module, a generation module and a pushing module; the information writing module is used for writing basic information of physical examination items, and the association module mainly completes the function of associating physical examination mechanisms or platform apps of users and performs data alignment; the calling module is connected with the association module to acquire user basic information, the information writing module is connected with the user basic information to acquire physical examination item basic information and transmit the physical examination item basic information to the judging module, the judging module is mainly used for finishing data type judgment, null value judgment, result value calculation and transmitting the result value to the generating module, the generating module is mainly used for finishing clinical significance matching, personalized suggestion formulation, physical examination report generation and transmission data generation and transmitting the result to the pushing module, and the pushing module is mainly used for finishing the function of pushing information to a user.
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| CN117155402A (en) * | 2023-10-31 | 2023-12-01 | 山东大数据医疗科技有限公司 | Public health intelligent physical examination service system based on RPA technology |
| CN117894467A (en) * | 2024-03-15 | 2024-04-16 | 小时教育科技(福建)有限公司 | AI-based body measurement multidimensional data analysis method and system |
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