CN117573727A - Practitioner health physical examination information retrieval system - Google Patents
Practitioner health physical examination information retrieval system Download PDFInfo
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- 238000007689 inspection Methods 0.000 claims description 8
- 238000012790 confirmation Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 4
- 230000003908 liver function Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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- G—PHYSICS
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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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
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Abstract
The invention discloses a health physical examination information retrieval system for a practitioner, which relates to the technical field of information retrieval, and solves the problems that an original retrieval mode can only confirm retrieval items and cannot extract and display physical examination information related to the retrieval items.
Description
Technical Field
The invention relates to the technical field of information retrieval, in particular to a health physical examination information retrieval system for a practitioner.
Background
Health physical examination information refers to information obtained by evaluating and monitoring the health condition of an individual through medical examination and evaluation; such information may include physical metrics, disease risk assessment, lifestyle advice, and the like.
The application CN115668175a provides an information retrieval system capable of performing high-speed retrieval even when used in common in a plurality of areas. The information retrieval system is provided with: a database storing a plurality of information that is text retrievable; an inquiry sentence receiving unit for receiving an inquiry sentence in a natural language format; an input search keyword extraction unit for extracting an input search keyword from an inquiry sentence; a search execution unit that executes a search process on the database using the input search keyword and a keyword related to the input search keyword; a local management device for storing the data of the region in a local database; and an information management device for performing character extraction processing and conversion of a file format corresponding to the size of the data stored in the local database, storing the data as data for storage in the temporary storage unit, and outputting the data for storage to the database.
When searching and extracting health physical examination information, the corresponding physical examination information is generally directly extracted from the data based on the search item appointed by the search personnel and displayed, but the search mode can only confirm the search item and can not extract and display the physical examination information related to the search item, so that the comprehensiveness of the search process is improved, and the search personnel are inconvenient to compare the data plates.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a health physical examination information retrieval system for a practitioner, which solves the problems that an original retrieval mode can only confirm retrieval items thereof and physical examination information related to the retrieval items can not be extracted and displayed.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a practitioner health physical examination information retrieval system comprising:
the information retrieval terminal confirms the retrieval information generated by the client, extracts similar physical examination information from the storage database based on the confirmed retrieval information, and determines and displays the characteristic comparison items;
the information retrieval terminal comprises a retrieval information confirmation unit, an information extraction unit and a similar information binding unit;
the search information confirming unit confirms the search information generated by the client and marks the confirmed final search information as terminal search information, and the search information confirming unit comprises:
if the search information is a group, marking the search information as terminal search information;
if the search information is multiple groups, calibrating the generation time of the multiple groups of search information, selecting the group of search information with the last generation time from the calibrated multiple groups of generation time, and calibrating the group of search information as terminal search information;
the information extraction unit directly extracts the storage information matched with the terminal retrieval information from the storage database based on the terminal retrieval information;
the similar information binding unit is used for extracting physical examination information similar to the stored information from the stored database based on the matched stored information, carrying out information screening on a plurality of groups of extracted physical examination information, locking the optimal characteristic comparison item, and displaying the optimal characteristic comparison item in the client, and comprises the following steps:
calibrating the matched storage information as basic information, and confirming the numerical parameters of the basic information:
if the numerical parameters are in a group, extracting physical examination information which is consistent with the basic information and belongs to different physical examination personnel from a storage database, and calibrating the numerical parameters of a plurality of different physical examination information as physical examination parameters;
if the numerical parameters and the physical examination parameters are single parameters, sequentially confirming the calibration values between different physical examination parameters and the numerical parameters, wherein the calibration values are = |physical examination parameters-numerical difference|, and absolute value processing is needed to ensure the difference between the numerical values;
if the numerical parameters and the physical examination parameters are interval parameters, sequentially confirming the coincidence degree of the interval parameters, wherein the coincidence degree is the occupation ratio of the coincidence parameters of two intervals to the numerical parameters, and the method comprises the following steps: calibration value = 1-ratio, confirm its calibration value corresponding to physical examination parameter;
based on the numerical value of the calibration value, ten groups of body inspection parameters with the smallest numerical value are selected, the ten groups of body inspection parameters are calibrated to be items to be determined, the large categories to which the ten groups of body inspection parameters belong are determined based on the items to be determined and are calibrated to be tables to be determined, the large categories to which the basic information belongs are calibrated to be basic tables, the same inspection items of the basic tables and the tables to be determined are used for determining the calibration values in the same mode, the determined groups of calibration values are subjected to mean value processing, the calibration mean value of the corresponding tables to be determined is determined, three groups of tables to be determined with smaller numerical values are selected based on the ten groups of calibration mean values, and are calibrated to be characteristic comparison items of the basic information and displayed in a client.
Preferably, the similar information binding unit locks the optimal feature alignment item further including:
calibrating the matched storage information as basic information, and confirming the numerical parameters of the basic information:
if a plurality of groups of numerical parameters exist, confirming whether the plurality of groups of numerical parameters belong to the same belonging large category:
if the two classes belong to the same class, calibrating the class of a plurality of groups of numerical parameters as a basic table, extracting fifty groups of tables to be determined of the same type from a storage database, determining calibration values of the basic table in the same manner as the checking items of the tables to be determined, carrying out mean value processing on the determined calibration values of the groups, determining the calibration mean value of the corresponding tables to be determined, selecting three groups of tables to be determined with smaller numerical values based on the calibration mean values of the groups, calibrating the three groups of tables to be determined as characteristic comparison items of the basic information, and displaying the characteristic comparison items in a client;
if the characteristics of the characteristics are not classified into the same category, the characteristic comparison item is not determined.
Preferably, the system further comprises a record analysis end, wherein the record analysis end comprises a feature identification unit and a feature generation unit;
the feature recognition unit defines a group of monitoring periods, and when the search times of the corresponding user in the monitoring periods exceeds five groups, the search records in the five groups of search processes are directly obtained, and similar features of the search records are determined from the five groups of search records;
the feature recognition unit determines similar features thereof in a manner comprising:
determining search items contained in the search records from the five groups of search records, determining whether the same search items exist or not, if so, calibrating the search items as undetermined features, and if not, not calibrating the search items;
recording the total times of occurrence of the same undetermined features, if the total times are more than or equal to 4, calibrating the undetermined features as retrieval features, and transmitting the calibrated retrieval features into a feature generation unit;
the feature generation unit generates a retrieval feature sequence of a corresponding client according to the sequence of the calibrated retrieval features, and when the corresponding client performs retrieval again after the retrieval feature sequence is generated, the retrieval process is directly determined based on the retrieval feature sequence, and the subsequent retrieval items are directly locked:
if the result is correct, no processing is performed;
if the result is incorrect, the monitoring period is redetermined, and the retrieval characteristic sequence is redetermined.
The invention provides a health physical examination information retrieval system for a practitioner. Compared with the prior art, the method has the following beneficial effects:
according to the invention, when information retrieval is carried out, basic information retrieved by the user is preferentially confirmed, information related to other personnel is searched from a database based on the basic information, in the retrieval process, the information with smaller difference of calibration values is preliminarily confirmed, so that similar characteristics are locked, the total table of the user is confirmed based on the similar characteristics, the closest physical examination information table is confirmed based on the difference of the calibration values between the total table of the user and the table, the information retrieval is more comprehensive, the display effect is better, the related item with the matching relation is searched based on the confirmed retrieval item, and a numerical comparison is carried out for the user based on the corresponding related item, so that whether the basic information retrieved by the user has deviation problem is confirmed, and countermeasures are timely made, so that the comprehensiveness of the information retrieval process is improved;
aiming at the searching process, the searching characteristics of the corresponding user are generated, and based on the corresponding searching characteristics, part of searching steps can be omitted to directly generate the corresponding searching items, so that the searching time can be omitted fully, the searching efficiency is improved, and the corresponding physical examination information of different people can be confirmed quickly.
Drawings
FIG. 1 is a schematic diagram of a principal frame of the present invention;
FIG. 2 is a flow chart of a method for determining similar characteristics according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present application provides a health physical examination information retrieval system for a practitioner, including an information retrieval end, a database, a client and a record analysis end;
the information retrieval terminal comprises a retrieval information confirmation unit, an information extraction unit and a similar information binding unit, and the retrieval information confirmation unit, the information extraction unit and the similar information binding unit are electrically connected in sequence from an output node to an input node;
confirming the search information generated by the client, extracting similar physical examination information from a storage database based on the confirmed search information, and determining and displaying the characteristic comparison items;
the record analysis end comprises a feature identification unit and a feature generation unit;
and a search information confirmation unit inside the information search terminal for confirming the search information generated by the client, wherein the search information comprises one group or possibly multiple groups, the confirmed final search information is marked as terminal search information, the terminal search information is transmitted into the information extraction unit, and the marked terminal search information comprises:
if the search information is a group, marking the search information as terminal search information;
if the search information is multiple groups, calibrating the generation time of the multiple groups of search information, selecting the group of search information with the last generation time from the calibrated multiple groups of generation time, and calibrating the group of search information as terminal search information;
examples: in the information retrieval process, the retrieval personnel performs information retrieval and inquiry based on health examination items of the personnel, but in the inquiry process, the retrieval personnel has the condition of multiple retrieval, so in order to confirm the final feedback item, namely the retrieval information required by the retrieval personnel, in order to confirm the finally confirmed retrieval information, the final retrieval item is required to be confirmed, and the finally required information to be extracted is required to be confirmed.
The information extraction unit is used for directly extracting storage information matched with the terminal retrieval information from the storage database based on the terminal retrieval information and displaying the matched storage information through the client;
referring to fig. 2, the similar information binding unit re-extracts physical examination information similar to the stored information from the stored database based on the matched stored information, performs information screening on the extracted sets of physical examination information, locks the best feature comparison item, and displays the best feature comparison item in the client, wherein the specific sub-steps of performing information screening include:
calibrating the matched storage information as basic information, and confirming the numerical parameters of the basic information:
if there is a group of numerical parameters (possibly a certain parameter check index in a certain check list, for example, in the physical examination process, the liver function list comprises a corresponding fat index in the liver function list, and the numerical parameters at the moment are equivalent to the fat index), extracting physical examination information belonging to different physical examination personnel consistent with the basic information from a storage database, and calibrating the numerical parameters of a plurality of different physical examination information into physical examination parameters;
if the numerical parameters and the physical examination parameters are single parameters, sequentially confirming the calibration values between different physical examination parameters and the numerical parameters, wherein the calibration values are = |physical examination parameters-numerical difference|, and absolute value processing is needed to ensure the difference between the numerical values;
if the numerical parameter and the physical examination parameter are interval parameters, sequentially confirming the coincidence ratio of the interval parameters, wherein the coincidence ratio is the ratio of the coincidence parameters of two intervals to the current numerical parameter (namely, the coincidence ratio of the two intervals to the current numerical parameter), and adopting: calibration value = 1-ratio, confirm its calibration value corresponding to physical examination parameter;
based on the numerical value of the calibration value, ten groups of body detection parameters with the smallest numerical value are selected, the ten groups of body detection parameters are calibrated to be items to be determined, the large categories to which the items to be determined belong are determined based on the items to be determined, the large categories to which the items to be determined belong are calibrated to be tables to be determined (namely, the table equivalent to the table for checking the corresponding items, such as liver function), the large categories to which the basic information belongs are calibrated to be basic tables, the calibration values of the basic tables are determined in the same way as the examination items of the tables to be determined, the determined groups of calibration values are subjected to mean value processing, the calibration mean value of the corresponding tables to be determined is determined, three groups of tables to be determined with smaller numerical value are selected based on the ten groups of calibration mean values, and the three groups of tables to be determined are calibrated to be characteristic comparison items of the basic information and are displayed in a client;
if there are multiple groups of numerical parameters, confirming whether the multiple groups of numerical parameters all belong to the same belonging large category (namely the total table of corresponding items):
if the basic information is classified into the basic tables, the basic tables are extracted from the storage database, the checking items of the basic tables and the tables to be determined are the same, the calibration values of the basic tables are determined in the same mode, the determined calibration values of the basic tables are subjected to mean value processing, the calibration mean value of the corresponding tables to be determined is determined, three groups of tables with smaller values are selected based on the calibration mean values of the calibration values, the tables are calibrated into characteristic comparison items of the basic information and are displayed in the client, specifically, in order to enable the comprehensive display effect of information retrieval to be better, the association items with the corresponding matching relation are searched based on the determined retrieval items, and a user can conduct value comparison based on the corresponding association items, so that whether deviation problems exist in the basic information retrieved by the user or not is determined, and countermeasures are timely made, so that the comprehensiveness of the information retrieval process is improved;
if the feature comparison items do not belong to the same category, the feature comparison items are not determined (therefore, the situation may involve single check item indexes of a plurality of different summary tables, a plurality of different feature items are confirmed when feature item confirmation is carried out, and when the confirmed feature items are displayed, the corresponding feature items are too many, so that the corresponding search personnel cannot watch the corresponding too many feature items, and the necessity of determining the feature comparison items is not determined).
Example two
In the specific implementation process, compared with the first embodiment, the main difference is that the first embodiment mainly aims at analyzing the search records made by the same client and determining the search characteristics of the search records, so that the purpose of quick search is achieved, and the method is specifically executed by a record analysis end;
the method comprises the steps that a characteristic identification unit in a record analysis end limits a group of monitoring periods, when the search times of a corresponding user in the monitoring periods exceeds five groups, search records in the five groups of search processes are directly obtained, similar characteristics of the search records are determined from the five groups of search records, and the mode for determining the similar characteristics comprises the following steps:
determining search items contained in the search records from the five groups of search records, determining whether the same search items exist or not, if so, calibrating the search items as undetermined features, and if not, not calibrating the search items;
recording the total times of occurrence of the same undetermined features, if the total times are more than or equal to 4, calibrating the undetermined features as retrieval features, and transmitting the calibrated retrieval features into a feature generation unit.
The characteristic generating unit generates a retrieval characteristic sequence of a corresponding client according to the sequence of the calibrated retrieval characteristics based on the calibrated retrieval characteristics, when the corresponding client retrieves again after the retrieval characteristic sequence is generated, the retrieval process is directly determined based on the retrieval characteristic sequence, the subsequent retrieval item is directly locked, whether the retrieval item is accurate or not is determined by the client, if not, the monitoring period is redetermined, the retrieval characteristic sequence is redetermined, and if so, the retrieval item is directly output.
Specifically, the information retrieval system aims at health physical examination information of a practitioner, when the health physical examination information of a certain group of physical examination information is retrieved, the same physical examination information of other subsequent persons needs to be retrieved, if the retrieval process needs to be repeatedly executed each time, the required retrieval items can be determined, the retrieval time is too long, if the retrieval process is aimed at generating the retrieval characteristics of the corresponding user, based on the corresponding retrieval characteristics, part of retrieval steps can be omitted, the corresponding retrieval items can be directly generated, so that the retrieval time can be fully omitted, the retrieval efficiency can be improved, and the corresponding physical examination information of different persons can be rapidly confirmed.
Example III
This embodiment includes all of the implementations of the two sets of embodiments described above.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. A medical health examination information retrieval system for a practitioner, comprising:
the information retrieval terminal confirms the retrieval information generated by the client, extracts similar physical examination information from the storage database based on the confirmed retrieval information, and determines and displays the characteristic comparison items;
the information retrieval terminal comprises a retrieval information confirmation unit, an information extraction unit and a similar information binding unit;
the search information confirming unit confirms the search information generated by the client and marks the confirmed final search information as terminal search information;
the information extraction unit directly extracts the storage information matched with the terminal retrieval information from the storage database based on the terminal retrieval information;
the similar information binding unit is used for extracting physical examination information similar to the stored information from the stored database based on the matched stored information, carrying out information screening on a plurality of groups of extracted physical examination information, locking the optimal characteristic comparison item, and displaying the optimal characteristic comparison item in the client, and comprises the following steps:
calibrating the matched storage information as basic information, and confirming the numerical parameters of the basic information:
if the numerical parameters are in a group, extracting physical examination parameters from a storage database;
if the numerical parameters and the physical examination parameters are single parameters, sequentially confirming the calibration values between different physical examination parameters and the numerical parameters, wherein the calibration values are = |physical examination parameters-numerical difference|;
selecting ten groups of body inspection parameters with minimum calibration values, calibrating the ten groups of body inspection parameters as items to be determined, determining a table to be determined based on the items to be determined, acquiring the calibration values of inspection items with the same basic table as the table to be determined, determining the calibration average value of the corresponding table to be determined, selecting three groups of tables to be determined with smaller values, calibrating the three groups of tables to be determined as characteristic comparison items of the basic information, and displaying the characteristic comparison items in a client;
if the numerical parameters and the physical examination parameters are interval parameters, sequentially confirming the occupation ratio of the interval parameters, and confirming the calibration value of the corresponding physical examination parameters according to the calibration value = 1-occupation ratio;
confirming numerical parameters of basic information:
if a plurality of groups of numerical parameters exist, confirming whether the plurality of groups of numerical parameters belong to the same belonging large category:
if the two tables belong to the same category, the category of the numerical parameter is calibrated as a basic table, fifty groups of tables to be determined of the same type are extracted from a storage database, calibration values of inspection items of the basic table and the tables to be determined are obtained, calibration average values of the corresponding tables to be determined are determined, the table to be determined with smaller calibration values is selected, and the table to be determined is used as a characteristic comparison item of the basic information to be displayed in a client;
if the characteristics of the characteristics are not classified into the same category, the characteristic comparison item is not determined.
2. The system for retrieving information about health physical examination of a practitioner according to claim 1, wherein said retrieving information confirming unit, calibrating the terminal retrieving information, comprises:
if the search information is a group, marking the search information as terminal search information;
if the search information is multiple groups, calibrating the generation time of the multiple groups of search information, selecting the last group of search information from the calibrated multiple groups of generation time, and calibrating the last group of search information as terminal search information.
3. The medical staff health examination information retrieval system as claimed in claim 1, further comprising a record analysis end, wherein the record analysis end comprises a feature recognition unit and a feature generation unit;
and the characteristic recognition unit is used for limiting a group of monitoring periods, and directly acquiring search records in the five groups of search processes when the search times of the corresponding user in the monitoring periods exceed five groups, and determining similar characteristics from the five groups of search records.
4. The medical practitioner health examination information retrieval system of claim 1, wherein the feature recognition unit determines the manner in which similar features thereof are determined comprises:
determining search items contained in the search records from the five groups of search records, determining whether the same search items exist or not, if so, calibrating the search items as undetermined features, and if not, not calibrating the search items;
recording the total times of occurrence of the same undetermined features, if the total times are more than or equal to 4, calibrating the undetermined features as retrieval features, and transmitting the calibrated retrieval features into a feature generation unit.
5. The system according to claim 4, wherein the feature generating unit generates a search feature sequence of the corresponding client according to the sequence of the search features based on the calibrated search features, and when the corresponding client performs the search again after the search feature sequence is generated, determines the search process directly based on the search feature sequence, and directly locks the subsequent search term.
6. The system for retrieving information about health physical examination of a practitioner according to claim 5, wherein the feature generation unit is configured to feedback the result of the retrieval item based on the client:
if the result is correct, no processing is performed;
if the result is incorrect, the monitoring period is redetermined, and the retrieval characteristic sequence is redetermined.
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