CN113628703B - Professional health record management method, system and network measurement server - Google Patents
Professional health record management method, system and network measurement server Download PDFInfo
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- 230000036541 health Effects 0.000 title claims abstract description 199
- 238000007726 management method Methods 0.000 title claims abstract description 34
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- 230000005183 environmental health Effects 0.000 claims abstract description 33
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- 230000000875 corresponding effect Effects 0.000 description 36
- 238000012986 modification Methods 0.000 description 11
- 230000004048 modification Effects 0.000 description 11
- 238000013500 data storage Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 238000001514 detection method Methods 0.000 description 4
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- 238000012549 training Methods 0.000 description 1
- 238000009966 trimming Methods 0.000 description 1
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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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- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
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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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The invention belongs to the field of automatic file management, and provides a professional health file management method, a professional health file management system and a network side server for the problem of low enterprise safety promotion aiming at single enterprise file management function; the method comprises the steps of obtaining employee health files; extracting corresponding information in the employee health file according to preset keywords, and storing the corresponding information after being arranged according to employee working time information by taking basic employee information as a reference; searching all employee health files in a preset area range, judging an environmental health index in the preset area range according to the searched employee health files, outputting a correction instruction containing the environmental health index when the environmental health index exceeds a preset threshold value, and timing to obtain correction time information; outputting a correction alarm instruction when the correction time information exceeds a preset duration; and judging whether the working environment needs to be modified for the region according to the staff health diagnosis information in the health files of staff in the same region.
Description
Technical Field
The invention belongs to the field of automatic file management, and particularly relates to a professional health file management method, a professional health file management system and a network side server.
Background
The employee profiles are registered for each employee that is required to enter the company, and typically include employee occupational health profiles. While countries require occupational health medical reports to be permanently kept. Therefore, the employee files of the enterprise are usually not removable, and as the enterprise operates, the employee files of the enterprise will be more and more, and as the working age of each employee increases, the content of the corresponding employee file will also increase, which makes a request for employee file management. At present, enterprises usually adopt paper documents as information carriers of original materials, and along with the operation of the enterprises and the alternation of enterprise personnel, the paper documents are gradually piled up, and staff file management gradually has the problems of large manpower consumption, space redundancy and difficult detection of data errors.
In this way, part of enterprises adopt paperless office work, workers read/scan data in paper documents by themselves, correspondingly upload the data into digital documents, and then archive the digital documents according to job numbers, thereby solving the problems of high maintenance cost and large occupied space of the paper documents. However, as the business scale of enterprises increases, the digital documents in enterprises increase, and the cost of storing employee files increases, so that many large-scale enterprises need to consider how to fully utilize employee files stored by enterprises to ensure the business of the enterprises. For an entity enterprise, the safety specification of a factory is an inadvisable content, and it is desirable for numerous enterprises to discover faults of the factory in time.
Disclosure of Invention
The invention provides a professional health file management method, a professional health file management system and a network side server side, which solve the problems of single enterprise file management function and low enterprise safety promotion in the prior art.
The basic scheme of the invention is as follows: the professional health record management method is characterized by comprising the following steps:
acquiring employee health files; the staff health file comprises at least one item of staff basic information, staff station information, staff working time information, staff working position information, staff past medical history, staff hazard contact history, staff health diagnosis information and diagnosis time information corresponding to staff health diagnosis;
extracting corresponding information in the employee health file according to preset keywords, and storing the corresponding information after being arranged according to employee working time information by taking basic employee information as a reference;
searching all employee health files in a preset area range, judging an environmental health index in the preset area range according to the searched employee health files, outputting a correction instruction containing the environmental health index when the environmental health index exceeds a preset threshold value, and timing to obtain correction time information;
and outputting a correction alarm instruction when the correction time information exceeds a preset duration.
The basic scheme has the beneficial effects that: in the scheme, information in the employee health file is extracted according to keywords, and then the information is correlated with each other to form a formed information stream, and the formed information stream is stored in sequence; in the process, the situation that data are disturbed when a large amount of data are gushed into the data storage equipment is avoided, and the stability of the data in the data storage period is ensured.
According to the scheme, the health degree influence of all staff affected by the working environment in the same area is judged according to staff health diagnosis information and the like in the health files of all staff in the same area, the health degree influence is changed into an environment health index, the quality of the working environment in the corresponding area is deduced, and whether the working environment in the corresponding area needs to be modified or not is judged.
After the rectification instruction is sent out, limiting the secondary environment rectification detection in the rectification time information, otherwise, alarming; the scheme realizes the follow-up tracking of the completion condition of the rectifying instruction and ensures the execution of the rectifying instruction.
Further, before searching all employee health records within the preset area, the method further comprises: and acquiring a preset area range input by a user.
Further, before searching all employee health records within the preset area, the method further comprises: the staff work position information in all the stored staff health files is tidied; acquiring reference area information; and arranging the reference area information with the staff work position information in the range according to the number of the staff work position information, and setting the reference area information as the preset area range according to the number of the staff work position information from more to less.
Further, before searching all employee health records within the preset area, the method further comprises: the staff work position information in all the stored staff health files is tidied; setting a plurality of reference areas according to staff work position information, wherein the distance between workpiece position information in the reference areas is smaller than the preset distance maximum value, and the common staff work position information does not exist between the reference areas; and respectively setting the number of the staff work position information from more to less as a preset area range.
Further, the determining the environmental health index within the preset area according to the searched employee health record includes: collecting employee health diagnosis information of the employee health files in the latest time period in the preset regional scope as a regional health diagnosis data set; and calculating the probability of staff health diagnosis information as occupational diseases occupying the whole regional health diagnosis data set, and taking the probability as an environmental health index.
Further, the method further comprises: according to staff station information in the staff health file, searching each occupational disease characteristic corresponding to the station; predicting the maximum time of staff occupational diseases according to the past medical history of staff, the harm contact history of staff and the staff health diagnosis information in the staff health file; and when the maximum time length of the occupational diseases of the staff reaches the standard time length, the guard adjustment alarm is carried out.
Further, the method further comprises: when the employee health diagnosis information in the employee health file is occupational disease, sending out reinspection alarm information containing basic employee information; and when the staff health file is acquired, canceling the transmission of the review alarm information consistent with the staff basic information in the staff file.
Further, before obtaining the employee health record, the method further comprises: acquiring connection application information sent by a user client; the connection application information comprises a connection secret key which is generated for the server; and verifying the validity of the connection secret key in the connection application information, and establishing communication connection between the user client and the server when the connection secret key is legal.
The invention also provides a professional health record management system, which comprises:
the signal receiving module is used for acquiring connection application information with a connection secret key sent by the user client; the method is also used for acquiring employee health files sent by the user client;
the verification module is used for verifying the validity of the connection secret key in the connection application information, and sending a communication legal signal to the arrangement module and the environment calculation module when the connection secret key is legal;
the storage module is used for storing preset keywords and storing the employee health files sent by the arrangement module;
the arrangement module is used for extracting corresponding information in the employee health files according to preset keywords, and sequentially sending the employee health files to the storage module after the corresponding information is arranged according to the employee work time information by taking the basic employee information as a reference;
the environment calculation module is used for searching all employee health files within a preset area range, judging an environment health index within the preset area range according to the searched employee health files, and sending the environment health index to the environment alarm module;
the environment judging module is used for sending an rectifying instruction containing the environment health index to the output module when the environment health index exceeds a preset threshold value, and sending an environment timing instruction to the timing module;
the output module is used for outputting the rectifying instruction containing the environmental health index sent by the environment judging module;
the timing module is used for starting according to the environment timing instruction sent by the environment judging module to obtain the correction time information, and sending a correction alarm instruction to the alarm module when the correction time information exceeds the preset duration;
and the alarm module is used for executing corresponding rectification alarm operation according to the rectification alarm instruction sent by the timing module and outputting the rectification alarm instruction through the output module.
The invention also provides a network side service end, which comprises:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the occupational health profile management method as set forth in any one of the preceding claims.
Drawings
FIG. 1 is a flowchart of a professional health record management method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a professional health record management system according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a network side server according to a third embodiment of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
for the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the following detailed description of the embodiments of the present invention will be given with reference to the accompanying drawings. However, those of ordinary skill in the art will understand that in various embodiments of the present invention, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the technical solutions claimed in the present application can be implemented without these technical details and with various changes and modifications based on the following embodiments.
First embodiment:
a first embodiment of the present invention provides a method for managing occupational health files, including:
acquiring employee health files; extracting corresponding information in the employee health file according to preset keywords, and storing the corresponding information after being arranged according to employee working time information by taking basic employee information as a reference; searching all employee health files in a preset area range, judging an environmental health index in the preset area range according to the searched employee health files, outputting a correction instruction containing the environmental health index when the environmental health index exceeds a preset threshold value, and timing to obtain correction time information; and outputting a correction alarm instruction when the correction time information exceeds a preset duration. The staff health file comprises at least one of staff basic information, staff station information, staff working time information, staff working position information, staff past medical history, staff hazard contact history, staff health diagnosis information and diagnosis time information corresponding to staff health diagnosis.
According to the scheme, information in the employee health file is extracted according to keywords, and then the information is correlated with each other to form a formed information stream, and the formed information stream is stored in sequence; in the process, the situation that data are disturbed when a large amount of data are gushed into the data storage equipment is avoided, and the stability of the data in the data storage period is ensured. According to staff health diagnosis information and the like in the health files of staff in the same area, the health degree influence of all staff influenced by the working environment in the area is judged to be an environment health index, and then the quality of the working environment in the corresponding area is deduced, and further whether the working environment in the corresponding area needs to be modified or not is judged. After the rectification instruction is sent out, limiting the secondary environment rectification detection in the rectification time information, otherwise, alarming; the scheme realizes the follow-up tracking of the completion condition of the rectifying instruction and ensures the execution of the rectifying instruction.
The implementation details of the professional health record management method of the present embodiment are specifically described below, and the following is only implementation details provided for convenience of understanding, but is not required to implement the present embodiment, and a specific flow of the present embodiment is shown in fig. 1, and the present embodiment is applied to a network side server.
S1, obtaining connection application information sent by a user client; the connection application information comprises a connection secret key which is generated for the network side server side.
Specifically, the connection secret key is generated by the network side server, and the user client side ensures that the network side server side can perform validity verification on the connection application information sent by the user client side by generating the connection application information with the connection secret key.
In some examples, the connection key is obtained by scanning a two-dimensional key code by a user client, the two-dimensional key code is generated by a network side server, the network side server also generates a standard key corresponding to the two-dimensional key code, and the standard key is used for verifying the validity of the connection key in a connection application sent by the user client by the network side server.
The corresponding secret key two-dimensional code and standard secret key generated by the network side server are stored in the network side server, and the secret key two-dimensional code is displayed after being generated for other user clients to scan and the like to obtain. The method for the user client to acquire the secret key two-dimensional code can be as follows: (1) After the network side server generates the secret key two-dimensional code and the standard secret key, the secret key two-dimensional code is directly sent to the user client side for application when the user client side and the network side server side establish communication connection; (2) After the network side server generates the secret key two-dimensional code and the standard secret key, the secret key two-dimensional code is displayed through display equipment such as a display screen and a projector, and information in the secret key two-dimensional code is read by a user client in a scanning mode so as to form connection application information; (3) After the network side server generates the secret key two-dimensional code and the standard secret key, the secret key two-dimensional code is output in a printing mode and the like and then distributed to a master of the authorized user client side, and the user client side scans the secret key two-dimensional code to obtain information in the secret key two-dimensional code so as to form connection application information.
Further, the network side server randomly generates a corresponding secret key two-dimensional code and a standard secret key. The two-dimensional key code and the standard key are two corresponding keys which are randomly generated at the same time; therefore, in implementation, the two-dimension codes of the secret keys acquired by different clients in different time periods may also be different. For example: the network side server randomly generates a pair of secret key two-dimensional codes and a standard secret key, the standard secret key is stored, and the secret key two-dimensional codes are directly displayed; after the preset time length, the network side server regenerates the new secret key two-dimensional code and the standard secret key, and covers the secret key two-dimensional code and the standard secret key which are obtained originally.
S2, verifying the validity of the connection secret key in the connection application information, and establishing communication connection between the user client and the network side server when the connection secret key is legal.
Specifically, after receiving the connection application information in step S1, the network side server performs validity verification on the connection key. Case 1: the connection key is distributed to the authorized user client by the network side server, so that the implementation of the step S2 is to directly verify whether the connection key is consistent with the connection key automatically generated by the network side server, if so, the connection key in the connection application information sent by the user client is legal, otherwise, the connection key is illegal. Case 2: the connection secret key is obtained by scanning the secret key two-dimensional code by the user client, so in the implementation of the two steps S2, the connection secret key in the connection application information sent by the user client is directly subjected to matching verification with the standard secret key in the service, if the connection secret key is matched with the standard secret key, the connection secret key is legal, and if the connection secret key is not matched with the standard secret key, the connection secret key is illegal.
And under the condition that the connection secret key is legal, establishing communication connection between the user client and the network side server corresponding to the connection secret key. The communication connection may be established by: (1) The network side server receives other information sent by the user client except the connection application information; (2) The network side server side sends a feedback signal to the user client side so that the user client side can send other information except the connection application information to the network side server side for the network side server side to receive.
S3, obtaining employee health files.
Specifically, the step is implemented after the communication connection between the client and the network side server is established after the step S2 is completed. The employee profile information is obtained through editing by a user, obtained through scanning after handwriting by the user, and the like. The network side server can receive the employee health files sent by the user client through the traditional internet, fax, wireless network and other modes. The staff health file comprises at least one of staff basic information, staff station information, staff working time information, staff working position information, staff past medical history, staff hazard contact history, staff health diagnosis information and diagnosis time information corresponding to staff health diagnosis.
Therefore, in the step S3, it is allowed that the plurality of health record contents of the same employee are divided into a plurality of times and uploaded in a segmented manner in different areas. For example, employee basic information aa, employee workstation information ab, employee working time information ac, employee working position information ad, employee past medical history bb, employee hazard contact history bc, employee health diagnosis information bd, and employee health diagnosis be of employee A are preset; when executing the step S3, the employee health record of "employee basic information aa, employee station information ab, employee working time information ac, and employee working position information ad" may be uploaded, and when executing the other step S3, "employee past medical history bb, employee hazard contact history bc, employee health diagnosis information bd, and employee health diagnosis be" may be also uploaded. Thus, information fusion can be performed through subsequent arrangement.
And S4, extracting corresponding information in the employee health file according to preset keywords, and storing the corresponding information after the corresponding information is arranged according to the employee working time information by taking the basic employee information as a reference.
Specifically, the preset keywords are stored by the network side server, the preset keywords in the employee profile information are read through image recognition, font recognition and the like, and then information corresponding to the preset keywords is found. For example, the preset keywords include "gender", "age", and the employee profile includes "gender female, age 27, and through … …", and then after the preset keywords are identified, the corresponding information "female" is found according to the keyword "gender", and the corresponding gender "27" is found according to the keyword "age".
After identification, the information in all employee health files is arranged, and the arrangement process is that employee file information with the same working time and the same basic employee information is integrated, firstly, the information is ordered preferentially according to the basic information, a plurality of employee file information with the same basic employee information is faced, and then the information is ordered according to the working time. And then sequentially sending the fused employee profile information to an information storage device of the network side server side according to the ordering order for storage. Storing in sequence; in the process, the situation that data are disturbed when a large amount of data are gushed into the data storage equipment is avoided, and the stability of the data in the data storage period is ensured.
And during storage, directly storing the newly added information into the residual space of the original storage.
In some examples, when the newly obtained employee information group is stored, data fusion is performed according to employee number information of the employee information group. For example, the storage of the network side server is divided into a plurality of units such as a unit A and a unit B, each employee occupies one unit, employee a occupies a space A unit, employee B occupies a space B unit, a new employee information group which is also employee a is stored in the unit A according to the employee information number of the employee information group, and meanwhile, the unchanged information of basic information (such as name and certificate number) is deleted when being fused so that only one information remains, and the trimming and deleting of the same basic information are realized, so that the memory occupied by the unit A is reduced.
In other examples, when the newly obtained employee information group is stored, the association between the new and old employee information groups is performed according to keywords pre-stored in employee number information and the like.
S5, searching all employee health files in a preset area range, and judging an environmental health index in the preset area range according to the searched employee health files.
Specifically, after the storage of the data storage device of the network side server in step S4 is completed, this step S5 is executed. Searching all employee health files of the employee working position within a preset area from storage equipment, and judging an environmental health index within the preset area according to the screened employee health files.
In the implementation process of step S5, the following preset area ranges are set:
firstly, before all employee health files in a preset area range are searched, the preset area range input by a user is obtained.
The preset area range is set as user input, namely, the preset area range can be set through an area defined by a user, and then the environmental health index is calculated through the staff health file in the preset area range, so that whether the preset area range needs to be modified or not is judged, an interactive function is provided, the participation degree of the user is improved, the setting freedom degree of the preset area is higher, and the user can conveniently specify the area according to own requirements.
Secondly, before all employee health files within a preset area range are searched, the employee work position information in all stored employee health files is tidied; acquiring reference area information; and arranging the reference area information with the staff work position information in the range according to the number of the staff work position information, and setting the reference area information as the preset area range according to the number of the staff work position information from more to less.
The reference area information is a preset standard and is usually set as the area positions of a plurality of factories; firstly, screening the reference area information, and ensuring that the screened reference area information has employee health files of employee working positions; and then sequencing according to the working positions of staff, and setting the working positions as a preset area range according to the sequence. The method for automatically setting the preset area range by taking the reference area information as a reference is higher in automation degree and more accurate in monitoring of each reference area.
Thirdly, before all employee health records within the preset area are searched, the method further comprises the steps of: the staff work position information in all the stored staff health files is tidied; setting a plurality of reference areas according to staff work position information, wherein the distance between workpiece position information in the reference areas is smaller than the preset distance maximum value, and the common staff work position information does not exist between the reference areas; and respectively setting the number of the staff work position information from more to less as a preset area range.
The reference area is set according to the distribution condition of the staff working position information, so that the pertinence of the staff health file is stronger while the automation is ensured.
In the implementation process of step S5, the determining the environmental health index within the preset area according to the searched employee health record includes: collecting employee health diagnosis information of the employee health files in the latest time period in the preset regional scope as a regional health diagnosis data set; and calculating the probability of staff health diagnosis information as occupational diseases occupying the whole regional health diagnosis data set, and taking the probability as an environmental health index.
Further, the regional health diagnosis data set is processed, and the employee health diagnosis information in the last time period and the employee health diagnosis information in the last second time period are compared, so that the set of employee health records with increased possibility of occupational disease induction is used as a dangerous employee set. And calculating the probability of the employee health files of the whole area of the employee health file station in the dangerous employee collection, and taking the probability as an environmental health index.
In the scheme, the situation that the user possibly has occupational disease inducing factors before or is treating occupational disease is considered, so that staff health files with more serious occupational disease conditions and greater occupational disease prevention risk are set as dangerous staff sets through the discussion of the conditions of the occupational disease inducing factors. And obtaining an environmental health index according to the condition that the illness state of the user is aggravated in the range of the preset area, and further judging whether the environment in the area is normal or not.
S6, outputting a correction instruction containing the environmental health index when the environmental health index exceeds a preset threshold value, and timing to obtain correction time information; and outputting a correction alarm instruction when the correction time information exceeds a preset duration.
Specifically, the preset threshold is set by a worker, and whether the working environment within the preset area range in S5 needs to be modified is determined according to the environmental health index. After the rectification instruction is sent out, limiting the secondary environment rectification detection in the rectification time information, otherwise, alarming; the scheme realizes the follow-up tracking of the completion condition of the rectifying instruction and ensures the execution of the rectifying instruction.
S7, according to staff station information in the staff health file, searching each occupational disease feature corresponding to the station; predicting the maximum time of staff occupational diseases according to the past medical history of staff, the harm contact history of staff and the staff health diagnosis information in the staff health file; and when the maximum time length of the occupational diseases of the staff reaches the standard time length, the guard adjustment alarm is carried out.
Specifically, predicting the trend of each index of the staff's body in a future time period according to the change of each index in the recent body health diagnosis information of the staff; the judging of occupational diseases is judged according to the indexes of the occupational diseases; by means of the trend of the various indexes of the staff in the future time period, the staff can reach the occupational disease index in the future time t, namely, the staff can acquire the occupational disease after continuing to work for t time at the current post and the current working position, and t is the maximum duration of the occupational disease of the staff. The standard time length in the step S7 is set by a user, and when t is smaller than or equal to the standard time length, a post adjustment alarm is carried out, so that the staff is reminded of timely post adjustment, and occupational diseases corresponding to the current post are avoided. Notably, the step of predicting the trend of each physical index of the staff in the future time period is implemented by training a staff deadline data set through a neural network model, wherein the staff deadline data set is each physical data of all staff under the influence of each factor in the past period.
S8, when the employee health diagnosis information in the employee health file is a occupational disease, sending out reinspection alarm information containing basic employee information; and when the staff health file is acquired, canceling the transmission of the review alarm information consistent with the staff basic information in the staff file.
Specifically, when detecting that an employee suffers from occupational disease, the system directly sends out review alarm information to inform relevant responsible personnel and the employee to review in time. And stopping sending the last reinspection alarm information when the next employee health record is stored. It is noted that when the review alarm information is notified, other alarms can be similarly performed by means of sending mails, short messages, voice files, etc. through the conventional communication network, or by means of making a call, through a wireless network, bluetooth, etc.
The above steps of the methods are divided, for clarity of description, and may be combined into one step or split into multiple steps when implemented, so long as they include the same logic relationship, and they are all within the protection scope of this patent; it is within the scope of this patent to add insignificant modifications to the algorithm or flow or introduce insignificant designs, but not to alter the core design of its algorithm and flow.
Second embodiment:
in a second embodiment of the present invention, there is provided a professional health record management system, as shown in fig. 2, including:
a signal receiving module 201, configured to obtain connection application information with a connection key sent by a user client; the method is also used for acquiring employee health files sent by the user client;
the verification module 202 is configured to verify validity of the connection key in the connection application information, and send a communication legal signal to the arrangement module 204 and the environment calculation module 205 when the connection key is legal;
the storage module 203 is configured to store preset keywords and store the employee health record sent by the arrangement module;
the arrangement module 204 is configured to extract corresponding information in the employee health record according to a preset keyword, arrange the corresponding information in accordance with employee working time information based on the basic employee information, and sequentially send the employee health record to the storage module 203;
the environment calculation module 205 is configured to find all employee health files within a preset area, determine an environment health index within the preset area according to the found employee health files, and send the environment health index to the environment alarm module;
the environment judging module 206 sends the modification instruction containing the environmental health index to the output module 207 and sends the environmental timing instruction to the timing module 208 when the environmental health index exceeds a preset threshold;
an output module 207, configured to output the modification instruction including the environmental health index sent by the environmental judgment module 206;
the timing module 208 is configured to start according to the environmental timing instruction sent by the environmental judging module 206, obtain the modification time information, and send a modification alarm instruction to the alarm module 209 when the modification time information exceeds a preset duration;
the alarm module 209 is configured to execute a corresponding modification alarm operation according to the modification alarm instruction sent by the timing module 208 and output the modification alarm instruction through the output module 207.
Further, the job health record management system further includes:
the staff occupational disease prediction module 210 searches each occupational disease feature corresponding to the work station according to staff work station information in the staff health file; predicting the maximum time of the staff occupational disease according to the past medical history of staff, the hazard contact history of staff and the staff health diagnosis information in the staff health file, and sending the maximum time of the staff occupational disease to the staff occupational disease judging module 211;
the staff occupational disease judging module 211 is configured to compare the maximum length of staff occupational disease sent by the staff occupational disease predicting module 210 with a preset standard length, and send a post-adjustment alarm instruction to the alarm module 209 when the maximum length of staff occupational disease reaches the standard length; when the maximum duration of the employee occupational disease is 0, sending reinspection alarm information containing basic information of the employee to an alarm module 209;
the alarm module 209 is further configured to execute a corresponding alarm operation for adjusting the post according to the alarm instruction for adjusting the post sent by the staff occupational disease judging module 211, and output the alarm instruction for adjusting the post through the output module 207; and is further configured to perform a corresponding review alarm operation according to the review alarm instruction sent by the employee occupational disease judging module 211, output the review alarm instruction through the output module 207, and cancel sending of the review alarm information in the output module 207 consistent with the employee basic information in the employee profile when the employee health profile is obtained. And if the maximum time of the occupational disease of the staff is 0, correspondingly judging that the staff has the occupational disease.
It is to be noted that this embodiment is a system example corresponding to the first embodiment, and can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and in order to reduce repetition, a detailed description is omitted here. Accordingly, the related art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that each module in this embodiment is a logic module, and in practical application, one logic unit may be one physical unit, or may be a part of one physical unit, or may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units that are not so close to solving the technical problem presented by the present invention are not introduced in the present embodiment, but this does not indicate that other units are not present in the present embodiment.
Third embodiment:
a third embodiment of the present invention provides a network-side server, as shown in fig. 3, including at least one processor 301; and a memory 302 communicatively coupled to the at least one processor 301; the memory 302 stores instructions executable by the at least one processor 301, and the instructions are executed by the at least one processor 301 to enable the at least one processor 301 to perform the professional health record management method.
Where the memory 302 and the processor 301 are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting the various circuits of the one or more processors 301 and the memory 302 together. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 301 is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 301.
The processor 301 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 302 may be used to store data used by processor 301 in performing operations.
The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (9)
1. The professional health record management method is characterized by comprising the following steps:
acquiring employee health files; the staff health file comprises at least one item of staff basic information, staff station information, staff working time information, staff working position information, staff past medical history, staff hazard contact history, staff health diagnosis information and diagnosis time information corresponding to staff health diagnosis;
extracting corresponding information in the employee health file according to preset keywords, and storing the corresponding information after being arranged according to employee working time information by taking basic employee information as a reference;
searching all employee health files in a preset area range, judging an environmental health index in the preset area range according to the searched employee health files, outputting a correction instruction containing the environmental health index when the environmental health index exceeds a preset threshold value, and timing to obtain correction time information;
the judging the environmental health index in the preset area range according to the searched employee health record comprises the following steps: processing the regional health diagnosis data set, comparing the employee health diagnosis information in the last time period with the employee health diagnosis information in the last second time period, taking the set of employee health files with increased possibility of inducing occupational diseases as a dangerous employee set, calculating the probability of the employee health files in the dangerous employee set accounting for the employee health files of the whole region, and taking the probability as an environmental health index;
outputting a correction alarm instruction when the correction time information exceeds a preset duration;
the method further comprises the steps of:
according to staff station information in the staff health file, searching each occupational disease characteristic corresponding to the station;
predicting the maximum time of staff occupational diseases through a neural network model according to the past medical history of staff, the harm contact history of staff and the staff health diagnosis information in the staff health file;
and when the maximum time length of the occupational diseases of the staff reaches the standard time length, the guard adjustment alarm is carried out.
2. The professional health record management method according to claim 1, wherein before finding all employee health records within a predetermined area, the method further comprises:
and acquiring a preset area range input by a user.
3. The professional health record management method according to claim 1, wherein before finding all employee health records within a predetermined area, the method further comprises:
the staff work position information in all the stored staff health files is tidied;
acquiring reference area information;
and arranging the reference area information with the staff work position information in the range according to the number of the staff work position information, and setting the reference area information as the preset area range according to the number of the staff work position information from more to less.
4. The professional health record management method and system according to claim 1, wherein before all employee health records within a predetermined area are found, the method further comprises:
the staff work position information in all the stored staff health files is tidied;
setting a plurality of reference areas according to staff work position information, wherein the distance between workpiece position information in the reference areas is smaller than the preset distance maximum value, and the common staff work position information does not exist between the reference areas; and respectively setting the number of the staff work position information from more to less as a preset area range.
5. The professional health record management method according to claim 1, wherein the determining the environmental health index in the preset area according to the searched employee health record includes:
collecting employee health diagnosis information of the employee health files in the latest time period in the preset regional scope as a regional health diagnosis data set;
and calculating the probability of staff health diagnosis information as occupational diseases occupying the whole regional health diagnosis data set, and taking the probability as an environmental health index.
6. The occupational health profile management method according to claim 1, further comprising:
when the employee health diagnosis information in the employee health file is occupational disease, sending out reinspection alarm information containing basic employee information;
and when the employee health file is acquired, canceling the transmission of the review alarm information consistent with the basic information of the employee in the employee health file.
7. The professional health record management method according to claim 1, wherein before obtaining the employee health record, the method further comprises:
acquiring connection application information sent by a user client; the connection application information comprises a connection secret key which is generated for the server;
and verifying the validity of the connection secret key in the connection application information, and establishing communication connection between the user client and the server when the connection secret key is legal.
8. Occupational health record management system, characterized by comprising:
the signal receiving module is used for acquiring connection application information with a connection secret key sent by the user client; the method is also used for acquiring employee health files sent by the user client;
the verification module is used for verifying the validity of the connection secret key in the connection application information, and sending a communication legal signal to the arrangement module and the environment calculation module when the connection secret key is legal;
the storage module is used for storing preset keywords and storing the employee health files sent by the arrangement module;
the arrangement module is used for extracting corresponding information in the employee health files according to preset keywords, and sequentially sending the employee health files to the storage module after the corresponding information is arranged according to the employee work time information by taking the basic employee information as a reference;
the environment calculation module is used for searching all employee health files within a preset area range, judging an environment health index within the preset area range according to the searched employee health files, and sending the environment health index to the environment alarm module;
the environment calculation module is further used for processing the regional health diagnosis data set, comparing the employee health diagnosis information in the last time period with the employee health diagnosis information in the last second time period, taking the set of employee health files with increased possibility of inducing occupational diseases as a dangerous employee set, calculating the probability that the employee health files in the dangerous employee set occupy the employee health files of the whole region, and taking the probability as an environment health index; the environment judging module is used for sending an rectifying instruction containing the environment health index to the output module when the environment health index exceeds a preset threshold value, and sending an environment timing instruction to the timing module;
the output module is used for outputting the rectifying instruction containing the environmental health index sent by the environment judging module;
the timing module is used for starting according to the environment timing instruction sent by the environment judging module to obtain the correction time information, and sending a correction alarm instruction to the alarm module when the correction time information exceeds the preset duration;
the alarm module is used for executing corresponding correction alarm operation according to the correction alarm instruction sent by the timing module and outputting the correction alarm instruction through the output module;
the system further comprises:
the module is used for searching each occupational disease characteristic corresponding to the working position according to the working position information of the staff in the staff health file;
the module is used for predicting the maximum duration of the occupational diseases of the staff through a neural network model according to the past medical history of the staff, the harm contact history of the staff and the staff health diagnosis information in the staff health file;
and the module is used for carrying out the post-adjustment alarm when the maximum time of the occupational diseases of the staff reaches the standard time.
9. The network side service end is characterized by comprising the following steps:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the occupational health profile management method of any one of claims 1-7.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103782300A (en) * | 2011-07-05 | 2014-05-07 | 沙特阿拉伯石油公司 | Systems, computer medium and computer-implemented methods for monitoring health of employees using mobile devices |
| CN104778535A (en) * | 2015-03-19 | 2015-07-15 | 中国石油化工股份有限公司 | Management system for enterprise occupational health physical examination and management method |
| CN105373988A (en) * | 2015-10-27 | 2016-03-02 | 江西天健医疗科技有限公司 | Diagnosis output method and system of online health examination for occupational diseases |
| CN106355034A (en) * | 2016-09-28 | 2017-01-25 | 湖南老码信息科技有限责任公司 | Sub-health prediction method and prediction system based on incremental neural network model |
| KR20180057300A (en) * | 2016-11-22 | 2018-05-30 | 네이버 주식회사 | Method and system for predicting prognosis from diagnostic histories using deep learning |
| CN109949934A (en) * | 2018-11-15 | 2019-06-28 | 陕西医链区块链集团有限公司 | A kind of calculation method using AI algorithm evaluation health states |
| CN110009261A (en) * | 2019-04-27 | 2019-07-12 | 何铖 | A kind of power transmission project construction field real time commanding system |
| CN110610767A (en) * | 2019-08-01 | 2019-12-24 | 平安科技（深圳）有限公司 | Morbidity monitoring method, device, equipment and storage medium |
| CN110703619A (en) * | 2019-10-22 | 2020-01-17 | 泰康保险集团股份有限公司 | Intelligent building management method, device, medium and electronic equipment |
| KR20200060865A (en) * | 2018-11-23 | 2020-06-02 | 주식회사 네트콤 | User cumtomized health information providing device and method thereof |
| CN111695832A (en) * | 2020-06-19 | 2020-09-22 | 邵峥业 | Lead-related industry comprehensive improvement effect evaluation system and method |
| CN111816312A (en) * | 2020-09-14 | 2020-10-23 | 杭州憶盛医疗科技有限公司 | Health state detection method and equipment based on model interpretation and readable storage medium |
| CN111885498A (en) * | 2020-07-13 | 2020-11-03 | 中国联合网络通信集团有限公司 | Prediction method and prediction device for emergency response grade |
| CN112185497A (en) * | 2020-09-24 | 2021-01-05 | 浙江省疾病预防控制中心 | Occupational health supervision method and system |
| CN113053486A (en) * | 2021-04-01 | 2021-06-29 | 北京秒立方互联网科技有限公司 | Method for solving occupational health physical examination scheme generation and result processing |
-
2021
- 2021-07-20 CN CN202110810384.3A patent/CN113628703B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103782300A (en) * | 2011-07-05 | 2014-05-07 | 沙特阿拉伯石油公司 | Systems, computer medium and computer-implemented methods for monitoring health of employees using mobile devices |
| CN104778535A (en) * | 2015-03-19 | 2015-07-15 | 中国石油化工股份有限公司 | Management system for enterprise occupational health physical examination and management method |
| CN105373988A (en) * | 2015-10-27 | 2016-03-02 | 江西天健医疗科技有限公司 | Diagnosis output method and system of online health examination for occupational diseases |
| CN106355034A (en) * | 2016-09-28 | 2017-01-25 | 湖南老码信息科技有限责任公司 | Sub-health prediction method and prediction system based on incremental neural network model |
| KR20180057300A (en) * | 2016-11-22 | 2018-05-30 | 네이버 주식회사 | Method and system for predicting prognosis from diagnostic histories using deep learning |
| CN109949934A (en) * | 2018-11-15 | 2019-06-28 | 陕西医链区块链集团有限公司 | A kind of calculation method using AI algorithm evaluation health states |
| KR20200060865A (en) * | 2018-11-23 | 2020-06-02 | 주식회사 네트콤 | User cumtomized health information providing device and method thereof |
| CN110009261A (en) * | 2019-04-27 | 2019-07-12 | 何铖 | A kind of power transmission project construction field real time commanding system |
| CN110610767A (en) * | 2019-08-01 | 2019-12-24 | 平安科技（深圳）有限公司 | Morbidity monitoring method, device, equipment and storage medium |
| CN110703619A (en) * | 2019-10-22 | 2020-01-17 | 泰康保险集团股份有限公司 | Intelligent building management method, device, medium and electronic equipment |
| CN111695832A (en) * | 2020-06-19 | 2020-09-22 | 邵峥业 | Lead-related industry comprehensive improvement effect evaluation system and method |
| CN111885498A (en) * | 2020-07-13 | 2020-11-03 | 中国联合网络通信集团有限公司 | Prediction method and prediction device for emergency response grade |
| CN111816312A (en) * | 2020-09-14 | 2020-10-23 | 杭州憶盛医疗科技有限公司 | Health state detection method and equipment based on model interpretation and readable storage medium |
| CN112185497A (en) * | 2020-09-24 | 2021-01-05 | 浙江省疾病预防控制中心 | Occupational health supervision method and system |
| CN113053486A (en) * | 2021-04-01 | 2021-06-29 | 北京秒立方互联网科技有限公司 | Method for solving occupational health physical examination scheme generation and result processing |
Non-Patent Citations (4)
| Title |
|---|
| RBF神经网络在甲肝流行趋势预测中的应用研究;刘艳;郑彬;邬文亮;胡建利;朱叶飞;刘文东;;江苏预防医学;20140115(第01期);全文 * |
| 基于电子健康档案信息平台下四位一体慢性疾病管理;梁光;;科技创新导报;20200121(第03期);全文 * |
| 现代项目管理理论在建设项目职业病危害评价工作中的实际运用;程若城;李海生;于久愿;;职业与健康;20180315(第06期);全文 * |
| 职业健康监护档案信息化建设探析;陆秀芳;;档案与建设;20170715(第07期);全文 * |
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