CN113053531B - Medical data processing method, medical data processing device, computer readable storage medium and equipment - Google Patents
Medical data processing method, medical data processing device, computer readable storage medium and equipment Download PDFInfo
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- CN113053531B CN113053531B CN201911367703.7A CN201911367703A CN113053531B CN 113053531 B CN113053531 B CN 113053531B CN 201911367703 A CN201911367703 A CN 201911367703A CN 113053531 B CN113053531 B CN 113053531B
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- 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
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Abstract
The present disclosure provides a medical data processing method, a medical data processing apparatus, a computer-readable storage medium, and an electronic device; relates to the technical field of computers. The medical data processing method comprises the following steps: determining a first data item corresponding to user information from a first system; matching a second data item corresponding to the user information from the second system according to at least one time stamp corresponding to the first data item; a mapping relationship is established for associating the first data item and the second data item. The method can overcome the problem that the data efficiency of determining the user information matching is low to a certain extent, and can determine the data related to the user information from a plurality of systems more quickly by correlating the data of the user information among different systems, so that the efficiency of determining the data of the user information matching is improved.
Description
Technical Field
The present disclosure relates to the field of computer technology, and in particular, to a medical data processing method, a medical data processing apparatus, a computer-readable storage medium, and an electronic device.
Background
With the continuous development of computer technology, more and more systems are developed for people to use, and different systems are used for performing different functions, for example, a face recognition system is used for face information recognition, and an image matching system user performs image matching. The user can use different systems according to the needs, and the same user information can correspond to different data among different systems, if the data corresponding to the user information in a plurality of systems are required to be determined, the data matching is required to be carried out in each system according to the user information. However, the data efficiency of determining that the user information matches by the above method is low.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure aims to provide a medical data processing method, a medical data processing device, a computer readable storage medium and an electronic apparatus, which overcome the problem of low data efficiency in determining user information matching to a certain extent, and can determine data related to user information from a plurality of systems more quickly by associating the data of the user information between the different systems, thereby improving the efficiency in determining the data matched with the user information.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a medical data processing method comprising:
determining a first data item corresponding to user information from a first system;
matching a second data item corresponding to the user information from the second system according to at least one time stamp corresponding to the first data item;
a mapping relationship is established for associating the first data item and the second data item.
In one exemplary embodiment of the present disclosure, determining a first data item corresponding to user information from a first system includes:
determining all data items containing user information from a first system;
and screening all the data items according to a first preset time range to obtain first data items corresponding to the user information.
In one exemplary embodiment of the present disclosure, matching a second data item corresponding to user information from a second system according to at least one timestamp corresponding to the first data item includes:
screening all data items containing user information in a second system according to a second preset time range to obtain second data items corresponding to the user information;
Determining a data type corresponding to the first data item according to the data content of the first data item;
matching a second data item corresponding to the user information from the second system according to the data type and at least one time stamp corresponding to the first data item; wherein the second data item is the same as the data type corresponding to the first data item.
In one exemplary embodiment of the present disclosure, matching a second data item corresponding to user information from a second system according to a data type and at least one timestamp corresponding to the first data item includes:
if the data type is the first data type, matching a second data item corresponding to the user information from a first data set of the second system according to at least one time stamp corresponding to the first data item;
if the data type is the second data type, matching the second data item corresponding to the user information from the second data set of the second system according to at least one time stamp corresponding to the first data item;
and if the data type is the third data type, matching the second data item corresponding to the user information from the first data set and the second data set according to at least one time stamp corresponding to the first data item.
In one exemplary embodiment of the present disclosure, the first data item corresponds to a first timestamp, a second timestamp, and a third timestamp, and matching the second data item corresponding to the user information from the second system according to the data type and at least one timestamp corresponding to the first data item includes:
If the first time stamp is effective data, matching a second data item corresponding to the first time stamp from a data set corresponding to the data type of the second system;
if the first time stamp is invalid data and the second time stamp is valid data, matching a second data item corresponding to the second time stamp from a data set corresponding to the data type of the second system;
and if the first time stamp and the second time stamp are both invalid data and the third time stamp is valid data, matching the second data item corresponding to the third time stamp from the data set corresponding to the data type of the second system.
In an exemplary embodiment of the present disclosure, after matching the second data item corresponding to the user information from the second system according to at least one time stamp corresponding to the first data item, the method may further include the steps of:
if a plurality of second data items exist, ordering the second data items according to the data generation time;
and selecting at least one target second data item from the sorting result according to the preset quantity as a second data item corresponding to the user information.
In one exemplary embodiment of the present disclosure, the first system is a medical examination system and the second system is a medical care system;
The first data item is an examination item and a test item included in the medical examination system, and the second data item is an outpatient item and an inpatient item included in the medical care system.
According to a second aspect of the present disclosure, there is provided a medical data processing apparatus including a data item determination unit, a data item matching unit, and a mapping relation establishment unit, wherein:
a data item determining unit for determining a first data item corresponding to the user information from the first system;
the data item matching unit is used for matching a second data item corresponding to the user information from the second system according to at least one time stamp corresponding to the first data item;
and the mapping relation establishing unit is used for establishing a mapping relation for associating the first data item and the second data item.
In an exemplary embodiment of the present disclosure, the manner in which the data item determining unit determines the first data item corresponding to the user information from the first system may specifically be:
the data item determining unit determines all data items containing user information from the first system;
and the data item determining unit screens all the data items according to a first preset time range to obtain a first data item corresponding to the user information.
In an exemplary embodiment of the present disclosure, the manner in which the data item matching unit matches, from the second system, the second data item corresponding to the user information according to the at least one timestamp corresponding to the first data item may specifically be:
the data item matching unit screens all data items containing user information in the second system according to a second preset time range to obtain second data items corresponding to the user information;
the data item matching unit determines the data type corresponding to the first data item according to the data content of the first data item;
the data item matching unit matches a second data item corresponding to the user information from the second system according to the data type and at least one time stamp corresponding to the first data item; wherein the second data item is the same as the data type corresponding to the first data item.
In an exemplary embodiment of the present disclosure, the manner in which the data item matching unit matches, from the second system, the second data item corresponding to the user information according to the data type and at least one timestamp corresponding to the first data item may specifically be:
if the data type is the first data type, the data item matching unit matches a second data item corresponding to the user information from the first data set of the second system according to at least one time stamp corresponding to the first data item;
If the data type is the second data type, the data item matching unit matches the second data item corresponding to the user information from the second data set of the second system according to at least one time stamp corresponding to the first data item;
and if the data type is the third data type, the data item matching unit matches the second data item corresponding to the user information from the first data set and the second data set according to at least one time stamp corresponding to the first data item.
In an exemplary embodiment of the present disclosure, the manner in which the data item matching unit matches, from the second system, the second data item corresponding to the user information according to the data type and at least one time stamp corresponding to the first data item may specifically be:
if the first time stamp is effective data, the data item matching unit matches a second data item corresponding to the first time stamp from a data set corresponding to the data type of the second system;
if the first time stamp is invalid data and the second time stamp is valid data, the data item matching unit matches a second data item corresponding to the second time stamp from a data set corresponding to the data type of the second system;
And if the first time stamp and the second time stamp are both invalid data and the third time stamp is valid data, the data item matching unit matches the second data item corresponding to the third time stamp from the data set corresponding to the data type of the second system.
In an exemplary embodiment of the present disclosure, the apparatus may further include a data sorting unit and a data selecting unit, wherein:
the data sorting unit is used for sorting the second data items according to the data generation time if a plurality of second data items exist after the data item matching unit matches the second data items corresponding to the user information from the second system according to at least one time stamp corresponding to the first data items;
and the data selection unit is used for selecting at least one target second data item from the sorting result according to the preset quantity to serve as a second data item corresponding to the user information.
In one exemplary embodiment of the present disclosure, the first system is a medical examination system and the second system is a medical care system; the first data item is an examination item and a test item included in the medical examination system, and the second data item is an outpatient item and an inpatient item included in the medical care system.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any of the above via execution of the executable instructions.
According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.
Exemplary embodiments of the present disclosure may have some or all of the following advantages:
in a medical data processing method provided by an example embodiment of the present disclosure, a first data item (e.g., a CT examination result) corresponding to user information (e.g., a user name) may be determined from a first system (e.g., a medical examination system); further, a second data item (e.g., a CT exam by an 8 month 10 day outpatient) corresponding to the user information may be matched from a second system (e.g., a medical system) based on at least one timestamp corresponding to the first data item; further, a mapping relationship for associating the first data item and the second data item may be established. According to the scheme, the problem of low data efficiency of user information matching determination can be overcome to a certain extent, data related to the user information can be determined from a plurality of systems more quickly by associating the data of the user information among different systems, the efficiency of determining the data of the user information matching determination and the data utilization rate among the systems are improved, and the traceability of the data is improved; on the other hand, the effective data related to the user information can be obtained by associating the data corresponding to the user information in each system, and then the user can be analyzed according to the effective data so as to improve the knowledge depth of the user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 illustrates a schematic diagram of an exemplary system architecture of a medical data processing method and medical data processing apparatus to which embodiments of the present disclosure may be applied;
FIG. 2 illustrates a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure;
FIG. 3 schematically illustrates a flow chart of a medical data processing method according to one embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow chart of a medical data processing method according to another embodiment of the present disclosure;
fig. 5 schematically illustrates a block diagram of a medical data processing apparatus in an embodiment according to the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
With the continuous development of computer technology, different medical institutions can use respective systems to perform data management, and each department in one medical institution can also perform department data management according to respective systems (such as medical technology systems and electronic medical record systems), and the problem that data formats are abnormal (such as non-uniform) possibly exists among different systems, so that the systems cannot be interconnected and communicated, the returned visit numbers among the systems cannot be correlated, and further, examination reports, electronic medical records and other data cannot be correlated with patients. If the data corresponding to the user in the systems are required to be determined, the data matching is required to be performed in each system according to the user information, so that the integrity of the data is affected, and the problem of low data matching efficiency is caused.
FIG. 1 illustrates a schematic diagram of a system architecture of an exemplary application environment in which a medical data processing method and medical data processing apparatus of embodiments of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include one or more of the terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others. The terminal devices 101, 102, 103 may be various electronic devices with display screens including, but not limited to, desktop computers, portable computers, smart phones, tablet computers, and the like. It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, the server 105 may be a server cluster formed by a plurality of servers.
The medical data processing method provided by the embodiments of the present disclosure is generally performed by the server 105, and accordingly, the medical data processing apparatus is generally disposed in the server 105. However, it will be readily understood by those skilled in the art that the medical data processing method provided in the embodiment of the present disclosure may be performed by the terminal devices 101, 102, 103, and accordingly, the medical data processing apparatus may be provided in the terminal devices 101, 102, 103, which is not particularly limited in the present exemplary embodiment. For example, in one exemplary embodiment, server 105 may determine a first data item corresponding to user information from a first system; matching a second data item corresponding to the user information from the second system according to at least one time stamp corresponding to the first data item; a mapping relationship is established for associating the first data item and the second data item.
Fig. 2 shows a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
It should be noted that the computer system 200 of the electronic device shown in fig. 2 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present disclosure.
As shown in fig. 2, the computer system 200 includes a Central Processing Unit (CPU) 201, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 202 or a program loaded from a storage section 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data required for the system operation are also stored. The CPU 201, ROM 202, and RAM 203 are connected to each other through a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.
The following components are connected to the I/O interface 205: an input section 206 including a keyboard, a mouse, and the like; an output portion 207 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage section 208 including a hard disk or the like; and a communication section 209 including a network interface card such as a LAN card, a modem, and the like. The communication section 209 performs communication processing via a network such as the internet. The drive 210 is also connected to the I/O interface 205 as needed. A removable medium 211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 210 as needed, so that a computer program read out therefrom is installed into the storage section 208 as needed.
In particular, according to embodiments of the present disclosure, the processes described below with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 209, and/or installed from the removable medium 211. The computer program, when executed by a Central Processing Unit (CPU) 201, performs the various functions defined in the methods and apparatus of the present application.
The present exemplary embodiment provides a medical data processing method. The medical data processing method may be applied to the server 105 or one or more of the terminal devices 101, 102, 103, which is not particularly limited in the present exemplary embodiment. Referring to fig. 3, the medical data processing method may include the following steps S310 to S330:
step S310: a first data item corresponding to user information is determined from a first system.
Step S320: and matching the second data item corresponding to the user information from the second system according to at least one time stamp corresponding to the first data item.
Step S330: a mapping relationship is established for associating the first data item and the second data item.
In the present exemplary embodiment, the execution order between step S310 and step S330 is not limited.
In addition, the present disclosure may be applied to the medical field. When the method and the device are applied to the medical field, the hospitalization data and the outpatient data in the on-site system can be associated with the examination data and the examination data in the medical examination system, so that the complete medical data corresponding to each piece of user information can be obtained.
Next, the above steps of the present exemplary embodiment will be described in more detail.
In step S310, a first data item corresponding to user information is determined from the first system.
The first system may be a medical examination system, and is configured to store an examination item and a test item corresponding to a user; the examination items and the examination items are data items in the first system, the examination items comprise at least one of CT, B ultrasonic, X-ray and chest radiography, the examination items comprise at least one of liver function, five first-function items, six hormone items and three first-function items, the data content corresponding to the examination items comprises at least one of CT examination report, B ultrasonic examination report, X-ray examination report and chest radiography examination report, the data content corresponding to the examination items comprises at least one of liver function examination report, five first-function items, six hormone items and three first-function examination report. The first system may include one or more first data items corresponding to one piece of user information, or may include one or more first data items corresponding to a plurality of pieces of user information, where the plurality of pieces of user information are used to characterize different users, and the user may be a patient admitted to an examination. The user information includes, but is not limited to, at least one of name, number, gender, age, medical history.
In addition, the embodiment of the disclosure discloses a data association manner between the first system and the second system, and the embodiment of the disclosure may be applied to a plurality of systems such as three, four or five, where the embodiment of the disclosure is not limited in specific application.
In addition, optionally, the manner of determining the first data item corresponding to the user information from the first system may be: encoding the input user information to obtain a character string parent_id corresponding to the user information; further, traversing the data content of each data item in the first system, detecting whether target data content containing the event_id exists, and if so, determining the data item corresponding to the target data content as a first data item corresponding to the user information; the first data item corresponding to the user may be one or more, and embodiments of the present disclosure are not limited. The user is specifically referred to as a patient in embodiments of the present disclosure. User information refers to identity information for identifying a patient.
In this example embodiment, optionally, determining, from the first system, a first data item corresponding to the user information includes:
determining all data items containing user information from a first system;
And screening all the data items according to a first preset time range (for example, within 30 days from the current time) to obtain a first data item corresponding to the user information.
Optionally, the manner of determining all data items including the user information from the first system may be: and determining the priority of each piece of sub-information in the user information, and matching each piece of sub-information in the user information with the parameters corresponding to each data item in the first system according to the order of the priority from high to low so as to determine the first data item corresponding to the user information.
For example, the user information corresponding to Zhang three includes the sub information name Zhang three, sex girl and age 18, and because each data item in the first system has corresponding parameters, that is, the parameters corresponding to the CT examination result A are: patient Zhang III, sex men, age 18, CT examination result B corresponding parameters are: patient Zhang III, sex woman, age 18, CT examination result C corresponding parameters are: patient Li IV, sex Man, age 18. The matching may be performed in the first system according to the name to obtain the CT inspection result a and the CT inspection result B. Further, the CT examination result A and the CT examination result B are matched according to the sex, and the CT examination result B is obtained. Further, matching is performed according to the age, and it is determined that the parameter corresponding to the CT inspection result B corresponds to the user information, and then the CT inspection result B as the data item in the first system may be determined as the first data item corresponding to the user information.
In addition, optionally, the method for screening all the data items according to the first preset time range to obtain the first data item corresponding to the user information may be:
and determining the time stamps of all the data items corresponding to the user information, screening out the data items which do not belong to the first preset time range according to the time stamps to obtain the first data items corresponding to the user information, wherein the time stamps corresponding to the first data items belong to the first preset time range.
Further, after screening out the data items not within the first preset time range according to the time stamp, the method may further include the following steps:
and taking the data item closest to the current time among the data items which are obtained by screening and belong to the first preset time range as the first data item corresponding to the user information according to the time stamp.
Therefore, by implementing the optional implementation manner, effective data can be obtained according to screening of the data items corresponding to the user information, occupation of invalid data on computer resources is reduced, and data processing efficiency is further improved.
In step S320, a second data item corresponding to the user information is matched from the second system according to at least one time stamp corresponding to the first data item.
The first data item may correspond to a plurality of time stamps, and the plurality of time stamps are different in type. The plurality of time stamps includes, but is not limited to, at least one of an application time, an inspection time, a reporting time, and an audit time. If the first data item is an inspection item, the corresponding plurality of time stamps are application time, inspection time and reporting time; if the first data item is a check item, the corresponding plurality of time stamps are application time, check time, report time and audit time. The second system may be a consultation system for storing outpatient and inpatient terms corresponding to the user, and the outpatient and inpatient terms may be data items in the second system.
In this example embodiment, optionally, matching, from the second system, the second data item corresponding to the user information according to at least one timestamp corresponding to the first data item includes:
screening all data items containing user information in a second system according to a second preset time range to obtain second data items corresponding to the user information;
determining a data type corresponding to the first data item according to the data content of the first data item;
matching a second data item corresponding to the user information from the second system according to the data type and at least one time stamp corresponding to the first data item; wherein the second data item is the same as the data type corresponding to the first data item.
The data type corresponding to the first data item may be one or more, for example, a hospitalization type and an outpatient type, which are not limited in the embodiments of the present disclosure. If the first data item is of the hospitalization type, it means that the examination/verification of the first data item is by the hospitalization doctor, and if the first data item is of the outpatient type, it means that the examination/verification of the first data item is by the outpatient doctor. The second preset time range may be the same as or different from the first preset time range, and the embodiments of the present disclosure are not limited.
Therefore, by implementing the optional implementation manner, the corresponding second data item can be matched in the second system according to the data type, so that the problem of computing resource waste caused by matching the traversal data is reduced, and the data matching efficiency is improved.
Further optionally, matching, from the second system, the second data item corresponding to the user information according to the data type and at least one timestamp corresponding to the first data item, including:
if the data type is the first data type, matching a second data item corresponding to the user information from a first data set of the second system according to at least one time stamp corresponding to the first data item;
If the data type is the second data type, matching the second data item corresponding to the user information from the second data set of the second system according to at least one time stamp corresponding to the first data item;
and if the data type is the third data type, matching the second data item corresponding to the user information from the first data set and the second data set according to at least one time stamp corresponding to the first data item.
Wherein the first data type may be an outpatient type, the second data type may be an inpatient type, and the third data type may be used to represent a type other than outpatient, i.e. other types. The data items in the first data set are of the outpatient type and the data items in the second data set are of the hospitalized type.
It can be seen that implementing this alternative embodiment, data items can be matched from corresponding data sets by data types to improve data matching efficiency.
Further optionally, the first data item corresponds to a first timestamp, a second timestamp, and a third timestamp, and matching, from the second system, the second data item corresponding to the user information according to the data type and at least one timestamp corresponding to the first data item, includes:
if the first time stamp is effective data, matching a second data item corresponding to the first time stamp from a data set corresponding to the data type of the second system;
If the first time stamp is invalid data and the second time stamp is valid data, matching a second data item corresponding to the second time stamp from a data set corresponding to the data type of the second system;
and if the first time stamp and the second time stamp are both invalid data and the third time stamp is valid data, matching the second data item corresponding to the third time stamp from the data set corresponding to the data type of the second system.
Wherein the valid data is used to indicate that the timestamp is not null. The first time stamp may be an application time, the second time stamp may be an inspection time, and the third time stamp may be a reporting time; the application time is used for indicating the time for a doctor to open an examination/test, the examination time is used for indicating the time for a patient to perform the examination/test, and the report time is used for indicating the time for an examination/test report. And if the first time stamp is valid data, the first time stamp can be understood as non-empty, if the first time stamp is invalid data and the second time stamp is valid data, the first time stamp is empty, the second time stamp is non-empty, and similarly, if the first time stamp and the second time stamp are both valid data and the third time stamp is valid data, the first time stamp and the second time stamp are empty and the third time stamp is non-empty.
It can be seen that, by implementing this alternative embodiment, data matching can be performed sequentially according to a plurality of time stamps, so as to improve data matching efficiency.
In this example embodiment, optionally, after matching the second data item corresponding to the user information from the second system according to at least one timestamp corresponding to the first data item, the method may further include the following steps:
if a plurality of second data items exist, ordering the second data items according to the data generation time;
and selecting at least one target second data item from the sorting result according to the preset quantity as a second data item corresponding to the user information.
The data generation time is the clinic registration time if the second data item is an outpatient item, and the data generation time is the inpatient time if the second data item is an inpatient item. The target second data item may be one or more, and embodiments of the present disclosure are not limited. The duration between the data generation time of the targeted second data item and the first timestamp of the first data item is less than the duration between the data generation time of any non-targeted second data item and the first timestamp of the first data item.
It can be seen that the implementation of this alternative embodiment can determine the second data item corresponding to the user information by screening the second data item, so as to improve accuracy of inter-system data association.
In step S330, a mapping relationship for associating the first data item and the second data item is established.
Wherein the mapping relationship is used to characterize a one-to-one, one-to-many, or many-to-many relationship between the first data item and the second data item, and embodiments of the present disclosure are not limited.
Additionally, optionally, the manner of establishing the mapping relationship for associating the first data item and the second data item may be:
enriching a data table containing the first data item through the second data item; or alternatively, the process may be performed,
enriching a data table containing second data items through first data items; or alternatively, the process may be performed,
enriching a data table corresponding to the user information through the first data item and the second data item.
Therefore, by implementing the medical data processing method shown in fig. 3, the problem of low data efficiency of determining the matching of the user information can be overcome to a certain extent, and the data related to the user information can be determined from a plurality of systems more quickly by correlating the data of the user information among different systems, so that the efficiency of determining the data matched with the user information and the data utilization rate among the systems are improved, and the traceability of the data is improved; and obtaining effective data related to the user information by associating the data corresponding to the user information in each system, and analyzing the user according to the effective data so as to improve the knowledge depth of the user.
Referring to fig. 4, fig. 4 schematically illustrates a flow chart of a medical data processing method according to another embodiment of the present disclosure. As shown in fig. 4, the medical data processing method of another embodiment includes steps S400 to S490, wherein:
step S400: all data items containing user information are determined from the first system.
Step S410: and screening all the data items according to a first preset time range to obtain first data items corresponding to the user information.
Step S420: and screening all data items containing the user information in the second system according to a second preset time range to obtain second data items corresponding to the user information.
Step S430: and determining the data type corresponding to the first data item according to the data content of the first data item.
Step S440: and if the first time stamp is valid data, matching the second data item corresponding to the first time stamp from the data set corresponding to the data type of the second system.
Step S450: and if the first time stamp is invalid data and the second time stamp is valid data, matching the second data item corresponding to the second time stamp from the data set corresponding to the data type of the second system.
Step S460: and if the first time stamp and the second time stamp are both invalid data and the third time stamp is valid data, matching the second data item corresponding to the third time stamp from the data set corresponding to the data type of the second system.
It should be noted that, the embodiment of the disclosure is not limited to the execution sequence among the step S440, the step S450 and the step S460, and may be executed according to the actual situation.
Step S470: and if a plurality of second data items exist, ordering the second data items according to the data generation time.
Step S480: and selecting at least one target second data item from the sorting result according to the preset quantity as a second data item corresponding to the user information.
Step S490: a mapping relationship is established for associating the first data item and the second data item.
When the method and the device are applied to the medical field, all examination items and examination items containing Zhang Saninformation can be determined from a medical examination system, and then all examination items and examination items are screened according to a first preset time range (for example, 30 days), and the examination items and examination items which are separated from the current time by more than 30 days are screened out, so that first data items corresponding to user information are obtained. Furthermore, all inpatient items and outpatient items including Zhang three information in the visit system can be screened according to a second preset time range (for example, 30 days and 60 days), inpatient items which are separated from the current time by more than 30 days are screened out, outpatient items which are separated from the current time by more than 60 days are screened out, and outpatient items and inpatient items corresponding to the user information are obtained. From the examination item and the examination content and examination content of the examination item, it can be determined whether the data type thereof belongs to an outpatient or a inpatient, for example, whether an examination/examination is performed by an outpatient or an examination/examination is performed by an inpatient. If the first timestamp (e.g., the application time, i.e., the time the clinician initiates the examination/verification or the time the resident initiates the examination/verification) is valid data, i.e., the application time is not null, then a second data item corresponding to the application time is matched from the data set corresponding to the data type of the patient system. Similarly, taking the first time stamp which is not empty as a key of matching according to the priority order until the second data item corresponding to the time stamp is matched; wherein if the data type is hospitalization, then a hospitalization item corresponding to the time stamp is matched from the data set corresponding to the hospitalization according to the time stamp which is not empty, the data generation time of the hospitalization item is earlier than the time stamp and the distance between the data generation time and the time stamp is shortest, and the discharge time of the hospitalization item is later than the time stamp. Further, a mapping relationship between the first data item and the second data item may be established to enhance a degree of association between the multi-system data.
In addition, the steps S400 to S490 correspond to the embodiment shown in fig. 3, and in fig. 3, the steps are described and expanded in detail, and are not repeated here.
Therefore, by implementing the medical data processing method shown in fig. 4, the problem that the data efficiency of determining the matching of the user information is low can be overcome to a certain extent, and the data related to the user information can be determined from a plurality of systems more quickly by correlating the data of the user information among different systems, so that the efficiency of determining the data matched with the user information and the data utilization rate among the systems are improved, and the traceability of the data is improved; and obtaining effective data related to the user information by associating the data corresponding to the user information in each system, and analyzing the user according to the effective data so as to improve the knowledge depth of the user.
Further, in the present exemplary embodiment, a medical data processing apparatus 500 is also provided. The medical data processing apparatus 500 may be applied to a server or a terminal device. Referring to fig. 5, the medical data processing apparatus 500 may include a data item determining unit 501, a data item matching unit 502, and a mapping relation establishing unit 503, wherein:
A data item determining unit 501 configured to determine a first data item corresponding to user information from a first system;
a data item matching unit 502, configured to match a second data item corresponding to the user information from the second system according to at least one timestamp corresponding to the first data item;
a mapping relation establishing unit 503, configured to establish a mapping relation for associating the first data item and the second data item.
Wherein, optionally, the first system is a medical examination system, and the second system is a diagnosis system; the first data item is an examination item and a test item included in the medical examination system, and the second data item is an outpatient item and an inpatient item included in the medical care system.
Therefore, the medical data processing device shown in fig. 5 can overcome the problem of low data efficiency of determining the matching of the user information to a certain extent, and the data related to the user information can be determined from a plurality of systems more quickly by correlating the data of the user information among different systems, so that the efficiency of determining the data matched with the user information and the data utilization rate among the systems are improved, and the traceability of the data is improved; and obtaining effective data related to the user information by associating the data corresponding to the user information in each system, and analyzing the user according to the effective data so as to improve the knowledge depth of the user.
In an exemplary embodiment of the present disclosure, the manner in which the data item determining unit 501 determines the first data item corresponding to the user information from the first system may specifically be:
the data item determining unit 501 determines all data items containing user information from the first system;
the data item determining unit 501 screens all data items according to a first preset time range to obtain a first data item corresponding to the user information.
Therefore, by implementing the embodiment of the disclosure, effective data can be obtained according to screening of the data items corresponding to the user information, occupation of invalid data on computer resources is reduced, and data processing efficiency is further improved.
In an exemplary embodiment of the present disclosure, the manner in which the data item matching unit 502 matches, from the second system, the second data item corresponding to the user information according to at least one timestamp corresponding to the first data item may specifically be:
the data item matching unit 502 screens all data items containing user information in the second system according to a second preset time range to obtain second data items corresponding to the user information;
the data item matching unit 502 determines a data type corresponding to the first data item according to the data content of the first data item;
The data item matching unit 502 matches a second data item corresponding to the user information from the second system according to the data type and at least one time stamp corresponding to the first data item; wherein the second data item is the same as the data type corresponding to the first data item.
Therefore, by implementing the embodiment of the disclosure, the corresponding second data item can be matched in the second system according to the data type, so that the problem of computing resource waste caused by matching the traversal data is reduced, and the data matching efficiency is improved.
In an exemplary embodiment of the present disclosure, the manner in which the data item matching unit 502 matches, from the second system, the second data item corresponding to the user information according to the data type and at least one timestamp corresponding to the first data item may specifically be:
if the data type is the first data type, the data item matching unit 502 matches the second data item corresponding to the user information from the first data set of the second system according to at least one time stamp corresponding to the first data item;
if the data type is the second data type, the data item matching unit 502 matches the second data item corresponding to the user information from the second data set of the second system according to at least one time stamp corresponding to the first data item;
If the data type is the third data type, the data item matching unit 502 matches the second data item corresponding to the user information from the first data set and the second data set according to at least one time stamp corresponding to the first data item.
It can be seen that, by implementing the embodiment of the present disclosure, the data items can be matched from the corresponding data sets by the data types, so as to improve the data matching efficiency.
In an exemplary embodiment of the present disclosure, the manner in which the data item matching unit 502 matches, from the second system, the second data item corresponding to the user information according to the data type and at least one time stamp corresponding to the first data item may specifically be:
if the first timestamp is valid data, the data item matching unit 502 matches a second data item corresponding to the first timestamp from a data set corresponding to the data type of the second system;
if the first timestamp is invalid data and the second timestamp is valid data, the data item matching unit 502 matches a second data item corresponding to the second timestamp from a data set corresponding to the data type of the second system;
if the first timestamp and the second timestamp are both invalid data and the third timestamp is valid data, the data item matching unit 502 matches the second data item corresponding to the third timestamp from the data set corresponding to the data type of the second system.
Therefore, by implementing the embodiment of the disclosure, data matching can be sequentially performed according to the plurality of time stamps, so that the data matching efficiency is improved.
In an exemplary embodiment of the present disclosure, the apparatus may further include a data sorting unit (not shown) and a data selecting unit (not shown), wherein:
the data sorting unit is used for sorting the second data items according to the data generation time if a plurality of second data items exist after the data item matching unit matches the second data items corresponding to the user information from the second system according to at least one time stamp corresponding to the first data items;
and the data selection unit is used for selecting at least one target second data item from the sorting result according to the preset quantity to serve as a second data item corresponding to the user information.
It can be seen that, by implementing the embodiment of the present disclosure, the second data item corresponding to the user information can be determined by screening the second data item, so as to improve accuracy of inter-system data association.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Since each functional module of the medical data processing apparatus according to the exemplary embodiment of the present disclosure corresponds to a step of the above-described exemplary embodiment of the medical data processing method, for details not disclosed in the embodiment of the apparatus of the present disclosure, please refer to the above-described embodiment of the medical data processing method of the present disclosure.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the methods described in the above embodiments.
It should be noted that the computer readable medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A medical data processing method, the method comprising:
determining all data items containing user information from a first system;
screening all the data items according to a first preset time range to obtain first data items corresponding to the user information;
matching a second data item corresponding to the user information from a second system according to at least one timestamp corresponding to the first data item;
Determining a data type corresponding to the first data item according to the data content of the first data item; the second data item is the same as the data type corresponding to the first data item;
establishing a mapping relation for associating the first data item and the second data item;
wherein the first system is a medical examination system and the second system is a diagnosis system;
the first data item is an examination item and a test item included in the medical examination system, and the second data item is an outpatient item and an inpatient item included in the medical treatment system.
2. The method of claim 1, wherein matching a second data item corresponding to the user information from a second system according to at least one timestamp corresponding to the first data item comprises:
screening all data items containing the user information in the second system according to a second preset time range to obtain second data items corresponding to the user information;
and matching a second data item corresponding to the user information from the second system according to the data type and at least one time stamp corresponding to the first data item.
3. The method of claim 2, wherein matching a second data item corresponding to the user information from the second system according to the data type and at least one timestamp corresponding to the first data item comprises:
if the data type is a first data type, matching a second data item corresponding to the user information from a first data set of the second system according to at least one time stamp corresponding to the first data item;
if the data type is a second data type, matching a second data item corresponding to the user information from a second data set of the second system according to at least one time stamp corresponding to the first data item;
and if the data type is a third data type, matching the second data item corresponding to the user information from the first data set and the second data set according to at least one time stamp corresponding to the first data item.
4. The method of claim 2, wherein the first data item corresponds to a first timestamp, a second timestamp, and a third timestamp, wherein matching the second data item corresponding to the user information from the second system according to the data type and at least one timestamp corresponding to the first data item comprises:
If the first time stamp is valid data, matching a second data item corresponding to the first time stamp from a data set corresponding to the data type of the second system;
if the first time stamp is invalid data and the second time stamp is valid data, matching a second data item corresponding to the second time stamp from a data set of the second system corresponding to the data type;
and if the first timestamp and the second timestamp are invalid data and the third timestamp is valid data, matching a second data item corresponding to the third timestamp from a data set of the second system corresponding to the data type.
5. The method of claim 1, wherein after matching a second data item corresponding to the user information from a second system according to at least one timestamp corresponding to the first data item, the method further comprises:
if a plurality of second data items exist, ordering the second data items according to the data generation time;
and selecting at least one target second data item from the sorting result according to the preset quantity as a second data item corresponding to the user information.
6. A medical data processing device, the device comprising:
a data item determining unit for determining all data items containing user information from the first system; screening all the data items according to a first preset time range to obtain first data items corresponding to the user information;
a data item matching unit, configured to match a second data item corresponding to the user information from a second system according to at least one timestamp corresponding to the first data item;
the data item matching unit is further used for determining a data type corresponding to the first data item according to the data content of the first data item; the second data item is the same as the data type corresponding to the first data item;
the mapping relation establishing unit is used for establishing a mapping relation for associating the first data item and the second data item;
wherein the first system is a medical examination system and the second system is a diagnosis system;
the first data item is an examination item and a test item included in the medical examination system, and the second data item is an outpatient item and an inpatient item included in the medical treatment system.
7. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the medical data processing method of any of claims 1-5.
8. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the medical data processing method of any of claims 1-5 via execution of the executable instructions.
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