CN111180082B - Method, system, equipment and storage medium for initializing medical information system data - Google Patents
Method, system, equipment and storage medium for initializing medical information system data Download PDFInfo
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Abstract
The invention provides a method, a system, equipment and a storage medium for initializing medical information system data, wherein the method comprises the following steps: acquiring an initialization file, wherein the initialization file comprises initialization data required to be input into a medical information system and a first data dictionary of the initialization data; acquiring at least one second data dictionary of a pre-stored medical information system data model; matching the first data dictionary with the second data dictionary, and determining a second data dictionary matched with the first data dictionary; and inputting the initialization data into the medical information system according to the second data dictionary. By adopting the scheme of the invention, the initialization data is automatically input according to the matching of the data model and the initialization data, so that the initialization data input efficiency and accuracy of the medical information system are improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, a system, an apparatus, and a storage medium for initializing data in a medical information system.
Background
The hospital medical information system (Hospital Information System, HIS) must perform data initialization work, i.e. basic data preparation work necessary for system start-up, during the initial use phase. As shown in fig. 1, the conventional solution is that the vendor provides an initialization EXCEL file, such as E110: a vendor provides an initialization Excel file, E210: b, providing an initialization Excel file by a provider; then E120: service personnel acquire an Excel template of the provider A, and E220 service personnel acquire the Excel template of the provider B; then, the service personnel directly fills in the initialization data according to the initial Excel template to obtain E130: excel template initialization data of vendor a and E230: and initializing data by an Excel template of the provider B, and finally importing the initialized data into the system. The method has the defect that the definition of data is unclear, repeated and missed easily in the data acquisition work.
In addition, the quality and the range of the traditional collection result are usually judged by means of manual experience, the sequence and the interrelationship of the data collection are difficult to check, and the repetition and the error of the data collection work of the information system are extremely easy to cause.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a method, a system, equipment and a storage medium for initializing data of a medical information system, which are used for automatically inputting the initialized data according to the matching of a data model and the initialized data and improving the efficiency and the accuracy of inputting the initialized data.
The embodiment of the invention provides a method for initializing medical information system data, which comprises the following steps:
acquiring an initialization file, wherein the initialization file comprises initialization data required to be input into a medical information system and a first data dictionary of the initialization data;
acquiring at least one second data dictionary of a pre-stored medical information system data model;
matching the first data dictionary with the second data dictionary, and determining a second data dictionary matched with the first data dictionary;
and inputting the initialization data into the medical information system according to the second data dictionary.
Optionally, matching the first data dictionary with the second data dictionary includes:
calculating the similarity between the names of the first data dictionary and the second data dictionary, and if the similarity between the names of the first data dictionary and the names of the second data dictionary is larger than a preset threshold, matching the first data dictionary with the second data dictionary.
Optionally, calculating the similarity ratio of the name of the first data dictionary and the name of the second data dictionary includes the following steps:
judging whether the medical information system data model comprises a character string of the name of the first data dictionary or not;
if so, dividing words according to the names of the first data dictionary to obtain m independent words;
counting the number of occurrences A of the first data dictionary corresponding to each individual word in the names i I epsilon (1, m) and counting the number of occurrences B of the second data dictionary corresponding to each individual word in the names i ，i∈(1，m)；
The times A i M elements of the name word frequency vector as the first data dictionary, the times B i M elements of a name word frequency vector as a second data dictionary;
and calculating the similarity ratio of the word frequency vector of the name of the first data dictionary and the word frequency vector of the name of each second data dictionary by adopting a vector similarity calculation formula.
Optionally, after determining whether the character string of the name of the first data dictionary is included in the medical information system data model, the method further includes the following steps:
if not, dividing words according to the names of the second data dictionary to obtain n independent words;
counting the number of occurrences A of the first data dictionary corresponding to each individual word in the names j J e (1, n), and counting the number of occurrences B of the second data dictionary corresponding to each individual word in the names j ，j∈(1，n)；
The times A j As a first data dictionaryN elements of the name word frequency vector of (c), said number of times B j N elements of a name word frequency vector as a second data dictionary;
and calculating the similarity ratio of the word frequency vector of the name of the first data dictionary and the word frequency vector of the name of each second data dictionary by adopting a vector similarity calculation formula.
Optionally, entering the initialization data into the medical information system according to the second data dictionary includes the steps of:
sequentially matching each first field in the first data dictionary with a second field in the second data dictionary to determine a second field matched with each first field;
and according to the matching relation between the first field and the second field, inputting the initialization data of each first field into the medical information system.
Optionally, after the initializing data is entered into the medical information system according to the second data dictionary, the method further comprises the steps of:
and checking the data input into the medical information system according to a preset data checking rule.
Optionally, the initialization file further includes corresponding standard information, and after the initialization data is entered into the medical information system according to the second data dictionary, the method further includes the following steps:
and carrying out standardized inspection on the initialization data according to the corresponding standard information in the initialization file.
The embodiment of the invention also provides a medical information system data initialization system which is applied to the medical information system data initialization method, and the system comprises the following steps:
the data acquisition module is used for acquiring an initialization file, wherein the initialization file comprises initialization data required to be input into the medical information system and a first data dictionary of the initialization data;
the model acquisition module is used for acquiring at least one second data dictionary of the pre-stored medical information system data model;
the dictionary matching module is used for matching the first data dictionary with the second data dictionary and determining a second data dictionary matched with the first data dictionary;
and the data input module is used for inputting the initialization data into the medical information system according to the second data dictionary.
The embodiment of the invention also provides a medical information system data initializing device, which comprises:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the medical information system data initialization method via execution of the executable instructions.
The embodiment of the invention also provides a computer readable storage medium for storing a program, which when executed, implements the steps of the medical information system data initialization method.
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.
The medical information system data initialization method, the system, the equipment and the storage medium provided by the invention have the following advantages:
according to the invention, the initialization data is automatically input according to the matching of the data model and the initialization data, so that the repeated and error leakage easily caused by manual input in the prior art can be effectively avoided, the efficiency and accuracy of the initialization data input are improved, and the labor cost is greatly saved; the data model has strong universality and adaptability, can be suitable for the data initialization process of different service providers, and can rapidly complete the basic data preparation work of the medical information system.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings.
FIG. 1 is a schematic diagram of a prior art process for initializing medical information system data;
FIG. 2 is a schematic diagram of a process for initializing medical information system data according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for initializing medical information system data according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a data initializing system of a medical information system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a medical information system data initializing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural view of a computer-readable storage medium according to an embodiment of the present invention.
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.
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.
In order to solve the technical problems in the prior art, the invention provides a data initializing method of a medical information system, provides a predefined data model, and automatically matches an initializing file provided by a provider with templates in the data model so as to realize automatic input of initializing data.
As shown in fig. 2, first P110: the a vendor provides an initialization Excel file, P120: b vendor provides an initialization Excel file, then interacts with P200: the predefined data model is compared, P300: data initialization, resulting in P120: excel template initialization data for vendor a and P220: excel template initialization data of vendor B.
As shown in fig. 3, an embodiment of the present invention provides a method for initializing data of a medical information system, including the following steps:
s100: acquiring an initialization file, wherein the initialization file comprises initialization data required to be input into a medical information system and a first data dictionary of the initialization data; the initialization file may be an initialization file obtained from a vendor;
s200: acquiring at least one second data dictionary of a pre-stored medical information system data model;
s300: matching the first data dictionary with the second data dictionary, and determining a second data dictionary matched with the first data dictionary;
s400: and inputting the initialization data into the medical information system according to the second data dictionary.
In the present invention, a data dictionary refers to defining and describing data items, data structures, data streams, data stores, processing logic, etc. of data. Therefore, the data initializing method of the medical information system can effectively avoid repetition and error caused by manual recording in the prior art by automatically matching the data dictionary in the data model and the data dictionary of the initializing data and recording the initializing data according to the matching result, and improves the recording efficiency and accuracy of the initializing data. The medical information system data model comprises an initialization data rule template defined according to the logical relation and the type of service data, and the data is input according to the initialization data rule template corresponding to different provider services and predefined data templates.
In the above-mentioned method for initializing the data of the medical information system, the number of each step is not limited to the execution sequence of each step, that is, steps S100 to S400 are not necessarily executed in the sequence shown in fig. 3, for example, in other alternative embodiments, step S200 may be executed first, and then step S100 may be executed, which falls within the protection scope of the present invention.
In this embodiment, in the step S300, matching the first data dictionary with the second data dictionary includes:
calculating the similarity between the names of the first data dictionary and the second data dictionary, and if the similarity between the names of the first data dictionary and the names of the second data dictionary is larger than a preset threshold, matching the first data dictionary with the second data dictionary. The preset threshold may be set as desired, for example, 40%, 50%, etc.
In this embodiment, calculating the similarity ratio of the name of the first data dictionary and the name of the second data dictionary includes the steps of:
s310: judging whether the medical information system data model comprises a character string of the name of the first data dictionary or not;
s320: if so, dividing words according to the names of the first data dictionary to obtain m independent words;
s330: counting the number of occurrences A of the first data dictionary corresponding to each individual word in the names i I epsilon (1, m) and counting the number of occurrences B of the second data dictionary corresponding to each individual word in the names i ，i∈(1，m)；
S340: the times A i M elements of the name word frequency vector as the first data dictionary, the times B i M elements of a name word frequency vector as a second data dictionary;
s350: and calculating the similarity ratio of the word frequency vector of the name of the first data dictionary and the word frequency vector of the name of each second data dictionary by adopting a vector similarity calculation formula.
For example, in a specific example, the name of the first data dictionary is "medicine basic information", step S320: the words are divided according to the names of the first data dictionary, and the words are obtained by { "medicine", "product", "base", "book", "information" }, i.e. m=6, including 6 individual words. The name of a second data dictionary is 'medicine information', the word division result is { 'medicine', "article", "information" }, the resulting words are summed as: { "drug", "base", "book", "message" }.
In the step S330, the word frequency is calculated, the first data dictionary frequency { "medicine": 1, "article": 1, "base": 1, "book": 1, "letter": 1, "message": 1}, the second data dictionary frequency { "medicine": 1, "article": 1, "base": 0, "book": 0, "letter": 1}. Step S340 is adopted to obtain a word frequency vector of the name:
a first data dictionary: {1,1,1,1,1,1}
A second data dictionary: {1,1,0,0,1,1}
In the step S350, the vector similarity calculation formula used may be a cosine similarity calculation formula, an euclidean distance similarity calculation formula, a hamming similarity calculation formula, or the like, and in this embodiment, the cosine similarity calculation formula is taken as an example:
the larger the calculated resultant cos (θ) value is, the higher the similarity between the name of the first data dictionary and the name of the second data dictionary is, the smaller the calculated resultant cos (θ) value is, the closer to 0 is, and the lower the similarity between the name of the first data dictionary and the name of the second data dictionary is.
Taking the above example as an example, the similarity between the name "medicine basic information" of the first data dictionary and the name "medicine information" of one second data dictionary is calculated as follows:
therefore, the similarity value of the name "medicine basic information" of the first data dictionary and the name "medicine information" of one second data dictionary is calculated to be 0.81.
In this embodiment, the step S310: after judging whether the character string of the name of the first data dictionary is included in the medical information system data model, the method further comprises the following steps:
s340: if not, dividing words according to the names of the second data dictionary to obtain n independent words;
s350: counting the number of occurrences A of the first data dictionary corresponding to each individual word in the names j J e (1, n), and counting the number of occurrences B of the second data dictionary corresponding to each individual word in the names j ，j∈(1，n)；
S360: the times A j N elements of the name word frequency vector as the first data dictionary, the times B j N elements of a name word frequency vector as a second data dictionary;
s370: and calculating the similarity ratio of the word frequency vector of the name of the first data dictionary and the word frequency vector of the name of each second data dictionary by adopting a vector similarity calculation formula. Also, the vector similarity calculation formula here may employ a cosine similarity calculation formula, a euclidean distance similarity calculation formula, or the like.
After the above-mentioned name similarity matching method is adopted, it may be checked whether there is a first data dictionary that is not matched to a second data dictionary, if so, matching may be performed manually, and the final matching result may also be checked simply by a worker.
In this embodiment, the step S400: inputting the initialization data into the medical information system according to the second data dictionary, comprising the following steps:
s410: sequentially matching each first field in the first data dictionary with a second field in the second data dictionary to determine a second field matched with each first field;
s420: and according to the matching relation between the first field and the second field, inputting the initialization data of each first field into the medical information system.
In the step S410, the matching between the fields of the first data dictionary and the fields of the second data dictionary may also be the method of matching dictionary names in the step S300. For example, the number of occurrences of each word is counted by dividing the words according to the field names of the second data dictionary, and then the similarity of the names of the first field and one second field is calculated using a vector formula. After step S420, according to the matching relationship between the first field and the second field, the entering of the initialization data of each first field into the medical information system may include entering the initialization data of each first field into a position corresponding to the second field in the medical information system.
In this embodiment, the step S400: after entering the initialization data into the medical information system according to the second data dictionary, further comprising the steps of:
and checking the data input into the medical information system according to a preset data checking rule.
For example, the medical information system model may also include specific field lengths and interdependencies between attribute information and data dictionaries.
Here, checking the length and the attribute of the initialization data entered at the second field according to the length and the attribute information of the specific field may be included according to a preset data checking rule; the method can also comprise the step of checking whether missing items exist in the input initialization data according to a preset logic check rule; the method also can comprise the step of checking the uniqueness of the input initialization data according to a preset logic checking rule; and the method can also comprise the steps of carrying out relevance inspection on the input initialization data according to the interdependence relationship among the data dictionaries, judging whether the relevance relationship is accurate, and the like.
In this embodiment, the initialization file further includes corresponding standard information, and specifically, the standard information may include an existing corresponding standard name and standard number, such as a country standard number and name for encoding of certain field data. The step S400: after the initialization data is input into the medical information system according to the second data dictionary, the method further comprises standardized checking the initialization data according to corresponding standard information in the initialization file, for example, judging whether the initialization data accords with coding rules of corresponding standards or not.
Furthermore, the initialization file can also comprise information such as a responsible department, a data dictionary remark description and the like, so that the subsequent detection of the initialization data is facilitated.
Therefore, by adopting the medical information system data initializing method, the entered initializing data can be automatically subjected to compliance checking, so that missing items or repeated items are further avoided, and the data entry accuracy is improved.
As shown in fig. 4, the embodiment of the present invention further provides a system for initializing data of a medical information system, which is applied to the method for initializing data of a medical information system, and the system includes:
the data acquisition module M100 is used for acquiring an initialization file, wherein the initialization file comprises initialization data required to be input into the medical information system and a first data dictionary of the initialization data, and the data acquisition module M110 is mainly responsible for interaction with the provider system and can directly acquire the initialization file of the provider from the provider system;
a model acquisition module M200 for acquiring at least one second data dictionary of a pre-stored medical information system data model;
the dictionary matching module M300 is configured to match the first data dictionary with the second data dictionary, and determine a second data dictionary that matches the first data dictionary;
a data entry module M400 for entering the initialization data into the medical information system according to the second data dictionary.
Therefore, the data initializing system of the medical information system automatically matches the data dictionary in the data model with the data dictionary of the initialized data through the dictionary matching module M300, and the initialized data is input through the data input module M400 according to the matching result, so that the situation that repetition and error are easy to occur during manual input in the prior art can be effectively avoided, and the initialized data input efficiency and accuracy are improved.
In this embodiment, the functions of each module in the medical information system data initializing system may be implemented by using specific implementation manners of each step in the above-mentioned medical information system data initializing method. For example, the dictionary matching module M300 may perform the similarity matching on the first data dictionary and the second data dictionary by using the embodiments of steps S310 to S330 as described above, or may further perform steps S340 to S360 as described above, which are not described herein.
The data entry module M400 may be further configured to match each of the first data fields with a second field in the matched second data dictionary, where the matching may be performed by, for example, matching names of the first data dictionary and the second data dictionary. The data entry module M400 then enters the initialization data into the corresponding location of the medical information system according to the correspondence of the second field of the second data dictionary and the first field of the first data dictionary.
In this embodiment, the medical information system data initializing system may further include a data checking module for checking data entered into the medical information system according to a preset data checking rule. For example, the checking rule according to preset data herein may include checking the length and attribute of the initialization data entered at the second field according to the length and attribute information of the specific field; the method can also comprise the step of checking whether missing items exist in the input initialization data according to a preset logic check rule; the method also can comprise the step of checking the uniqueness of the input initialization data according to a preset logic checking rule; and the method can also comprise the steps of carrying out relevance inspection on the input initialization data according to the interdependence relationship among the data dictionaries, judging whether the relevance relationship is accurate, and the like.
The embodiment of the invention also provides a medical information system data initializing device, which comprises a processor; a memory having stored therein executable instructions of the processor; wherein the processor is configured to perform the steps of the medical information system data initialization method via execution of the executable instructions.
Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a method, system, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 600 shown in fig. 5 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 5, the electronic device 600 is embodied in the form of a general purpose computing device. Components of electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different system components (including the memory unit 620 and the processing unit 610), a display unit 640, etc.
Wherein the storage unit stores program code that is executable by the processing unit 610 such that the processing unit 610 performs the steps according to various exemplary embodiments of the present invention described in the electronic prescription stream processing method section above in this specification. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The memory unit 620 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 6201 and/or cache memory unit 6202, and may further include Read Only Memory (ROM) 6203.
The storage unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and/or any device (e.g., router, modem, etc.) that enables the electronic device 600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 650. Also, electronic device 600 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 over the bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The embodiment of the invention also provides a computer readable storage medium for storing a program, which when executed, implements the steps of the medical information system data initialization method. In some possible embodiments, the aspects of the present invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the electronic prescription stream processing method section of this specification, when said program product is run on the terminal device.
Referring to fig. 6, a program product 800 for implementing the above-described method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is 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 (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with 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 readable storage medium may also be any readable medium 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 readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The medical information system data initialization method, the system, the equipment and the storage medium provided by the invention have the following advantages:
according to the invention, the initialization data is automatically input according to the matching of the data model and the initialization data, so that the repeated and error leakage easily caused by manual input in the prior art can be effectively avoided, the efficiency and accuracy of the initialization data input are improved, and the labor cost is greatly saved; the data model has strong universality and adaptability, can be suitable for the data initialization process of different service providers, and can rapidly complete the basic data preparation work of the medical information system.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for embodiments of the system, apparatus, and computer storage medium, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the portions of the method embodiments that are relevant.
The foregoing is a further detailed description of the invention in connection with the preferred embodiments, and it is not intended that the invention be limited to the specific embodiments described. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.
Claims (9)
1. A method for initializing medical information system data, comprising the steps of:
acquiring an initialization file, wherein the initialization file comprises initialization data required to be input into a medical information system and a first data dictionary of the initialization data;
acquiring at least one second data dictionary of a pre-stored medical information system data model;
matching the first data dictionary with the second data dictionary, and determining a second data dictionary matched with the first data dictionary;
inputting the initialization data into the medical information system according to the second data dictionary;
after the initialization data is input into the medical information system according to the second data dictionary, the method further comprises the following steps:
checking the data recorded in the medical information system according to a preset data checking rule, wherein the data checking rule comprises the following steps: checking whether missing items exist in the input initialization data according to a preset logic check rule; and carrying out uniqueness check on the input initialization data according to a preset logic check rule.
2. The method of initializing medical information system data according to claim 1, wherein matching the first data dictionary with the second data dictionary comprises:
calculating the similarity between the names of the first data dictionary and the second data dictionary, and if the similarity between the names of the first data dictionary and the names of the second data dictionary is larger than a preset threshold, matching the first data dictionary with the second data dictionary.
3. The method of initializing medical information system data according to claim 2, wherein calculating a similarity ratio of the name of the first data dictionary to the name of the second data dictionary comprises the steps of:
judging whether the medical information system data model comprises a character string of the name of the first data dictionary or not;
if so, dividing words according to the names of the first data dictionary to obtain m independent words;
counting the number of occurrences A of the first data dictionary corresponding to each individual word in the names i I epsilon (1, m) and counting the number of occurrences B of the second data dictionary corresponding to each individual word in the names i ，i∈(1，m)；
The times A i M elements of the name word frequency vector as the first data dictionary, the times B i M elements of a name word frequency vector as a second data dictionary;
and calculating the similarity ratio of the word frequency vector of the name of the first data dictionary and the word frequency vector of the name of each second data dictionary by adopting a vector similarity calculation formula.
4. The method of initializing medical information system data according to claim 3, wherein after judging whether the character string of the name of the first data dictionary is included in the medical information system data model, further comprising the steps of:
if not, dividing words according to the names of the second data dictionary to obtain n independent words;
counting the number of occurrences A of the first data dictionary corresponding to each individual word in the names j J e (1, n), and counting the number of occurrences B of the second data dictionary corresponding to each individual word in the names j ，j∈(1，n)；
The times A j N elements of the name word frequency vector as the first data dictionary, the times B j As a second numberN elements of the word frequency vector according to the name of the dictionary;
and calculating the similarity ratio of the word frequency vector of the name of the first data dictionary and the word frequency vector of the name of each second data dictionary by adopting a vector similarity calculation formula.
5. The method of initializing medical information system data according to claim 1, wherein the initializing data is entered into the medical information system according to the second data dictionary, comprising the steps of:
sequentially matching each first field in the first data dictionary with a second field in the second data dictionary to determine a second field matched with each first field;
and according to the matching relation between the first field and the second field, inputting the initialization data of each first field into the medical information system.
6. The method for initializing medical information system data according to claim 1, wherein the initialization file further includes corresponding standard information, and the step of after entering the initialization data into the medical information system according to the second data dictionary, further includes the steps of:
and carrying out standardized inspection on the initialization data according to the corresponding standard information in the initialization file.
7. A medical information system data initialization system, comprising:
the data acquisition module is used for acquiring an initialization file, wherein the initialization file comprises initialization data required to be input into the medical information system and a first data dictionary of the initialization data;
the model acquisition module is used for acquiring at least one second data dictionary of the pre-stored medical information system data model;
the dictionary matching module is used for matching the first data dictionary with the second data dictionary and determining a second data dictionary matched with the first data dictionary;
the data input module is used for inputting the initialization data into the medical information system according to the second data dictionary;
after the entering of the initialization data into the medical information system according to the second data dictionary, the system is further configured to:
checking the data recorded in the medical information system according to a preset data checking rule, wherein the data checking rule comprises the following steps: checking whether missing items exist in the input initialization data according to a preset logic check rule; and carrying out uniqueness check on the input initialization data according to a preset logic check rule.
8. A medical information system data initializing apparatus, comprising:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the medical information system data initialization method of any one of claims 1 to 6 via execution of the executable instructions.
9. A computer-readable storage medium storing a program, characterized in that the program when executed implements the steps of the medical information system data initialization method of any one of claims 1 to 6.
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