KR101659742B1 - Device and method for coding of medical data - Google Patents

Device and method for coding of medical data Download PDF

Info

Publication number
KR101659742B1
KR101659742B1 KR1020150094287A KR20150094287A KR101659742B1 KR 101659742 B1 KR101659742 B1 KR 101659742B1 KR 1020150094287 A KR1020150094287 A KR 1020150094287A KR 20150094287 A KR20150094287 A KR 20150094287A KR 101659742 B1 KR101659742 B1 KR 101659742B1
Authority
KR
South Korea
Prior art keywords
text
medical data
code
group
encoding device
Prior art date
Application number
KR1020150094287A
Other languages
Korean (ko)
Inventor
전강태
Original Assignee
주식회사 유비케어
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 주식회사 유비케어 filed Critical 주식회사 유비케어
Priority to KR1020150094287A priority Critical patent/KR101659742B1/en
Application granted granted Critical
Publication of KR101659742B1 publication Critical patent/KR101659742B1/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404Methods for optical code recognition
    • G06K7/1408Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/14172D bar codes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
    • G06K19/06037Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking multi-dimensional coding

Abstract

The present invention relates to an apparatus and a method for coding medical data. According to the present invention, the medical data coding apparatus comprises: an identification unit for identifying a first meaningful text from medical data written by a hospital/clinic server; and a process unit for replacing the first meaningful text with a code before encoding into a barcode on the medical data, and abbreviating a size of the medical data, thereby improving a recognition ratio of the barcode.

Description

≪ Desc / Clms Page number 1 > DEVICE AND METHOD FOR CODING OF MEDICAL DATA < RTI ID =

The present invention relates to a device for coding medical data and a method for coding medical data.

The hospital and clinic can treat the patient, and the contents of the medical care (medical data) can be made through the form such as medical certificate, prescription. Conventionally, the contents of the medical care are generally outputted in a paper document. In this case, the contents of the medical treatment may be illegally changed, and an error may occur during the process of data conversion of the medical care contents, or it takes a lot of time.

Recently, technology has been developed to encode the contents of a medical treatment in the form of a 2D barcode, and to read medical data by scanning a 2D barcode. This has the advantage of preventing illegal alteration of the medical data, prompting the user to input the medical data, and preventing errors in the process of inputting the medical data.

However, the conventional 2D barcode has a disadvantage that the recognition rate is low when the size of the medical data in the barcode is large. Because of the nature of medical data, the size of the data is not so small because medical terminology is long. In addition, since the medical term is complex in medical data and the foreign language and the Korean language are represented in parallel, the notation may be different for each doctor. Because of this. The unnecessary data may be included in the process of encoding and decoding the medical data into the 2D bar code, thereby increasing the size of the medical data.

Therefore, there is a need for an apparatus and a method that can improve the barcode recognition rate by reducing the size of medical data.

SUMMARY OF THE INVENTION It is an object of the present invention to improve a recognition rate of a barcode by reducing the size of medical data by providing a barcode in which one or more texts are replaced with codes in medical data .

The apparatus for encoding medical data for achieving the above object includes an identification unit for identifying a first meaningful text from medical data created in a bottle / clinic server, and an identification unit for identifying the first significant text May be replaced with a code to reduce the size of the medical data.

Also, as a technical method for achieving the above object, a method of coding medical data comprises the steps of identifying a first meaningful text from medical data created at a veterinary clinic server, and prior to encoding the medical data into a barcode, And replacing the first meaningful text with a code to reduce the size of the medical data.

According to an embodiment of the present invention, by providing a barcode in which one or more texts are replaced with codes in the medical data, the size of the medical data can be shortened to improve the recognition rate of the barcode.

1 is a diagram for explaining a coding system using an apparatus for coding medical data according to an embodiment of the present invention.
2 is a block diagram illustrating an apparatus for encoding medical data according to an embodiment of the present invention.
3 is a diagram for explaining a text group according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating a process of coding medical data using the medical data coding apparatus according to an embodiment of the present invention. Referring to FIG.
5 is a workflow diagram specifically illustrating a method of coding medical data according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. Like reference symbols in the drawings denote like elements.

The encoding device for medical data and the method for encoding medical data described herein can identify and replace the text contained in the text group in the medical data and can also replace the code with the same meaning You can replace it with text.

1 is a diagram for explaining a coding system using an apparatus for coding medical data according to an embodiment of the present invention.

The coding system 100 may include a coding device 110 for coding medical data, a veterinary clinic server 120, a pharmacy / insurance server 130 and a recording medium 140.

In the encoding system 100, the encoding device 110, the bottle / member server 120, the pharmacy / insurance server 130 and the recording medium 140 may be connected via a network. Here, the network may be a local area network (LAN), a wide area network (WAN), a value added network (VAN), a personal area network (PAN), a mobile communication network a wireless communication network, a Wireless Broadband Internet (Wibro), a Mobile WiMAX, a High Speed Downlink Packet Access (HSDPA) or a satellite communication network.

The encoding device 110 may identify the first significant text of the medical data contained in the veterinary clinic server 120 and replace the first significant text with a code. A detailed description of the encoding apparatus 110 will be made with reference to FIG.

The bottle / clinic server 120 can create medical data. In addition, the bottle / member server 120 may output the barcode for the medical data including the code, which is transmitted from the encoding device 110, to the recording medium 140. [ In addition, the veterinary clinic server 120 may be coupled to a system (e. G., An EMR system) responsible for outputting hospital documents.

The pharmacy / insurance server 130 may scan the barcode from the recording medium 140 containing the barcode. In addition, the pharmacy / insurance server 130 can receive the medical data included in the barcode.

The recording medium 140 may be at least one of a paper document, an application (APP), a text message, a medium on which a barcode can be scanned such as a web page, and the like. In addition, the barcode may be in 2D barcode format, but is not limited thereto.

2 is a block diagram illustrating an apparatus for encoding medical data according to an embodiment of the present invention.

The apparatus 200 for coding medical data of the present invention may include an identification unit 210 and a processing unit 220. [ Also, according to the embodiment, the encoding apparatus 200 can be configured by adding a storage unit 230. [

The identification unit 210 identifies the first meaningful text from the medical data created at the clinic / clinic server. That is, the identifying unit 210 may identify a meaningful text in the medical data as the first significant text. For example, the identification unit 210 may identify the 'antibiotic' as the first meaningful text if the text 'antibiotic' is significant in the patient's prescription created at the hospital / clinic server.

Also, the identification unit 210 can identify the medical care text recorded in the medical care field among the fields constituting the medical data as the first significant text. In other words, the identification unit 210 can identify the medical care text on the medical care field in which the medical record is created as the first significant text. For example, the identification unit 210 may identify 'asthma' as the first meaningful text when the text 'asthma' created with the diagnosis name in the medical care field is significant.

The processing unit 220 replaces the first significant text with a code to shorten the size of the medical data before encoding the medical data into a barcode. That is, the processing unit 220 may replace the first significant text identified from the medical data with a code. Here, the code may be composed of a combination of at least one of letters and numbers. For example, the code could be 'A01', 'ST02M46', '814097', and so on.

Further, when replacing the code with the code, the processing unit 220 may add a special code for distinguishing the code to the medical data. In other words, when the processing unit 220 replaces the first significance text with a code, the processing unit 220 may add the code including the special symbol to the medical data. Here, the special symbols may be symbols such as brackets ([]), braces ({}), and the like. For example, the processing unit 220 can distinguish codes by adding '[ST02M46]' to the medical data so that the brackets are positioned at the beginning and end of the code.

In addition, the processing unit 220 may decode the medical data as the barcode is scanned by the pharmacy / insurance server, but by reversing the code in the decoded medical data with the second significant text, You can restore the size. That is, when the barcode outputted to the recording medium is scanned by the pharmacy / insurance server, the processing unit 220 can replace the code that has been replaced with the second meaningful text instead of the first meaningful text. For example, when the bar code is scanned and decoded in the medical data, the processing unit 220 may reverse-encode the code 'ST02M46' to the second significant text and decode it in '[ST02M46]'.

Hereinafter, the medical data coding apparatus 200 will be described in more detail with reference to FIG.

3 is a diagram for explaining a text group according to an embodiment of the present invention.

The storage unit 230 may hold a plurality of texts having the same meaning but different notations in a text group and store them in a database (not shown). That is, the storage unit 230 may store a text group including at least one text having a different notation but the same meaning in the database. In FIG. 3, the storage unit 230 may store the radiation film, the radiation film, the radiation film, and the like in a database in a text group having one and the same meaning. In addition, the storage unit 230 stores 'Cone Beam Computed Tomography Diagnosis-3-dimensional CT, Cone Beam Computed Tomography Image-3-dimensional CT, Cone-Beam Computed Tomography Image-3-dimensional CT' In a group of texts with a.

In addition, the storage unit 230 may associate the codes with each of the text groups and store them in the database. That is, the storage unit 230 allows the per-code text group to correspond, and maintains the text group in the database. In FIG. 3, the text group having the code of 'A1' may include text of 'radiation film (magnetic), radiation film (magnetic), radiation film (magnetic)'. In addition, the text group having code of 'H2400' can include 'Cone Beam Computed Tomography Diagnosis - 3D CT, Cone Beam Computed Tomography Diagnosis - 3D CT, Cone Beam Computed Tomography Diagnosis - 3D CT' have. As a result, the storage unit 230 may maintain a text group corresponding to the code of 'A1' and a text group corresponding to the code of 'H2400', respectively, in the database.

In addition, the storage unit 230 may determine the length of the code according to the frequency of use of a plurality of texts belonging to the text group. That is, the storage unit 230 can determine the code length of the text group including the frequently used text code to be shorter than the code length of the text group to which the low-frequency text belongs. Here, the shortness of the code may mean that the number of letters or numbers is small in a code composed of one or more letters or numbers. In FIG. 3, the storage unit 230 may determine the code of the text group having the rate of '19820' to be shorter than that of the code group 'H2400' of the text group having the usage frequency of '258'.

At this time, the identifying unit 210 may identify any text included in the medical data as the first significant text, if the text belongs to at least one text group held in the database. In other words, the identifying unit 210 can identify the text included in the text group retained from the database as the first significant text. For example, when any field constituting the medical data includes text of 'radiation film (anti-magnetic) / payout / 1,010', the identification unit 210 detects' radiation film (magnetic) 'Can be identified as the first meaningful text because there is a text group to which the' radiation film 'belongs.

At this time, the processing unit 220 may search the database for a code corresponding to the text group to which the first significance text belongs, and replace the first meaningful text using the retrieved code. That is, when replacing the first significant text with a code, the processing unit 220 may search for a first significant text in the database and replace it with a code corresponding to a text group including the first significant text. For example, the processing unit 220 may search the database for a code ('A1' in FIG. 3) of the text group to which the 'radiographic film (ID)' identified as the first significant text belongs. Then, the processing unit 220 may replace 'A1' in place of the first meaningful text 'radiation film (magnetic)' in the text 'radiation film (anti-magnetic) / payout / 1,010' created as medical data. That is, the processing unit 220 can process '[A1] / salary / 1,010' for 'radiation film (anti-magnetic) / salary / 1,010'. At this time, the processing unit 220 may append square brackets to the front and back of the code.

In addition, the processing unit 220 may search the database for a text group corresponding to the code, and may reverse the code using a second meaningful text representing the searched text group. That is, the processing unit 220 may replace the text (representative text) designated as a representative of the text group retrieved from the database with the code as the second significant text. For example, the processing unit 220 may select 'radiation film (anti-magnetic)' as a representative of the text group corresponding to the code 'A1' in '[A1] / payroll / 1,010' Can be substituted for the corresponding place. That is, the processing unit 220 may process '[A1] / salary / 1,010' as 'radiation film (anti) / salary / 1,010'.

Here, the representative text may be a word commonly used in the medical industry, that is, a representative word for each domain and an easily understandable word. In addition, the representative text may be determined according to the characteristics of the bottle / clinic. For example, the representative text may be determined in text written in Korean in the case of a geriatric hospital or a pediatric clinic having many child patients.

In addition, the processing unit 220 assigns a ranking to each of a plurality of texts belonging to the text group according to the frequency of use for a predetermined period of time, and assigns the text with the highest ranking to a second significance text . For example, the higher the frequency of use, the higher the ranking is, and the highest ranking text can be set as the second significant text. In FIG. 3, 'radiation film' is selected as the text representing the code 'A1', but if the radiation film is used more frequently than the radiation film during a predetermined period, If it is a high ranking, the text representing code 'A1' may be 'radiation film (anti-magnetic)'.

The processor 220 may also reverse the code using the first semantic text identified from the medical data if a representative second semantic text is not set for the searched text group. In other words, the processing unit 220 can reverse code the first significant text if the second significant text is not set. For example, if the second significance text representing '[A1] / salary / 1,010' is not set, the first significance text replaced with 'A1' can be reversed. That is, the processing unit 220 can process '[A1] / salary / 1,010' as 'radiation film (anti-magnetic) / salary / 1,010'.

This apparatus 100 for coding medical data can improve the recognition rate of the barcode by reducing the size of the medical data by providing a barcode in which one or more texts are replaced with codes in the medical data.

FIG. 4 is a diagram illustrating a process of coding medical data using the medical data coding apparatus according to an embodiment of the present invention. Referring to FIG.

The encoding device 410 may be used to perform an inspection such as' X-ray transmission through the human body, such as X-ray, X-ray, x-ray, x-ray, x-ray, X-ray, X- ≪ / RTI > < RTI ID = 0.0 > and / or < / RTI > Here, the encoding device 410 may identify (401) the text contained within the text group (i.e., the first significant text) in the medical data created from the veterinary clinic server 420. For example, if the text " X-ray treatment cost " is created as medical data in the veterinary clinic server 420, the encoding device 410 can identify the X-ray as the first meaningful text.

Next, the encoding apparatus 410 may replace the code of the text group including the first significance text 'X-ray' with the first significance text (402, 403). In other words, the text 'X-ray treatment fee' can be replaced with '[A01] treatment fee'.

Next, the veterinary clinic server 420 may encode medical data in which the first meaningful text is received, and output a barcode (operation 404). For example, the veterinary clinic server 420 may output a barcode containing medical data of '[A01] treatment fee' to a paper document.

Next, the pharmacy / insurance company server 430 may scan the barcode in the paper document (405).

Next, the encoding device 410 may extract the code for the scanned medical data at the pharmacy / insurance company server 430 (406). That is, the encoding apparatus 410 can extract the code '[A01]'.

Next, the encoding device 410 may replace the code in the text group corresponding to the extracted code, that is, the text representing the text group (i.e., the second significant text) (407). For example, the encoding device 410 may encode the text 'X-Ray, X-Ray, xRay, X Ray, X-ray, X-ray, X- X-Ray 'can be substituted for the code position of' [A01] Therapy fee 'because' X-Ray '

Next, the pharmacy / insurance company server 430 may receive the 'X-Ray treatment fee' replaced with the representative text (408).

5 is a workflow diagram specifically illustrating a method of coding medical data according to an embodiment of the present invention.

First, a method of coding medical data according to the present embodiment can be performed by the above-described medical data coding apparatus 100. [

First, the medical data coding apparatus 100 identifies a first meaningful text 210 from medical data created at the veterinary clinic server. That is, step 210 may be a process of identifying a meaningful text in the medical data as the first significant text. For example, the encoding device 100 may identify 'antibiotics' as the first meaningful text if the text 'antibiotics' in the patient's prescription created in the bottle / clinic server is significant.

In addition, step 210 may identify the medical care text recorded in the medical care field among the fields constituting the medical data as the first significant text. In other words, the encoding apparatus 100 can identify the medical treatment text on the medical care field in which the medical record is created as the first significant text. For example, the encoding apparatus 100 may identify 'asthma' as the first meaningful text when the text 'asthma' created as a diagnosis name in the medical care field is significant.

Next, the medical data coding apparatus 100 replaces the first significance text with a code to reduce the size of the medical data before encoding the medical data into a barcode (220). That is, step 220 may replace the first significant text identified from the medical data with a code. Here, the code may be composed of a combination of at least one of letters and numbers. For example, the code could be 'A01', 'ST02M46', '814097', and so on.

According to the embodiment, upon substitution with the code, the encoding device 100 may add a special symbol to the medical data to distinguish the code. In other words, when the encoding device 100 replaces the first significance text with a code, the code including the special symbol may be added to the medical data. Here, the special symbols may be symbols such as brackets ([]), braces ({}), and the like. For example, the encoding apparatus 100 can distinguish codes by appending '[ST02M46]' to the medical data such that the brackets are positioned at the beginning and end of the code.

According to an embodiment, the encoding device 100 decodes the medical data as the barcode is scanned by the pharmacy / insurance server, reversing the code in the decoded medical data with a second significant text, The size of the medical data can be restored. That is, when the barcode outputted to the recording medium is scanned by the pharmacy / insurance server, the encoding device 100 can replace the code that was replaced with the first meaningful text, with the second meaningful text. For example, when the barcode is scanned to decode the medical data, the encoding apparatus 100 may decode the code ST02M46 'in the [ST02M46]' to the second significant text and decode it.

According to the embodiment, the encoding apparatus 100 can keep a plurality of texts having the same meaning but different notations in a text group and store them in a database. At this time, step 210 may identify any text included in the medical data as the first significant text, if the text belongs to at least one text group maintained in the database. That is, the encoding apparatus 100 can keep a group of texts in the database including at least one text having a different notation but the same meaning, and can identify the text included in the group of texts retained from the database as the first significant text.

For example, when any field constituting the medical data includes text of 'radiation film (anti-magnetic) / salary / 1,010', the encoding apparatus 100 detects 'radiation film (magnetic)' Quot; radiographic film (anti-magnetic) " can be identified as the first significant text.

According to an embodiment, the encoding apparatus 100 may be configured to retrieve, from the database, a code corresponding to a text group to which the first significance text belongs, To replace the first meaningful text. That is, the encoding device 100 allows a group of text per code to be mapped and maintains this group of text in the database, i.e., when the encoding device 100 replaces the first significant text with a code, May be retrieved from the database and replaced with code corresponding to a text group containing the first significant text.

For example, the encoding apparatus 100 may search the database for the code of the text group to which the 'radiation film (magnetic)' identified as the first significant text belongs. Then, the encoding apparatus 100 may replace 'A1' in place of the first meaningful text 'radiation film (anti-magnetic)' in the text 'radiation film (anti-magnetic) / payout / 1,010' created as medical data. That is, the encoding apparatus 100 can process '[A1] / salary / 1,010' for 'radiation film (anti-magnetic) / salary / 1,010'. At this time, the encoding apparatus 100 can append square brackets to the front and back of the code.

According to the embodiment, the encoding apparatus 100 can determine the length of the code according to the frequency of use of a plurality of texts belonging to the text group. That is, the encoding apparatus 100 can determine the code length of the text group including the frequently used text code to be shorter than the code length of the text group to which the low-frequency text belongs.

Here, the shortness of the code may mean that the number of letters or numbers is small in a code composed of one or more letters or numbers. For example, the encoding apparatus 100 may determine the code of the text group having the use frequency of '19820' to be shorter than that of the code group 'H2400' of the text group having the use frequency of '258'.

According to an embodiment, the encoding device 100 can keep the codes in the database in correspondence with each of the text groups. At this time, the encoding apparatus 100 may search the database for a text group corresponding to the code, and may reverse the code using a second meaningful text representing the retrieved text group. That is, the encoding device 100 may cause a group of text per code to be mapped, maintain such a group of text in the database, and replace the text specified as representative of the text group retrieved from the database with a second significant text .

For example, the encoding apparatus 100 may select a 'radiation film (anti-magnetic)' as a representative of the text group corresponding to the code 'A1' in '[A1] / payroll / 1,010' In place of the corresponding place. That is, the encoding apparatus 100 can process '[A1] / salary / 1,010' as 'radiation film (anti) / salary / 1,010'.

According to the embodiment, the encoding apparatus 100 assigns a ranking to each of a plurality of texts belonging to the text group according to the frequency of use for a predetermined period, and assigns the text with the highest ranking to the text group representing the text group The second meaningful text can be set. For example, the encoding apparatus 100 may assign a higher ranking as the frequency of use is higher, and may set the text of the highest ranking as the second significance text.

According to an embodiment, the encoding device 100 can reverse the code using the first significant text identified from the medical data if a representative second significant text is not set for the searched text group have. In other words, the encoding device 100 may reverse code the first significance text if the second significance text is not set. For example, if the second significance text representing '[A1] / salary / 1,010' is not set, the first significance text replaced with 'A1' can be reversed. That is, the encoding apparatus 100 can process '[A1] / payroll / 1,010' as 'radiation film (anti-magnetic) / payroll / 1,010'.

Such a coding method of medical data can improve the recognition rate of the barcode by reducing the size of the medical data by providing a barcode in which one or more texts are replaced with codes in the medical data.

The method according to an embodiment of the present invention may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

100: Coding device for medical data
110:
120:
130:

Claims (16)

A storage unit for grouping a plurality of texts having the same meaning but different in notation into a text group, associating a code with each of the text groups and storing the same in a database;
An identification unit for identifying a first meaningful text from medical data created at the bottle / clinic server; And
A processing unit for reducing the size of the medical data by replacing the first significant text with a code before encoding the medical data into a barcode,
Lt; / RTI >
As the barcode is scanned by the pharmacy / insurance server,
Wherein,
Decoding the medical data, wherein a text group corresponding to the code in the decoded medical data is retrieved from the database,
Setting a text having the highest ranking given in accordance with the frequency of use for a predetermined period among a plurality of texts belonging to the retrieved text group as a second meaningful text representative of the text group,
Decodes the code in the medical data into the second significant text to restore the size of the medical data
Encoding device for medical data.
The method according to claim 1,
Wherein,
Identifying a medical care text recorded in a medical care field among the fields constituting the medical data as the first significant text
Encoding device for medical data.
The method according to claim 1,
Wherein,
If any text contained in the medical data belongs to at least one text group maintained in the database, identifying the arbitrary text as the first significant text
Encoding device for medical data.
The method according to claim 1,
Wherein,
Searching the database for a code corresponding to a text group to which the first significance text belongs and replacing the first significance text using the retrieved code
Encoding device for medical data.
5. The method of claim 4,
Wherein,
The length of the code is determined according to the frequency of use of a plurality of texts belonging to the text group
Encoding device for medical data.
The method according to claim 1,
Wherein,
When substituting with the code, adding a special symbol for distinguishing the code to the medical data
Encoding device for medical data.
delete delete delete The method according to claim 1,
If the second meaningful text representative of the searched text group is not set,
Wherein,
Using the first significance text identified from the medical data to reverse the code
Encoding device for medical data.
A method of coding medical data implemented by an apparatus for encoding medical data,
Grouping a plurality of texts having the same meaning and different notations into a text group in the apparatus for encoding medical data, and associating the codes with each of the text groups and keeping the codes in a database;
Identifying, in the encoding device for the medical data, a first meaningful text from medical data created at the patient / clinic server;
In the encoding device of the medical data, replacing the first significant text with a code prior to encoding the barcode into the barcode for the medical data;
Decoding the medical data as the barcode is scanned by the pharmacy / insurance server in the encoding device of the medical data;
Retrieving, in the database, a text group corresponding to the code in the decoded medical data, in the encoding device of the medical data;
Setting, in the encoding device of the medical data, a text having a highest ranking given in accordance with the frequency of use for a predetermined period among a plurality of texts belonging to the retrieved text group to a second meaningful text representing the text group ; And
Reversing the code in the decoded medical data with the second significance text in the encoding device of the medical data to restore the size of the medical data
Gt; a < / RTI >
12. The method of claim 11,
Wherein identifying the first semantic text comprises:
Identifying any text as the first significant text if any text contained in the medical data belongs to at least one text group maintained in the database
Gt; a < / RTI >
12. The method of claim 11,
Wherein replacing the first significant text with a code comprises:
Searching the database for a code corresponding to a text group to which the first significance text belongs; And
Replacing the first significant text with the retrieved code
Gt; a < / RTI >
14. The method of claim 13,
Wherein maintaining in the database comprises:
Determining a length of the code according to a frequency of use of a plurality of texts belonging to the text group
Gt; a < / RTI >
delete delete
KR1020150094287A 2015-07-01 2015-07-01 Device and method for coding of medical data KR101659742B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020150094287A KR101659742B1 (en) 2015-07-01 2015-07-01 Device and method for coding of medical data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150094287A KR101659742B1 (en) 2015-07-01 2015-07-01 Device and method for coding of medical data

Publications (1)

Publication Number Publication Date
KR101659742B1 true KR101659742B1 (en) 2016-09-26

Family

ID=57068348

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150094287A KR101659742B1 (en) 2015-07-01 2015-07-01 Device and method for coding of medical data

Country Status (1)

Country Link
KR (1) KR101659742B1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102627463B1 (en) 2022-12-19 2024-01-23 주식회사 비플러스헬스케어 Artificial intelligence medical examination and medical record generation system and method thereof

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040096484A (en) * 2004-09-22 2004-11-16 주식회사 이지다큐 Two dimension barcode for use precription error/counter prevent system and operation method
KR20140034468A (en) * 2012-09-12 2014-03-20 한국후지쯔 주식회사 Apparatus and method for generating electron form in medical information system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040096484A (en) * 2004-09-22 2004-11-16 주식회사 이지다큐 Two dimension barcode for use precription error/counter prevent system and operation method
KR20140034468A (en) * 2012-09-12 2014-03-20 한국후지쯔 주식회사 Apparatus and method for generating electron form in medical information system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102627463B1 (en) 2022-12-19 2024-01-23 주식회사 비플러스헬스케어 Artificial intelligence medical examination and medical record generation system and method thereof

Similar Documents

Publication Publication Date Title
Emanuel et al. An ethical framework for global vaccine allocation
US9754076B2 (en) Identifying errors in medical data
US20190268340A1 (en) Method and apparatus generating and applying security labels to sensitive data
US10891352B1 (en) Code vector embeddings for similarity metrics
US20160147943A1 (en) Semantic Address Parsing Using a Graphical Discriminative Probabilistic Model
US11461496B2 (en) De-identification of electronic records
CN110782973B (en) Medical image information grading storage method and device, computer equipment and medium
G Pitman Quality of referral: what information should be included in a request for diagnostic imaging when a patient is referred to a clinical radiologist?
US20140100865A1 (en) Intelligent eligibility request and response
KR101659742B1 (en) Device and method for coding of medical data
CN109830285A (en) A kind of medical image document handling method and device
Li et al. Automated extraction of radiation dose information from CT dose report images
US20220237776A1 (en) Training procedure and system for artificial intelligence intended for the analysis of mammographic data for the identification or exclusion of the presence of breast cancer
US10380320B2 (en) Data restructuring for consistent formatting
CN110377561A (en) A kind of file management method and device
US20230085697A1 (en) Method, apparatus and computer program product for graph-based encoding of natural language data objects
US10114860B1 (en) Computerized case management system with auto-generated memorable case identifiers
WO2018073707A1 (en) System and method for workflow-sensitive structured finding object (sfo) recommendation for clinical care continuum
CN109325105B (en) Code matching method, device and storage medium
Mabotuwana et al. Detecting technical image quality in radiology reports
CN110709941B (en) Intelligent organization of medical research timelines through order codes
Zech Using BERT Models to Label Radiology Reports
Hong et al. Radiological clinical practice guidelines published in the last decade: a bibliometric analysis
JP2000293602A (en) Electronic chart system
US20090132254A1 (en) Diagnostic report based on quality of user's report dictation

Legal Events

Date Code Title Description
GRNT Written decision to grant
FPAY Annual fee payment

Payment date: 20190821

Year of fee payment: 4