KR101386514B1 - Electronic medical information managing system - Google Patents

Abstract

The present invention relates to an electronic medical information generation system and a recording system, wherein the electronic medical information management system according to the present invention is based on the medical record data of the patient, visit information, symptom information, examination information, death information, diagnostic information, prescription information An information extraction unit for extracting medical information including at least one of surgery information, treatment information, and treatment plan; A relationship inference unit for inferring a temporal relationship between the medical information and a causal relationship; The medical information is placed on the wing according to the mutual causal relationship by using an expression model having a wing on at least one side based on an arbitrary time point on the timeline, and arranged on the timeline according to the temporal prognostic relationship. A visualization unit for visualizing the medical information; And a display unit for displaying the visualized representation model. Through this, it is possible to faithfully reflect the recorded medical information and easily grasp the organic relationship of the medical information.

Description

ELECTRICAL MEDICAL INFORMATION MANAGING SYSTEM

The present invention relates to an electronic medical information management system, and more particularly, to an electronic medical information management system for computerizing and recording medical information so as to electronically manage a medical record of a patient.

Various medical institutions systematically store and manage the medical records of patients in order to accurately diagnose the patients and quickly understand the condition of the patients. In the related art, because the document was recorded and documented on a chart such as a medical record card, it was inconvenient to search and store the record.

Recently, however, a number of medical institutions have introduced the Electronic Medical Record System (EMR) to solve the above problems. EMR is a system for electronically managing medical records recorded on existing paper media, and computerizes various medical information such as basic information of patients, medical history, drug reactions, health status, examination and admission / discharge records, and image information. Collectively known as a system. By establishing a computerized system of medical information, it is possible to improve the work efficiency of hospitals, prevent accidental medical accidents, and use it as a basic infrastructure to promote the informatization of national health records. have.

Figure 1 is an example for showing the computerized results of the existing medical information created by using a conventional method. Referring to FIG. 1, two CTs are captured. In the original medical record, the first Brain CT (a) was taken when a sudden Lt weakness (c) occurred and visited the emergency room (ER), and the second CT (b) was Rt BG on the first Brain CT (a). ICH with IVH, ie right basement membrane intracranial hemorrhage with ventricular hemorrhage, reduced to EBD to Rt, motor power Gr 0 during control of blood pressure (BP) (d) Appears, and the motor power is reduced to zero, which means the picture is taken.

However, when looking at the results computerized by the conventional method, the Test items are marked with Brain CT and CT, and the items corresponding to the aforementioned processes are separately displayed for each item, and a series of original records of medical records are shown. Is not reflected, so the organic relationship between the two cannot be easily recognized. Therefore, it is difficult to determine why the CT was taken twice unless the computerized results are closely examined.

In this way, the medical records computerized by the conventional method can not know the interrelationship of the medical information (prospective relationship, mutual causal relationship, etc.), so only the recorded doctor can grasp the relationship. It is difficult to correlate.

In addition, despite the time-related information, the time is not clearly expressed, for example, postop (post operation) in the case of postoperative (post operation) information that should be expressed after the operation after the operation, There was a disadvantage that such information is not displayed in the process of computerization, and thus the medical record cannot be faithfully reflected.

In addition, the conventional method displays medical information on a timeline with regular intervals, so periods without a hospital record are displayed as blanks, so when the entire record of the patient is unintentionally crossed or zoomed in, it is necessary to look at it. Hassle has existed.

Therefore, there is a need for computerization by reflecting the organic relationship between medical information without missing any medical information recorded during the computerization work, and by providing a model that effectively visualizes medical information, it is possible to quickly identify the patient's condition. There is a need for a concrete plan.

The present invention has been proposed to solve the above problems, to provide an electronic medical information management system that computerized using a visual expression model that can faithfully reflect the recorded medical information, and can effectively represent the medical information will be.

The above object is in the electronic medical information management system according to an aspect of the present invention, based on the medical record data of the patient, visit information, symptom information, examination information, death information, diagnosis information, prescription information, surgery information, treatment information And an information extraction unit for extracting medical information including at least one of the treatment plans. A relationship inference unit for inferring a temporal relationship between the medical information and a causal relationship; The medical information is placed on the wing according to the mutual causal relationship by using an expression model having a wing on at least one side based on an arbitrary time point on the timeline, and arranged on the timeline according to the temporal prognostic relationship. A visualization unit for visualizing the medical information; And it can be achieved by the electronic medical information management system comprising a display unit for displaying the visualized representation model.

On the other hand, the visualization unit is arranged on the one wing of the expression model to cause the information of the medical information, the other wing to place the information corresponding to the result corresponding to the cause to visualize the medical information of the patient It can be effectively identified. Therefore, the one wing has information about the patient's condition, the other wing has information about the corresponding medical staff, or the one wing has information on the prescription, surgery, treatment, etc. of the medical staff, and Information about the reaction or condition may be placed on the other wing. Furthermore, information on weak causal or posterior relations between each other may be arranged and visualized on the one wing and the other wing. For example, specific information may be configured to be disposed on the one wing and the other wing, or alternatively, the user may be configured to select a single or multiple pieces of information disposed on each of the one wing and the other wing. In addition, the wings may be arranged at the left and right as well as up and down or at an angle, and the aspects may be arranged symmetrically or asymmetrically to obtain different visual effects. In addition, the single wing or the other wing can be arranged a single information or a plurality of information, and when a plurality of information is arranged in the arrangement of them can also obtain a variety of visual effects in a vertical manner. On the contrary, in the expression model, three or more wings such as one side, the other side, and the third side may be used to arrange various information similarly to the case where the two wings above are used. In addition, three or more wings may be arranged one by one or two on the left or right, or may be freely selected by the user. In addition, regardless of the number of wings used by the expression model, one wing may be configured to initiate only a single specific information, but if necessary, a plurality of information may be simultaneously or sequentially started. In this case, the other wing or the third wing may also be configured to start information corresponding to the information starting from the one wing.

The visualization unit may visually determine and visually determine the time interval of the timeline according to the distribution of the expression model.

In addition, any one time point on the timeline may be expressed by including at least one of a language including a specific time and a temporal concept of year, month, day, and hour, thereby further enhancing the contents of the medical record data. Can you reflect that?

Preferably, the display unit may selectively display the expression model or information disposed in the expression model in response to a user input. In addition, the display unit may selectively display a variety of information using a conventional two-dimensional display as well as a known three-dimensional display, holography and the like. Accordingly, the visualization unit and the expression model also faithfully reflect the recorded medical information by expressing an arbitrary point in time on the timeline in three dimensions so as to conform to aspects such as a 3D display or holography. It can be configured for easy identification.

In addition, it provides a menu that provides the user with a categorized tag menu to receive medical information of at least one of the hospital information, symptom information, examination information, death information, diagnosis information, prescription information, surgery information, treatment information and treatment plan The apparatus may further include a portion, wherein the information extracting unit extracts the medical information based on the contents input to the tag menu.

As described above, according to the present invention, an organic model of medical information can be grasped by introducing an expression model having a wing on at least one side and arranging medical information on the wing portion to reflect mutual causality.

In addition, according to the present invention, it is possible to effectively display the medical information of the patient by displaying the medical information on the timeline in which the interval is determined to be flexible, and including an optional information providing function.

1 is an example for showing the computerized results of the medical information previously created using a conventional method;
2 is a block diagram of an electronic medical information management system according to an embodiment of the present invention;
3 and 4 are examples for explaining the operation of the information extraction unit and the relationship inference unit;
5 is an example of an expression model used in the visualization unit;
6 and 7 are examples for explaining how to determine the medical information displayed on the wing of the expression model; And
8 illustrates an example of visualizing medical information by arranging an expression model on a timeline in a visualization unit.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings.

2 is a block diagram of an electronic medical information management system according to an embodiment of the present invention.

2, the electronic medical information management system according to an embodiment of the present invention, the information extraction unit 10, the relationship inference unit 20, the visualization unit 30, the display unit 40, and the menu providing unit ( 50).

The information extraction unit 10 extracts various medical information to be displayed on the timeline based on the medical record data of the patient. Medical information refers to general information related to medical care such as a patient's medical history, symptoms, and treatment information. For example, medical information includes medical information, symptom information, and examination information (test plan, test result, test procedure, etc.). Related inspection information), death information, diagnosis information (diagnosis plan, diagnosis procedure, diagnosis-specific information, diagnosis results such as diagnosis results), prescription information (prescription plan, prescription procedure, prescription specifics, prescription results, etc.) General information), surgical information (surgical plan, surgical procedure, surgical results, surgical specific information such as surgical specifics), treatment information (treatment information such as treatment plan, treatment results, etc.). In addition, the medical information may also include a temporal concept corresponding to each information. In this regard, when symptom information is described as an example, the symptom information includes not only a symptom of a headache, but also information related to a temporal concept of when the symptom started when.

The information extraction unit 10 stores software related keywords for each category in advance so as to extract meaningful medical information to be displayed on the timeline in advance, and is programmed to process the medical record data of the patient based on the information. May be implemented.

The relationship inference unit 20 infers the temporal posterior relationship and the causal relationship of the medical information extracted by the information extraction unit 10. That is, the relationship inference unit 20 grasps the temporal order of events generated based on the temporal concept included in the medical information and the expression order of the patient medical record data. In addition, it is possible to infer a mutual causal relationship between medical information based on the context expressed in the patient medical record data, the type and content of the medical information included. For example, the relationship inference unit 20 may infer for the purpose of any action when expressed in the medical record data as 'to do', and when it is expressed as 'discharge and to be discharged', Can be inferred from information.

To this end, the relationship inference unit 20 stores a predetermined set of analysis criteria such as expression context and basic relations of various medical information, and executes a software (not shown) programmed to analyze and process medical record data accordingly. It may be implemented including a processor (not shown). For example, an ontology can be built in relation to the relationship of medical information, and the causal relationship between the medical information can be inferred based on the ontology.

Hereinafter, operations of the information extractor 10 and the relationship inference unit 20 will be described in detail with reference to FIGS. 3 and 4. 3 and 4 are diagrams for explaining a series of processes for processing the medical record data of the patient in the information extraction unit 10 and the relationship inference unit 20.

3, an example of medical record data of a patient is shown. The information extraction unit 10 reads the medical record data, and extracts meaningful medical information to be displayed on the timeline based on the information, and the relationship inference unit 20 uses the time of occurrence of each event and the contextual representation of the medical record data. Identify organic relationships between medical information. For example, the information extracting unit 10 uses' headache 'and' visual disturbance 'as symptom information of the patient,' local NS visit 'and' pf. U '(follow up)', 'ADM (admission)' refers to visitation information, 'Br. 'Brain MRI' and 'MRI' are test information, 'R / O CRP (craniopharyngioma) findings' are diagnostic information, and 'NTR of tm (near total reseaction of tumor) implementation' is surgery Information, 'V / F (Visual Field) Rt. Blindness (right eye blindness), Lt.med.upper quaranopsia (left upper limb lean)', 'recurrent crystic mass (showing recurrent cyst mass)' The result information, 'ommaya reservoir insertion with STR (harm) is extracted medical information as the purpose information.

The relationship inference unit 20 visited 'local NS' due to the symptoms of 'headache' and 'visual disturbance' at 02.7, and 'R / O CRP' on 'Br.MRI' photographed due to the above symptoms. Findings, and at 02.9, 'Ph.Dae-Hee Han was admitted through an outpatient' procedure to perform 'NTR of tm' surgery, that is, the temporal relationship between the medical information in a series of processes from symptom manifestation to surgery. Identify causality. In addition, 'V / F Rt / blindness' and 'Lt.med.upper quaranopsia' results were found in 'postOP' and 'recurrnet cystic mass' was observed in 'MRI'. As a result, the organic relationship between medical information, such as the cause of hospitalization, the cause of hospitalization, and the purpose of hospitalization after surgery is identified.

4 is a table showing a state in which the medical record data of the patient is processed through the information extraction unit 10 and the relationship inference unit 20. Referring to FIG. 4, various medical information are classified by categories according to a predetermined criterion through the information extraction unit 10, and the temporal and posterior relations and mutual causal relations inferred through the relationship inference unit 20 are reflected. Listed. Meanwhile, the unit for extracting medical information and the criteria for classifying the extracted medical information may be variable. For example, the information of 'headache' and 'visual disturbance' may be extracted as a symptom information as a unit, but the two may be separately extracted because they are different symptoms as headaches and visual disturbances, respectively. On the other hand, the medical information category, which is the classification standard of the medical information, may be further divided or simplified as compared to the classification in the table of FIG. 4.

Referring back to FIG. 2, the visualization unit 30 arranges medical information on a wing using an expression model having wings based on an arbitrary time point on the timeline, and lists each expression model on the timeline to provide medical information. Visualize.

5 illustrates an example of an expression model used in the visualization unit 30.

Referring to FIG. 5, the expression model has a shape having wings on at least one side with respect to one time point on the timeline. In this case, at a point in time on the timeline, a meaning including a temporal concept among medical information of the medical record data may come. For example, not only when the date, month, and day are specifically written, such as '12 .1.31 ', but also part of the year, month, and day is written, or the concept of time is included, such as' mid March'. Even if the period is unclear, it may be represented as a point in time. In addition, the linguistic information that can determine the passage of time based on a specific event, such as 'post operation', is also expressed at a point in timeline that is a standard of expression model. Minimize omissions and help identify the patient's condition. For example, the time interval according to the progress of the treatment, the time interval according to the prescription, or the time interval following the surgery may be fluidly determined and visualized according to the distribution chart. Thus, for example, any temporary point in the treatment may include specific information such as a diagnosis count, a diagnosis method, a diagnosis result, an operation count, an operation method, an operation result, a type of drug to be administered, a number of drug administrations, a result of drug administration, or the like. The prescription date and time may be expressed in a language that includes the concept of a specific term, such as the number of drug administration, the total amount of drug administration, the type of drug administered, the amount of each drug administered, the order of administration, the result of administration, or the like. It may be expressed in a language containing, and the temporary point of operation may be expressed in a language containing specific information such as whether the operation, the surgical site, the number of operations, the operation result, or a concept corresponding thereto.

On the other hand, a variety of medical information extracted by the information extraction unit 10 is expressed on the wing of the expression model. Each wing of the expression model displays medical information reflecting the organic relationship inferred by the relationship inference unit 20. For example, the left wing of the expression model displays information on the cause or problem of hospitalization, hospitalization, etc., and the right wing displays information related to the results or specific actions of tests, diagnosis, surgery, treatment, etc. corresponding to the cause. The causal relationship between medical information can be easily identified. In this case, when there is no information corresponding to each other, it may be displayed alone on one wing of the expression model. In addition, the expression model may be visualized by changing the colors for easy understanding and readability of the relationship between medical information. For example, the category of medical information displayed on the left wing of the expression model is red, and the category of medical information displayed on the right wing is blue. .

In addition, the content displayed on the wing of the expression model is not simply determined by the type of medical information extracted from the information extraction unit 10 but specifically determined by reflecting the relationship between medical information inferred by the relationship inference unit 20. do. Two cases will be described as an example.

6 and 7 are examples for explaining how to determine the medical information displayed on the wing of the expression model.

First, referring to FIG. 6, the patient had a 'headache, visual disturbance' symptom at 02.7, 'visited to local NS', and 'R / O CRP findings' on 'Br.MRI'. If the above medical record data is expressed as an expression model, 02.7 is the date of visit and it is expressed as a time point on the timeline. 'Headache, visual disturbance' is symptom information that causes hospitalization and is displayed on the left side, and 'Br.MRI' test was performed due to the above symptoms, and 'R / O CRP finding' is the diagnosis of the related doctor. Since the information is related to the right wing.

Referring to FIG. 7, the patient was treated with 'TG c Roux-en-Y anastomosis (Roux-en-Y anastomosis)' in '86 with 'AGC (advanced gastric cancer)'. When the above medical record data is expressed as an expression model, the year 86 is the time when the procedure was performed, so it is expressed as a time point on the timeline, and 'AGC' is the diagnostic information that causes the procedure. In this case, 'TG c Roux-en-Y anastomosis' is a means for treating 'AGC' and is information corresponding to a corresponding result or action, so it can be expressed in the right wing.

As shown in FIG. 6 and FIG. 7, 'headache, visual disturbance' and 'AGC' are all the same medical information categories classified as diagnostic information, but may be different from each other. As such, the electronic medical information management system according to the embodiment of the present invention can effectively represent the medical record data by visualizing the specific causal relationship of the medical information. On the other hand, the medical information represented in the expression model is not limited to the above embodiment, of course, a variety of medical information can be represented.

Hereinafter, a series of processes in which the expression model is arranged on the timeline according to the temporal dependency is described in detail with reference to FIG. 8.

8 illustrates an example of visualizing medical information by arranging an expression model on a timeline in the visualization unit 30.

Referring to FIG. 8, the patient's medical record data includes '86 (86) ',' postop '(after surgery),' From late 02.7 (from the end of July 2002) ', '02 .8 (August 2002)' Since four reference points exist, they can be represented by four expression models. The following section describes each expression model.

Since 'AGC' received 'TG c Roux-en-Y anastomosis' procedure in '86 in '86, 'AGC' is the diagnostic information that causes the procedure, so 'TG c Roux-en-Y anastomosis' is the cause of the procedure. Since it is a corresponding action, it is displayed on the right wing respectively.

The medical information corresponding to the postop, ie, postoperative time, is 'FAM # 3', which is displayed on the right wing because it is related to a result corresponding to a cause not specified in the medical record data.

The symptom information corresponding to 'Headache, visual disturbance' in 'From late 02.7' is the information that causes the visit, etc., so it is displayed on the left wing of the expression model, and the right wing is blank because there is no related information in the result corresponding to the same time. Will remain.

She visited SNUH NS at '02 .8 'and found' CRP impression 'as a result of' Br.MRI 'test, and' NTR of tm. 'Surgery was performed. Although there is no cause information corresponding to the same point in time, it is displayed on the right wing of the expression model because it is medical information corresponding to an action as examination information, diagnosis information, and surgery information determined based on any symptoms. At this time, there is nothing displayed on the left wing that is expressed at the same time, but when looking at the relationship between the expression models over the entire timeline, a series of behaviors of '02 .08 'is' headache, visual disturbance' in 'From late 02.7' It is easy to see that this was done for the reason.

Thus, according to the electronic medical information management system according to an embodiment of the present invention, by visualizing medical information using a simple expression model, it is possible to intuitively grasp the mutual causal relationship between medical information, and language information including a temporal concept. By expressing all on the timeline until there is an advantage that can faithfully reflect the medical record data of the patient.

In addition, the time interval of the timeline may be flexibly expressed according to the distribution of the expression model. For example, if the medical information is expressed at regular time intervals, more space is required in 1986 and 2002, so unnecessary space is required, and scrolling and zooming are required even when searching for medical records. However, the above problem can be solved by determining the wideness of the time interval in consideration of the distribution of the expression model.

Referring back to FIG. 2, the display unit 40 displays the representation model visualized through the visualization unit 30. On the other hand, the display unit 40 may facilitate the user by selectively displaying the expression model or medical information disposed in the expression model in response to the user's input. For example, when a user searches for contents related to specific medical information such as a specific period or a disease, the display 40 displays only an expression model corresponding to the user's input, or selectively displays medical information among information displayed on the wing of the expression model. You can provide information so that only the information of interest to you is shown.

In addition, the electronic medical information management system according to an embodiment of the present invention further includes a menu providing unit 50, visit information, symptom information, examination information, death information, diagnostic information, prescription information, surgery information, treatment information and treatment A categorized tag menu may be provided to a user to receive at least one medical information of the plan. Through this, the user may conveniently input the medical information according to the divided category, and the information extracting unit 10 may extract the medical information based on the information input in each tag menu. On the other hand, the tag menu can be further subdivided or simplified than the menu illustrated above.

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 embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

For example, in the above embodiment, although the expression model is expressed in a two-dimensional form, it may be visualized as an expression model having a multi-dimensional form, and the wing in which medical information is displayed may be formed in various forms such as a multilayer structure.

Accordingly, it should be understood that the scope of protection of the present invention is not limited to the technical ideas and equivalents defined in the following claims.

10: information extraction unit 20: relationship inference unit
30: visualization unit 40: display unit
50: menu provision

Claims (6)

Extracting information extracting medical information including at least one of hospitalization information, symptom information, examination information, death information, diagnosis information, prescription information, surgery information, treatment information and treatment plan based on the patient's medical record data part;
A relationship inference unit for inferring a temporal relationship between the medical information and a causal relationship;
The medical information is placed on the wing according to the mutual causal relationship by using an expression model having a wing on at least one side based on an arbitrary time point on the timeline, and arranged on the timeline according to the temporal prognostic relationship. A visualization unit for visualizing the medical information; And
It includes a display unit for displaying the visualized representation model,
The visualization unit arranges and visualizes the causative information of the medical information in one wing part of the expression model and visualizes the information corresponding to the result in the other wing part. .
delete The method of claim 1,
And the visualization unit visually determines and visualizes the time interval of the timeline according to the distribution of the expression model.
The method of claim 1,
And any one time point on the timeline includes at least one of a language including a specific time and a temporal concept of year, month, day, and hour.
The method of claim 1,
And the display unit selectively displays the expression model or information disposed in the expression model in response to a user input.
The method according to any one of claims 1 and 3 to 5,
The menu providing unit provides a user with a categorized tag menu to receive medical information of at least one of hospital information, symptom information, examination information, death information, diagnosis information, prescription information, surgery information, treatment information, and treatment plan. Including,
And the information extracting unit extracts the medical information based on the contents input to the tag menu.

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