KR102319741B1 - Clinical decision support system and method thereof - Google Patents

Abstract

Clinical decision support systems and methods are provided. A clinical decision support system according to an embodiment of the present invention includes: an input unit for receiving prescription information for a patient from a doctor; As the prescription information is input, the pre-entered patient information and the prescription information are transmitted to a medicine information database, and a clinical judgment result for the prescription information is received from the medicine information database, and the clinical judgment result is used as the clinical judgment result. an information acquisition unit that converts the information into a guide message corresponding to ; and a display unit configured to display the guide message in real time in response to the input of the prescription information.

Description

Clinical decision support system and method {CLINICAL DECISION SUPPORT SYSTEM AND METHOD THEREOF}

Embodiments of the present invention relate to a clinical decision support system and method for providing a clinical guide to a physician.

The Clinical Decision Support System is a system that supports the decision-making of the doctor by providing the doctor with basic knowledge for diagnosis or treatment of the patient. This is to prevent a doctor's misdiagnosis and enable a more objective medical practice by allowing a doctor to refer to a clinically verified clinical guide in addition to the doctor's subjective judgment in treating a patient.

However, the conventional clinical decision support system has a lot of cumbersome tasks in terms of a user interface and it is difficult to immediately provide the decision result to the doctor. has been of limited use as

Korean Patent Publication No. 10-2010-7020068 (2010.12.01)

Embodiments of the present invention are for providing a clinical judgment result obtained from a drug information database immediately to a doctor as the doctor inputs prescription information.

According to an exemplary embodiment of the present invention, there is provided an input unit for receiving prescription information for a patient from a doctor; As the prescription information is input, the pre-entered patient information and the prescription information are transmitted to a medicine information database, and a clinical judgment result for the prescription information is received from the medicine information database, and the clinical judgment result is used as the clinical judgment result. an information acquisition unit that converts the information into a guide message corresponding to ; and a display unit configured to display the guide message in real time in response to the input of the prescription information, a clinical decision support system is provided.

When a plurality of pieces of the prescription information are input from the input unit, the display unit may display a guide message for the prescription information for each prescription information.

The information obtaining unit determines the severity of the guide message according to the type of the clinical determination result, and the display unit sets and displays a different color of the guide message according to the severity, or an image indicating the severity , letters, numbers, symbols or figures may be displayed together with the guide message.

The display unit may display, along with the guide message, attribute information including at least one of a source, evidence, reliability, public availability, and alternative of the clinical judgment result.

The clinical decision support system may further include a rule engine that performs decision-making according to the prescription information based on one or more predefined rules.

The display unit may display a decision message indicating an action to be performed according to a result of the decision decision.

The display unit may display access information to a database or web page related to the execution of the action together with the decision message.

According to another exemplary embodiment of the present invention, the step of receiving, in the input unit, prescription information for a patient from a doctor; transmitting, in the information acquisition unit, the pre-input patient information and the prescription information to a medicine information database as the prescription information is input; receiving, in the information acquisition unit, a clinical judgment result for the prescription information from the drug information database; converting, by the information acquisition unit, the clinical judgment result into a guide message corresponding to the clinical judgment result; And in the display unit, in response to the input of the prescription information comprising the step of displaying the guide message in real time, a clinical decision support method is provided.

When a plurality of prescription information is input from the input unit, the step of displaying the guidance message in real time may include displaying a guidance message for the prescription information for each prescription information.

The clinical decision support method further includes, after receiving the clinical decision result, determining, in the information acquisition unit, the severity of the guide message according to the type of the clinical decision result, In the step of displaying the guide message in real time, the color of the guide message may be set differently according to the severity and displayed, or an image, letter, number, symbol or figure indicating the severity may be displayed together with the guide message.

In the step of displaying the guide message in real time, attribute information including at least one of a source, evidence, reliability, disclosure status, and alternative of the clinical judgment result may be displayed together with the guide message.

In the clinical decision support method, after the step of displaying the guidance message in real time, in a rule engine, decision-making according to the prescription information based on one or more predefined rules ) may further include the step of performing the

The clinical decision support method may further include, after performing the decision making, displaying, on the display unit, a decision message indicating an action to be performed according to a result of the decision decision.

In the displaying of the decision message, access information to a database or web page related to the execution of the action may be displayed together with the decision message.

According to embodiments of the present invention, by displaying a guide message corresponding to the clinical judgment result for the prescription information in real time in response to the input of the prescription information, the doctor can immediately determine whether the prescription information input by the doctor is appropriate. can be judged.

In addition, according to embodiments of the present invention, by displaying a guide message for prescription information for each prescription information, it is possible for a doctor to easily determine whether the prescription information is appropriate for each prescription information input by the doctor.

In addition, according to embodiments of the present invention, by setting and displaying the color of the guide message differently according to the severity of the guide message, the doctor can more quickly and intuitively check the guide message having a relatively high severity.

In addition, according to embodiments of the present invention, by performing rule-based decision-making on prescription information and displaying a decision message indicating an action to be performed afterward, a doctor can provide a prescription that meets the internal regulations, policies, etc. of the hospital itself. We can guide you to get off.

1 is a block diagram showing a detailed configuration of a clinical decision-making system according to an embodiment of the present invention;
2 is an exemplary diagram illustrating a process of determining the severity of a guide message in an information acquisition unit according to an embodiment of the present invention;
3 is an exemplary diagram of a guide message displayed on a display unit according to an embodiment of the present invention;
4 is an exemplary diagram of a guide message displayed on a display unit according to an embodiment of the present invention;
5 is an exemplary diagram of a guide message displayed on a display unit according to an embodiment of the present invention;
6 is an exemplary diagram of a guide message displayed on a display unit according to an embodiment of the present invention;
7 is an exemplary view of various images displayed on a display unit according to an embodiment of the present invention;
8 is an exemplary diagram of a rule stored in a rule storage according to an embodiment of the present invention;
9 is an exemplary diagram of prescription information and a decision message according thereto according to an embodiment of the present invention;
10 is an exemplary diagram of prescription information and a decision message according thereto according to an embodiment of the present invention;
11 is an exemplary diagram of prescription information and a decision message according thereto according to an embodiment of the present invention;
12 is an exemplary diagram of prescription information and a decision message according thereto according to an embodiment of the present invention;
13 is a block diagram illustrating and describing a computing environment including a computing device suitable for use in example embodiments;
14 is a flowchart illustrating a clinical decision support method according to an embodiment of the present invention;

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to provide a comprehensive understanding of the methods, apparatus, and/or systems described herein. However, this is merely an example and the present invention is not limited thereto.

In describing the embodiments of the present invention, if it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, the terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to intentions or customs of users and operators. Therefore, the definition should be made based on the content throughout this specification. The terminology used in the detailed description is for the purpose of describing embodiments of the present invention only, and should in no way be limiting. Unless explicitly used otherwise, expressions in the singular include the meaning of the plural. In this description, expressions such as “comprising” or “comprising” are intended to indicate certain features, numbers, steps, acts, elements, some or a combination thereof, one or more other than those described. It should not be construed to exclude the presence or possibility of other features, numbers, steps, acts, elements, or any part or combination thereof.

Also, in some embodiments, the network may be the Internet, one or more local area networks, wire area networks, cellular networks, mobile networks, other types of networks, or a combination of these networks. may include.

1 is a block diagram showing a detailed configuration of a clinical decision-making system 100 according to an embodiment of the present invention. 1, the clinical decision-making system 100 according to an embodiment of the present invention is connected to the medicine information database 150 through a network (not shown), and an input unit 102, an information acquisition unit ( 104 ), a display unit 106 , a rule engine 108 , and a rule repository 110 .

In the present embodiments, the medicine information database 150 is a knowledge base in which various data for clinical judgment is stored, for example, Lexi-Comp, Medscape, Micromedex, Pepid, Skyscape, etc. this can be Here, various types of data are used in a broad sense including textbook medical knowledge that can be used for clinical judgment, empirical knowledge of a doctor or pharmacist, and the like. In addition, information on the basis (reason) or source (source) of such medical knowledge may be stored in the medicine information database 150 . The basis for the medical knowledge may be obtained from, for example, an axiom, a thesis, an Adverse Drug Reaction (ADR) DB, etc. , the thesis title or number, etc. In addition, axiom means a proposition or theory that is obvious to those with ordinary knowledge in the medical industry, and the ADR DB means a database in which causes and types of drug side effects are stored.

As will be described later, the medicine information database 150 may receive patient information and patient's prescription information from the information acquisition unit 104 , and may output clinical judgment results based on the patient information and prescription information. To this end, the medicine information database 150 may provide an API (Application Programming Interface) for outputting the clinical judgment result to the information acquisition unit 104 . The drug information database 150 may derive clinical judgment results based on, for example, a rule based decision tree, an ontology based on medical knowledge, etc., but the drug information database 150 The method of deriving clinical judgment results in the present invention is not limited thereto.

The input unit 102 receives patient information and prescription information for the patient. First, the input unit 102 may receive patient information from an administrator. Here, the manager may be, for example, a hospital employee, a nurse, or the like. The patient information includes the patient's personal information (eg, age, gender, patient number, date of treatment, etc.), physical condition (height, weight, body surface area, pregnancy status, lactation status, etc.), medical history, drug prescription history, health Status, examination, hospitalization and discharge records, as well as patient complaints (e.g., cough, fever, sputum, muscle pain, etc.), whether or not allergic to Biopsy results, diabetes test results, etc.) and diagnostic results are used in a broad sense. The administrator may obtain patient information from the patient before the patient is treated by a doctor and input the information into the input unit 102 . In addition, the patient information may be managed by, for example, an electronic medical record (EMR) system (not shown), and the input unit 102 may receive the patient information from the electronic medical record system. .

Next, the input unit 102 receives prescription information for a patient from a doctor. After treating the patient, the doctor may input prescription information for the patient into the input unit 102 (or select specific prescription information from among various prescription information provided in advance). Here, the prescription information may be drug prescription information for treating a patient's symptoms, disease, etc., injection prescription information, or examination prescription information for examining a patient's symptoms or disease. The drug prescription information may include, for example, information about the type of drug to be prescribed, the dosage, the number of times of administration, the administration period, and the like. In addition, the injection prescription information may include, for example, information about a type of a drug to be injected, an injection amount, and the like. In addition, the test prescription information may include, for example, information about a body part or item to be tested, a laboratory, and the like.

As the prescription information is input through the input unit 102 , the information acquisition unit 104 may transmit pre-input patient information and the prescription information to the medicine information database 150 . As described above, the medicine information database 150 may receive the patient information and the patient's prescription information from the information acquisition unit 104 , and may output a clinical judgment result based on the patient information and the prescription information. The information acquisition unit 104 may receive a clinical judgment result for the prescription information from the medicine information database 150 . The clinical judgment result is information on whether the prescribing information is clinically appropriate, for example, “contraindicated”, “exceed maximum”, “not recommended”, “exceed usual high”, “extreme caution” ”, “use cautiously”, etc. may be included.

The information acquisition unit 104 may convert the clinical judgment result into a guide message corresponding to the clinical judgment result. As an example, when the clinical judgment result includes the phrases “exceed maximum”, “maximum single dose: 1,000 mg” and “usual daily dose: 50 to 5,400 mg”, the information acquisition unit 104 may determine the clinical judgment result The message “[Maximum single dose] The single dose of 1,500 mg exceeds the maximum single dose of 1,000 mg. The usual daily dose is 50 to 5,400 mg.” can be converted to As another example, when the clinical judgment result includes the phrase “contraindicated”, the information acquisition unit 104 transmits the clinical judgment result in the guidance message “[Taboo] Intrathecal administration is contraindicated.” can be converted to That is, the information acquisition unit 104 converts the clinical judgment result received from the medical information database 150 into a phrase or sentence that is intuitively easy to understand, and normalizes it according to a predefined format to generate a guide message. . The guide message may be preset and stored according to information, phrases, etc. included in the clinical judgment result.

In addition, the information acquisition unit 104 may receive the attribute information including one or more of the source, evidence, reliability, disclosure status and alternative (alternative) of the clinical judgment result from the drug information database 150 . As will be described later, the display unit 106 may display the attribute information together with the guide message.

Also, the information acquisition unit 104 may determine the severity of the guidance message according to the type of the clinical judgment result. The severity of the guidance message is an index indicating the degree of clinical risk of the prescription content included in the prescription information, and may be divided into, for example, 4 to 5 steps. As an example, the information acquisition unit 104 determines the severity of the guidance message as 4 when the phrase “contraindicated” is included in the clinical judgment result, and when the phrase “not recommended” is included in the clinical judgment result, corresponding If the severity of the guidance message is determined as 3, if the clinical judgment result includes the phrase “extreme caution”, the severity of the guidance message is determined as 2, and if the clinical judgment result includes the phrase “use cautiously” The severity of the guidance message may be determined as 1. The higher the severity of the guidance message, the more dangerous the prescription content included in the prescription information. As will be described later, the display unit 106 may display a different color of the guide message according to the severity, or display an image, letter, number, symbol or figure indicating the severity along with the guide message. . In this case, the doctor may intuitively determine whether the prescription information input by the doctor is appropriate by checking the color of the guide message, the image, the text, and the like, and may change or re-enter the prescription information accordingly.

The display unit 106 displays the guide message obtained by the information obtaining unit 104 in real time in response to the input of the prescription information. As described above, the information acquisition unit 104 may convert the clinical judgment result received from the medical information database 150 into a guide message corresponding to the clinical judgment result. Thereafter, the display unit 106 may immediately display the guide message. That is, the display unit 106 may display the guidance message before the doctor finally inputs the prescription according to the prescription information (ie, before actually giving the prescription). Accordingly, the doctor may check the guidance message immediately after inputting the prescription information, and may immediately determine whether the prescription information input by the doctor is appropriate. If it is determined that the prescription information is inappropriate, the doctor may change or re-enter the prescription information. In this case, the above-described process is repeatedly performed, and a guide message for changed or re-entered prescription information may be displayed in real time. As such, according to embodiments of the present invention, by displaying a guide message corresponding to the clinical judgment result for the prescription information in real time in response to the input of the prescription information, the doctor can determine whether the prescription information input by the doctor is appropriate. can be judged immediately. For real-time display of such a guide message, methods such as increasing the number of threads provided in a processor (not shown) inside the clinical decision-making system 100 or increasing the capacity of a cache memory (not shown) This allows the maximum amount of system resources to be secured.

In addition, when a plurality of prescription information is input from the input unit 102 , the information acquisition unit 104 receives clinical judgment results for each of the prescription information from the drug information database 150 , and corresponds to each of the clinical judgment results It can be converted into a guide message. Thereafter, the display unit 106 may display a guide message for the prescription information for each prescription information. That is, according to embodiments of the present invention, by displaying a guide message for prescription information for each prescription information, it is possible for a doctor to easily determine whether the prescription information is appropriate for each prescription information input by the doctor.

In addition, as described above, the information acquisition unit 104 may determine the severity of the guidance message according to the type of the clinical judgment result, and the display unit 106 sets the color of the guidance message differently according to the severity. can be displayed. As an example, the display unit 106 may display the guide message in a color with a higher saturation as the severity of the guide message increases. For example, assuming that the severity levels are divided into 4 levels, the display unit 106 sets the color of the guide message having the highest severity to red, and sets the color of the guide message having the next highest severity to orange. Then, the color of the announcement message having the next highest severity may be set to purple, and the color of the announcement message having the lowest severity may be set to black and displayed. That is, according to embodiments of the present invention, the color of the guide message is set differently and displayed according to the severity of the guide message, so that the doctor can more quickly and intuitively check the guide message having a relatively high severity. However, the method of indicating the severity of the guidance message is not limited thereto, and the display unit 106 may display, for example, an image, letter, number, symbol, or figure indicating the severity along with the guidance message.

In addition, as described above, the information acquisition unit 104 may receive attribute information including one or more of the source, evidence, reliability, disclosure, and alternative of the clinical judgment result from the medical information database 150, The display unit 106 may display the attribute information together with the guide message. As an example, when the information acquisition unit 104 receives the phrase “contraindicated” as a clinical judgment result and the phrase “pregnant” as the basis thereof from the medical information database 150, the display unit 106 displays the attribute information “[pregnancy ]” the prompt message “[Contraindications] Intrathecal administration is contraindicated.” can be displayed with

The rule engine 108 performs decision-making according to the prescription information based on one or more predefined rules. In the present embodiments, decision making refers to a process of selecting a specific action from among a set of actions based on prescription information, specifically, a process of determining an action to be performed later according to prescription information input by a doctor. . The rule engine 108 may make a decision according to the prescription information based on various rules stored in the rule storage 110 . The rules stored in the rule storage 110 may be, for example, a rule to check the residence time of an emergency room patient, a rule to limit the number of days prescribed for each patient's drug prescription, a rule to check whether a bronchoscopy is reserved, and the like. , the rules may vary according to the hospital's own bylaws, policies, and the like.

As an example, when a doctor inputs prescription information for prescribing a contrast medium CT scan to a patient with a low GFR (Glomerular Filtration Rate) result into the input unit 102 , the rule engine 108 is based on a predefined rule. By making a decision according to the prescription information, it is possible to derive a decision-making result that requires consultation with a nephrologist before the examination.

As another example, when a doctor inputs prescription information for prescribing a KCl 40meg/20ml drug into the input unit 102, the rule engine 108 makes a decision according to the prescription information based on a predefined rule. It is possible to derive a decision-making result that the drug should be diluted in an infusion solution and administered.

The display unit 106 may display a decision message indicating an action to be performed according to the decision-making result, for example, that the nephrologist should be consulted before the examination, that the drug should be diluted in an infusion solution, and the like. can If a plurality of prescription information is input from the input unit 102 , the display unit 106 may display a decision message for the prescription information for each prescription information. Also, the display unit 106 may display access information to a database (not shown) or a web page related to the execution of the action along with the decision message. As an example, the display unit 106 displays access information to a web page used to consult a nephrologist, access information to a database used to inquire a solution that can be mixed with a drug included in the prescription information, etc. It can be displayed with a decision message. Accordingly, the doctor can immediately perform the action to be performed according to the decision result in the rule engine 108 . As such, according to embodiments of the present invention, by displaying a decision message indicating an action to be performed after performing rule-based decision-making on prescription information, a doctor can prescribe a prescription that meets the internal regulations, policies, etc. of the hospital itself can guide you to get it down.

The rule repository 110 is a repository in which one or more rules necessary for making decisions in the rule engine 108 are stored. As described above, the rules stored in the rule storage 110 include, for example, a rule for checking the residence time of an emergency room patient, a rule for limiting the number of days of prescription for each patient, a rule for checking whether a bronchoscopy is reserved and the like, and the rules may vary according to the hospital's own bylaws, policies, and the like.

2 is an exemplary diagram illustrating a process of determining the severity of a guide message in the information acquisition unit 104 according to an embodiment of the present invention. As described above, the information acquisition unit 104 may determine the severity of the guidance message according to the type of clinical judgment result received from the medical information database 150 .

Referring to FIG. 2 , the information acquisition unit 104 may determine the severity of the guidance message as 4 if the phrase included in the guidance message is “contraindicated, exceeding maximum, prescription change recommendation, severe”, etc., and included in the guidance message. If the given phrase is “not recommended, overused, prescription review required, moderate”, etc., the severity of the guidance message can be determined as 3, and if the phrase included in the guidance message is “extreme caution, caution, mild”, etc. The severity of the guidance message may be determined as 2, and when the phrase included in the guidance message is “caution, information”, etc., the severity of the guidance message may be determined as 1. As described above, the display unit 106 may display a different color of the guide message according to the severity, or display an image, letter, number, symbol, or figure indicating the severity along with the guide message.

3 to 6 are exemplary views of a guide message displayed on the display unit 106 according to an embodiment of the present invention. As described above, the display unit 106 may display a guide message corresponding to the clinical judgment result in real time in response to the input of the prescription information.

Referring to FIG. 3 , when the prescription information input by the doctor includes “Warfarin 2mg”, the display unit 106 may display a guide message “[Pregnancy] [Contraindications] Placental transfer Yes”. In this case, since the guide message includes the phrase “contraindicated”, it may be determined that the severity is high and displayed in red.

In addition, referring to FIG. 4 , when the prescription information input by the doctor includes “Aspirin 500mg”, the display unit 106 displays the guidance message “[Pregnant] [Not recommended] Placental transfer Yes” and “ [Maximum single dose] The single dose of 1,500 mg exceeds the maximum single dose of 1,000 mg. The usual daily dose is 50 to 5,400 mg.” guide message can be displayed respectively. At this time, since the first guidance message contains the phrase “not recommended”, it is determined that the severity level is 3 and may be displayed in orange. It may be determined to be displayed in red.

In addition, referring to FIG. 5 , when the first prescription information including “Warfarin 2mg” and the second prescription information including “Aspirin 500mg” are sequentially input by a doctor, the display unit 106 displays the first A first guide message for prescription information and a second guide message for the second prescription information may be displayed for each prescription information. At this time, as a result of clinical judgment, the interaction between “Warfarin 2mg” included in the first prescription information and “Aspirin 500mg” included in the second prescription information (for example, a phenomenon in which side effects occur when both drugs are used together) When it is determined that the cause is caused, the display unit 106 may display a guide message “[Interaction] Prescription review request” included in the first guide message and the second guide message, respectively.

Also, referring to FIG. 6 , when the prescription information input by the doctor includes “Methylprednisolone 500mg”, the display unit 106 displays the guidance message “[administration route] [contraindications] Intrathecal administration is contraindicated” can be displayed. The guidance message indicates that the administration route of the drug included in the prescription information is incorrect. In this case, since the guide message includes the phrase “contraindicated”, it may be determined that the severity is high and displayed in red.

In addition, as shown in FIGS. 3 to 5 , the display unit 106 displays attribute information including one or more of the source, evidence, reliability, public availability, and alternative of the clinical judgment result together with the guide message. can The doctor may check the attribute information by clicking the set image, symbol, or the like.

7 is an exemplary diagram of various images displayed on the display unit 106 according to an embodiment of the present invention. As described above, the display unit 106 includes images, letters, numbers, symbols, or figures indicating the severity of the guidance message, the source of the clinical judgment result, evidence, reliability, disclosure or not, an image indicating alternatives, etc., letters, numbers, A symbol or a figure may be displayed together with the guide message.

Referring to FIG. 7 , the severity of the guide message may be expressed in different shapes or images of different colors. In addition, a link image for searching a thesis that is the basis of the clinical judgment result, a command image for hiding various images for notification, a link image for searching for alternatives to the clinical judgment result, etc. may be displayed together with the guide message.

8 is an exemplary diagram of a rule stored in the rule storage 110 according to an embodiment of the present invention. As described above, the rule storage 110 may store one or more rules necessary for making a decision in the rule engine 108 . The rules stored in the rule storage 110 may be, for example, a rule to check the residence time of an emergency room patient, a rule to limit the number of days prescribed for each patient's drug prescription, a rule to check whether a bronchoscopy is reserved, and the like. , the rules may vary according to the hospital's own bylaws, policies, and the like.

Referring to FIG. 8 , the rules stored in the rule storage 110 may be classified according to tasks (eg, laws/systems, insurance information, work efficiency, hospital policies, adequacy evaluation, medical safety, etc.), and by task There may be more than one. The rule may be set by an administrator and stored in the rule storage 110 .

9 to 12 are exemplary views of prescription information and a decision message according thereto according to an embodiment of the present invention. As described above, the display unit 106 may display a decision message indicating an action to be performed according to the result of the decision in the rule engine 108 .

Referring to FIG. 9 , when a doctor inputs prescription information for prescribing a contrast medium CT scan to a patient with a low GFR (Glomerular Filtration Rate) result into the input unit 102, the display unit 106 displays the nephrology department prior to the examination. A decision message indicating that consultation should be performed can be displayed. In this case, the display unit 106 may display the access information (or link image) to the web page used to consult the nephrologist together with the decision message.

In addition, referring to FIG. 10 , when a doctor inputs prescription information for prescribing a drug of KCl 40meg/20ml into the input unit 102 , the display unit 106 indicates that the drug should be diluted with an infusion solution and administered. of the decision-making message can be displayed. At this time, the display unit 106 may display the access information (or link image) to the database used to inquire the drug and the miscible solution included in the prescription information, together with the decision message.

In addition, referring to FIG. 11 , when the doctor inputs prescription information for prescribing the F5 gene, Leiden mutation test to the input unit 102 , the display unit 106 indicates that the doctor needs to register the genetic test consent form. A decision message may be displayed. In this case, the display unit 106 may display access information (or link image) to the database used to confirm the prescription contents together with the decision message.

Also, referring to FIG. 12 , when a doctor sequentially inputs a plurality of prescription information to the input unit 102 , the display unit 106 may display a decision message according to the prescription information for each prescription information. .

13 is a block diagram illustrating and describing a computing environment 10 including a computing device suitable for use in example embodiments. In the illustrated embodiment, each component may have different functions and capabilities other than those described below, and may include additional components other than those described below.

The illustrated computing environment 10 includes a computing device 12 . In one embodiment, computing device 12 may be clinical decision support system 100 , or one or more components included in clinical decision support system 100 .

Computing device 12 includes at least one processor 14 , computer readable storage medium 16 , and communication bus 18 . The processor 14 may cause the computing device 12 to operate in accordance with the exemplary embodiments discussed above. For example, the processor 14 may execute one or more programs stored in the computer-readable storage medium 16 . The one or more programs may include one or more computer-executable instructions that, when executed by the processor 14, configure the computing device 12 to perform operations in accordance with the exemplary embodiment. can be

Computer-readable storage medium 16 is configured to store computer-executable instructions or program code, program data, and/or other suitable form of information. The program 20 stored in the computer readable storage medium 16 includes a set of instructions executable by the processor 14 . In one embodiment, computer-readable storage medium 16 includes memory (volatile memory, such as random access memory, non-volatile memory, or a suitable combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash It may be memory devices, other forms of storage medium accessed by computing device 12 and capable of storing desired information, or a suitable combination thereof.

Communication bus 18 interconnects various other components of computing device 12 , including processor 14 and computer readable storage medium 16 .

Computing device 12 may also include one or more input/output interfaces 22 and one or more network communication interfaces 26 that provide interfaces for one or more input/output devices 24 . The input/output interface 22 and the network communication interface 26 are coupled to the communication bus 18 . Input/output device 24 may be coupled to other components of computing device 12 via input/output interface 22 . Exemplary input/output device 24 may include a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touchpad or touchscreen), a voice or sound input device, various types of sensor devices, and/or imaging devices. input devices, and/or output devices such as display devices, printers, speakers and/or network cards. The exemplary input/output device 24 may be included in the computing device 12 as a component constituting the computing device 12 , and may be connected to the computing device 102 as a separate device distinct from the computing device 12 . may be

14 is a flowchart illustrating a clinical decision support method according to an embodiment of the present invention. In the illustrated flowchart, the method is described by dividing the method into a plurality of steps, but at least some of the steps are performed in a reversed order, are performed together in combination with other steps, are omitted, are performed separately, or are not shown. One or more steps may be added and performed.

In step S202, the input unit 102 receives patient information. The administrator may obtain patient information from the patient before the patient is treated by a doctor and input the information into the input unit 102 . In addition, the patient information may be managed by, for example, an electronic medical record (EMR) system (not shown), and the input unit 102 may receive the patient information from the electronic medical record system.

In step S204 , the input unit 102 receives prescription information from a doctor. After treating the patient, the doctor may input prescription information for the patient into the input unit 102 (or select specific prescription information from among various prescription information provided in advance). Here, the prescription information may be drug prescription information for treating a patient's symptoms, disease, etc., injection prescription information, or examination prescription information for examining a patient's symptoms or disease.

In step S206 , the information acquisition unit 104 transmits the patient information and the prescription information to the medicine information database 150 as the prescription information is input through the input unit 102 . The drug information database 150 may receive patient information and patient's prescription information from the information acquisition unit 104 , and may output a clinical judgment result based on the patient information and the prescription information.

In step S208 , the information acquisition unit 104 receives the clinical judgment result from the medical information database 150 . Thereafter, the information acquisition unit 104 may convert the clinical judgment result into a guide message corresponding to the clinical judgment result.

In step S210, the display unit 106 displays a guide message. As described above, the display unit 106 may display the guide message in real time in response to the input of the prescription information. Accordingly, the doctor may check the guidance message immediately after inputting the prescription information, and may immediately determine whether the prescription information input by the doctor is appropriate.

In step S212 , the rule engine 108 performs decision making according to the prescription information based on one or more predefined rules. The rule engine 108 may determine an action to be performed thereafter according to the prescription information input by the doctor based on the rules stored in the rule storage 110 .

In step S214 , the display unit 106 displays a decision message indicating an action to be performed later according to the decision result in the rule engine 108 . Accordingly, a doctor can prescribe a prescription that meets the hospital's own bylaws and policies.

Meanwhile, an embodiment of the present invention may include a program for performing the methods described in this specification on a computer, and a computer-readable recording medium including the program. The computer-readable recording medium may include program instructions, local data files, local data structures, etc. alone or in combination. The medium may be specially designed and configured for the present invention, or may be commonly used in the field of computer software. Examples of the computer-readable recording medium include hard disks, magnetic media such as floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and program instructions specially configured to store and execute program instructions such as ROMs, RAMs, flash memories, and the like. Hardware devices are included. Examples of the program may include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes such as those generated by a compiler.

Although the present invention has been described in detail through representative embodiments above, those of ordinary skill in the art to which the present invention pertains can make various modifications to the above-described embodiments without departing from the scope of the present invention. will understand Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the claims described below as well as the claims and equivalents.

10: Computing Environment
12: computing device
14: processor
16: computer-readable storage medium
18: communication bus
20: Program
22: input/output interface
24: input/output device
26: network communication interface
100: clinical decision support system
102: input unit
104: information acquisition unit
106: display unit
108: rule engine
110 : rule repository
150: medical information database

Claims (14)

an input unit for receiving prescription information for a patient from a doctor;
As the prescription information is input, the pre-entered patient information and the prescription information are transmitted to a medicine information database, and a clinical judgment result for the prescription information is received from the medicine information database, and guidance is provided according to the type of the clinical judgment result. an information acquisition unit that determines the severity of the message and converts the clinical judgment result into a guide message corresponding to the clinical judgment result; and
and a display unit for displaying the guide message in real time in response to the input of the prescription information,
The display unit may display a different color of the guidance message according to the severity, or display an image, letter, number, symbol or figure indicating the severity along with the guidance message.

The method according to claim 1,
When a plurality of prescription information is input in the input unit,
The display unit, a clinical decision support system for displaying a guide message for the prescription information for each prescription information, respectively.
delete The method according to claim 1,
The display unit, a clinical decision support system for displaying, along with the guide message, attribute information including at least one of a source, evidence, reliability, disclosure status, and alternative of the clinical judgment result.
The method according to claim 1,
The clinical decision support system, further comprising a rule engine (rule engine) for performing decision-making (decision-making) according to the prescription information based on one or more predefined rules (rule).
6. The method of claim 5,
The display unit, a clinical decision support system for displaying a decision message indicating an action to be performed according to a result of the decision making.
7. The method of claim 6,
The display unit, a clinical decision support system for displaying, together with the decision message, access information to a database or web page related to the performance of the action.
receiving, in the input unit, prescription information for a patient from a doctor;
transmitting, in the information acquisition unit, the pre-input patient information and the prescription information to a medicine information database as the prescription information is input;
receiving, in the information acquisition unit, a clinical judgment result for the prescription information from the drug information database;
determining the severity of the guidance message according to the type of the clinical judgment result;
converting, by the information acquisition unit, the clinical judgment result into a guide message corresponding to the clinical judgment result; and
In the display unit, in response to the input of the prescription information comprising the step of displaying the guide message in real time,
In the step of displaying the guide message in real time, the color of the guide message is set differently according to the severity and displayed, or an image, letter, number, symbol or figure indicating the severity is displayed together with the guide message. How to support decision making.

9. The method of claim 8,
When a plurality of prescription information is input in the input unit,
The step of displaying the guide message in real time includes displaying a guide message for the prescription information for each prescription information, respectively.
delete 9. The method of claim 8,
The step of displaying the guidance message in real time includes displaying attribute information including at least one of a source, evidence, reliability, public availability and alternatives of the clinical judgment result together with the guidance message, a clinical decision support method.
9. The method of claim 8,
After the step of displaying the guide message in real time,
The method further comprising: in a rule engine, performing decision-making according to the prescription information based on one or more predefined rules.
13. The method of claim 12,
After making the decision,
Further comprising the step of displaying, on the display unit, a decision message indicating an action to be performed according to a result of the decision making, the clinical decision support method.
14. The method of claim 13,
The displaying of the decision message includes displaying access information to a database or web page related to the performance of the action along with the decision message.

Images