KR102131442B1 - Apparatus and Method for Managing Medical treatment based on BRMS(business rule management system) rule - Google Patents

Abstract

According to an embodiment of the present invention, an apparatus for managing a medical treatment based on a rule comprises: a display; a memory for storing consistency check rules and adequacy evaluation rules, which are related to a prescription, and patient-related data, wherein the consistency check rules include an age restriction rule, a drug interactive prohibition rule, a duplicate prescription preventing rule, and a usage restriction rule; and a processor. The processor checks whether a generated prescription violates at least one of the consistency check rules on the basis of age information and a prescription history of a first patient from the patient-related data when at least one of drug prescription, injection prescription, surgery prescription, anesthesia prescription, treatment prescription, rehabilitation prescription, meal prescription, blood transfusion prescription, examination prescription, and hospitalization prescription occurs, in relation to a medical treatment of the first patient, checks whether the generated prescription violates the adequacy evaluation rules for at least one of a prescription period or a prescription amount on the basis of history information on the first patient if the generated prescription does not violate all of the consistency check rules, and can guide the disallowance of the prescription through the display if the generated prescription violates the consistency check rules or the adequacy evaluation rules.

Description

Apparatus and Method for Managing Medical treatment based on BRMS (business rule management system) rule}

Various embodiments disclosed in this document relate to medical management technology.

With the development of IT technology, medical institutions (e.g. hospitals) have adopted a medical management system and are using it for patient management and payment management.

However, the medical work is very complicated and difficult to understand, so it takes a long time to adapt the work of the computerized personnel. In addition, although frequent changes in laws and policies need to be quickly reflected in the system, the complexity of the program can be complicated due to its complexity. For example, a medical institution may calculate medical expenses based on the health insurance summary benefit cost (receipt) announced by the Health Insurance Review and Assessment Service. However, because the notice contains a lot of medical jargon, it can be difficult for the developer to find and interpret the changed part without the help of a professional medical staff. In addition, the calculation of medical expenses according to the notice may be complicated by computational factors, and computerization may be difficult.

Moreover, a conventional medical management system may have multiple hard codings due to frequent program changes and long-term maintenance. Therefore, there is a problem in that the readability of the work is deteriorated and it is difficult to grasp the influence of the program modification.
(Patent Document 1) KR10-2009-0044248 A

Therefore, the conventional treatment management system lacks a medical guide, does not efficiently support the work of a medical institution, and lacks program structure, making it difficult to apply a renewal.

Various embodiments disclosed in the present document may provide a BRMS rule-based treatment management apparatus and method capable of providing a prescription guide based on a flow rule.

Rule-based treatment management apparatus according to an embodiment disclosed in the present document, the display; A memory for storing prescription-related consistency rules, adequacy evaluation rules, and patient-related data; And the conformity check rules include an age limit rule, a drug reciprocation prohibition rule, a duplicate prescription prevention rule, and a usage limit rule, and a processor, wherein the processor, in connection with the treatment of the first patient, prescribes the medicine, injects When at least one of prescription, surgical prescription, anesthesia prescription, treatment prescription, rehabilitation prescription, meal prescription, transfusion prescription, examination prescription, and inpatient prescription occurs, the age information and prescription history of the first patient among the patient-related data are generated. Based on whether the generated prescription violates at least one of the consistency check rules, and if the generated prescription does not violate all of the consistency check rules, the prescription is based on medical history information of the first patient If it is determined whether the adequacy evaluation rules for at least one of a period or a prescription amount are violated, and if the generated prescription is in violation of the conformity confirmation rules or the adequacy evaluation rules, the display cannot be indicated through the display.

In addition, the rule-based treatment management method according to an embodiment disclosed in the present disclosure, in connection with the treatment of the first patient, medicine prescription, injection prescription, surgical prescription, anesthesia prescription, treatment prescription, rehabilitation prescription, meal prescription, blood transfusion When a prescription, including a prescription and an inpatient prescription, occurs, the generated prescription is based on age information of the first patient and prescription history of the first patient among patient-related data, and treatment safety rules, patient safety rules, and in-hospital policies Confirming whether a violation of the consistency check rule including the rule is violated; If it does not violate all of the consistency check rules, determining whether it violates the adequacy evaluation rules for a prescription period or a prescribed amount based on medical history information of the first patient; And when it is in violation of the conformity check rules or the adequacy evaluation rules, an operation of notifying the prescription cannot be performed through the display.

According to various embodiments disclosed in the present document, a prescription guide and a medical guide can be provided. In addition, various effects that can be directly or indirectly identified through this document may be provided.

1 shows a rule-based medical management apparatus according to an embodiment.
2 illustrates a screen related to a consistency check rule according to an embodiment.
Figure 3 shows a patient status notification related screen according to an embodiment.
4 shows an emergency determination rule according to an embodiment.
5 shows a rule for calculating medical expenses according to an embodiment.
6 illustrates a process of verifying a treatment cost calculation rule according to an embodiment.
7 is a flowchart of a rule-based treatment management method according to an embodiment.
In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

1 shows a rule-based medical management apparatus according to an embodiment.

Referring to FIG. 1, the rule-based medical management apparatus 100 according to an embodiment may include an input circuit 110, a display 120, a memory 130, and a processor 140. In an embodiment, the rule-based medical management apparatus 100 may omit some components or further include additional components. In addition, some of the components of the rule-based medical management apparatus 100 are combined to be configured as one entity, and the functions of the corresponding components before combining may be performed in the same manner. In one embodiment, the rule-based medical management apparatus 100 may be composed of a plurality of devices. For example, the rule-based medical management apparatus 100 may include at least one medical staff terminal including a portion of the memory 130 and the processor 140, an input circuit 110 and a display 120; And a central computing device including the rest of the memory 130 and the processor 140.

The input circuit 110 may detect or receive a user input. For example, the input circuit 110 may include at least one of a mouse, keyboard, or touch pad.

The display 120 may output content (eg, symbols, text, and images) under the control of the processor 140. The display may include, for example, a liquid crystal display (LCD), a light emitting diode (LED) display, and an organic light emitting diode (OLED) display.

The memory 130 may store various data used by at least one component (eg, the processor 140) of the rule-based medical management apparatus 100. The data may include, for example, input data or output data for software and related commands. For example, the memory 130 may store at least one instruction for a rule-based medical management service. For another example, the memory 130 may store prescription verification related rules and adequacy evaluation rules and insurance related rules. Each of the conformity check rules and the adequacy evaluation rules may be composed of a flow rule described in medical jargon. As another example, the memory 130 may store at least one of patient-related data, medical bill calculation rules, and medical knowledge rules. The patient-related data may include patient's personal information (eg, age, gender), prescription history and medical history information. The memory 130 may include volatile memory or nonvolatile memory.

The processor 140 may control at least one other component (eg, hardware or software component) of the rule-based medical treatment apparatus 100 as executing at least one instruction, and perform various data processing or calculation can do. The processor 140 includes, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an application processor, an application specific integrated circuit (ASIC), and field programmable gate arrays (FPGAs). )), and may have a plurality of cores.

① Prescription guide

According to an embodiment of the present disclosure, when a prescription occurs in connection with a patient's medical treatment, the processor 140 determines whether a prescription can be prescribed or not prescribed for the generated prescription based on conformity check rules, adequacy evaluation rules, and insurance related rules. Can. The generated prescription may include, for example, at least one prescription of drug prescription, injection prescription, surgical prescription, anesthesia prescription, treatment prescription, rehabilitation prescription, meal prescription, blood transfusion prescription, examination prescription, and hospitalization prescription.

When a prescription related to the patient's medical care occurs, the processor 140 determines whether the generated prescription violates at least one of the consistency check rules based on the age information and the prescription history of the first patient among patient-related data. Can be confirmed. The consistency check rules may include medical safety rules, patient safety rules, and in-hospital policy rules.

The medical safety rules may be related to at least one rule among some limited test prescriptions, approval according to prescriptions of restricted antibacterial agents, prohibition of anticancer drug mixing, history of adverse drug reactions, and prescription consistency rules. For example, the processor 140 may check whether some limited test prescriptions are included in the prescriptions generated based on the medical safety rules. When the limited prescription is included in the generated prescription, the processor 140 may determine that the generated prescription is in violation of the consistency check rule. Alternatively, the processor 140 may check whether a restriction antibacterial agent is included in a prescription generated based on a medical safety rule. The processor 140 may determine that the prescription is not possible when the generated prescription includes the antibacterial agent. In addition, the processor 140 may check whether a mixed anti-cancer drug is mixed in a prescription generated based on a medical safety rule. When the anticancer agent is mixed and included in the generated prescription, the processor 140 may determine that the prescription cannot be prescribed. In addition, the processor 140 may check whether there is a history of drug adverse reaction test based on a patient's prescription history when a drug or injection requiring a drug adverse reaction test is included in a prescription generated based on medical safety rules. have. The processor 140 includes a drug or injection that requires a drug adverse reaction test. If the patient's prescription history does not include a drug adverse reaction test history, the processor 140 may determine that it is impossible to prescribe. Additionally, the processor 140 may check the association between the disease name and the prescription identified in the medical treatment based on the prescription consistency rule, and guide the prescription impossible if there is no association between the disease name and the prescription. When a plurality of prescriptions are generated as a result of one treatment, the processor 140 may check the relevance or consistency between the plurality of prescriptions based on the prescription consistency rule. If there is no consistency between a plurality of prescriptions, the processor 140 may guide non-prescription. Processor 140, for example, if there is no connection between drug prescriptions, injection prescriptions, and surgical prescriptions generated as a result of the same treatment, it may guide the prescription impossible.

The patient safety rule may include an age restriction rule, a drug mutual prohibition rule, a duplicate prescription prevention rule, and a usage restriction rule. For example, when the processor 140 confirms that the patient is a pediatric patient based on the patient's age information, the processor 140 may check whether an adult test prescription is included in a prescription generated based on a patient safety rule (eg, an age restriction rule). have. If the patient is a pediatric patient and an adult test prescription is included in the generated prescription, the processor 140 may determine that the prescription cannot be prescribed. In addition, the processor 140 may check whether the drug/injection prescription 1 day limitation is violated in the prescription generated based on the patient safety rule. Alternatively, the processor 140 may check whether a prescription generated based on a patient safety rule (eg, a drug reciprocal prohibition rule or a duplicate prescription prevention rule) includes a drug that is forbidden to be taken at the same time or a repetitive prescription. . If the drug that is mutually forbidden or the overlapping prescription is included in the generated prescription at the same time, the processor 140 may determine that it cannot be prescribed. Additionally, the processor 140 may check whether a limited usage is included in a prescription generated based on a patient safety rule (eg, a usage restriction rule). If a limited usage is included in the generated prescription, the processor 140 may determine that it cannot be prescribed.

The in-hospital policy rule may include a discharge policy rule and a rule related to submitted documents. For example, the processor 140 checks whether the prescription generated based on the in-hospital policy rule is in violation of any one of the in-hospital policy rules, and if it violates any of the above-mentioned policy rules, it violates the consistency check rule It can be decided. The processor 140 may check, for example, if there is an unfinished item to be processed upon discharge (eg, an inspection) based on the history of the prescription when the scheduled discharge date is included in the generated prescription. If the scheduled prescription for discharge is included in the generated prescription, and there is an incomplete prescription history, the processor 140 may determine that the prescription cannot be prescribed. When the generated prescription includes a prescription requiring additional documents of the patient, the processor 140 may confirm completion of receipt of the document based on the history of the prescription. When the processor 140 confirms that the document has not been received, the processor 140 may determine that the prescription is impossible.

The processor 140 may check whether the prescribed prescription is in violation of the adequacy evaluation rules for the prescription period and the prescribed amount based on the medical history information of the first patient, if the prescribed prescription does not violate all of the consistency check rules. According to various embodiments, the processor 140 may check whether the generated prescription violates the conformity check rule after confirming whether it violates the adequacy test rule. For example, the adequacy evaluation rule may include a rule for limiting the number of prescription days of a blood sugar enhancing agent to 90 days or less for a subject of diabetes adequacy evaluation. When the processor 140 confirms that the first patient is a diabetic patient based on medical history information, the processor 140 may check the number of prescription days according to the generated prescription. The processor 140 may determine that the prescription is impossible when the confirmed number of prescription days exceeds 90 days.

When the processor 140 violates at least one of the conformity check rules and the appropriateness evaluation rules, the processor 140 may determine that the prescription cannot be prescribed for the generated prescription. On the other hand, if the processor 140 satisfies both conformity check rules and adequacy evaluation rules, the processor 140 may determine a prescription for the generated prescription.

The processor 140 may guide non-prescribing or non-prescribing prescriptions through the display 120. For example, the processor 140 may generate a prescription when it is possible to prescribe. For another example, when the prescription is not possible, the processor 140 may guide the reason for not being able to prescribe.

Additionally, the processor 140 may check whether a patient according to an outbreak prescription is subject to a calculation exception and related medical support based on insurance coverage rules and patient medical history information. If the patient according to the outbreak prescription is subject to a calculation exception and related medical assistance, the processor 140 may guide through the display 120 that the calculation exception and medical expenses are supported.

② Treatment guide

The processor 140 may schedule a scheduled processing time according to the generated prescription and provide a prescription to be processed at the scheduled time through the display 120. For example, if the patient according to the outbreak prescription is an inpatient, the processor 140 may display the scheduled medical treatment of the patient through the display 120 at the scheduled time.

The processor 140 may perform a patient status notification function based on a patient monitoring rule for an inpatient according to the generated prescription. For example, the processor 140 may notify the list of prescriptions generated in the hospitalized patient and the completion/incomplete processing through the display 120. The processor 140 may check the test result according to the generated prescription and grade the patient's condition based on the test result. The processor 140 may classify the patient status grades, for example, by color, and display them through the display 120.

The processor 140 may provide a patient's prescription guide based on the medical knowledge rule. The medical knowledge rule may be a flow rule created based on the know-how of a professional medical staff. The medical knowledge rule, for example, monitors vital signs for 3 hours after the arrival of the emergency room, and according to the first rule inducing the input of the measured V/S value and i) Severe sepsis It may include an emergency determination rule including a second rule that distinguishes the subject, ii) the SIRS subject, and iii) the monitoring subject. For example, the processor 140 monitors vital signs for 3 hours after arriving at the emergency room according to the first rule, and displays a UI screen through which the measured V/S value is input through the display 120 can do. For another example, the processor 140 checks the vital sign input value of the emergency room patient through the input circuit 110 and applies the input value to the medical knowledge rule to treat the emergency room patient i) Severe sepsis subject, ii) SIRS subject And iii) subjects to be monitored. The processor 140 may display the classification result on the display 120 and record it in an EMR (electronic medical record).

③ Automatic calculation of medical expenses

The processor 140 may calculate a treatment fee related to an outbreak prescription based on treatment fee calculation rules. The medical bill calculation rules may be flow rules written in a business language (daily term) commonly used in medical institutions. For example, the processor 140 may check the treatment type for the patient before or after the generated prescription, and select calculation rules respectively corresponding to the checked treatment type among the medical fee calculation rules. The processor 140 may calculate individual medical expenses using calculation rules corresponding to the identified medical treatment type. The processor 140 may calculate the total medical expenses by summing the individual medical expenses.

At least one of the medical bill calculation rules may be updated. The processor 140 may select a first partial patient for which the medical fee according to the first calculation formula is calculated from the patient-related data when at least one of the medical fee calculation rules is updated. The processor 140 may generate a predetermined medical fee of the first partial patient among patient-related data as a first Excel sheet. The processor 140 calculates the medical expenses of each of the first partial patients using the at least one calculation rule based on the first partial patient-related data among the patient-related data, and then converts the calculated data into a second Excel sheet. Can be created. The processor 140 may compare the first Excel sheet and the second Excel sheet, and display different parts of the result as a color.

The processor 140 may provide an update interface of a conformity confirmation rule, adequacy determination rule, insurance application rule, medical knowledge rule, and medical fee calculation rule. When the flow rule is changed through the interface, the processor 140 may perform a prescription guide, a medical guide, or calculation of medical expenses according to the changed flow.

According to the above-described embodiment, the rule-based medical management apparatus 100 provides a prescription guide and a medical guide according to the know-how of a professional medical staff, so that the medical staff or the staff in charge of the patient does not have a missing part in the prescription, medical treatment, or storage of the patient can do.

In addition, according to the above-described embodiment, the rule-based medical management apparatus 100 uses a rule implemented based on the know-how (or medical knowledge) of a professional medical staff to provide a medical guide to other medical staff, thereby increasing the level of medical service. Can be leveled upward.

In addition, according to the above-described embodiment, the rule-based treatment management apparatus 100 facilitates the work logic by medical staff and developers as it provides treatment management based on rules written using terminology (business language) used in work. It can help you identify, use, or update.

In addition, according to the above-described embodiment, the rule-based treatment management apparatus 100 is simulated and updated according to the notification as the treatment fee is calculated based on the rule written to calculate the treatment fee according to the type of treatment in preparation for frequent notification changes Can be advantageous to

2 illustrates a screen related to a consistency check rule according to an embodiment.

Referring to FIG. 2, the rule-based treatment management apparatus 100 may include a document submitted by a patient based on the patient's personal information (eg, submission document information), for example, if the generated prescription includes a genetic test prescription. Can be confirmed. The rule-based medical management apparatus 100 may guide the inability to proceed with the test (corresponding to the above-mentioned prescription impossibility) if some of the documents required for the genetic test, for example, the genetic test agreement is omitted.

According to the above-described embodiment, the rule-based medical management apparatus 100 may assist the medical personnel in charge of medical institutions to properly perform the treatment according to the notification of the cardiac patient at the time of prescription, medical treatment, or examination of the patient.

Figure 3 shows a patient status notification related screen according to an embodiment.

Referring to FIG. 3, according to an embodiment, the rule-based medical management apparatus 100 may perform a patient status notification function for an inpatient according to the generated prescription. For example, the rule-based treatment management apparatus 100 may guide the prescription list 310 and the processing completion/incomplete 320 generated in the inpatient. The rule-based medical management apparatus 100 may check the test result according to the generated prescription, and grade the patient's condition based on the test result. The rule-based treatment management apparatus 100 may display the patient status class 330, for example, in color. The patient status rating may include a stable state, a caution state, a warning state, and an emergency state.

According to the above-described embodiment, the rule-based medical management apparatus 100 may assist the medical staff to easily grasp the patient's condition and to perform appropriate medical treatment for the patient as they quickly take appropriate measures.

4 shows an emergency determination rule according to an embodiment.

Referring to FIG. 4, the rule-based medical management apparatus 100 checks an input value according to an examination for an emergency room patient based on an emergency room guide rule, and when the blood pressure value of the emergency room patient exceeds 90 mmHg, Severe sepsis (severe pulmonary sepsis) You can decide who you are. For another example, if the blood pressure value of the emergency room patient is 90 mmHg or less, the rule-based treatment management apparatus 100 checks the number of systemic inflammatory response syndrome (SIRS) criteria, and if the number of SIRS criteria is 0, as a monitoring target Can decide. If the number of SIRS criteria is two or more, the rule-based medical management apparatus 100 may determine the target of SIRS. If the number of SIRS Criteria is 1, the rule-based medical management apparatus 100 may confirm a complete blood count (CBC) result, and if there is no CBC result, request a CBC test. The rule-based treatment management apparatus 100 may determine whether the WBC (white blood cell count) is less than 4000 or more than 12000 when a CBC result is present. When the WBC is less than 4000 or more than 12000, the rule-based medical management apparatus 100 may determine the target of SIRS. On the other hand, if the WBC is 4000 or more and 12000 or less, it can be determined as a monitoring target.

The rule-based medical management apparatus 100 may provide an interface for updating the emergency determination rule. When the flow of the emergency determination rule is changed, the rule-based medical management apparatus 100 may provide an emergency determination guide according to the changed flow.

According to the above-described embodiment, the rule-based medical management apparatus 100 may provide a medical guide to other medical staff using rules implemented based on medical knowledge of a professional medical staff, thereby increasing the level of medical service.

5 shows a rule for calculating medical expenses according to an embodiment.

Referring to FIG. 5, the medical bill calculation rules may be flow rules written in a business language (every term) commonly used in medical institutions. The rules for calculating medical expenses may be managed differently depending on the renewal institution. Accordingly, the rule-based treatment management apparatus 100 can easily calculate the treatment fee based on the time when the related treatment occurs in the generated prescription, and can easily use the updated treatment fee calculation rule.

The rule-based treatment management apparatus 100 may provide an interface for updating the treatment fee calculation rule. When the flow of the medical bill calculation rule is changed through the interface, the medical bill may be calculated based on the medical bill calculation rule according to the changed flow.

Accordingly, according to the above-described embodiment, the rule-based treatment management apparatus 100 may calculate the treatment fee based on the treatment fee calculation rule easily understandable by the developer as well as the medical staff.

6 illustrates a process of verifying a treatment cost calculation rule according to an embodiment.

Referring to FIG. 6, the rule-based medical management apparatus 100 may confirm that at least one of the medical billing calculation rules is updated. When the at least one calculation rule is updated, the rule-based medical management apparatus 100 may select the first partial patient data 610 in which medical expenses according to the first calculation formula are calculated from among the patient-related data. The rule-based treatment management apparatus 100 may generate a medical fee calculated in the first partial patient data 610 as the first Excel sheet 620. The rule-based treatment management apparatus 100 calculates the medical fee for each of the first partial patients using the at least one calculation rule based on the first partial patient data 610, and then calculates the calculated data in a second Excel sheet (630). The rule-based treatment management apparatus 100 may compare the first Excel sheet 620 and the second Excel sheet 630, and display different parts of the comparison result by color.

7 is a flowchart of a rule-based treatment management method according to an embodiment.

Referring to FIG. 7, in operation 710, when a prescription is generated in relation to the treatment of the first patient, the rule-based treatment management apparatus 100 includes age information of the first patient and prescription of the first patient among patient-related data Based on the history, it can be confirmed whether the generated prescription violates the consistency check rule. The generated prescription may include at least one of drug prescription, injection prescription, surgical prescription, anesthesia prescription, treatment prescription, rehabilitation prescription, meal prescription, transfusion prescription, and hospitalization prescription. The consistency check rule may include a treatment safety rule, a patient safety rule, and an in-hospital policy rule.

In operation 720, if the rule-based medical management apparatus 100 does not violate all of the consistency check rules, it may be determined whether or not it is in violation of the adequacy evaluation rules for the prescription period and the prescribed amount based on the medical history information of the first patient .

In operation 730, if the rule-based medical management apparatus 100 violates at least one of the consistency check rules and the adequacy evaluation rules, the rule-based medical care management apparatus 100 may notify the prescription impossible.

It should be understood that various embodiments of the document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, and include various modifications, equivalents, or substitutes of the embodiment. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C" and "A, Each of the phrases such as “at least one of B or C” may include any of the items listed together in the corresponding phrase of the phrases, or any possible combination thereof. Terms such as “first”, “second”, or “first” or “second” can be used to simply distinguish a component from other components, and to separate components from other aspects (eg, importance or Order). Any (eg first) component is referred to as a “coupled” or “connected” to another (eg second) component, with or without the term “functionally” or “communically” If mentioned, it means that any of the above components can be connected directly to the other components (eg, by wire), wirelessly, or through a third component.

As used herein, the terms "module", "unit" and "means" may include units implemented in hardware, software or firmware, and may include terms such as, for example, logic, logic blocks, components, or circuits. It can be used interchangeably. The module may be an integrally configured component or a minimum unit of the component or a part thereof performing one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document may be stored in a storage medium (eg, internal memory or external memory) (memory 130) readable by a machine (eg, rule-based medical management device 100). It may be implemented as software (eg, a program) including one or more stored instructions. For example, a processor (eg, processor 140) of a device (eg, rule-based medical management apparatus 100) may call and execute at least one command among one or more commands stored from a storage medium. This enables the device to be operated to perform at least one function according to the at least one instruction called, wherein the one or more instructions can include code generated by a compiler or code that can be executed by an interpreter. The storage medium readable by the device may be provided in the form of a non-transitory storage medium, where'non-transitory' is a device in which the storage medium is tangible, and a signal ( For example, it does not include electromagnetic waves), and the term does not distinguish between data that is stored semi-permanently and temporarily.

According to one embodiment, a method according to various embodiments disclosed in this document may be provided as being included in a computer program product. Computer program products can be traded between sellers and buyers as products. The computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play ^StoreTM ) or two user devices ( For example, it can be distributed directly (e.g., downloaded or uploaded) between smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored at least temporarily in a storage medium readable by a device such as a memory of a manufacturer's server, an application store's server, or a relay server, or may be temporarily generated.

According to various embodiments, each component (eg, module or program) of the above-described components may include a singular or a plurality of entities. According to various embodiments, one or more components or operations of the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, modules or programs) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components the same or similar to that performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component may be executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order, or omitted Or, one or more other actions can be added.

Claims (10)

In the rule-based care management device,
display;
A memory for storing consistency check rules and adequacy evaluation rules related to prescriptions consisting of flow rules described in medical jargon, and storing patient related data and insurance related rules; And
It includes a processor, the processor,
In connection with the treatment of the first patient, if at least one of the drug prescription, injection prescription, surgical prescription, anesthesia prescription, treatment prescription, rehabilitation prescription, meal prescription, transfusion prescription, examination prescription and hospitalization prescription occurs, the patient is related Based on the age information and prescription history of the first patient among the data, it is checked whether the generated prescription is against at least one of the consistency check rules,
If the generated prescription does not violate all of the conformity check rules, it is checked whether it is in violation of adequacy evaluation rules for at least one of a prescription period or a prescribed amount based on medical history information of the first patient,
If the generated prescription is in violation of the conformity check rules or the adequacy evaluation rules, the prescription is not guided through the display,
When it is determined that the first patient is eligible for the calculation exception and related medical expenses based on the insurance application-related rules and the medical history information, the display is guided to the calculation exception and the related medical expenses support through the display,
The memory stores treatment cost calculation rules according to a plurality of treatment types,
The processor checks the treatment type for the first patient related to the generated prescription, checks calculation rules corresponding to the checked treatment type among the treatment cost calculation rules, and corresponds to the checked treatment type Calculate the individual medical expenses using the calculation rules, calculate the total medical expenses by summing the individual medical expenses,
When at least one of the calculation rules of the medical bill calculation rules is updated, the processor selects a first partial patient for which the medical bill according to the first calculation formula is calculated from the patient-related data, and the first part of the patient-related data After outputting the patient's calculated medical expenses as a first Excel sheet, and calculating the medical expenses of each of the first partial patients using the at least one calculation rule based on the first partial patient-related data among the patient-related data. Outputting the calculated data to a second Excel sheet, and comparing the first Excel sheet and the second Excel sheet to display different parts in color.
In-rule based care management device. The method according to claim 1,
The consistency check rules,
In-hospital policy rules including discharge-related rules, the processor,
In the case where the planned discharge date is included in the above-mentioned prescription, it is checked whether there are any incomplete items that need to be completed upon discharge.
A rule-based medical management device that guides the prescription impossible if there is the incomplete one. The method according to claim 1,
The adequacy evaluation rule,
For the subject of diabetes adequacy evaluation, including a rule for limiting the number of days of prescription of the blood sugar enhancer to 90 days or less, the processor,
When it is confirmed that the first patient is a diabetic patient based on the medical history information, the number of prescription days according to the generated prescription is checked,
If the confirmed number of prescription days exceeds 90 days, the rule-based treatment management device for guiding the impossible prescription. delete delete The method according to claim 1, wherein the processor,
Schedule the dosing regimen and dosing time according to the generated prescription,
A rule-based medical management device that provides the scheduled dosing method and the scheduled dosing time through the display. The method according to claim 6, wherein the processor,
If the first patient is an inpatient, a rule-based medical management device that displays the scheduled dosing regimen of the first patient through the display at the scheduled dosing time. delete delete delete

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