A method, device, system and equipment for processing information of a nutritional preparation

By combining clinical diagnostic data and decision matrices in the review of nutritional preparation prescriptions, the problems of low review efficiency and low accuracy in existing technologies have been solved, achieving more efficient and accurate review of nutritional preparation prescriptions and reducing medication risks.

CN120853792BActive Publication Date: 2026-07-07SUN YAT SEN UNIVERSITY CANCER CENTER (CANCER HOSPITAL AFFILIATED TO SUN YAT SEN UNIVERSITY CANCER RESEARCH INSTITUTE OF SUN YAT SEN UNIVERSITY)
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Patent Information

Application Number
CN202510715482.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-05-30
Publication Date
2026-07-07
Estimated Expiration
2045-05-30

AI Technical Summary

Technical Problem

The current prescription review process for nutritional supplements is inefficient and inaccurate, especially for parenteral nutrition supplements, which face challenges such as high infection risk, complex metabolic effects, and strict individualized requirements.

Method used

By retrieving clinical diagnostic data corresponding to medication prescriptions, extracting disease keywords, and matching them with preset parenteral nutrition indication information, if a match is successful, the prescription is reviewed according to the first medication standard; if a match fails, nutritional risk scores and gastrointestinal disorder information are obtained, and a second medication standard is determined and reviewed in conjunction with a decision matrix.

Benefits of technology

This improved the efficiency and accuracy of prescription review for nutritional supplements, reduced medication risks, and ensured the rationality and safety of the review results.

✦ Generated by Eureka AI based on patent content.

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Abstract

Embodiments of the present disclosure relate to the technical field of medical data processing, and specifically to a nutritional preparation medication information processing method, device, equipment and medium. The main steps of the foregoing method include: in response to an audit request for a medication prescription, retrieving and obtaining clinical diagnosis data corresponding to the medication prescription, extracting a disease keyword from the clinical diagnosis data, matching and analyzing the disease keyword with preset parenteral nutrition indication information to obtain a matching result, when the matching result indicates a matching success, auditing the medication prescription according to a first medication standard, and when the matching result indicates a matching failure, determining a second medication standard according to a nutritional risk score, gastrointestinal disorder information and a preset decision matrix, and auditing the medication prescription according to the second medication standard. The foregoing method can improve the efficiency of prescription auditing, improve the accuracy and rationality of the nutritional preparation medication prescription audit result, and reduce the medication risk of the nutritional preparation medication prescription.
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Description

Technical Field

[0001] This disclosure relates to the field of medical data processing technology, and in particular to a method, apparatus, system and equipment for processing information on the use of nutritional preparations. Background Technology

[0002] In current clinical practice, the application of nutritional formulas has become an important part of modern medicine. Nutritional formulas include enteral nutrition formulas and parenteral nutrition formulas. Enteral nutrition formulas provide nutrition through oral or tube feeding, while parenteral nutrition formulas provide comprehensive nutritional support through intravenous infusion. Parenteral nutrition formulas, as high-risk drugs in clinical use, are characterized by high infection risk, complex metabolic effects, and strict individualized requirements. Reviewing nutritional formula prescriptions is a crucial measure to ensure the safety and effectiveness of nutritional formulas, and is of great significance for reducing medical risks, improving treatment outcomes, and conserving medical resources.

[0003] Currently, the existing review methods mainly rely on manual review of the content of nutritional preparation prescriptions based on experience, which has problems such as low review efficiency and low accuracy. In addition, a small number of hospitals use computer review systems for automated review, but these are limited to simple rule verification of drug dosage, and the review process still has high risks. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, apparatus, system, and computer equipment for processing nutritional preparation medication information that has high review efficiency and accuracy and can reduce the risks associated with the use of nutritional preparations, in order to address at least one of the aforementioned technical problems.

[0005] In a first aspect, embodiments of this disclosure provide a method for processing nutritional preparation medication information, applied to an auditing device. The method includes the following steps:

[0006] In response to a request to review a medication prescription, retrieve and obtain the corresponding clinical diagnostic data for the prescription, and extract disease keywords from the clinical diagnostic data;

[0007] The disease keywords are matched and analyzed with the preset parenteral nutrition indication information to obtain the matching results;

[0008] When the matching result indicates a successful match, the medication prescription is reviewed according to the first medication standard, and the first review result is obtained and output. The first medication standard indicates that the parenteral nutrition preparation is approved for administration.

[0009] When the matching result indicates a failure, obtain the nutritional risk score and gastrointestinal disorder information of the patient corresponding to the medication prescription;

[0010] The second medication standard is determined based on nutritional risk scores, gastrointestinal disorder information, and a pre-set decision matrix;

[0011] The medication prescription is reviewed according to the second medication standard, and the second review result is obtained and output.

[0012] Among them, the medication prescription is the prescription for nutritional preparations, and the decision matrix is ​​used to represent the correspondence between nutritional risk scores, gastrointestinal disorder information and the second medication standard. The second medication standard represents the release status of enteral nutrition preparations and parenteral nutrition preparations.

[0013] In some embodiments, retrieving and obtaining clinical diagnostic data corresponding to a medication prescription and extracting disease keywords from the clinical diagnostic data includes: retrieving and obtaining corresponding clinical diagnostic data from a medical record database based on the patient's identity information in the medication prescription, identifying the clinical diagnostic data, and extracting disease keywords.

[0014] In some embodiments, the method for processing nutritional preparation medication information further includes the following steps: when the matching result indicates a matching failure, based on the patient's age data, determining a target nutritional risk assessment model from a preset nutritional risk assessment model, obtaining the patient's assessment data and inputting it into the target nutritional risk assessment model to obtain a nutritional risk score.

[0015] In some embodiments, the nutritional risk score is positively correlated with the degree of malnutrition risk. The second medication standard is determined based on the nutritional risk score, gastrointestinal disorder information, and a preset decision matrix, including: comparing the nutritional risk score with a preset risk threshold to obtain a comparison result, and determining the second medication standard based on the comparison result, gastrointestinal disorder information, and the decision matrix.

[0016] Among them, when the comparison results indicate that the nutritional risk score is greater than or equal to the risk threshold and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the second medication standard indicates the administration of enteral nutrition preparations and the administration of parenteral nutrition preparations.

[0017] When the comparison results indicate that the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates that enteral nutrition preparations can be administered and parenteral nutrition preparations should be administered under warning.

[0018] When the comparison results indicate that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the second medication standard indicates warning for enteral nutrition preparations and warning for parenteral nutrition preparations.

[0019] When the comparison results indicate that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates warning against enteral nutrition preparations and blocking the use of parenteral nutrition preparations.

[0020] In some embodiments, the method for processing nutritional preparation medication information further includes the following step: when the matching result indicates a matching failure, determining gastrointestinal disorder information based on clinical diagnostic data.

[0021] Specifically, when clinical diagnostic data indicates that a patient has at least one of the following symptoms: diarrhea, abdominal pain, vomiting, or high stoma output, the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction. Conversely, when clinical diagnostic data indicates that a patient does not have diarrhea, abdominal pain, vomiting, or high stoma output, the gastrointestinal disorder information indicates the absence of gastrointestinal dysfunction.

[0022] In some embodiments, the method for processing nutritional preparation medication information further includes the following step: when the first review result or the second review result indicates that the prescription has not been approved, outputting the corresponding reason for the failure to provide a reference for prescription modification.

[0023] In some embodiments, the method for processing information on the use of nutritional preparations further includes the following steps: storing and analyzing the review process information of completed prescriptions, generating a nutritional preparation medication analysis report, which is used to present the distribution of prescriptions that failed the review by department and / or physician.

[0024] In a second aspect, embodiments of this disclosure provide a nutritional preparation medication information processing device, the device including a disease determination module, an indication matching module, a first review module, an evaluation data acquisition module, a second medication standard determination module, and a second review module.

[0025] The symptom identification module is used to respond to review requests for medication prescriptions, retrieve and obtain the clinical diagnostic data corresponding to the medication prescriptions, and extract symptom keywords from the clinical diagnostic data.

[0026] The indication matching module is used to match and analyze disease keywords with preset parenteral nutrition indication information to obtain matching results.

[0027] The first review module is used to review the medication prescription according to the first medication standard when the matching result indicates a successful match, and to obtain and output the first review result.

[0028] The assessment data acquisition module is used to obtain the nutritional risk score and gastrointestinal disorder information of the patient corresponding to the medication prescription when the matching result indicates a failure.

[0029] The second medication criteria determination module is used to determine the second medication criteria based on nutritional risk scores, gastrointestinal disorder information, and a preset decision matrix.

[0030] The second review module is used to review medication prescriptions according to the second medication standards, and to obtain and output the second review results.

[0031] Among them, the medication prescription is the prescription for nutritional preparations. The first medication standard indicates the release of parenteral nutrition preparations. The decision matrix is ​​used to represent the correspondence between nutritional risk scores, gastrointestinal disorder information and the second medication standard. The second medication standard indicates the release status of enteral nutrition preparations and parenteral nutrition preparations.

[0032] In a third aspect, embodiments of this disclosure provide a prescription review system, which includes a review terminal device, a physician terminal device, and a medical record database.

[0033] The physician-side device is used to issue prescriptions for nutritional supplements and to initiate review requests for such prescriptions.

[0034] The review terminal device is used to perform the steps of the nutritional preparation medication information processing method provided in any embodiment of the first aspect of this disclosure.

[0035] A medical record database is used to store patients' clinical diagnostic data.

[0036] In a fourth aspect, embodiments of this disclosure provide a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the nutritional preparation medication information processing method provided in any embodiment of the first aspect of this disclosure.

[0037] In a fifth aspect, embodiments of the present disclosure provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the nutritional preparation medication information processing method provided in any embodiment of the first aspect of the present disclosure.

[0038] The aforementioned method, apparatus, computer equipment, and storage medium for processing parenteral nutrition prescription information, in response to a prescription review request, retrieve and acquire clinical diagnostic data corresponding to the prescription, and determine whether an indication for parenteral nutrition prescription use exists based on the clinical diagnostic data. If an indication exists, the prescription is reviewed using a first medication standard indicating approval for parenteral nutrition prescription use, and the review result is obtained and output. If no indication exists, the patient's nutritional risk score and gastrointestinal disturbance information are further acquired, and a second medication standard is determined based on the nutritional risk score and gastrointestinal disturbance information. The prescription is then reviewed using the second medication standard. By prioritizing the determination of whether an indication for parenteral nutrition prescription use exists, prescription review can be directly conducted when an indication exists, improving prescription review efficiency and saving computational resources required for review. When no indication exists, the second medication standard for review is comprehensively determined based on the acquired nutritional risk score and gastrointestinal disturbance information. This comprehensive determination of the second medication standard through multi-dimensional assessment factors improves the accuracy and rationality of the nutritional prescription review results and reduces medication risks. Attached Figure Description

[0039] Figure 1 This is an application environment diagram of the nutritional preparation medication information processing method in some embodiments;

[0040] Figure 2 This is a flowchart illustrating the method for processing nutritional preparation medication information in some embodiments;

[0041] Figure 3 This is a schematic diagram of the review process when a match fails in some embodiments;

[0042] Figure 4 This is a structural block diagram of the nutritional preparation medication information processing device in some embodiments;

[0043] Figure 5 Here are some structural block diagrams of the prescription review system in some embodiments;

[0044] Figure 6 This is a diagram showing the internal structure of a computer device in some embodiments. Detailed Implementation

[0045] To make the technical solutions and advantages of this disclosure clearer, the embodiments and related technical content of this disclosure will be further described in detail below with reference to the accompanying drawings and text description. It should be understood that the embodiments described below are only used to explain the technical solutions of the embodiments of this disclosure and are not intended to limit more possible implementations of this disclosure.

[0046] It should be noted that relational terms such as "first" and "second" appearing in this document are used only to distinguish things, states, or actions, and do not necessarily indicate or imply relative importance or order. The terms "including," "comprising," or any other variations thereof are used to indicate non-exclusive inclusion, and the included objects may not be limited to those listed in this document. The terms "multiple" or other variations are used to indicate that the number of objects is two or more.

[0047] It should be noted that in the embodiments of this application, data related to user information or user data (e.g., assessment data used by patients for nutritional assessment) must be obtained and processed only after obtaining the user's authorization and consent. When the embodiments of this application are applied to specific products or technologies, user permission or consent must be obtained, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0048] In a first aspect, embodiments of this disclosure provide a method for processing medication information related to nutritional preparations. This method can be applied to, for example... Figure 1 In the application environment shown, the review terminal device 101, the physician terminal device 102, and the medical record database 103 can communicate via a network.

[0049] The review terminal device 101 can be a local electronic device with data processing and analysis functions, or it can be a server cluster deployed in the hospital information system, connected to the physician terminal device 102 through the hospital intranet to provide prescription review services. In some cases, the review terminal device can also be deployed in the cloud, and the physician terminal device 102 can be accessed through a browser or client.

[0050] The physician terminal device 102 can be a computer device with data input, data processing and display functions, for use by physicians. Physicians can use the physician terminal device 102 to complete operations such as prescription issuance and modification. The physician terminal device 102 includes, but is not limited to, computer devices, smartphones, tablets, etc.

[0051] The medical record database 103 can be a local database or a cloud database, used to store patients' medical information, including medical record data, test reports, historical prescriptions, etc.

[0052] Applying nutritional preparation medication information processing methods to Figure 1 Taking the review terminal device 101 as an example, in some embodiments, such as Figure 2 As shown, the nutritional preparation medication information processing method includes steps S201 to S206 that can be executed by the review terminal device 101.

[0053] Step S201: In response to the review request for the medication prescription, retrieve and obtain the clinical diagnostic data corresponding to the medication prescription, and extract the disease keywords from the clinical diagnostic data.

[0054] The medication prescription is for nutritional supplements, and the clinical diagnostic data includes the patient's diagnosis data, medical history, laboratory test data, medication records, and surgical records. The medication prescription can be a doctor's order for a patient's condition that includes information about nutritional supplements. For example, a prescription can be for enteral nutrition, parenteral nutrition, or a combination of both.

[0055] Specifically, the physician issues a medication prescription through the physician terminal device 102 and initiates a review request. In some examples, the display interface of the physician terminal device 102 may include a prescription editing window and a prescription review request control. After the physician performs the corresponding operation, the physician terminal device 102 initiates a review request for the nutritional preparation medication prescription. The review request may be an automatic request initiated by the physician terminal device 102 when it confirms that the prescription issued by the physician is a nutritional preparation medication prescription, or it may be a request initiated by the physician through the operation of relevant controls on the physician terminal device 102.

[0056] In response to a review request for a medication prescription, the review device 101 retrieves and obtains the clinical diagnostic data corresponding to the medication prescription. The clinical diagnostic data is stored in a medical record database. In response to the review request, the review device 101 retrieves the clinical diagnostic data corresponding to the medication prescription from the medical record database. Specifically, the retrieval can be based on the patient's identity information in the medication prescription, such as the patient's ID number or name, to retrieve the corresponding clinical diagnostic data and extract the disease keywords contained therein.

[0057] Step S202: Match the disease keywords with the preset parenteral nutrition indication information to obtain the matching results.

[0058] In some specific embodiments, the preset indications for parenteral nutrition may include multiple indication keywords, such as: gastrointestinal fistula, intestinal obstruction, gastrointestinal ischemia, gastrointestinal perforation, gastrointestinal bleeding, diffuse peritonitis, and acute pancreatitis.

[0059] The review device 101 performs matching analysis on the extracted disease keywords and the preset parenteral nutrition indication information to obtain the matching results. Specifically, if one or more indication keywords are successfully matched with the disease keywords and the preset parenteral nutrition indication information, the match is successful; if no indication keyword is matched with the disease keywords, the match fails.

[0060] Step S203: When the matching result indicates a successful match, review the medication prescription according to the first medication standard, obtain and output the first review result.

[0061] Specifically, a successful match indicates that the clinical diagnostic data corresponding to the prescription contains an indication for the use of parenteral nutrition preparations, and the first medication standard indicates that the use of parenteral nutrition preparations is permitted. The prescription is reviewed according to the first medication standard. If the prescription is for parenteral nutrition preparations, the review result is "approved"; if the prescription is for enteral nutrition preparations, the review result is "not approved". The first review result can be displayed as a pop-up window on the physician's terminal device 102, or it can be displayed in the prescription review result display window of the physician's terminal device 102.

[0062] In some specific embodiments, the review device 101 determines, based on the drug name or drug number in the prescription, whether the nutritional preparation included in the prescription is an enteral nutrition preparation or a parenteral nutrition preparation. When the prescription includes the drug name or drug number of an oral nutritional preparation, the prescription is an enteral nutrition preparation prescription; when the prescription includes the drug name or drug number of specific drugs such as amino acids, fat emulsions, or alanine glutamine, the prescription is a parenteral nutrition preparation prescription.

[0063] In some specific embodiments, during the review process, the medication prescription is marked with a unique review mark to indicate the review status. The nutritional preparation medication information processing method further includes: when the first review result indicates that the review is passed, updating the review mark of the medication prescription to a release mark indicating that the review is passed; and when the first review result indicates that the review is not passed, updating the review mark of the medication prescription to an interception mark indicating that the review is not passed.

[0064] Step S204: When the matching result indicates a failure, obtain the nutritional risk score and gastrointestinal disorder information of the patient corresponding to the medication prescription.

[0065] A matching result indicates a failure to match, meaning that the clinical diagnostic data corresponding to the medication prescription does not contain an indication for the use of parenteral nutrition preparations. The nutritional risk score is a score representing the degree of nutritional risk obtained by inputting the patient's assessment data into specific nutritional risk assessment criteria. Gastrointestinal disorder information indicates the patient's existing gastrointestinal disorders and can be represented using a symptom code established internally by the hospital.

[0066] In some specific embodiments, when the review device 101 confirms a matching failure, it obtains the nutritional risk score and gastrointestinal disorder information based on the patient number information in the medication prescription. The nutritional risk score can be obtained directly from score data already stored in the medical record database, or it can be obtained based on the patient's personal data stored in the medical record database and a preset nutritional risk assessment model.

[0067] Step S205: Determine the second medication standard based on the nutritional risk score, gastrointestinal disorder information, and the preset decision matrix.

[0068] The decision matrix represents the correspondence between nutritional risk scores, gastrointestinal disorder information, and the second medication standard. The second medication standard indicates the release status of enteral nutrition and parenteral nutrition preparations. Release status includes three categories: release, interception, and warning. When the release status is warning, it means that the current medication prescription needs to be confirmed or modified by the physician terminal device 102, and released after confirmation.

[0069] In some specific embodiments, a higher nutritional risk score indicates a higher level of nutritional risk for the patient, and gastrointestinal disturbance information includes the presence or absence of gastrointestinal disturbances. The decision matrix can be shown in Table 1.

[0070] Table 1: Decision Matrix

[0071]

[0072]

[0073] Based on the obtained nutritional risk score and gastrointestinal disorder information, and the pre-set decision matrix, the corresponding second medication standard can be determined.

[0074] Step S206: Review the medication prescription according to the second medication standard, and obtain and output the second review result.

[0075] The second review result includes three scenarios: approved, disapproved, and conditionally approved. Accordingly, when the nutritional preparation indicated for release by the second medication standard matches the prescription (e.g., the second medication standard indicates release of parenteral nutrition preparation, and the prescription contains parenteral nutrition preparation), the second review result is approved, and the corresponding prescription is released. When the nutritional preparation indicated for interception by the second medication standard matches the prescription (e.g., the second medication standard indicates interception of parenteral nutrition preparation, and the prescription contains parenteral nutrition preparation), the second review result is disapproved, and the corresponding prescription is intercepted. When the nutritional preparation indicated for warning by the second medication standard matches the prescription (e.g., the second medication standard indicates warning of parenteral nutrition preparation, and the prescription contains parenteral nutrition preparation), the second review result is conditionally approved, the corresponding prescription is temporarily intercepted, and is released after confirmation by the physician's terminal device 102.

[0076] In some specific embodiments, when a prescription is blocked, an blocking notification pop-up is sent to the physician's device 102 to indicate that the prescription review has failed. When a prescription is temporarily blocked, an alert notification pop-up is sent to the physician's device 102 to prompt the physician to verify or modify the prescription. In some specific examples, the alert notification pop-up displays a prompt message and operation controls. The prompt message prompts the physician to conduct a secondary evaluation of the prescription, and the operation controls include a first control for confirming the prescription and a second control for modifying the prescription. After the physician clicks the first control, the review device 101 receives confirmation information from the physician's device 102 regarding the prescription. The prescription is then approved and released.

[0077] The review device 101 reviews the medication prescription according to the second medication standard and obtains the corresponding review result. In some examples, the patient's nutritional risk score is greater than or equal to the preset risk threshold, and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction. In this case, the corresponding second medication standard is to allow the use of parenteral nutrition preparations and allow the use of enteral nutrition preparations. If the prescription includes parenteral or enteral nutrition preparations, the second review result is "approved." In other examples, the patient's nutritional risk score is less than the preset risk threshold, and the gastrointestinal disorder information indicates the absence of gastrointestinal dysfunction. In this case, the corresponding second medication standard is to block the use of parenteral nutrition preparations and warn of the use of enteral nutrition preparations. If the prescription is for parenteral nutrition preparations, the second review result is "approved"; if the prescription is for enteral nutrition preparations, the second review result is "conditionally approved."

[0078] Parenteral nutrition preparations and enteral nutrition preparations are different types of nutritional preparations. A prescription may include only one type of nutritional preparation or both types. In some specific embodiments, the second medication standard includes the review standard for enteral nutrition preparations and the review standard for parenteral nutrition preparations. Based on the type of nutritional preparation included in the identified prescription, the corresponding review standard is applied to determine the review result.

[0079] In the aforementioned method for processing information on parenteral nutrition preparations, in response to a prescription review request, the method retrieves and obtains the corresponding clinical diagnostic data. Based on the clinical diagnostic data, it determines whether there is an indication for parenteral nutrition preparations. If an indication exists, the prescription is reviewed using a first medication standard indicating the release of parenteral nutrition preparations, and the review result is obtained and output. If no indication exists, the method further obtains the patient's nutritional risk score and gastrointestinal disturbance information, and determines a second medication standard based on the nutritional risk score and gastrointestinal disturbance information. The prescription is then reviewed using the second medication standard. By prioritizing the determination of whether there is an indication for parenteral nutrition preparations, the method directly reviews the prescription when an indication exists, improving the efficiency of prescription review and saving computational resources required for review. When no indication exists, the second medication standard for review is determined comprehensively based on the obtained nutritional risk score and gastrointestinal disturbance information. By comprehensively determining the second medication standard through multi-dimensional evaluation factors, the accuracy and rationality of the nutritional preparation prescription review results can be improved.

[0080] In some embodiments, clinical diagnostic data corresponding to medication prescriptions is retrieved and obtained, and disease keywords are extracted from the clinical diagnostic data, including:

[0081] Based on the patient's identity information in the medication prescription, retrieve and obtain the corresponding clinical diagnostic data from the medical record database, identify the clinical diagnostic data, and extract disease keywords.

[0082] The medication prescription contains the patient's identity information, and the medical record database stores the patient's clinical diagnosis data. The review device 101 retrieves the corresponding clinical diagnosis data from the medical record database based on the patient's identity information in the medication prescription.

[0083] Specifically, identifying and extracting disease keywords from clinical diagnostic data can be achieved by using a pre-trained language model for context awareness, or by using other keyword extraction methods.

[0084] In some embodiments, the method for processing nutritional preparation medication information further includes: when the matching result indicates a matching failure, determining a target nutritional risk assessment model from a preset nutritional risk assessment model based on the patient's age data, obtaining the patient's assessment data and inputting it into the target nutritional risk assessment model to obtain a nutritional risk score.

[0085] In some specific embodiments, the nutritional risk assessment model may include multiple models for nutritional assessment of different age groups. For example, based on the World Health Organization's standard age groups of children, adolescents, middle-aged, and elderly, there may be corresponding first, second, third, and fourth models. Each model differs in its selection of assessment data and scoring calculation methods. Patient assessment data may include basic physical data, dietary data, and disease data. Basic physical data may include age, height, weight, and recent weight changes. Dietary data includes recent food intake data and changes in food quantity. In some specific cases, the assessment data may also include biochemical indicator test data and clinical examination data (such as the presence of muscle wasting or edema).

[0086] Based on the patient's age data, a corresponding target nutritional risk assessment model is determined. The assessment data is then input into the target nutritional risk assessment model to obtain a nutritional risk score. A higher score indicates a higher risk of malnutrition for the patient.

[0087] In some specific embodiments, taking the nutritional risk assessment model as an example, which includes a fifth model for assessing minors and a sixth model for assessing adults, the fifth model can be a model trained based on the Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) or the Pediatric Nutritional Risk Score (PNRS), or other nutritional assessment tools suitable for minors. The sixth model can be a model trained based on Nutritional Risk Screening 2002 (Nutritional Risk Screening 2002, a method recommended by the European Society for Parenteral and Enteral Nutrition for screening nutritional risks in hospitalized patients). Accordingly, when the fifth model is trained using STAMP, the risk threshold is 1, with a nutritional risk score less than 1 indicating low nutritional risk and greater than or equal to 2 indicating high nutritional risk. When the sixth model is trained using NRS2002, the risk threshold is 3, with a nutritional risk score less than 3 indicating low nutritional risk and greater than or equal to 3 indicating high nutritional risk.

[0088] By using multiple pre-set nutritional risk assessment models that match different age groups, and selecting the appropriate target nutritional risk assessment model based on the patient's age to conduct a nutritional risk score, the accuracy of the nutritional risk score can be improved. Since the nutritional risk score is one of the factors in determining the second medication standard, it also improves the accuracy of the prescription review results for nutritional preparations.

[0089] In some specific embodiments, the risk threshold in the decision matrix is ​​determined by the assessment criteria adopted by the nutritional risk assessment model. Taking the nutritional risk assessment model as an example, which includes a fifth model for assessing minors and a sixth model for assessing adults, the decision matrix includes a first decision matrix corresponding to the fifth model and a second decision matrix corresponding to the sixth model. The risk threshold in the first matrix is ​​1, and the risk threshold in the second matrix is ​​3.

[0090] In some embodiments, the nutritional risk score is positively correlated with the degree of malnutrition risk. The second medication standard is determined based on the nutritional risk score, gastrointestinal disorder information, and a preset decision matrix, including the following steps: comparing the nutritional risk score with a preset risk threshold to obtain a comparison result, and determining the second medication standard based on the comparison result, gastrointestinal disorder information, and the decision matrix.

[0091] The second medication criteria include the following situations:

[0092] Scenario 1: When the comparison results indicate that the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the second medication standard indicates that enteral nutrition preparations and parenteral nutrition preparations are permitted.

[0093] Scenario 2: When the comparison results indicate that the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates that enteral nutrition preparations can be administered and parenteral nutrition preparations should be administered under warning.

[0094] Scenario 3: When the comparison results indicate that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the second medication standard indicates warning for enteral nutrition preparations and warning for parenteral nutrition preparations.

[0095] Scenario 4: When the comparison results indicate that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates warning against enteral nutrition preparations and blocking the use of parenteral nutrition preparations.

[0096] In some specific embodiments, the second medication criteria can be determined with reference to Table 1 above.

[0097] In some embodiments, when the matching result indicates a failure, the review process for nutritional supplement medication information can be as follows: Figure 3 As shown. Includes steps S301 to S309.

[0098] Step S301: When the matching result indicates a failure, determine the target nutritional risk assessment model from the preset nutritional risk assessment model based on the patient's age data.

[0099] Step S302: Obtain the patient's assessment data and input it into the target nutritional risk assessment model to obtain a nutritional risk score.

[0100] Step S303: Determine whether the nutritional risk score is greater than or equal to the risk threshold corresponding to the target nutritional risk assessment model. If yes, proceed to step S304: Determine whether there is a gastrointestinal disorder. If no, proceed to step S305: Determine whether there is a gastrointestinal disorder, and then, based on the determination results of steps S304 and S305, proceed to steps S306, S307, S308, or S309 accordingly.

[0101] Step S306: Review the medication prescription according to the standard that both parenteral nutrition and enteral nutrition preparations have passed.

[0102] Step S307: Review the medication prescription according to the standards for warning of parenteral nutrition preparation and approval of enteral nutrition preparation.

[0103] Step S308: Review the medication prescription according to the standard that both parenteral nutrition preparations and enteral nutrition preparations trigger warnings.

[0104] Step S309: Review the medication prescription according to the standards for interception of parenteral nutrition preparations and warning of enteral nutrition preparations.

[0105] In some specific embodiments, the nutritional preparation medication information processing method further includes the following steps: determining a target decision matrix from a set of preset decision matrices based on the patient's age data, and determining a second medication standard based on the nutritional risk score, gastrointestinal disorder information, and the target decision matrix.

[0106] The system includes several pre-defined decision matrices, including a first decision matrix for adults and a second decision matrix for minors. The risk threshold in the nutrition risk scoring item of each decision matrix is ​​the starting value for the corresponding nutrition risk assessment model, indicating a high nutritional risk. For example, when the nutrition risk score in the first decision matrix is ​​determined based on NRS2002, the risk threshold is 3.

[0107] In some embodiments, the method for processing nutritional preparation medication information further includes the following step: when the matching result indicates a matching failure, determining gastrointestinal disorder information based on clinical diagnostic data.

[0108] This may include the following situations:

[0109] Scenario 1: When clinical diagnostic data indicates that the patient has at least one of the following symptoms: diarrhea, abdominal pain, vomiting, and high stoma output, the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction.

[0110] Scenario 2: When clinical diagnostic data indicates that the patient does not have diarrhea, abdominal pain, vomiting, or high stoma drainage, the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction.

[0111] In some embodiments, the method for processing nutritional preparation medication information further includes: when the first review result or the second review result indicates that the prescription has not been approved, outputting the corresponding reason for the failure to provide a reference for prescription modification.

[0112] When the review result indicates failure, the reason for failure will be output along with the result. The reason for failure can be displayed on the display interface of the physician's terminal device via a pop-up reminder, or it can be displayed on the prescription issuance interface of the physician's terminal device 102.

[0113] By outputting the reason for the failure when the review result indicates that the prescription has not passed, suggestions for prescription modification can be provided to physicians, thereby improving the efficiency of the prescription processing workflow.

[0114] In some embodiments, the method for processing information on the use of nutritional preparations further includes: storing and analyzing the review process information of completed prescriptions, generating a nutritional preparation medication analysis report, which is used to present the distribution of prescriptions that failed the review by department and / or physician.

[0115] By storing and analyzing the review process information of completed medication prescriptions, the review trajectory of medication prescriptions can be recorded. Based on the nutritional preparation medication analysis report, the system can classify and analyze the prescriptions from dimensions such as department, physician, and reason for failure. This can provide optimization guidance for subsequent updates to the medication prescription review process and provide data support for the evaluation of departments or physicians in hospitals.

[0116] In some embodiments, the nutritional preparation medication information processing method further includes the following steps: in response to a prescription request for a target patient, retrieving and obtaining the target patient's clinical diagnostic data and nutritional risk score, determining medication recommendation information based on the clinical diagnostic data and nutritional risk score, and outputting the medication recommendation information to provide a prescription reference. The medication recommendation information may include a recommendation to prescribe enteral nutrition preparations and / or parenteral nutrition preparations.

[0117] A prescription request can be based on a prescription issuance operation performed by the physician on the physician's terminal device, such as opening a prescription issuance window, clicking the prescription issuance control, or entering any information in the prescription content input box.

[0118] When the review device 101 detects a prescription request from the physician device 102, it retrieves and obtains the target patient's clinical diagnosis data and nutritional risk score from the medical record database. Based on the obtained clinical diagnosis data and nutritional risk score, it determines medication advice information to provide a reference for prescription issuance. This simplifies the prescription issuance process, improves prescription issuance efficiency, and reduces the probability of irrational prescriptions.

[0119] Specifically, medication recommendations can be determined based on clinical diagnostic data and nutritional risk scores. This may include: determining whether there is an indication for parenteral nutrition and gastrointestinal dysfunction based on clinical diagnostic data, and then determining medication recommendations based on the presence of the indication for parenteral nutrition, the presence of gastrointestinal dysfunction, and the nutritional risk score.

[0120] In some specific embodiments, the method for processing nutritional preparation medication information further includes the following steps: when it fails to retrieve and obtain the nutritional risk score of the target patient, outputting a prompt message indicating that a nutritional risk assessment should be conducted, and sending a list of corresponding assessment data issues to the physician's terminal device based on the target patient's age data.

[0121] It should be understood that, although Figure 2 , Figure 3 The steps in the flowchart are shown sequentially according to the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Figure 2 , Figure 3 Unless otherwise expressly stated herein, the steps illustrated and other steps involved in the embodiments are not subject to strict order restrictions and may be performed in other orders. Furthermore, at least some steps in the foregoing embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but may be performed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but may be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0122] In a second aspect, embodiments of this disclosure provide a nutritional preparation medication information processing device, such as... Figure 4 The nutritional preparation medication information processing device 400 shown includes: a disease determination module 410, an indication matching module 420, a first review module 430, an evaluation data acquisition module 440, a second medication standard determination module 450, and a second review module 460.

[0123] The symptom identification module 410 is used to respond to the review request for the medication prescription, retrieve and obtain the clinical diagnostic data corresponding to the medication prescription, and extract the symptom keywords in the clinical diagnostic data, wherein the medication prescription is a nutritional preparation medication prescription.

[0124] The indication matching module 420 is used to match and analyze disease keywords with preset parenteral nutrition indication information to obtain matching results.

[0125] The first review module 430 is used to review the medication prescription according to the first medication standard when the matching result indicates a successful match, and to obtain and output the first review result.

[0126] The assessment data acquisition module 440 is used to acquire the nutritional risk score and gastrointestinal disorder information of the patient corresponding to the medication prescription when the matching result indicates a failure to match.

[0127] The second medication standard determination module 450 is used to determine the second medication standard based on nutritional risk scores, gastrointestinal disorder information, and a preset decision matrix.

[0128] The second review module 460 is used to review medication prescriptions according to the second medication standards, and to obtain and output the second review results.

[0129] Among them, the medication prescription is the prescription for nutritional preparations. The first medication standard indicates the release of parenteral nutrition preparations. The decision matrix is ​​used to represent the correspondence between nutritional risk scores, gastrointestinal disorder information and the second medication standard. The second medication standard indicates the release status of enteral nutrition preparations and parenteral nutrition preparations.

[0130] In some embodiments, the symptom determination module 410 includes a data acquisition unit and a keyword extraction unit.

[0131] The data acquisition unit is used to retrieve and obtain corresponding clinical diagnostic data from the medical record database based on the patient's identity information in the medication prescription.

[0132] The keyword extraction unit is used to identify clinical diagnostic data and extract disease keywords.

[0133] In some embodiments, the nutritional preparation medication information processing device 400 may further include a scoring comparison unit and a standard determination unit. The scoring comparison unit is used to compare the nutritional risk score with the risk threshold to obtain a comparison result. The standard determination unit is used to determine a second medication standard based on the comparison result, gastrointestinal disorder information, and a decision matrix.

[0134] Among them, when the comparison results indicate that the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the determined second medication standard indicates the administration of enteral nutrition preparations and the administration of parenteral nutrition preparations.

[0135] When the comparison results indicate that the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates that enteral nutrition preparations can be administered and parenteral nutrition preparations should be administered under warning.

[0136] When the comparison results indicate that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the second medication standard indicates warning for enteral nutrition preparations and warning for parenteral nutrition preparations.

[0137] When the comparison results indicate that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates warning against enteral nutrition preparations and blocking the use of parenteral nutrition preparations.

[0138] In some embodiments, the nutritional preparation medication information processing device 400 further includes a gastrointestinal disorder information determination module, which is used to determine gastrointestinal disorder information based on clinical diagnostic data when the matching result indicates a matching failure.

[0139] Among them, gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction when clinical diagnostic data indicates that the patient has at least one of the following symptoms: diarrhea, abdominal pain, vomiting, and high stoma output.

[0140] When clinical diagnostic data indicates that the patient does not have diarrhea, abdominal pain, vomiting, or high-output stoma, gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction.

[0141] In some embodiments, the nutritional preparation medication information processing device 400 further includes a reason output module, which outputs the corresponding reason for failure to provide a reference for prescription modification when the first review result or the second review result indicates that the prescription has not passed.

[0142] In some embodiments, the nutritional preparation medication information processing device 400 further includes a storage and analysis module, which is used to store and analyze the review process information of completed medication prescriptions and generate a nutritional preparation medication analysis report. The nutritional preparation medication analysis report is used to present the departmental distribution and / or physician distribution of prescriptions that have not passed the review.

[0143] For further specific limitations regarding the nutritional preparation medication information processing device, please refer to the limitations of the nutritional preparation medication information processing method described above. The nutritional preparation medication information processing device can also be used to execute further steps of the nutritional preparation medication information processing method in the embodiments of this disclosure, which will not be repeated here. Each module in the above-described nutritional preparation medication information processing device can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0144] In a third aspect, embodiments of this disclosure provide a prescription review system, such as Figure 5 As shown, the prescription review system 500 includes a physician terminal device 510, a review terminal device 520, and a medical record database 530.

[0145] The physician-side device 510 is used to issue prescriptions for nutritional supplements and to initiate review requests for such prescriptions.

[0146] The review device 520 is used to perform the steps of the nutritional preparation medication information processing method provided in any embodiment of the first aspect of this disclosure.

[0147] Database 530 is used to store patients' clinical diagnostic data.

[0148] In a fourth aspect, embodiments of this disclosure provide a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the nutritional preparation medication information processing method provided in any embodiment of the first aspect of this disclosure.

[0149] In some embodiments, the computer device may be a server, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores information about the medication prescription review process. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements the nutritional preparation medication information processing method in any embodiment of this document.

[0150] Those skilled in the art will understand that Figure 6The structures shown are merely block diagrams of some structures related to the embodiments of this disclosure and do not constitute a limitation on the computer devices to which the embodiments of this disclosure are applied. Specific computer devices may include more or fewer components than those shown in the figures, or combine certain components, or have different component arrangements.

[0151] In a fifth aspect, embodiments of the present disclosure provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the nutritional preparation medication information processing method provided in any embodiment of the first aspect of the present disclosure.

[0152] The computer-readable storage medium may be Figure 6 The non-volatile storage medium in the computer device shown.

[0153] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The aforementioned computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments of this disclosure can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0154] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this disclosure.

[0155] The above embodiments merely illustrate several implementation methods of this disclosure, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of protection of this disclosure. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this disclosure, and these all fall within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the appended claims.

Claims

1. A method for processing medication information of nutritional preparations, characterized in that, Applied to an auditing device, the method includes: In response to a request for review of a medication prescription, the clinical diagnostic data corresponding to the medication prescription is retrieved and obtained, and disease keywords are extracted from the clinical diagnostic data, wherein the medication prescription is a prescription for nutritional preparations. The disease keywords are matched and analyzed with the preset parenteral nutrition indication information to obtain the matching results; When the matching result indicates a successful match, the medication prescription is reviewed according to the first medication standard, and the first review result is obtained and output. The first medication standard indicates that the parenteral nutrition preparation is approved for use. When the matching result indicates a failure, obtain the nutritional risk score and gastrointestinal disorder information of the patient corresponding to the medication prescription; Based on the nutritional risk score, the gastrointestinal disturbance information, and a preset decision matrix, a second medication standard is determined. The decision matrix indicates that: if the nutritional risk score is greater than or equal to a risk threshold, and the gastrointestinal disturbance information indicates the presence of a gastrointestinal disturbance, then the second medication standard is to allow both enteral and parenteral nutrition. If the nutritional risk score is greater than or equal to a risk threshold, and the gastrointestinal disturbance information indicates the absence of a gastrointestinal disturbance, then the second medication standard is to allow both enteral and parenteral nutrition. If the nutritional risk score is less than a risk threshold, and the gastrointestinal disturbance information indicates the presence of a gastrointestinal disturbance, then the second medication standard is to warn of both enteral and parenteral nutrition. If the nutritional risk score is less than a risk threshold, and the gastrointestinal disturbance information indicates the absence of a gastrointestinal disturbance, then the second medication standard is to warn of both enteral and parenteral nutrition. The medication prescription is reviewed according to the second medication standard, and the second review result is obtained and output.

2. The method according to claim 1, characterized in that, The process of retrieving and obtaining the clinical diagnostic data corresponding to the medication prescription, and extracting disease keywords from the clinical diagnostic data, includes: Based on the patient's identity information in the medication prescription, retrieve and obtain the corresponding clinical diagnostic data from the medical record database; Identify the clinical diagnostic data and extract disease keywords.

3. The method according to claim 1, characterized in that, The method further includes: When the matching result indicates a failure, a target nutritional risk assessment model is determined from a preset nutritional risk assessment model based on the patient's age data. The patient's assessment data is obtained and input into the target nutritional risk assessment model to obtain the nutritional risk score.

4. The method according to claim 1, characterized in that, The nutritional risk score is positively correlated with the degree of malnutrition risk. The determination of the second medication standard based on the nutritional risk score, the gastrointestinal disorder information, and a preset decision matrix includes: The nutritional risk score is compared with a preset risk threshold to obtain a comparison result. Based on the comparison result, the gastrointestinal disorder information, and the decision matrix, the second medication standard is determined. Wherein, when the comparison result indicates that the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the second medication standard indicates the use of enteral nutrition formulations and the use of parenteral nutrition formulations; When the comparison result indicates that the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates that enteral nutrition preparations are permitted and parenteral nutrition preparations are indicated as required. When the comparison result indicates that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction, the second medication standard indicates warning for enteral nutrition preparations and warning for parenteral nutrition preparations; When the comparison result indicates that the nutritional risk score is less than the risk threshold and the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction, the second medication standard indicates warning against the use of enteral nutrition preparations and blocking the use of parenteral nutrition preparations.

5. The method according to any one of claims 1 to 4, characterized in that, The method further includes: When the matching result indicates a failure, the gastrointestinal disorder information is determined based on the clinical diagnostic data; Wherein, when the clinical diagnostic data indicates that the patient has at least one of diarrhea, abdominal pain, vomiting, and high stoma discharge, the gastrointestinal disorder information indicates the presence of gastrointestinal dysfunction; When the clinical diagnostic data indicates that the patient does not have diarrhea, abdominal pain, vomiting, or high stoma discharge, the gastrointestinal disorder information indicates that there is no gastrointestinal dysfunction.

6. The method according to claim 1, characterized in that, The method further includes: If the first or second review result indicates failure, the corresponding reason for failure will be output to provide a reference for prescription modification.

7. The method according to claim 1, characterized in that, The method further includes: The system stores and analyzes the review process information of completed medication prescriptions, and generates a nutritional preparation medication analysis report. The nutritional preparation medication analysis report is used to present the distribution of prescriptions that failed the review by department and / or physician.

8. A nutritional preparation medication information processing device, characterized in that, The device includes: The symptom identification module is used to respond to a review request for a medication prescription, retrieve and obtain the clinical diagnostic data corresponding to the medication prescription, and extract symptom keywords from the clinical diagnostic data; The indication matching module is used to match and analyze the disease keywords with preset parenteral nutrition indication information to obtain matching results; The first review module is used to review the medication prescription according to the first medication standard when the matching result indicates a successful match, and to obtain and output the first review result; The assessment data acquisition module is used to acquire the nutritional risk score and gastrointestinal disorder information of the patient corresponding to the medication prescription when the matching result indicates a matching failure; The second medication standard determination module is used to determine a second medication standard based on the nutritional risk score, the gastrointestinal disorder information, and a preset decision matrix. The decision matrix indicates that: if the nutritional risk score is greater than or equal to a risk threshold, and the gastrointestinal disorder information indicates the presence of a gastrointestinal disorder, then the second medication standard is to allow both enteral nutrition and parenteral nutrition. If the nutritional risk score is greater than or equal to the risk threshold, and the gastrointestinal disorder information indicates the absence of a gastrointestinal disorder, then the second medication standard is to allow both enteral nutrition and parenteral nutrition. If the nutritional risk score is less than the risk threshold, and the gastrointestinal disorder information indicates the presence of a gastrointestinal disorder, then the second medication standard is to warn of both enteral nutrition and parenteral nutrition. If the nutritional risk score is less than the risk threshold, and the gastrointestinal disorder information indicates the absence of a gastrointestinal disorder, then the second medication standard is to warn of enteral nutrition and block parenteral nutrition. The second review module is used to review the medication prescription according to the second medication standard, and obtain and output the second review result; The medication prescription is a nutritional preparation prescription, the first medication standard indicates the release of parenteral nutrition preparations, the decision matrix is ​​used to represent the correspondence between nutritional risk score, gastrointestinal disorder information and the second medication standard, and the second medication standard indicates the release status of enteral nutrition preparations and parenteral nutrition preparations.

9. A prescription review system, characterized in that, The prescription review system includes review terminal equipment, physician terminal equipment, and a medical record database; The physician-side device is used to issue prescriptions for nutritional supplements and to initiate review requests for these prescriptions. The auditing terminal device is used to perform the steps of the method according to any one of claims 1 to 7; The medical record database is used to store patients' clinical diagnostic data.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

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