Medical instrument logistics verification method

Abstract

The invention discloses a medicine and instrument logistics verification method, and relates to the field of medicine and instrument logistics safety verification, and the method comprises the steps: a selling end: a user selects offline delivery after successful ordering and payment, the user reserves a selling machine with a medicine and instrument stock in an applet, and the selling end sends the position of the selling machine, medicine and instrument information, and user information to a medical end; the medical care terminal is used for acquiring the medical record of the user according to the electronic health card in the user information, preliminarily matching data corresponding to the medical record of the user according to the medical instrument data, and sending a result to the medical care personnel for review; and the medical care terminal sends the examination result back to the applet for display, and meanwhile, the mechanical selling terminal synchronously controls the mechanical selling machine to limit the pickup of the reserved medical instruments. According to the invention, the whole process from online to offline and from payment to pickup is digitally managed, and the rights and responsibilities are clear and traceable.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of medical device logistics safety verification, and in particular to a medical device logistics verification method. BACKGROUND

[0002] Many hospitals today are equipped with medical device vending machines, and users can place orders from the applet and choose in-hospital distribution or offline pickup; However, the medical device vending machine is a third party that is not a doctor-patient in the hospital system and cannot access the medical data, so whether the medical device is safe, accurate, and reasonable to deliver to the user becomes a problem that needs to be solved; here, safe, accurate, and reasonable correspond to the current situation of misuse of medical devices, contamination during transportation, inaccurate transportation location, user's inability to pick up the goods, user delivery errors, and user overuse of medication, among others, where overuse of medication requires reasonable use of medication based on the user's condition, but users do not have the relevant knowledge, such as drug allergies and drug interactions, so unreasonable use of medication leads to adverse reactions. Considering that the purchased medical device is not the user's own, it is difficult to make the use of the medical device reasonable. SUMMARY

[0003] The present application provides a medical device logistics verification method to solve the problems of the prior art.

[0004] In a first aspect, the present application provides a medical device logistics verification method, comprising: Medical device vending side: after successful payment of user order, offline pickup is selected, the user reserves the medical device vending machine with stock in the applet, and the medical device vending side sends the medical device vending machine location, medical device information, and user information to the medical side; Medical side: according to the electronic health card in the user information, the user's medical record is obtained, and after preliminary matching of the user's medical record corresponding data according to the medical device data, the result is sent to the medical staff for further review; The medical side sends the review results back to the applet display while the medical device vending side synchronously controls the medical device vending machine to limit the pickup of the reserved medical device.

[0005] Further, the medical device vending side sends data information to the medical side, and a standardized data package is generated at the medical device vending side, including: Order information: order number, payment time, and payment amount; User information: user OpenID, electronic health card ID, name, and mobile phone number; Medical device information: including SPU / SKU product unique code, product name, specification, quantity, and unit price; Device information: target medical device machine number and geographic location.

[0006] Further, after successful payment of the user order, offline pickup is selected, and the specific process includes the following steps: Confirming the order: accessing the intelligent audit engine to preliminarily examine the medicine and equipment; Payment order: at the moment of successful payment, the medical equipment selling end sends a standardized data package to the intelligent audit engine through an internal interface for in-depth examination; Among them, the intelligent audit engine is part of the medical staff end, and the intelligent audit engine examines the safety of the medicine and equipment.

[0007] Further, the access intelligent audit engine preliminarily examines the medicine and equipment, specifically including: Automatic release of the whitelist, including the category whitelist and the user behavior whitelist, automatically releasing the medicine and equipment included in the whitelist, and automatically releasing the user behavior whitelist; Among them, the low-risk medicine and equipment library established in the category whitelist includes: sterile gauze, cotton swab, condom, physical contraceptive equipment, blood glucose test paper, disposable mask, and ordinary wheelchair rental; Among them, the user behavior whitelist includes: the user's regular purchase of the medicine and equipment in the category whitelist.

[0008] Further, the step of in-depth examination by the intelligent audit engine includes: Automatic examination based on preset rules, which are jointly formulated and supplemented by the medical department, the pharmacy department, and the clinician, including: through the electronic health card ID, automatically retrieving the user's recent medical records, including: diagnosis results, medical advice, prescriptions, allergy history, liver and kidney function test reports; The preset rule library includes: Indication matching: purchasing levofloxacin eye drops for bacterial conjunctivitis is passed; purchasing nifedipine controlled-release tablets for hypertension is passed; Contraindication interception: the allergy history contains sulfonamides, and the purchase of sulfonamide eye drops is rejected; the diagnosis contains pregnancy, and the purchase of drugs prohibited or used with caution for pregnant women is rejected; Interaction interception: the current medication contains warfarin, and the purchase of aspirin is rejected; Dose and repeated medication check: the user has recently purchased a box of ibuprofen, and the purchase of the same drug again sends a prompt message: you have recently purchased this drug, please avoid excessive use to the medical equipment end, and at the same time triggers a warning level rule, that is, the sending result is sent to the medical staff for re-examination; Based on the preset rule examination, if it is clear to pass or reject, the medical staff end directly executes and records the reason. For rules that cannot be clearly judged, including ambiguous diagnosis description, rules not covered, automatically upgrade to warning level rules, or directly trigger warning level rules, the result is sent to the medical staff for re-examination.

[0009] Further, the medical staff re-examine the warning level rule as follows: The medical staff is shown the following data: patient information, purchase of medical devices, and associated medical records; The medical staff clicks on the patient information to view the detailed medical record; The medical staff clicks on the pass or reject, and selects or fills in the review reason by pulling down. The options selected by pulling down are pre-set in the rule library, including: indication matching, contraindication interception, interaction interception, and dose and repeated drug inspection.

[0010] Further, the medical staff re-examines the warning level rules, which further include: An automatic processing mechanism is set to handle the timeout. If the medical staff does not respond within the timeout, the medical staff end directly handles the rejection; The timeout time is synchronized with the mini-program. The mini-program controls the medical device vending machine to keep the corresponding medical device locked.

[0011] Further, it includes: When the review is passed: The intelligent engine sends instructions to the target medical device vending machine to unlock the corresponding order user's take medical device to keep the locked state, and sends the take code to the mini-program in the order interface. The user takes away the medical device through the take code; When the review is rejected: the intelligent engine sends instructions to the target medical device vending machine to keep the lock; at the same time, the mini-program sends a notification: your order has not passed the audit due to [specific reason], the fee will be refunded, [specific reason] is filled in the pre-set rule library options or the medical staff fills in the review reason; The order state is displayed in the mini-program interface, including: under review, please take the goods with the code after passing the review, and the review has not passed.

[0012] The drug and medical device logistics verification method provided by the application reduces the unnecessary review burden of medical staff, avoids missing high-risk situations in automatic review, ensures that the final review right is still in the hands of medical staff to protect the safety of user medication; The application realizes digital management from online to offline, from payment to delivery, clear rights and responsibilities, and traceability. BRIEF DESCRIPTION OF DRAWINGS

[0013] The drawings described herein are used to provide further understanding of the embodiments of the application, constitute a part of the application, and do not constitute a limitation on the embodiments of the application. In the drawings: Figure 1 A three-level review mechanism flowchart of a drug and medical device logistics verification method is provided for an exemplary embodiment of the application. DETAILED DESCRIPTION

[0014] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention.

[0015] This invention combines data analysis to address the safety, accuracy, and rationality issues of drug and medical device vending machines, and proactively embeds doctors' professional judgment and experience into every stage of drug and medical device sales through data rules and algorithms. The present invention provides a method for verifying the logistics of pharmaceuticals and medical devices, which aims to solve the above-mentioned technical problems in the prior art.

[0016] The technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0017] The core innovation of this invention lies in the rule base. The rule base is not a static list, but a dynamic, self-learning knowledge system, mainly composed of the following parts: The static knowledge rule layer includes: a basic drug information database, containing generic names, brand names, specifications, pharmacological classifications, indications, dosage and administration, contraindications, adverse reactions, drug interactions, and medication tips for special populations; a medical device information database, containing device classifications, intended uses, contraindications, warnings and precautions, sterilization methods, and expiration dates; and a component database, which breaks down drugs to the chemical component level for precise allergen testing and interaction assessment.

[0018] The dynamic patient data rule layer includes: Allergy Contraindication Rule: If a patient's allergy history includes [Drug Ingredient A] AND the purchased drug / device contains [Ingredient A] or has a cross-reactivity with [Ingredient B], then a highest-risk alert is triggered, and the order is automatically rejected. Drug Interaction Rule: Drug-Drug Interaction: If a patient's current medication list includes [Drug Y] AND the purchased drug is incompatible with [Drug Y] (e.g., warfarin with multiple antibiotics, nonsteroidal anti-inflammatory drugs), then a high-risk alert is triggered, requiring manual review and a "Bleeding Risk" message is displayed. Drug-Test Value Interaction: If a patient's recent test result is abnormal (e.g., creatinine clearance <30 ml / min) AND the purchased drug requires renal excretion, then a warning is triggered, indicating "Patient has renal insufficiency, dosage adjustment required," and the order is transferred to manual review. Indication Compliance Rule: If a patient's recent diagnosis / complaint is [Symptom P] AND the indication of the purchased drug is highly relevant to [Symptom P], then this becomes a supporting condition for approval. IF completely unrelated THEN triggers a warning (e.g., diagnosed with "athlete's foot" but purchasing "blood pressure medication"). Disease contraindication rule: IF the patient's diagnosis includes [disease X] (e.g., glaucoma) AND the purchased medication's contraindications include [disease X] THEN triggers rejection. For example, a patient diagnosed with "glaucoma" purchases "atropine sulfate tablets".

[0019] The behavioral and statistical rules layer includes: Dosage and frequency rules: IF Single purchase quantity exceeds the standard course dosage (e.g., acetaminophen single purchase > 5 boxes) THEN trigger rejection. Purchase frequency rules: IF The same user repeatedly purchases the same controlled or addictive drug within a short period (e.g., cold medicine containing ephedrine) THEN trigger an alert and freeze the account, notifying a pharmacist for manual intervention. Related purchase rules: IF A user simultaneously purchases two drugs that are not normally used together (e.g., vitamins and wound first aid dressings) THEN record this pattern, but the risk level is low. IF Simultaneous purchase of multiple cold medicines (potentially leading to overdose of similar ingredients) THEN trigger a warning.

[0020] Example 1: A method for verifying pharmaceutical and medical device logistics includes steps 1-3, and a three-level review mechanism such as... Figure 1 As shown, the process is as follows: Step 1: Confirm Order: The intelligent review engine conducts a preliminary review of the drugs and medical devices, and those on the whitelist are automatically approved; Step 2: Order Payment: Upon successful payment, the sales terminal sends a standardized data packet to the intelligent review engine in real time via an internal interface for in-depth review, and performs automatic review based on preset rules; Step 3: Manual review: For rules that cannot be clearly judged, including vague diagnostic descriptions, rules that are not covered, rules that are automatically upgraded to warning level rules, or rules that are directly triggered to warning level rules, the results are sent to medical staff for review again.

[0021] Example 2: Scenario: User Zhang purchases "sterile gauze" and "medical cotton swabs" for his family members who are being discharged from the hospital after surgery.

[0022] process: 1. Mr. Zhang successfully placed an order and made payment through the mini-program.

[0023] 2. Sales terminal: Obtain order information and identify whether the product code belongs to the preset "low-risk medical consumables whitelist".

[0024] Rule: "IF product category ∈ whitelist THEN auto-authorization".

[0025] 3. Execution: The terminal does not need to retrieve the electronic health card or medical records; it directly sends authorization instructions to the vending machine within milliseconds and generates a pickup code. The entire process requires no human intervention.

[0026] Results: Significantly improves efficiency, reduces system load, and optimizes user experience.

[0027] Example 3: Scenario: User Li (whose electronic health card shows "allergy to sulfonamide drugs") attempts to purchase "Compound Sulfamethoxazole" (the main ingredient of which is sulfamethoxazole).

[0028] 1. Li placed the order and made the payment.

[0029] 2. The medical staff retrieved the patient's electronic health card and read the allergy history: "Allergy to sulfonamide drugs".

[0030] 3. Rule Base Judgment: Step 1: Analyze the ingredients of the purchased drug "Compound Sulfamethoxazole" and match it with "Sulfamethoxazole". Step 2: Match the ingredient "Sulfamethoxazole" with the patient's allergy history "Sulfonamides", hitting the "Allergy Contraindication Rule". Step 3: Generate the decision result: "Reject", and generate the reason: "You have a history of allergy to sulfonamides, and the purchased drug poses a serious allergic risk".

[0031] 4. Execution: The medical staff sends a "lock" command to the vending machine through the vending terminal, and the vending terminal sends a notification of review failure and the specific reason to the user's mini-program.

[0032] In the embodiments provided by this invention, it should be understood that the disclosed method can be implemented in other ways. For example, the embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0033] Furthermore, in the embodiments of the present invention, the functional modules can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or in the form of hardware plus software functional modules.

[0034] Those skilled in the art will understand that embodiments of the present invention can be provided as methods. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects.

[0035] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0036] The above are merely embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

[0037] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the invention disclosed herein in the specification and examples. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the foregoing claims.

[0038] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for verifying the logistics of pharmaceuticals and medical devices, characterized in that, include: Medical device sales terminal: After a user successfully places an order and makes payment, they can choose to pick up the goods offline. The user can reserve a medical device vending machine with stock of medicines and medical devices in the mini program. The medical device sales terminal sends the location of the vending machine, medicine and medical device information, and user information to the medical staff terminal. Healthcare staff: Based on the electronic health card in the user information, obtain the user's medical records, and after initially matching the corresponding data in the user's medical records with the drug and medical device data, send the results to the healthcare staff for further review; While the medical staff sends the review results back to the mini-program for display, the sales terminal simultaneously controls the vending machine to restrict the pickup of pre-ordered medicines and medical devices.

2. The method for verifying pharmaceutical and medical device logistics according to claim 1, characterized in that, in, The sales terminal sends data to the medical staff terminal, generating a standardized data packet on the sales terminal, which includes: Order information: Order number, payment time, payment amount; User information: User OpenID, Electronic Health Card ID, Name, Mobile Number; Pharmaceutical and medical device information: including the product's unique code for SPU / SKU, product name, specifications, quantity, and unit price; Equipment information: Target vending machine serial number and geographical location.

3. The method for verifying pharmaceutical and medical device logistics according to claim 2, characterized in that, After a user successfully places an order and pays, choosing to pick up the goods offline involves the following process: Order Confirmation: The intelligent review engine conducts a preliminary review of the drugs and medical devices; Payment order: The moment payment is successful, the sales terminal sends a standardized data packet to the intelligent review engine in real time through an internal interface for in-depth review; The intelligent review engine is part of the medical staff's end, and it performs safety reviews on drugs and medical devices.

4. The method for verifying pharmaceutical and medical device logistics according to claim 3, characterized in that, The intelligent review engine performs a preliminary review of drugs and medical devices, specifically including: Automatic whitelisting allows entry of drugs and medical devices included in the whitelist and automatic entry of those included in the user behavior whitelist. Among them, the low-risk drug and medical device database established in the category whitelist; The user behavior whitelist includes: the drug and medical device behaviors that users regularly purchase from the category whitelist.

5. The method for verifying pharmaceutical and medical device logistics according to claim 4, characterized in that, The steps involved in the in-depth review by the intelligent review engine include: Automatic review is performed based on preset rules, which are jointly formulated and supplemented by the Medical Affairs Department, Pharmacy Department, and clinicians. These rules include: automatically retrieving the user's recent medical records through the electronic health card ID, including: diagnosis results, medical orders, prescriptions, allergy history, and liver and kidney function test reports. The preset rule base includes: Indication matching, contraindication interception, interaction interception, dosage and duplicate dosing checks; If the judgment based on the preset rules is clear and the decision is clear, the medical staff will execute the decision directly and record the reason. If the rules cannot make a clear judgment, such as if the diagnosis description is vague or the rule is not covered, the decision will be automatically upgraded to a warning rule or the warning rule will be triggered directly. The result will be sent to the medical staff for review again.

6. The method for verifying pharmaceutical and medical device logistics according to claim 5, characterized in that, The steps for healthcare professionals to review warning-level rules again are as follows: Show the following data to medical staff: patient information, purchased medications and medical devices, and related medical records; Medical staff can click on the patient's information to view detailed medical records; Healthcare professionals can click to approve or reject, and then select or fill in the reason for the review from the drop-down menu. The drop-down menu includes options from the preset rule base, such as indication matching, contraindication blocking, interaction blocking, and dosage and duplicate medication check.

7. The method for verifying pharmaceutical and medical device logistics according to claim 6, characterized in that, The rule requiring healthcare professionals to re-examine warning-level cases also includes: Set up an automatic timeout handling mechanism. If medical staff do not respond within the timeout period, the medical staff terminal will directly process the application as rejected. Within the timeout period, synchronize with the associated mini-program and control the vending machine through the mini-program to keep the corresponding medicine and medical device locked.

8. The method for verifying pharmaceutical and medical device logistics according to claim 7, characterized in that, include: When the review is approved: The intelligent engine sends a command to the target vending machine to unlock the locked state when the user picks up the medicine and medical devices for the corresponding order. At the same time, it sends a message to the mini program to generate a pickup code on the order interface. The user can then pick up the medicine and medical devices using the pickup code. When the review is rejected: The intelligent engine sends an instruction to the target vending machine to keep it locked; at the same time, it sends a notification to the mini program: Your order failed the review due to [specific reason], and the fee will be refunded to the original payment method. [Specific reason] can be filled in the preset rule base options or the medical staff can fill in the review reason. The order status is displayed synchronously on the mini-program interface, including: under review, approved (please pick up the goods with the code), and not approved.

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