Internet-based hospital electronic prescription full-process circulation management system

By enabling full-process management of electronic prescriptions through an internet platform, the problem of patient queuing under the traditional paper prescription circulation model has been solved, the efficiency of drug circulation and resource allocation has been optimized, and the patient experience and pharmacy service capabilities have been improved.

CN120895197AActive Publication Date: 2025-11-04SICHUAN ACADEMY OF MEDICAL SCI SICHUAN PROVINCIAL PEOPLES HOSPITAL

Patent Information

Application Number
CN202511366698.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-24
Publication Date
2025-11-04
Estimated Expiration
2045-09-24

AI Technical Summary

Technical Problem

The traditional paper prescription circulation model is cumbersome. Patients need to queue at the hospital pharmacy to pick up their medicine. Cross-hospital transfers are complicated, and patients cannot flexibly choose the nearest pharmacy or delivery service, resulting in medication delays and resource waste.

Method used

The Internet-based hospital electronic prescription end-to-end management system includes modules for prescription information acquisition, patient identity management, pharmacy selection and matching, delivery method management, payment management, informed consent and electronic signature, order flow and status tracking, cold chain drug temperature control and data security, realizing end-to-end management of electronic prescriptions.

Benefits of technology

It has optimized the efficiency of drug circulation, reduced patient waiting time, expanded the service radius of pharmacies, improved drug turnover efficiency, ensured drug quality and safety, and reduced waste of logistics resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of medical informatization, and discloses a hospital electronic prescription full-process circulation management system based on the Internet. Comprising a prescription information acquisition module, a patient identity and authorization management module, a prescription validity judgment module, a drugstore selection and matching module, a distribution mode management module, a payment management module, an informed agreement and electronic signature module, an order circulation and state tracking module, a cold-chain medicine temperature control module and a data security and privacy protection module. The system solves the problems of low efficiency, high risk, difficulty in cooperation and the like in traditional prescription circulation through digitization and intelligentization, further promotes medical services to be converted from hospital-centered medical services to patient-centered medical services, and is an important support for constructing an efficient, safe and cooperative medical service system.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of medical informatization technology, and particularly relates to a hospital electronic prescription full-process flow management system based on the Internet. BACKGROUND

[0002] With the continuous deepening of medical system reform and the continuous promotion of the "Internet + medical health" strategy, the traditional medical service mode is undergoing profound changes. Among them, the prescription, as the core medical document of the doctor's diagnosis and treatment behavior and the patient's medication guidance, its flow efficiency and management level are directly related to the quality of medical services, the patient's medical experience and the rational allocation of medical resources.

[0003] In the traditional medical mode, the prescription flow mainly depends on the paper carrier. After the patient visits the doctor, the doctor writes or prints the paper prescription, and the patient needs to hold the prescription to queue for payment and wait for medicine in the hospital pharmacy. This mode has many disadvantages: Firstly, the paper prescription needs to be manually carried to the pharmacy by the patient, or transmitted by artificial transmission within the hospital. The link is complicated, and the queue time in the pharmacy is long during peak hours. The patient needs to go back and forth between the clinic and the pharmacy repeatedly, and the time consumption for single medicine taking can reach more than 30 minutes. If the prescription needs to be transferred across the hospital (such as external purchase medicine), the patient needs to make a copy and stamp, and the process is more complicated, which is easy to delay the medication due to omission. Secondly, the patient needs to go to the fixed hospital pharmacy to take medicine, and cannot flexibly choose the nearby pharmacy or deliver it to the home. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a hospital electronic prescription full-process flow management system based on the Internet, which solves the above problems.

[0005] In order to achieve the above purpose, the present application is realized by the following technical scheme: a hospital electronic prescription full-process flow management system based on the Internet, comprising: a prescription information acquisition module for acquiring patient electronic prescription information in real time through a hospital unified push interface, and storing the prescription information in a local database; a patient identity and authorization management module for receiving a login request of a patient mobile terminal, completing identity binding and authorization through a hospital public number or applet two-dimensional code scanning, and supporting management of multiple patient identities; a prescription validity judgment module for automatically identifying the prescription state according to the prescription issuing time, and marking the prescription as invalid if it is not settled for more than three days; a pharmacy selection and matching module for showing a list of retail pharmacies registered on the platform to the patient, supporting the patient to select a pharmacy, and matching the prescription medicine demand with the real-time inventory of the pharmacy; The delivery mode management module is configured to provide a selection portal for three delivery modes, including home delivery, delivery to the hospital yard, and self-pickup at the store, and automatically limit the selectable delivery modes according to the attributes of the medicines, that is, the in-hospital infusion medicines can only be delivered to the hospital yard, and the dual-channel and outpatient co-ordination medicines can only be ordered offline; The payment management module is configured to support two modes of online payment and offline payment, the online payment calls a third-party payment interface to complete the transaction, and the offline payment generates a to-be-paid order and supports in-store payment; The informed consent and electronic signature module is configured to pop up an informed consent form before the patient confirms the order, and after the patient reads and confirms the consent, the system calls a CA authentication electronic signature interface to complete the online prescription review by pharmacists and electronic signature; The order flow and state tracking module is configured to synchronize the order state to the hospital electronic prescription system, the pharmacy ERP system, and the logistics distribution system in real time after the patient submits the order, and support visual tracking of the whole process, including prescription review, packaging, warehouse out, delivery, receipt, confirmation of receipt, evaluation, and refund; The cold-chain medicine temperature control module is configured to obtain temperature data in real time through a temperature monitoring interface of a heat preservation box during the delivery of cold-chain medicines, and display the temperature change in the whole period in the form of a curve graph, to ensure the quality and safety of the medicines. The data security and privacy protection module is configured to ensure the security and compliance of the prescription information, patient information, and payment information in the transmission and storage process through multiple means, such as SSL digital certificate, data encryption storage, database private network access, operation log recording, permission hierarchical management, and signing of data security agreement.

[0006] Preferably, the specific way of obtaining the prescription information by the prescription information acquisition module is that the electronic prescription PDF or picture file pushed by the hospital HIS system is received through a hospital unified push interface, the patient information, medicine name, specification, quantity, usage, clinical diagnosis, doctor's signature, and issuing time in the prescription are analyzed, and the analyzed prescription information is mapped to the platform standard data model for data verification and deduplication, to ensure the uniqueness and integrity of the prescription.

[0007] Preferably, the specific way of completing identity binding and authorization by the patient identity and authorization management module is that the patient enters the system through the bottom menu link of the WeChat mini-program or the hospital public number, scans the prescription two-dimensional code after using the WeChat code scanning, the system automatically obtains the WeChat OpenID, matches and binds the WeChat OpenID with the hospital patient master index, supports binding multiple patient information under the same WeChat account, including name, ID number, medical card number, mobile phone number, and default delivery address, and supports adding, editing, deleting, and default setting of the patient information.

[0008] Preferably, the specific way in which the pharmacy selection and matching module matches the pharmacy and the drug inventory is that the platform operator performs online audit on the business license, drug business license, and pharmacy registration certificate of the registered pharmacy, and the pharmacy can receive prescription orders after passing the audit. Real-time access to pharmacy inventory data through the pharmacy ERP system API interface, inventory verification when the patient selects a drug, and ensuring that the drug is available.

[0009] Preferably, the specific way in which the distribution mode management module generates a distribution scheme is that the patient maintains multiple delivery address information, including the recipient's name, mobile phone number, detailed address, and zip code, and supports setting a default address. According to the drug attributes, pharmacy location, patient address, and preferred distribution mode, the optimal distribution scheme and estimated delivery time are automatically calculated.

[0010] Preferably, the automatic calculation method of the optimal distribution scheme and estimated delivery time is as follows: S1, obtain the attribute identifier of all drugs in this prescription, including: a) Cold chain flag - drugs that require 2-8°C transportation; b) Hospital infusion flag - injection drugs for use in hospitals only; c) Double channel / outpatient pooling flag - drugs that require offline medical insurance settlement.

[0011] S2: Perform first-round filtering in the set of available pharmacies based on the above attributes: If there is a cold chain flag, only pharmacies with cold chain transportation qualifications and a current number of available coolers ≥1 are retained. If there is a hospital infusion flag, only pharmacies within a straight-line distance of ≤3 km from the hospital and supporting delivery to the hospital are retained. If there is a double channel / outpatient pooling flag, only pharmacies that support medical insurance off-card payment or have opened outpatient pooling direct payment are retained. S3: Calculate the comprehensive distribution score Score for the filtered pharmacies, with the formula: Score = w1 × (1 - d / Dmax) + w2 × (1 - t / Tmax) + w3 × Sservice + w4 × Sreputation Where: d represents the driving distance from the pharmacy to the patient's delivery address; Dmax represents the farthest distance in the system on that day; t represents the average processing time of the pharmacy's current pending orders; Tmax represents the longest processing time in the system; Sservice represents the pharmacy's historical 30-day average delivery timeliness rate; Sreputation represents the pharmacy's historical 30-day patient evaluation average; w1-w4 are preset weights, with default values of w1=0.4, w2=0.3, w3=0.2, and w4=0.1, which can be dynamically adjusted by the platform operator. S4: Select the pharmacy with the highest score as the target pharmacy, and calculate the expected delivery time ETA according to the following rules: If the patient chooses to deliver to home: ETA = t_out + t_cooling_box + t_logistics x β, where β is the road condition coefficient given by real-time traffic data; If the patient chooses to deliver to the hospital: ETA = t_out + t_hospital_handover, where t_hospital_handover is fixed at 15 minutes; If the patient chooses to pick up at the store: ETA = t_picking + 10 minutes of reserved waiting time; S5: Add the ETA calculated in S4 to the current time to get the expected delivery time, and display it together with the target pharmacy information to the patient. If the patient manually modifies the delivery method or the delivery address, re-execute S1-S5.

[0012] Preferably, the specific way of completing electronic signature by the informed consent and electronic signature module is that the platform administrator maintains a drug purchase informed consent form template, supports customizing template content according to drug types and special medication scenarios, the patient reads and agrees to the informed consent form before confirming the order, the pharmacist calls the CA certification agency electronic seal interface to complete digital signature after online review, and the signature result and timestamp are stored in the order record.

[0013] Preferably, the specific way of real-time synchronization of order state by the order flow and state tracking module is to define order life cycle state nodes and flow rules, including pending review, review passed, pending payment, paid, packing, out of warehouse, in delivery, signed, evaluated, refunded, and push order state change reminders to the patient in real time through WeChat public number template message, small program subscription message, and SMS.

[0014] Preferably, the specific way of monitoring temperature by the cold chain drug temperature control module is to connect the temperature monitoring device of the insulation box through the Internet of Things protocol, collect temperature data in real time and report to the platform, and automatically trigger alarm to notify the pharmacy and the patient when the temperature exceeds the drug storage requirement range, and start the emergency handling process.

[0015] Preferably, the specific way of protecting data security by the data security and privacy protection module is to desensitize sensitive information such as patient name, ID number, mobile phone number and address during data display and export to prevent privacy leakage, record operation logs of all users and administrators, including login time, operation content, operation result, support log query and export, and meet the supervision and audit requirements.

[0016] The present application provides an Internet-based hospital electronic prescription full-process flow management system. Compared with the prior art, the following advantages are achieved: In the present application, the system provides three distribution modes of delivery to home, delivery to courtyard and self-pickup in store, and automatically limits the selectable range according to the attributes of the medicine, such as in-hospital infusion medicine can only be selected for delivery to courtyard, and dual-channel medicine only supports offline payment, which not only meets the diversified needs of patients, but also ensures the compliance of special medicine, and through a comprehensive scoring model, the optimal target pharmacy is selected, and the expected delivery time is dynamically calculated according to the distribution mode, medicine attribute, real-time traffic, etc., which not only optimizes the allocation of pharmacy resources, but also makes the platform flexible to respond to changes in operation strategy through dynamic weight adjustment, and finally realizes the multi-objective optimization of the shortest waiting time of patients, the lowest distribution cost of pharmacies and the highest quality of medicine delivery. In this way, through the electronic prescription full-process flow management system, on the one hand, patients do not need to queue in the hospital pharmacy and can directly choose a nearby pharmacy or have the medicine delivered to home, which relieves the pressure of hospital outpatient service, on the other hand, pharmacies expand their service radius by taking over prescription orders and improve the efficiency of medicine turnover, and the platform can also reduce the waste of logistics resources through intelligent matching and path optimization. BRIEF DESCRIPTION OF DRAWINGS

[0017] Fig. 1 The system framework diagram of the hospital electronic prescription full-process flow management system based on the Internet provided by the present application; Fig. 2 The actual flow chart of the hospital electronic prescription full-process flow management system based on the Internet provided by the present application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0019] Please refer to Figs. 1-2 The present application provides two technical solutions, specifically including the following embodiments: EMBODIMENT

[0020] The hospital electronic prescription full-process flow management system based on the Internet comprises: The prescription information acquisition module is configured to acquire patient electronic prescription information in real time through a hospital unified push interface and store the prescription information in a local database. The prescription information acquisition module acquires prescription information in the following specific manner: receiving an electronic prescription PDF or picture file pushed by a hospital HIS system through the hospital unified push interface, analyzing patient information, drug names, specifications, quantities, usage and dosage, clinical diagnoses, doctor signatures, and issuance times in the prescription, and mapping the analyzed prescription information to a platform standard data model, performing data verification and deduplication, and ensuring prescription uniqueness and integrity. The patient identity and authorization management module is configured to receive a login request of a patient mobile terminal, complete identity binding and authorization through scanning of a hospital public number or applet two-dimensional code, and support management of multiple patient identities. The patient identity and authorization management module completes identity binding and authorization in the following specific manner: a patient enters the system through a menu link at the bottom of a WeChat applet or a hospital public number, scans a prescription two-dimensional code after using WeChat, the system automatically acquires a WeChat OpenID, and the WeChat OpenID is matched and bound to a hospital patient main index. Multiple patient information, including names, ID numbers, medical insurance card numbers, mobile phone numbers, and default delivery addresses, can be bound under the same WeChat account. The patient information can be added, edited, deleted, and set by default. The prescription validity judgment module is configured to automatically identify a prescription state according to a prescription issuance time and mark a prescription that has not been settled for more than three days as invalid. The pharmacy selection and matching module is configured to show a patient a list of retail pharmacies that have registered on the platform, support the patient in selecting a pharmacy, and match prescription drug requirements with real-time inventory of the pharmacy. The pharmacy selection and matching module matches a pharmacy with drug inventory in the following specific manner: a platform operator performs online audit on a registered pharmacy in terms of a business license, a drug operation license, and a registered pharmacist certificate, and the pharmacy can receive a prescription order only after passing the audit. Real-time inventory data of the pharmacy are acquired through an API interface of a pharmacy ERP system. When a patient selects a drug, inventory verification is performed to ensure that the drug is available. The distribution mode management module is configured to provide a selection portal for three distribution modes, including distribution to home, delivery to hospital, and self-pickup at a store, and automatically limit selectable distribution modes according to drug attributes: in-hospital infusion drugs can only be distributed to the hospital, and dual-channel and outpatient co-ordination drugs can only be ordered for offline payment. The distribution mode management module generates a distribution scheme in the following specific manner: a patient maintains multiple delivery address information, including a delivery person's name, mobile phone number, detailed address, and postal code, and supports setting a default address. According to drug attributes, pharmacy locations, patient addresses, and distribution mode preferences, an optimal distribution scheme and an estimated delivery time are automatically calculated in the following manner: S1, acquire attribute identifiers of all drugs in the current prescription, including: a) Cold chain logo - medicine requiring 2-8°C transportation; b) Hospital infusion logo - injection only for use in hospital; c) Dual channel / outpatient logo - medicine requiring offline medical insurance settlement.

[0021] S2: Perform the first round of filtering in the set of optional pharmacies according to the above attributes: If there is a cold chain logo, only keep the pharmacies with cold chain transportation qualifications and the current number of available coolers ≥1; If there is a hospital infusion logo, only keep the pharmacies within a straight-line distance of ≤3 km from the hospital and support delivery to the hospital; If there is a dual channel / outpatient logo, only keep the pharmacies that support medical insurance off-card payment or have opened up outpatient co-ordination direct payment; S3: Calculate the comprehensive distribution score Score for the filtered pharmacies, the calculation formula is: Score = w1 × (1 - d / Dmax) + w2 × (1 - t / Tmax) + w3 × Sservice + w4 × Sreputation Where: d represents the driving distance from the pharmacy to the patient's delivery address; Dmax represents the farthest distance in the system on the day; t represents the average processing time of the pharmacy's current orders; Tmax represents the longest processing time in the system; Sservice represents the pharmacy's historical 30-day average delivery rate; Sreputation represents the pharmacy's historical 30-day patient evaluation average; w1-w4 are preset weights, default w1=0.4, w2=0.3, w3=0.2, w4=0.1, which can be dynamically adjusted by the platform operator; S4: Select the pharmacy with the highest Score as the target pharmacy, and calculate the estimated time of arrival ETA according to the following rules: If the patient chooses to deliver to home: ETA = t_outbound + t_cold_chain_packing + t_logistics × β, where β is the road condition coefficient given by real-time traffic data; If the patient chooses to deliver to the hospital: ETA = t_outbound + t_hospital_handover, t_hospital_handover is fixed at 15 minutes; If the patient chooses to pick up at the store: ETA = t_picking + 10 min reserved waiting time; S5: Add the ETA calculated in S4 to the current time to get the estimated arrival time, and display it together with the target pharmacy information to the patient. If the patient manually modifies the delivery method or delivery address, re-execute S1-S5.

[0022] Specifically, after the patient logs in the system through the mobile terminal, an electronic prescription containing two drugs appears in the prescription list: the first is an anti-tumor injection that needs to be transported in an environment of 2-8 ℃ and can only be infused in the hospital; the second is an oral targeted drug included in the outpatient co-ordination reimbursement range. The system first scans the attributes of all drugs in the prescription and generates a combination identifier of "cold chain + in-hospital infusion + outpatient co-ordination". Then, the system filters all the settled pharmacies in the first round in the background: only the pharmacies that meet all the three conditions of "having cold chain qualification and the current number of idle incubators ≥ 1", "the straight-line distance from the hospital does not exceed 3 km", and "having opened the outpatient co-ordination direct payment" are retained, and the rest are automatically excluded. After the filtering, only one candidate pharmacy is left, and the system reads the real-time data of the pharmacy: the driving distance from the patient's delivery address is 1.8 km, the current average out-of-warehouse time is 18 minutes, the delivery on-time rate in the past 30 days is 98%, the patient's evaluation average is 4.8, and the comprehensive distribution score calculated according to the default weight is 0.83, which is the highest for the day. After the patient chooses to deliver the medicine to the hospital, the system gives the estimated arrival time: 18 minutes of out-of-warehouse + 15 minutes of fixed in-hospital handover, a total of 33 minutes. The interface displays in real time that "the medicine will arrive at the hospital in 33 minutes, and the pharmacist will complete the handover in the ward". If the patient tries to switch to home delivery, the system immediately pops up a prompt "due to the inclusion of in-hospital infusion drugs, only delivery to the hospital is supported" and locks the delivery method to prevent misselection. Another patient's prescription contains only ordinary oral drugs and has no special attribute identifier. The first round of filtering does not take effect, and all pharmacies enter the candidate pool. The patient wants the medicine to be delivered directly to home, so the system calculates in the background: for each pharmacy, four real-time data are pulled: the driving distance from the patient's residence, the current average time to be out of warehouse, the delivery on-time rate in the past 30 days, and the patient's evaluation average. Taking one of the pharmacies as an example, the distance is 5 km, the average time to be out of warehouse is 12 minutes, the on-time rate is 97%, the evaluation average is 4.9, and the comprehensive score is 0.85, ranking first. The system further calls the real-time traffic interface to obtain the current road congestion coefficient 1.1, so the estimated arrival time = 12 min (out-of-warehouse) + 0 min (cold chain packaging exempted) + 20 min (logistics in transit) x 1.1 = 34 min. The interface prompts "delivery in about 34 minutes". The patient then temporarily changes the delivery address to the company. The address change triggers the system to recalculate: the distance is shortened to 3 km, and the order of the candidate pharmacies changes. The comprehensive score of the new optimal pharmacy rises to 0.90, and the estimated arrival time is shortened to 29 minutes. The interface is refreshed in real time and prompts "you have been switched to a closer pharmacy. Delivery is expected in 29 minutes in front of the company".

[0023] In summary, through the electronic prescription whole-process circulation management system, on the one hand, patients do not need to queue in the hospital pharmacy and can directly choose nearby pharmacies or have medicines delivered to their homes, thereby relieving the pressure of hospital outpatient service; on the other hand, pharmacies expand their service radius by undertaking prescription orders, improve the efficiency of drug turnover, and the platform can reduce the waste of logistics resources through intelligent matching and path optimization. The system has significant advantages in ensuring drug safety, improving service efficiency, optimizing patient experience, and strengthening regulatory capacity. Embodiments

[0024] On the basis of Embodiment One, an informed consent and electronic signature module is further included for popping up an informed consent form before the patient confirms the order. After the patient reads and confirms the consent, the system calls the CA authentication electronic signature interface to complete the online prescription review by pharmacists and electronic signature. The specific way of completing electronic signature by the informed consent and electronic signature module is as follows: the platform administrator maintains a drug purchase informed consent form template, supports customizing template content according to drug types and special medication scenarios, the patient reads and agrees to the informed consent form before confirming the order, the pharmacist completes the online prescription review and calls the CA authentication agency electronic signature interface to complete digital signature, and the signature result and timestamp are stored in the order record together; An order circulation and state tracking module is used to synchronize the order state to the hospital electronic prescription system, the pharmacy ERP system, and the logistics distribution system in real time after the patient submits the order, supports visualizing the whole-process state tracking, including prescription review, packaging, warehouse out, distribution, receipt, confirmation of receipt, evaluation, and refund, and the specific way of the order circulation and state tracking module to synchronize the order state in real time is as follows: defining the order whole-life cycle state nodes and circulation rules, including waiting for prescription review, passing the prescription review, waiting for payment, having paid, packaging, having left the warehouse, in distribution, having been signed, having been evaluated, and having been refunded, and pushing the order state change reminders to the patient in real time through WeChat public number template messages, small program subscription messages, and short messages; A cold-chain drug temperature control module is used to acquire temperature data in real time through the temperature monitoring interface of the insulation box during the distribution of cold-chain drugs and display the temperature change in the whole period in the form of a curve to ensure the quality and safety of the drugs. The specific way of the cold-chain drug temperature control module to monitor the temperature is as follows: connecting the temperature monitoring equipment of the insulation box through the Internet of Things protocol, collecting temperature data in real time and reporting to the platform, and automatically triggering an alarm to notify the pharmacy and the patient and starting an emergency handling process when the temperature exceeds the drug storage requirement range; The data security and privacy protection module is used for ensuring the safety and compliance of the prescription information, patient information and payment information in the transmission and storage process through multiple means such as SSL digital certificate, data encryption storage, database private network access, operation log recording, permission hierarchical management and signed data confidentiality agreement, and the specific way of protecting data security of the data security and privacy protection module is that in the data display and export process, the sensitive information of patient name, ID number, mobile phone number and address is desensitized to prevent privacy leakage, and the operation logs of all users and administrators are recorded, including login time, operation content, operation result, log query and export are supported, and the supervision audit requirement is met.

[0025] The above only describes the preferred embodiments of the present application and is not used to limit the present application, and any modification, equivalent replacement and improvement made within the spirit and principle of the application should be included in the protection scope of the present application.

Claims

1. A hospital electronic prescription end-to-end management system based on the Internet, characterized in that: include: The prescription information acquisition module is used to acquire patients' electronic prescription information in real time through the hospital's unified push interface and store the prescription information in a local database; The patient identity and authorization management module is used to receive login requests from patients' mobile terminals and complete identity binding and authorization by scanning the QR code of the hospital's official WeChat account or mini-program. It supports the management of multiple patient identities. The prescription validity judgment module is used to automatically identify the prescription status based on the prescription issuance time and mark prescriptions that have not been settled for more than three days as expired. The pharmacy selection and matching module is used to display a list of retail pharmacies that have joined the platform to patients, allowing patients to choose a pharmacy independently and match their prescription drug needs with the pharmacy's real-time inventory. The delivery method management module provides an entry point for selecting three delivery methods: home delivery, hospital delivery, and in-store pickup. It also automatically restricts the available delivery methods based on the drug's attributes: in-hospital infusion drugs can only be delivered to the hospital, and dual-channel and outpatient co-payment drugs can only be paid for offline. The payment management module supports both online and offline payment for patients. Online payments call third-party payment interfaces to complete the transaction, while offline payments generate pending orders and support in-store payment. The informed consent and electronic signature module is used to display an informed consent form before the patient confirms the order. After the patient reads and confirms their consent, the system calls the CA-certified electronic signature interface to complete the pharmacist's online prescription review and electronic signature. The order flow and status tracking module is used to synchronize the order status to the hospital's electronic prescription system, pharmacy ERP system, and logistics and distribution system in real time after the patient submits the order. It supports full-process status visualization and traceability, including prescription review, packaging, warehousing, delivery, receipt, confirmation of receipt, evaluation, and refund. The cold chain medicine temperature control module is used to acquire temperature data in real time through the temperature monitoring interface of the insulated box during the cold chain medicine delivery process, and display the temperature changes over the entire period in the form of a curve. The data security and privacy protection module uses multiple methods, including SSL digital certificates, encrypted data storage, private network access to databases, operation log recording, hierarchical access control, and signing data confidentiality agreements.

2. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The specific method by which the prescription information acquisition module acquires prescription information is as follows: it receives electronic prescription PDFs or image files pushed by the hospital's HIS system through the hospital's unified push interface, parses the patient information, drug name, specifications, quantity, usage and dosage, clinical diagnosis, doctor's signature, and issuance time in the prescription, and maps the parsed prescription information to the platform's standard data model for data verification and deduplication.

3. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The specific method by which the patient identity and authorization management module completes identity binding and authorization is as follows: Patients enter the system through a WeChat mini program or the bottom menu link of the hospital's official account. After scanning the prescription QR code with WeChat, the system automatically obtains the WeChat OpenID and matches and binds the WeChat OpenID with the hospital's main patient index. It supports binding multiple patient information under the same WeChat account, including name, ID number, medical insurance card number, mobile phone number, and default delivery address. It also supports adding, editing, deleting, and defaulting patient information.

4. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The specific method by which the pharmacy selection and matching module matches pharmacies with drug inventory is as follows: The platform operator conducts online verification of the business license, drug business license, and registered pharmacist qualification documents of the pharmacies that join the platform. Only after the verification is passed can the pharmacy receive prescription orders. The pharmacy's inventory data is obtained in real time through the pharmacy ERP system API interface, and the inventory is verified when the patient selects a drug.

5. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The delivery method management module generates delivery plans in the following way: patients maintain multiple delivery address information, including recipient name, mobile phone number, detailed address, and postal code, and can set a default address. Based on drug attributes, pharmacy location, patient address, and delivery method preference, the module automatically calculates the optimal delivery plan and estimated delivery time.

6. The Internet-based hospital electronic prescription end-to-end management system according to claim 5, characterized in that: The optimized delivery plan and the automatic calculation method for the estimated delivery time are as follows: S1. Obtain the attribute identifiers of all medications in this prescription, including: a) Cold chain mark—for medicines requiring transportation at 2℃–8℃; b) In-hospital infusion label—for injectable medications used only within the hospital; c) Dual-channel / Outpatient Co-payment sign—Medications requiring offline medical insurance settlement; S2: Perform the first round of filtering on the set of available pharmacies based on the above attributes: If a cold chain mark exists, only pharmacies with cold chain transportation qualifications and currently available insulated boxes of ≥1 will be retained; If an in-hospital infusion sign exists, only pharmacies located ≤3 km from the hospital in a straight line and supporting delivery to the hospital will be retained; If the dual-channel / outpatient pooling sign exists, only pharmacies that support cardless medical insurance payment or have enabled outpatient pooling direct payment will be retained; S3: Calculate the overall delivery score for the filtered pharmacies. The calculation formula is as follows: Score=w1×(1-d / Dmax)+w2×(1-t / Tmax)+w3×Sservice+w4×Sreputation Where: d represents the driving distance from the pharmacy to the patient's delivery address; Dmax represents the farthest distance in the system on that day; t represents the average processing time for the pharmacy's current pending orders; Tmax represents the longest processing time in the system; Sservice represents the pharmacy's average on-time delivery rate over the past 30 days; Sreputation represents the pharmacy's average patient rating over the past 30 days; w1–w4 are preset weights, with default values ​​of w1=0.4, w2=0.3, w3=0.2, and w4=0.1, which can be dynamically adjusted by the platform operator; S4: Select the pharmacy with the highest score as the target pharmacy, and calculate the estimated delivery time (ETA) according to the following rules: If the patient chooses home delivery: ETA = t outbound + t cold chain packing + t logistics × β, where β is the road condition coefficient, given by real-time traffic data; If the patient chooses delivery to the hospital: ETA = t outbound + t in-hospital handover, where t in-hospital handover is fixed at 15 minutes; If the patient chooses to pick up the medication in-store: ETA = t picking up medication + 10 minutes reserved waiting time; S5: Add the ETA calculated in S4 to the current time to get the estimated delivery time, and display it to the patient along with the target pharmacy information. If the patient manually changes the delivery method or delivery address, then S1–S5 will be executed again.

7. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The specific method for the informed consent and electronic signature module to complete the electronic signature is as follows: the platform administrator maintains the drug purchase informed consent form template, supports custom template content according to drug type and special medication scenarios, the patient reads and agrees to the informed consent form before confirming the order, the pharmacist completes the online prescription review and calls the CA certification authority electronic signature interface to complete the digital signature, and the signature result and timestamp are stored in the order record.

8. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The specific method by which the order flow and status tracking module synchronizes the order status in real time is as follows: Define the order's full lifecycle status nodes and flow rules, including pending review, review passed, pending payment, paid, packing, outbound, delivery, signed for, evaluated, and refunded. Order status change reminders are pushed to patients in real time through WeChat official account template messages, mini-program subscription messages, and SMS.

9. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The specific method by which the cold chain medicine temperature control module monitors the temperature is as follows: it connects to the temperature monitoring equipment of the insulated box through the Internet of Things protocol, collects temperature data in real time and reports it to the platform. When the temperature exceeds the required range for medicine storage, it automatically triggers an alarm to notify the pharmacy and the patient, and initiates the emergency handling process.

10. The Internet-based hospital electronic prescription end-to-end management system according to claim 1, characterized in that: The data security and privacy protection module protects data security in the following ways: during the data display and export process, sensitive information such as patient name, ID number, mobile phone number, and address is anonymized to prevent privacy leakage; all user and administrator operation logs are recorded, including login time, operation content, and operation results; and log query and export are supported.

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