Full-process intelligent scheduling and safety management method for patients in daytime chemotherapy center of medical oncology

Abstract

The invention relates to the technical field of medical informatization and intelligent management, in particular to a medical oncology daytime chemotherapy center patient whole-process intelligent scheduling and safety management method which comprises the steps of admission sign-in and dynamic scheduling, nursing task intelligent decomposition and pushing, drug flow and patient flow double-closed-loop safety checking and infusion process intelligent monitoring and early warning. The admission sign-in and dynamic scheduling specifically comprises the steps that after the patient actually arrives at sign-in, the system dynamically adjusts and locks an optimal execution path according to the real-time resource occupation condition, generates a personal exclusive all-day electronic treatment navigation timeline for the patient, pushes the timeline to a patient mobile terminal and updates the timeline in real time. According to the technical scheme provided by the invention, full-process and multi-resource collaborative optimization and closed-loop safety management of daytime chemotherapy patients are realized, the running efficiency of a daytime chemotherapy center can be remarkably improved, the medical error risk is reduced, the medical experience of the patients is improved, and data support is provided for fine management and continuous improvement.

Description

Technical Field

[0001] This invention relates to the field of medical information technology and intelligent management technology, specifically to a method for intelligent scheduling and safety management of patients throughout the entire process in a day chemotherapy center for oncology. Background Technology

[0002] Healthcare informatization is a systematic project that uses computer science and modern network communication technology to digitize and network healthcare services. As an international development trend, it has covered hospital information management systems, clinical information management systems, and public health informatization. Its core architecture includes functions such as patient information management and medical data exchange.

[0003] Day chemotherapy has become an important treatment method in oncology, characterized by patients receiving treatment during the day and returning home in the evening, thus making efficient use of medical resources. However, the management of day chemotherapy centers currently faces the following pain points: patient appointments, seat allocation, chemotherapy pump management, and nursing task assignments mainly rely on manual experience, resulting in disconnect between various links, long waiting times for patients, and uneven resource utilization; patients and their families cannot know the current treatment progress, subsequent steps, and estimated waiting time in real time, which can easily lead to anxiety and repeated inquiries, increasing the communication burden on nurses. Summary of the Invention

[0004] The purpose of this invention is to address the problems of low efficiency and lack of transparency in the current management of day chemotherapy centers, and to provide a method for intelligent scheduling and safety management of the entire process of patients in oncology day chemotherapy centers. This method enables intelligent optimization scheduling of the patient treatment process and closed-loop safety management of the entire chain, thereby improving operational efficiency and medical safety.

[0005] To achieve the above objectives, this invention provides a method for intelligent scheduling and safety management of the entire process of patients in a day chemotherapy center for oncology. The method includes admission check-in and dynamic scheduling, intelligent decomposition and push of nursing tasks, dual closed-loop safety verification of drug flow and patient flow, and intelligent monitoring and early warning of the infusion process. Specifically, after the patient actually arrives and checks in, the system dynamically adjusts and locks the optimal execution path based on real-time resource occupancy, generates a personalized all-day electronic treatment navigation timeline for the patient, and pushes it to the patient's mobile terminal for real-time updates.

[0006] Preferably, before admission check-in and dynamic scheduling, patients can book their chemotherapy day via mobile terminal or in-hospital system. Based on the patient's chemotherapy plan, personal preferences, historical data and the center's real-time resource status, the system recommends the optimal check-in time window for each patient and simultaneously generates a virtual patient-seat-time occupancy pre-schedule.

[0007] Preferably, the pre-scheduling adopts a multi-objective constraint optimization algorithm, and the optimization objectives include minimizing the total patient waiting time, maximizing resource utilization, and balancing nurses' workload.

[0008] Preferably, the intelligent decomposition and push of nursing tasks specifically involves the system decomposing medical orders into standardized structured nursing task nodes, and based on task priority, required skills, nurse location and current workload, pushing the tasks to the responsible nurse's mobile nursing terminal in real time and accurately, and confirming execution.

[0009] Preferably, the standardized structured nursing task nodes include verifying identity and medical orders, establishing intravenous access, preparing medications, administering medications, making rounds, changing dressings, and removing needles.

[0010] Preferably, the dual closed-loop security verification of drug flow and patient flow specifically involves the system triggering multiple electronic verifications at each critical treatment node. Execution can only proceed if all verifications are successful; otherwise, the system will lock and trigger an alarm.

[0011] Preferably, the dual closed-loop security verification of drug flow and patient flow includes at least the verification of drug binding with medical orders before medication dispensing and the matching and verification of five-dimensional information of patient, drug, nurse, time, and location before bedside medication administration.

[0012] Preferably, the intelligent monitoring and early warning of the infusion process is specifically implemented by equipping each chemotherapy pump or infusion device with an Internet of Things monitoring module, which transmits information such as flow rate, remaining volume, and blockage alarms to the central system in real time. The system compares the actual infusion progress with the preset timeline, and automatically issues an early warning and prompts the nurse to intervene when a significant delay occurs. At the same time, the system integrates the patient's vital signs monitoring data and presets the thresholds for common adverse reactions to chemotherapy to achieve early intelligent early warning.

[0013] Preferably, the system also includes pushing a discharge assessment checklist to the nurse's terminal before the end of treatment, guiding the completion of the assessment, and after confirming that the patient can be discharged, the system generates discharge instructions for the patient and generates a follow-up plan based on the treatment plan, and pushes it through the mobile terminal.

[0014] Compared with existing technologies, the technical solution provided by this invention achieves full-process, multi-resource collaborative optimization and closed-loop safety management of day chemotherapy patients through admission check-in and dynamic scheduling, intelligent decomposition and push of nursing tasks, dual closed-loop safety verification of drug flow and patient flow, and intelligent monitoring and early warning of infusion process. This significantly improves the operational efficiency of day chemotherapy centers, reduces the risk of medical errors, improves the patient's medical experience, and provides data support for refined management and continuous improvement. It realizes intelligent optimization scheduling and full-chain safety closed-loop management of patient treatment process, thereby improving operational efficiency and medical safety. Detailed Implementation

[0015] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable structural methods and implementations without altering the essential spirit of the invention. Therefore, the following specific embodiments are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0016] As a specific implementation of the intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology provided by the present invention, it includes intelligent scheduling of appointments and pre-treatment: patients make appointments for chemotherapy days through patient mobile terminals or in-hospital systems. The system, based on the patient's chemotherapy regimen (such as drugs, order, estimated duration), personal preferences, historical data, and the real-time resource status of the center (such as nurse manpower, number of seats, and availability of chemotherapy pumps), uses a multi-objective constraint optimization algorithm. The optimization objectives include minimizing the total waiting time of patients, maximizing resource utilization, and balancing the workload of nurses. It recommends the optimal check-in time window for each patient and simultaneously generates a virtual patient-seat-time occupancy pre-schedule.

[0017] Hospital check-in and dynamic scheduling: After the patient actually arrives and checks in, the system combines real-time resource occupancy (such as actual seat occupancy, nurse's current workload, and medication preparation progress) to dynamically adjust and lock the best execution path, generate a personalized all-day electronic treatment navigation timeline for the patient, and push it to the patient's mobile terminal for real-time updates.

[0018] Intelligent decomposition and push of nursing tasks: The system automatically decomposes medical orders into standardized structured nursing task nodes (such as verifying identity and medical orders, establishing intravenous access, configuring drug A, infusing drug A, rounds, changing dressings, and removing needles). Based on task priority, required skills, nurse location and current workload, the system pushes tasks to the responsible nurse's mobile nursing terminal in real time and accurately through a task queue management algorithm, and confirms execution.

[0019] Dual closed-loop safety verification of drug and patient flow: At each critical treatment node, the system triggers multiple electronic verifications. Before medication dispensing, the pharmacy scans the drug barcode and binds it to the electronic medical order. The system verifies the consistency between the drug and the current batch of patient orders. Before bedside administration, nurses use mobile nursing terminals to scan the patient's wristband, drug barcode, and their own name tag. The system performs a five-dimensional information matching of patient, drug, nurse, time, and seat. Only if all matching is successful can the procedure be executed. If the matching fails, the system locks and alarms. Through dual-flow tracking and electronic multi-verification of drug and patient flow, a robust safety barrier is built throughout the dispensing, transportation, and administration of medication, greatly reducing the risk of medication errors.

[0020] Intelligent monitoring and early warning of infusion process: An IoT monitoring module is installed on each chemotherapy pump or infusion device to transmit information such as flow rate, remaining volume, and blockage alarm to the central system in real time. The system compares the actual infusion progress with the preset timeline. When a significant delay occurs, it automatically issues an early warning and prompts the nurse to intervene. At the same time, the system integrates the patient's vital signs monitoring data and presets the thresholds for common adverse reactions to chemotherapy (such as allergies and fever) to achieve early intelligent early warning.

[0021] Discharge Assessment and Intelligent Follow-up: Before the end of treatment, the system pushes the discharge assessment list to the mobile nursing terminal to guide the completion of the assessment. After confirming that the patient can be discharged, the system generates personalized discharge instructions for the patient (including next appointment reminder and precautions), and automatically triggers subsequent follow-up plans (such as blood routine reminder in three days and symptom follow-up questionnaire in one week) according to the treatment plan, which are pushed to the patient's mobile terminal through the mobile nursing terminal.

[0022] This invention unifies the modeling and scheduling of resources such as patients, medications, nurses, and equipment, achieving optimal global resource allocation from appointment to discharge. This significantly reduces unnecessary patient waiting time, improves center throughput and operational efficiency, provides patients with visualized real-time treatment navigation to reduce anxiety, and provides nurses with clear and orderly task guidance to reduce working memory load and improve job satisfaction. In addition, the entire process data is automatically collected and analyzed, forming a data closed loop of scheduling-execution-monitoring, providing managers with data support for optimizing scheduling, process reengineering, and quality control. It should also be noted that data is shared between various modules such as patient mobile terminals, mobile nursing terminals, and IoT monitoring modules.

[0023] Take a patient using the FOLFOX regimen as an example: Patients can make an appointment two days in advance through their mobile devices. Based on their treatment plan (which takes about 6 hours) and available resources for the following day, the system recommends that they check in between 9:00 and 9:30 a.m.

[0024] The patient checked in at 9:20. The system detected that seat number 1 in section A was about to become available. Nurse Z had a light workload, so the resource was allocated and the patient navigation was updated: The infusion is expected to start at 9:40. Please wait in seat number 1 in section A.

[0025] After the patient is seated, the system will push the task of verifying the doctor's orders and identity and establishing the infusion access to nurse Z's mobile nursing terminal, which nurse Z will complete and confirm.

[0026] The pharmacy prepares oxaliplatin and other medications, scans the barcodes to bind the patient, and after the medication is delivered, nurse Z scans all the barcodes on the patient's wristband, the medication bag, and her own name tag in sequence before administering the medication. The system verifies all the information and issues a confirmation tone.

[0027] The infusion began, and the IoT monitoring module started monitoring. The system estimated that oxaliplatin would need to be infused for 2 hours. At 1 hour and 50 minutes, the system detected an abnormally slowed flow rate and automatically sent a warning to the nurse station and nurse Z's mobile nursing terminal that the infusion at seat A1 might be blocked and to be checked.

[0028] When the system predicts through its algorithm that a patient's infusion will be delayed by 30 minutes, it not only updates the navigation timeline but also sends instructions to the pharmacy system to delay configuring the next set of medications, sends delay reminders to affected subsequent patients, and recommends a filling task to nurses who will soon be available.

[0029] After the infusion is completed, the nurse completes the discharge assessment, the system sends a notification to the patient to keep their hands and feet warm and to have a blood routine test done in 3 days, and automatically sends a reminder to the patient to have a blood routine test done in 3 days.

[0030] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A method for intelligent scheduling and safety management of patients throughout the entire process in a day chemotherapy center for oncology, characterized in that: It includes admission check-in and dynamic scheduling, intelligent decomposition and push of nursing tasks, dual closed-loop safety verification of drug flow and patient flow, and intelligent monitoring and early warning of infusion process. Specifically, after the patient actually arrives and checks in, the system combines real-time resource occupancy to dynamically adjust and lock the best execution path, generate a personalized all-day electronic treatment navigation timeline for the patient, and push it to the patient's mobile terminal for real-time updates.

2. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology, as described in claim 1, is characterized in that: Before admission check-in and dynamic scheduling, patients can book their chemotherapy day via mobile terminal or in-hospital system. Based on the patient's chemotherapy plan, personal preferences, historical data and the center's real-time resource status, the system recommends the optimal check-in time window for each patient and simultaneously generates a virtual patient-seat-time occupancy pre-schedule.

3. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology, as described in claim 2, is characterized in that: The pre-scheduling uses a multi-objective constrained optimization algorithm, with optimization objectives including minimizing total patient waiting time, maximizing resource utilization, and balancing nurses' workload.

4. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology, as described in claim 1, is characterized in that: The intelligent decomposition and push of nursing tasks involves the system breaking down medical orders into standardized, structured nursing task nodes. Based on task priority, required skills, nurse location, and current workload, the system pushes the tasks to the responsible nurse's mobile nursing terminal in real time and accurately, and then confirms their execution.

5. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology, as described in claim 4, is characterized in that: Standardized structured nursing task nodes include verifying identity and medical orders, establishing intravenous access, preparing medications, administering medications, making rounds, changing dressings, and removing needles.

6. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology as described in claim 1, characterized in that: The dual closed-loop security check for drug flow and patient flow involves triggering multiple electronic checks at each critical treatment node. Execution is only possible if all checks are successful; otherwise, the system is locked and an alarm is triggered.

7. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology, as described in claim 6, is characterized in that: The dual closed-loop security verification of drug flow and patient flow includes at least the verification of drug and doctor's order binding before medication dispensing, and the matching and verification of five-dimensional information of patient, drug, nurse, time and location before bedside medication administration.

8. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology as described in claim 1, characterized in that: The intelligent monitoring and early warning system for the infusion process involves equipping each chemotherapy pump or infusion device with an Internet of Things (IoT) monitoring module. This module transmits information such as flow rate, remaining volume, and blockage alarms to the central system in real time. The system compares the actual infusion progress with a preset timeline. If a significant delay occurs, the system automatically issues an early warning and prompts the nurse to intervene. At the same time, the system integrates patient vital sign monitoring data and presets thresholds for common adverse reactions to chemotherapy, enabling early intelligent early warning.

9. The intelligent scheduling and safety management method for the entire process of patients in a day chemotherapy center for oncology according to any one of claims 1-8, characterized in that: It also includes pushing a discharge assessment checklist to the nurse's terminal before the end of treatment, guiding the completion of the assessment, and after confirming that the patient can be discharged, the system generates discharge instructions for the patient and generates a follow-up plan based on the treatment plan, which is then pushed to the mobile terminal.