Information digital integration system of edge intelligent mobile hospital
By analyzing the usage of nurses, doctors, and medications, the information digitization integration system of the edge intelligent mobile hospital optimizes resource allocation, solves the problem of insufficient medical resource preparation, and achieves efficient utilization and rational control of resources.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI MAJIE TECH CO LTD XIAN BRANCH
- Filing Date
- 2023-12-12
- Publication Date
- 2026-05-01
AI Technical Summary
When providing medical assistance in remote areas, edge-intelligent mobile hospitals often face challenges such as insufficient medical resources, difficulty in accurately assessing needs, long waiting times for patients, and uneven resource allocation.
Through nurse workstations, doctor workstations, medication management modules, and medical resource scheduling modules, patient care records, vaccination data, bed occupancy, medical treatment information, and drug inventory data are analyzed to calculate nurse, doctor, and drug usage evaluation coefficients for resource scheduling and allocation.
It enables more accurate allocation of medical resources, avoids waste of resources, ensures that patients can quickly access services, reasonably controls costs, predicts future needs, and meets the medical needs of different regions and time periods.
Smart Images
Figure CN121964024A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of mobile application development technology, and more specifically to an information digitization integration system for an edge intelligent mobile hospital. Background Technology
[0002] In the context of edge-based intelligent mobile hospitals, "edge" refers to the concept of edge computing. Edge computing is a distributed computing model that moves computing power and data analysis capabilities from the traditional cloud to places closer to users and data sources, namely edge devices and edge nodes. An information digitization integration system is a system that integrates information from different sources to achieve efficient data management and information exchange. It connects various information sources through the use of computer technology and software applications, and provides a unified interface and workflow, allowing users to easily access, process, and share information.
[0003] Currently, a digital information integration system for edge intelligent mobile hospitals may have the following problems: 1. When providing medical assistance to remote areas, edge intelligent mobile hospitals are prone to insufficient preparation of medical resources. The population and medical needs of remote areas may be difficult to predict accurately. In addition, the limitations of transportation and communication conditions make it difficult for edge intelligent mobile hospitals to accurately assess and prepare sufficient medical resources, resulting in patients not receiving the best quality medical services. Patients may have to wait for treatment for a long time, which may lead to the deterioration of their condition and threats to their lives.
[0004] 2. Currently, most edge intelligent mobile hospitals do not analyze the workload of doctors and nurses, as well as drug resources, in the designated area when treating patients. This lack of sufficient analysis may lead to overuse of medical resources in some edge intelligent mobile hospitals, while medical resources are insufficient in other places, resulting in an imbalance in the medical services received by patients. Summary of the Invention
[0005] The purpose of this invention is to provide an information digitization integration system for edge intelligent mobile hospitals, which solves the problems existing in the background technology.
[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides an information digitization integration system for edge intelligent mobile hospitals, including: a nurse workstation module, used to provide a work interface for nurses in designated edge intelligent mobile hospitals in designated areas, to obtain nurse work content information corresponding to designated edge intelligent mobile hospitals in designated areas from the database, the nurse work content information including the number of patient care records, the number of vaccinations, and the number of beds used, and then calculate the corresponding nurse workload assessment coefficient in the designated edge intelligent mobile hospitals in designated areas, thereby determining whether the number of nurses corresponding to the designated edge intelligent mobile hospitals meets the nursing requirements of the designated areas;
[0007] The doctor workstation module provides a work interface for doctors in designated edge smart mobile hospitals in a specified region. Doctors can conduct diagnosis and treatment work through the work interface and retrieve the corresponding diagnosis and treatment work information for the designated edge smart mobile hospital in the specified region from the database. The diagnosis and treatment work information includes the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be written. Then, the workload assessment coefficient of the corresponding doctor in the designated edge smart mobile hospital in the specified region is calculated, thereby determining whether the number of doctors in the designated edge smart mobile hospital meets the diagnosis and treatment requirements of the specified region.
[0008] The drug management module is used to retrieve drug inventory data for a designated edge smart mobile hospital in a specified region from the database. The drug inventory data includes the inventory quantity of various drugs, the usage quantity of various drugs, and the required purchase quantity of various drugs. Then, the module calculates the drug usage evaluation coefficient for each drug in the designated edge smart mobile hospital in the specified region. Based on this, it determines whether the quantity of each drug in the designated edge smart mobile hospital meets the requirements of the specified region. Drugs that do not meet the requirements of the specified region are recorded as target drugs.
[0009] The medical resource scheduling module is used to analyze and determine the number of nurses, doctors, and medicines required to be scheduled for a designated edge intelligent mobile hospital in a designated area when the number of nurses corresponding to a designated edge intelligent mobile hospital does not meet the nursing requirements of the designated area, the number of doctors does not meet the doctor treatment requirements of the designated area, and the quantity of each medicine does not meet the requirements of the designated area.
[0010] The display terminal is used to provide a prompt when the specific amount of medical resources required by a designated edge smart mobile hospital in a specified region is obtained.
[0011] Preferably, the calculation of the nurse workload assessment coefficient within the designated edge smart mobile hospital in the designated area is as follows: based on the number of patient care records, vaccination volume, and bed occupancy volume corresponding to the designated edge smart mobile hospital in the designated area, the calculation is performed using the formula... The workload assessment coefficient α for nurses in a designated edge smart mobile hospital in a designated region is obtained, where P, B, and C represent the number of patient care records, vaccinations, and bed occupancy in the designated edge smart mobile hospital in the designated region, respectively; P′, B′, and C′ represent the set standard number of patient care records, vaccinations, and bed occupancy, respectively; ΔP, ΔB, and ΔC represent the set allowable difference in the number of patient care records, vaccinations, and bed occupancy, respectively; and η1, η2, and η3 represent the set weighting factors corresponding to the number of patient care records, vaccinations, and bed occupancy, respectively.
[0012] Preferably, the determination process for whether the number of nurses corresponding to the designated edge intelligent mobile hospital meets the nursing requirements of the designated area is as follows: the workload assessment coefficient of the nurses corresponding to the designated edge intelligent mobile hospital in the designated area is compared with the set threshold of the nurse workload assessment coefficient. If the workload assessment coefficient of the nurses corresponding to the designated edge intelligent mobile hospital in the designated area is greater than the set threshold of the nurse workload assessment coefficient, it is determined that the number of nurses corresponding to the designated edge intelligent mobile hospital does not meet the nursing requirements of the designated area. If the workload assessment coefficient of the nurses corresponding to the designated edge intelligent mobile hospital in the designated area is less than or equal to the set threshold of the nurse workload assessment coefficient, it is determined that the number of nurses corresponding to the designated edge intelligent mobile hospital meets the nursing requirements of the designated area.
[0013] Preferably, the calculation obtains the workload assessment coefficient for doctors within a designated edge intelligent mobile hospital in a designated region. The specific calculation process is as follows: Substitute the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be issued corresponding to the designated edge intelligent mobile hospital in the designated region into the calculation formula. The workload assessment coefficient β for doctors in a designated edge smart mobile hospital in a designated region is obtained. Here, A, E, and D represent the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be issued in the designated edge smart mobile hospital in the designated region, respectively. A′, E′, and D′ are the set standard number of patient medical records to be viewed, the standard number of patients to be examined, and the standard number of prescriptions to be issued, respectively. ΔA, ΔE, and ΔD are the set allowable difference in the number of patient medical records to be viewed, the allowable difference in the number of patients to be examined, and the allowable difference in the number of prescriptions to be issued, respectively. ι1, ι2, and ι3 are the set weight factors corresponding to the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be issued, respectively.
[0014] Preferably, the specific determination process for whether the number of doctors corresponding to the designated edge intelligent mobile hospital meets the medical treatment requirements of the designated area is as follows: the workload assessment coefficient of the doctors corresponding to the designated edge intelligent mobile hospital in the designated area is compared with the set threshold of the doctor workload assessment coefficient. If the workload assessment coefficient of the doctors corresponding to the designated edge intelligent mobile hospital in the designated area is greater than the set threshold of the doctor workload assessment coefficient, then it is determined that the number of doctors corresponding to the designated edge intelligent mobile hospital meets the medical treatment requirements of the designated area. If the workload assessment coefficient of the doctors corresponding to the designated edge intelligent mobile hospital in the designated area is less than or equal to the set threshold of the doctor workload assessment coefficient, then it is determined that the number of doctors corresponding to the designated edge intelligent mobile hospital meets the medical treatment requirements of the designated area.
[0015] Preferably, the calculation of the drug usage evaluation coefficient for each drug in a designated edge smart mobile hospital in a designated region is performed as follows: The inventory quantity, usage quantity, and required procurement quantity of each drug in the designated edge smart mobile hospital in the designated region are substituted into the calculation formula. Obtain the drug usage evaluation coefficient δ for each drug in a designated edge smart mobile hospital in a specified region. i Let i be the corresponding number of each drug, i = 1, 2, ..., n, where n is any integer greater than 2, and X i Y i Z i X represents the inventory quantity, usage quantity, and required procurement quantity of the i-th type of medicine in a designated edge smart mobile hospital in a specified region, respectively. i ′、Y i ′、Z i ′ represents the standard inventory quantity, standard usage quantity, and standard required purchase quantity of the i-th drug corresponding to the designated edge smart mobile hospital in the designated region, respectively. ΔX, ΔY, and ΔZ represent the set permitted inventory quantity difference, permitted usage quantity difference, and permitted required purchase quantity difference, respectively. κ1, κ2, and κ3 represent the set weight factors corresponding to the inventory quantity, usage quantity, and required purchase quantity, respectively.
[0016] Preferably, the specific determination process for whether each drug corresponding to a designated edge intelligent mobile hospital meets the drug requirements of a designated region is as follows: The drug usage evaluation coefficient of each drug corresponding to the designated edge intelligent mobile hospital in the designated region is compared with a set threshold for the drug usage evaluation coefficient. If the drug usage evaluation coefficient of a certain drug corresponding to the designated edge intelligent mobile hospital in the designated region is greater than the set threshold, then the drug corresponding to the designated edge intelligent mobile hospital is determined not to meet the drug requirements of the designated region. If the drug usage evaluation coefficient of a certain drug corresponding to the designated edge intelligent mobile hospital in the designated region is less than or equal to the set threshold, then the drug corresponding to the designated edge intelligent mobile hospital is determined to meet the drug requirements of the designated region. This process is used to determine whether each drug meets the drug requirements of the designated region.
[0017] Preferably, the medical resource scheduling for the designated edge intelligent mobile hospital in the designated area is carried out as follows: when the number of nurses corresponding to the designated edge intelligent mobile hospital does not meet the nursing requirements of the designated area, the number of doctors does not meet the doctor treatment requirements of the designated area, and the quantity of each target drug does not meet the quantity requirements of each drug of the designated area, the total number of nurses, doctors, and each target drug required by the designated edge intelligent mobile hospital in the designated area is estimated by the information digital integration system based on the nurse workload assessment coefficient, doctor workload assessment coefficient, and drug usage assessment coefficient of the designated edge intelligent mobile hospital in the designated area, and by statistically analyzing the number of patients and the quantity of drugs required by patients.
[0018] The estimated total number of nurses, doctors, and target drugs required for the designated edge intelligent mobile hospital in the specified region is calculated by subtracting the existing number of nurses, doctors, and target drugs in the designated edge intelligent mobile hospital in the specified region. This yields the number of nurses, doctors, and target drugs that need to be dispatched to the designated edge intelligent mobile hospital in the specified region.
[0019] Preferably, the database is used to obtain the number of patient care records, vaccinations, bed occupancy, patient medical records, number of patients requiring examination, number of prescriptions, inventory of various drugs, usage of various drugs, and procurement of various drugs corresponding to a designated edge smart mobile hospital in a designated region.
[0020] The beneficial effects of this invention are as follows: 1. The information digitization integration system for edge intelligent mobile hospitals provided by this invention analyzes the number of patient care records, vaccinations, bed occupancy, number of patient medical records to be viewed, number of patients to be examined, number of prescriptions issued, inventory of various drugs, usage of various drugs, and procurement of various drugs in a designated edge intelligent mobile hospital in a designated region. This allows for the calculation of nurse workload assessment coefficients, doctor workload assessment coefficients, and drug usage assessment coefficients within the designated edge intelligent mobile hospital. This enables a more accurate assessment of the workload of medical staff and drug usage, thereby optimizing the allocation and distribution of medical resources and improving resource utilization efficiency. By assessing the workload of nurses and doctors and drug usage, mobile hospitals can more accurately control costs, avoid resource waste, and achieve reasonable cost control.
[0021] 2. This invention, through its embodiments, utilizes the corresponding nurse workload assessment coefficients, doctor workload assessment coefficients, and drug usage assessment coefficients within a designated edge intelligent mobile hospital in a specified region to enable timely scheduling and allocation of medical resources in that region. This allows patients to receive the necessary treatment more quickly. By recording and storing these coefficients and analyzing historical data, future medical resource demands can be predicted more accurately, allowing for more rational resource allocation and scheduling. This ensures that the edge intelligent mobile hospital can meet medical service needs in different regions and time periods, avoiding situations of insufficient medical resource preparation. Attached Figure Description
[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0023] Figure 1 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation
[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0025] Please see Figure 1 As shown, the present invention provides an information digitization integration system for an edge intelligent mobile hospital, the method comprising: a nurse workstation module, a doctor workstation module, a drug management module, a medical resource scheduling module, and a display terminal.
[0026] The nurse workstation module is connected to the doctor workstation module and the database, the doctor workstation module is connected to the drug management module and the database, the drug management module is connected to the medical resource scheduling module and the database, and the medical resource scheduling module is connected to the display terminal.
[0027] The nurse workstation module provides a work interface for nurses in designated edge smart mobile hospitals in a specified region. It retrieves the nurses' work content information corresponding to the designated edge smart mobile hospitals in the specified region from the database. The nurses' work content information includes the number of patient care records, the number of vaccinations, and the number of beds used. Then, it calculates the corresponding nurses' workload assessment coefficient in the designated edge smart mobile hospitals in the specified region, thereby determining whether the number of nurses in the designated edge smart mobile hospitals meets the nursing requirements of the specified region.
[0028] It should be noted that the information on nurses' work content obtained includes the average number of patient care records, average number of vaccinations, and average number of beds used in each historical year in the designated region. The number of patient care records refers to the statistical count of the number of care records made by the hospital for each patient, including nursing interventions, medication administration, vital sign monitoring, and nursing assessments. These records help medical staff understand changes in patients' conditions, thereby providing more precise nursing services. The number of vaccinations reflects the hospital's work in preventing infectious diseases and is also an important indicator for assessing community immunization levels and the effectiveness of vaccination programs. The number of beds used reflects the utilization of medical resources and the hospital's service load.
[0029] In a specific embodiment, the calculation of the nurse workload assessment coefficient within a designated edge smart mobile hospital in a designated region is performed as follows: based on the number of patient care records, vaccination volume, and bed occupancy at the designated edge smart mobile hospital in the designated region, the calculation is performed using the formula... The workload assessment coefficient α for nurses in a designated edge smart mobile hospital in a designated region is obtained, where P, B, and C represent the number of patient care records, vaccinations, and bed occupancy in the designated edge smart mobile hospital in the designated region, respectively; P′, B′, and C′ represent the set standard number of patient care records, vaccinations, and bed occupancy, respectively; ΔP, ΔB, and ΔC represent the set allowable difference in the number of patient care records, vaccinations, and bed occupancy, respectively; and η1, η2, and η3 represent the set weighting factors corresponding to the number of patient care records, vaccinations, and bed occupancy, respectively.
[0030] It should be noted that the values of η1, η2, and η3 are all greater than 0 and less than 1.
[0031] In a specific embodiment, the determination process for whether the number of nurses corresponding to a designated edge smart mobile hospital meets the nursing care requirements of a designated region is as follows: The workload assessment coefficient of the nurses corresponding to the designated edge smart mobile hospital in the designated region is compared with a set threshold for the nurse workload assessment coefficient. If the workload assessment coefficient of the nurses corresponding to the designated edge smart mobile hospital in the designated region is greater than the set threshold for the nurse workload assessment coefficient, it is determined that the number of nurses corresponding to the designated edge smart mobile hospital does not meet the nursing care requirements of the designated region. If the workload assessment coefficient of the nurses corresponding to the designated edge smart mobile hospital in the designated region is less than or equal to the set threshold for the nurse workload assessment coefficient, it is determined that the number of nurses corresponding to the designated edge smart mobile hospital meets the nursing care requirements of the designated region.
[0032] The doctor workstation module provides a work interface for doctors in designated edge smart mobile hospitals in a specified region. Doctors conduct diagnosis and treatment work through the work interface, and retrieve the corresponding diagnosis and treatment work information for the designated edge smart mobile hospital in the specified region from the database. The diagnosis and treatment work information includes the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be written. Then, the workload assessment coefficient of the corresponding doctor in the designated edge smart mobile hospital in the specified region is calculated, thereby determining whether the number of doctors in the designated edge smart mobile hospital meets the diagnosis and treatment requirements of the specified region.
[0033] It should be noted that the obtained medical information refers to the average number of patient medical records reviewed, the average number of patients requiring examination, and the average number of prescriptions issued in each historical year in the specified region. During diagnosis and treatment, doctors need to carefully analyze patients' medical history, symptoms, and examination results to develop appropriate treatment plans. The number of patient medical records directly reflects the number of cases and workload that doctors need to handle within a certain period. During diagnosis and treatment, doctors need to conduct necessary examinations based on the patient's symptoms and disease condition to accurately determine the disease and develop a treatment plan. Based on the patient's diagnosis and treatment needs, doctors prescribe corresponding medications. The number of prescriptions issued reflects the number of medication prescriptions that doctors need to process.
[0034] In a specific embodiment, the calculation of the workload assessment coefficient for doctors within a designated edge smart mobile hospital in a designated region is performed as follows: The number of patient medical records to be reviewed, the number of patients to be examined, and the number of prescriptions to be issued corresponding to the designated edge smart mobile hospital in the designated region are substituted into the calculation formula. The workload assessment coefficient β for doctors in a designated edge smart mobile hospital in a designated region is obtained. Here, A, E, and D represent the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be issued in the designated edge smart mobile hospital in the designated region, respectively. A′, E′, and D′ are the set standard number of patient medical records to be viewed, the standard number of patients to be examined, and the standard number of prescriptions to be issued, respectively. ΔA, ΔE, and ΔD are the set allowable difference in the number of patient medical records to be viewed, the allowable difference in the number of patients to be examined, and the allowable difference in the number of prescriptions to be issued, respectively. ι1, ι2, and ι3 are the set weight factors corresponding to the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be issued, respectively.
[0035] It should be noted that the values of ι1, ι2, and ι3 are all greater than 0 and less than 1.
[0036] In a specific embodiment, the determination of whether the number of doctors corresponding to the designated edge intelligent mobile hospital meets the medical treatment requirements of the designated area is carried out as follows: The workload assessment coefficient of the doctors corresponding to the designated edge intelligent mobile hospital in the designated area is compared with the set threshold of the doctor workload assessment coefficient. If the workload assessment coefficient of the doctors corresponding to the designated edge intelligent mobile hospital in the designated area is greater than the set threshold of the doctor workload assessment coefficient, it is determined that the number of doctors corresponding to the designated edge intelligent mobile hospital meets the medical treatment requirements of the designated area. If the workload assessment coefficient of the doctors corresponding to the designated edge intelligent mobile hospital in the designated area is less than or equal to the set threshold of the doctor workload assessment coefficient, it is determined that the number of doctors corresponding to the designated edge intelligent mobile hospital meets the medical treatment requirements of the designated area.
[0037] The drug management module is used to retrieve drug inventory data for a designated edge smart mobile hospital in a specified region from the database. The drug inventory data includes the inventory quantity of various drugs, the usage quantity of various drugs, and the required procurement quantity of various drugs. Then, the module calculates the drug usage evaluation coefficient for each drug in the designated edge smart mobile hospital in the specified region. Based on this, it determines whether the quantity of each drug in the designated edge smart mobile hospital meets the required quantity of each drug in the specified region, and records each drug that does not meet the required quantity of each drug in the specified region as a target drug.
[0038] It should be noted that the obtained drug inventory data includes the average inventory quantity, average usage quantity, and average procurement quantity of various drugs for each historical year in the specified region. The inventory quantity refers to the current stock of all drugs in the hospital, i.e., the current inventory quantity of each drug in the hospital. The usage quantity refers to the quantity of various drugs actually used by the hospital within a certain period of time, including statistics on the drug prescriptions actually issued to patients. The procurement quantity refers to the quantity of various drugs that the hospital needs to replenish or procure to meet the needs within a certain period of time in the future. This is an estimate based on the hospital's needs and drug usage.
[0039] In one specific embodiment, the calculation of the drug usage evaluation coefficient for each drug corresponding to a designated edge smart mobile hospital in a designated region is carried out as follows: The inventory quantity, usage quantity, and required procurement quantity of each drug corresponding to the designated edge smart mobile hospital in the designated region are substituted into the calculation formula. Obtain the drug usage evaluation coefficient δ for each drug in a designated edge smart mobile hospital in a specified region. i Let i be the corresponding number of each drug, i = 1, 2, ..., n, where n is any integer greater than 2, and X i Y i Z i X represents the inventory quantity, usage quantity, and required procurement quantity of the i-th type of medicine in a designated edge smart mobile hospital in a specified region, respectively. i ′、Y i ′、Z i ′ represents the standard inventory quantity, standard usage quantity, and standard required purchase quantity of the i-th drug corresponding to the designated edge smart mobile hospital in the designated region, respectively. ΔX, ΔY, and ΔZ represent the set permitted inventory quantity difference, permitted usage quantity difference, and permitted required purchase quantity difference, respectively. κ1, κ2, and κ3 represent the set weight factors corresponding to the inventory quantity, usage quantity, and required purchase quantity, respectively.
[0040] It should be noted that the values of κ1, κ2, and κ3 are all greater than 0 and less than 1.
[0041] In a specific embodiment, the determination process for whether each drug corresponding to a designated edge intelligent mobile hospital meets the drug requirements of a designated region is as follows: The drug usage evaluation coefficient of each drug corresponding to the designated edge intelligent mobile hospital in the designated region is compared with a set threshold for the drug usage evaluation coefficient. If the drug usage evaluation coefficient of a certain drug corresponding to the designated edge intelligent mobile hospital in the designated region is greater than the set threshold, then the drug corresponding to the designated edge intelligent mobile hospital is determined not to meet the drug requirements of the designated region. If the drug usage evaluation coefficient of a certain drug corresponding to the designated edge intelligent mobile hospital in the designated region is less than or equal to the set threshold, then the drug corresponding to the designated edge intelligent mobile hospital is determined to meet the drug requirements of the designated region. This process is used to determine whether each drug meets the drug requirements of the designated region.
[0042] The medical resource scheduling module is used to analyze and determine the required number of nurses, doctors, and medicines for a designated edge intelligent mobile hospital when the number of nurses corresponding to a designated edge intelligent mobile hospital does not meet the nursing requirements of a designated area, the number of doctors does not meet the diagnostic requirements of a designated area, and the quantity of each medicine does not meet the requirements of a designated area.
[0043] In a specific embodiment, the medical resource scheduling for a designated edge smart mobile hospital in a designated area is carried out as follows: When the number of nurses corresponding to the designated edge smart mobile hospital does not meet the nursing requirements of the designated area, the number of doctors does not meet the doctor treatment requirements of the designated area, and the quantity of each target drug does not meet the quantity requirements of each drug of the designated area, the total number of nurses, doctors, and each target drug required for the designated edge smart mobile hospital in the designated area is estimated by using the nurse workload assessment coefficient, doctor workload assessment coefficient, and drug usage assessment coefficient corresponding to the designated edge smart mobile hospital in the designated area, and by statistically analyzing the number of patients and the quantity of drugs required by patients, and then by using the information digital integration system.
[0044] The estimated total number of nurses, doctors, and target drugs required for the designated edge intelligent mobile hospital in the specified region is calculated by subtracting the existing number of nurses, doctors, and target drugs in the designated edge intelligent mobile hospital in the specified region. This yields the number of nurses, doctors, and target drugs that need to be dispatched to the designated edge intelligent mobile hospital in the specified region.
[0045] It should be noted that the nurse workload assessment coefficient, doctor workload assessment coefficient, and drug use assessment coefficient obtained from the designated edge intelligent mobile hospital will be analyzed and integrated through the information digitization integration system, and the analyzed and integrated data will be stored in the corresponding database of the edge intelligent mobile hospital.
[0046] This invention, through its embodiments, utilizes the corresponding nurse workload assessment coefficients, doctor workload assessment coefficients, and drug usage assessment coefficients within a designated edge intelligent mobile hospital in a specified region. This enables timely scheduling and allocation of medical resources for that region, allowing patients to receive the necessary treatment more quickly. By recording and storing these coefficients and analyzing historical data, future medical resource demands can be predicted more accurately, allowing for more rational resource allocation and scheduling. This ensures that the edge intelligent mobile hospital can meet medical service needs in different regions and time periods, avoiding situations of insufficient medical resource preparation.
[0047] The display terminal is used to provide a prompt when the specific amount of medical resources required by a designated edge smart mobile hospital in a specified region is obtained.
[0048] It should be noted that the information digitization integration system corresponding to the designated edge intelligent mobile hospital displays the specific amount of medical resources required by the designated edge intelligent mobile hospital in the designated area through the terminal interface, so that medical staff can intuitively obtain information and help them make resource scheduling and allocation decisions.
[0049] The database is used to obtain the number of patient care records, vaccinations, bed occupancy, patient medical records, patients requiring examinations, prescriptions, inventory of various drugs, usage of various drugs, and procurement of various drugs for a designated edge smart mobile hospital in a specified region.
[0050] This invention provides an information digitization integration system for edge intelligent mobile hospitals. By analyzing the number of patient care records, vaccinations, bed occupancy, number of patient medical records to be viewed, number of patients to be examined, number of prescriptions issued, inventory of various drugs, usage of various drugs, and procurement of various drugs in a designated edge intelligent mobile hospital in a specified region, the system calculates the corresponding workload assessment coefficients for nurses, doctors, and drug usage assessment coefficients within the designated edge intelligent mobile hospital. This allows for a more accurate assessment of the workload of medical staff and drug usage, thereby optimizing the allocation and deployment of medical resources, improving resource utilization efficiency, and enabling mobile hospitals to more accurately control costs, avoid resource waste, and achieve reasonable cost control by assessing the workload of nurses and doctors and drug usage.
[0051] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.
Claims
1. An information digitization integration system for an edge intelligent mobile hospital, characterized in that, include: The nurse workstation module is used to provide a work interface for nurses in designated edge smart mobile hospitals in designated areas. It retrieves the nurses' work content information corresponding to the designated edge smart mobile hospitals in designated areas from the database. The nurses' work content information includes the number of patient care records, the number of vaccinations, and the number of beds used. Then, it calculates the corresponding nurses' workload assessment coefficient in the designated edge smart mobile hospitals in designated areas, thereby determining whether the number of nurses in the designated edge smart mobile hospitals meets the nursing requirements of the designated areas. The doctor workstation module provides a work interface for doctors in designated edge smart mobile hospitals in a specified region. Doctors can conduct diagnosis and treatment work through the work interface and retrieve the corresponding diagnosis and treatment work information for the designated edge smart mobile hospital in the specified region from the database. The diagnosis and treatment work information includes the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be written. Then, the workload assessment coefficient of the corresponding doctor in the designated edge smart mobile hospital in the specified region is calculated, thereby determining whether the number of doctors in the designated edge smart mobile hospital meets the diagnosis and treatment requirements of the specified region. The drug management module is used to retrieve drug inventory data for a designated edge smart mobile hospital in a specified region from the database. The drug inventory data includes the inventory quantity of various drugs, the usage quantity of various drugs, and the required purchase quantity of various drugs. Then, the module calculates the drug usage evaluation coefficient for each drug in the designated edge smart mobile hospital in the specified region. Based on this, it determines whether the quantity of each drug in the designated edge smart mobile hospital meets the requirements of the specified region. Drugs that do not meet the requirements of the specified region are recorded as target drugs. The medical resource scheduling module is used to analyze and determine the number of nurses, doctors, and medicines required to be scheduled for a designated edge intelligent mobile hospital in a designated area when the number of nurses corresponding to a designated edge intelligent mobile hospital does not meet the nursing requirements of the designated area, the number of doctors does not meet the doctor treatment requirements of the designated area, and the quantity of each medicine does not meet the requirements of the designated area. The display terminal is used to provide a prompt when the specific amount of medical resources required by a designated edge smart mobile hospital in a specified region is obtained.
2. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, The calculation yields the nurse workload assessment coefficient within a designated edge smart mobile hospital in a specified region. The specific calculation process is as follows: Based on the number of patient care records, vaccination volume, and bed occupancy at designated edge smart mobile hospitals in a specified region, a calculation formula is used. Obtain the corresponding nurse workload assessment coefficient within the designated edge intelligent mobile hospital in the specified region. ,in , , These represent the number of patient care records, vaccinations, and bed occupancy rates corresponding to a designated edge smart mobile hospital in a specified region. , , These are the set standard number of patient care records, standard number of vaccinations, and standard number of hospital beds used. , , These are the differences in the number of permitted patient care records, the number of permitted vaccinations, and the number of permitted hospital bed occupancy, respectively. , , These are the weighting factors corresponding to the number of patient care records, the number of vaccinations, and the number of hospital beds used, respectively.
3. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, The specific determination process for whether the number of nurses corresponding to the designated edge intelligent mobile hospital meets the nursing requirements of the designated area is as follows: The workload assessment coefficient of nurses in a designated edge smart mobile hospital in a designated area is compared with the set threshold for the workload assessment coefficient of nurses. If the workload assessment coefficient of nurses in a designated edge smart mobile hospital in a designated area is greater than the set threshold for the workload assessment coefficient of nurses, it is determined that the number of nurses in the designated edge smart mobile hospital does not meet the nursing requirements of the designated area. If the workload assessment coefficient of nurses in a designated edge smart mobile hospital in a designated area is less than or equal to the set threshold for the workload assessment coefficient of nurses, it is determined that the number of nurses in the designated edge smart mobile hospital meets the nursing requirements of the designated area.
4. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, The calculation yields the corresponding physician workload assessment coefficient within a designated edge smart mobile hospital in a specified region. The specific calculation process is as follows: Substitute the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be issued for the designated edge smart mobile hospital in the specified region into the calculation formula. Obtain the workload assessment coefficient for doctors within a designated edge smart mobile hospital in a specified region. ,in , , These represent the number of patient medical records to be viewed, the number of patients to be examined, and the number of prescriptions to be issued for a designated edge smart mobile hospital in a specified region. , , These are the set standards for the number of patient medical records to be reviewed, the number of patients to be examined, and the number of prescriptions to be written. , , These are the differences in the number of patient medical records that can be viewed, the number of patients that can be examined, and the number of prescriptions that can be issued, respectively. , , These are the weighting factors corresponding to the number of patient medical records that need to be viewed, the number of patients that need to be examined, and the number of prescriptions that need to be issued.
5. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, The specific process for determining whether the number of doctors corresponding to a designated edge intelligent mobile hospital meets the doctor treatment requirements of a designated area is as follows: The workload assessment coefficient of doctors in a designated edge smart mobile hospital in a designated area is compared with a set threshold for the doctor workload assessment coefficient. If the workload assessment coefficient of doctors in a designated edge smart mobile hospital in a designated area is greater than the set threshold for the doctor workload assessment coefficient, it is determined that the number of doctors in the designated edge smart mobile hospital meets the doctor treatment requirements of the designated area. If the workload assessment coefficient of doctors in a designated edge smart mobile hospital in a designated area is less than or equal to the set threshold for the doctor workload assessment coefficient, it is determined that the number of doctors in the designated edge smart mobile hospital meets the doctor treatment requirements of the designated area.
6. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, The calculation yields the drug usage evaluation coefficient for each drug in a designated edge smart mobile hospital within a specified region. The specific calculation process is as follows: Substitute the inventory quantity, usage quantity, and required procurement quantity of each medicine corresponding to the designated edge smart mobile hospital in the specified region into the calculation formula. The drug usage evaluation coefficients for each drug in a designated edge smart mobile hospital in a specified region are obtained. , For each type of medicine, there is a corresponding number. , greater than any integer, where , , The specified regions and edge intelligent mobile hospitals correspond to the first one. The inventory quantity, usage quantity, and required procurement quantity of each type of medicine. , , The designated edge smart mobile hospital in the specified area corresponds to the first Standard inventory quantity, standard usage quantity, and standard required procurement quantity for each type of medicine. , , These are the set differences in permitted inventory quantity, permitted usage quantity, and permitted purchase quantity. , , These are the weighting factors corresponding to the set inventory quantity, the weighting factor corresponding to the usage quantity, and the weighting factor corresponding to the quantity to be purchased.
7. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, The specific determination process for whether the medicines corresponding to the designated edge intelligent mobile hospital meet the requirements of the designated region is as follows: The drug usage evaluation coefficient for each drug in a designated edge smart mobile hospital in a specified region is compared with the set threshold for drug usage evaluation coefficients for each drug. If the drug usage evaluation coefficient for a drug in a designated edge smart mobile hospital in a specified region is greater than the set threshold for drug usage evaluation coefficients for that drug, then the drug in that designated edge smart mobile hospital is determined not to meet the requirements for that drug in the specified region. If the drug usage evaluation coefficient for a drug in a designated edge smart mobile hospital in a specified region is less than or equal to the set threshold for drug usage evaluation coefficients for that drug, then the drug in that designated edge smart mobile hospital is determined to meet the requirements for that drug in the specified region. This is how the determination of whether each drug meets the requirements for each drug in the specified region is made.
8. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, The specific scheduling process for medical resources at a designated edge intelligent mobile hospital in a specified region is as follows: When the number of nurses corresponding to a designated edge intelligent mobile hospital does not meet the nursing requirements of the designated area, the number of doctors does not meet the medical requirements of the designated area, and the quantity of each target drug does not meet the requirements of the designated area, the total number of nurses, doctors, and each target drug required for the designated edge intelligent mobile hospital in the designated area is estimated by using the nurse workload assessment coefficient, doctor workload assessment coefficient, and drug usage assessment coefficient corresponding to the designated edge intelligent mobile hospital in the designated area, and by statistically analyzing the number of patients and the quantity of drugs required by patients, through the information digital integration system. The estimated total number of nurses, doctors, and target drugs required for the designated edge intelligent mobile hospital in the specified region is calculated by subtracting the existing number of nurses, doctors, and target drugs in the designated edge intelligent mobile hospital in the specified region. This yields the number of nurses, doctors, and target drugs that need to be dispatched to the designated edge intelligent mobile hospital in the specified region.
9. The information digitization integration system for an edge intelligent mobile hospital according to claim 1, characterized in that, It also includes a database, which is used to obtain the number of patient care records, vaccinations, bed occupancy, patient medical records, number of patients requiring examination, number of prescriptions, inventory of various drugs, usage of various drugs, and procurement of various drugs corresponding to a designated edge smart mobile hospital in a designated region.