Doctor-patient cloud platform interactive system based on mobile Internet

Abstract

The invention discloses a doctor-patient cloud platform interaction system based on mobile Internet, which specifically relates to the field of data processing interaction, and is used to solve the problems of insufficient beds, crowded queues, and difficulty in seeing a doctor in an occupational disease hospital. The invention comprises an information statistics module, a data processing module, a state analysis module, and a message publishing module. The information statistics module collects multi-source data and performs preprocessing. The data processing module performs normalization processing on the data and calculates a potential index. The state analysis module analyzes the potential index and adjusts the ratio of acute and critical beds in the hospital. When the ratio of acute and critical beds exceeds a threshold limit of the hospital, the system issues an early warning prompt, and the message publishing module pushes the hospital bed status to the user. In the early warning state, the system enters a forced diversion mode, and according to the occupational disease patient information, the patient is assigned to the nearest community health service center for preliminary diagnosis. The invention can reasonably allocate bed resources and improve the diagnosis efficiency of the occupational disease hospital.

Description

Technical Field

[0001] The present invention relates to the field of data processing interaction, and more specifically, to a doctor-patient cloud platform interaction system based on mobile Internet. Background Art

[0002] The self-service terminals in hospitals can assist users in operations such as registration, payment, and report extraction. They can divert and guide patients to different entrances and operate in parallel, which can effectively improve the hospital's operating efficiency.

[0003] Although self-service terminals have been set up, the medical service model for patients before, during and after hospitalization has not changed fundamentally. By building a mobile Internet hospital cloud platform, we can open up information channels for instant communication between doctors and patients, break the limitations of airspace and time, and enable patients to interact with the hospital anytime and anywhere through mobile terminals such as mobile phones.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] The purpose of the present invention is to provide a medical-patient cloud platform interaction system based on mobile Internet to solve the deficiencies in the background technology.

[0006] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a mobile Internet-based doctor-patient cloud platform interaction system, comprising an information statistics module, a data processing module, a status analysis module, and a message publishing module;

[0007] The information statistics module is used to collect multi-source data, including individual information of secondary industry practitioners and secondary industry status information. The individual information of secondary industry practitioners includes basic medical insurance information, employment type, work environment characteristics, medical history, and geographical location. The secondary industry status information includes electricity consumption, churn rate, and supply chain index.

[0008] The data processing module is used to normalize the collected multi-source data and calculate the multi-source data through formulas to obtain the potential index;

[0009] The status analysis module is used to analyze the potential index and adjust the ratio of acute and critical beds in the hospital based on the periodic potential index difference. When the ratio of acute and critical beds exceeds the hospital threshold limit, the system issues an early warning prompt.

[0010] The message publishing module is used to push the status of hospital beds to system users. When the system issues an early warning, it enters the forced diversion mode and assigns system users to the nearest community health service center for preliminary diagnosis based on the collected individual information of secondary industry practitioners.

[0011] In a preferred embodiment, the operation logic of the potential index is:

[0012] The power consumption Eo, loss rate Ur, and supply chain index Lp are normalized and the potential index Pc is established after removing the unit. The formula is: ;

[0013] Where α1, α2, and α3 are the proportional coefficients of electricity consumption Eo, supply chain index Lp, and churn rate Ur, respectively, and α1, α2, and α3 are all greater than 0.

[0014] In a preferred embodiment, a method for adjusting the ratio of acute and critical care beds within a hospital by a potential index;

[0015] The number of critical care beds set for this cycle is , the number of emergency and critical care beds set in the previous cycle is , the potential index for this cycle is , the potential index of the previous cycle is , the potential index threshold is , then the formula is , where λ1 is The proportionality coefficient, λ2 is , and λ1 and λ2 are greater than 0, and n is a positive integer greater than or equal to 2.

[0016] In a preferred embodiment, the role of the message publishing module in the doctor-patient interaction system;

[0017] The critical bed setting variables are released through the doctor-patient interaction platform system. When the number of critical bed settings exceeds the hospital management standard threshold, the interaction platform system will issue a bed warning, and non-emergency patients will enter the compulsory diversion mode. The doctor-patient interaction system will assign the nearest community health service center for preliminary diagnosis based on the collected patient geographic location information.

[0018] In a preferred embodiment, the acquisition logic of power consumption Eo, loss rate Ur, and supply chain index Lp;

[0019] Among the n industries to which the secondary industry belongs, n industries are selected based on the concentration CRn. Among the n industries, the n enterprises with the largest number of employees in each industry are selected based on the concentration CRn, and the data of the potential index is collected based on CRn.

[0020] Based on the collected CRn enterprise electricity data, calculate the average electricity consumption of n enterprises, then calculate the average of n industries based on the enterprise average, and calculate the total electricity consumption of the secondary industry according to different categories, which is the electricity consumption Eo indicator;

[0021] In the region, the inventory turnover rate It, transit time T, and reverse logistics rate Rl of n supply chain enterprises are collected according to the CRn standard. The formula is: ;

[0022] In the formula, β1, β2, and β3 are the proportional coefficients of inventory turnover rate It, transit time T, and reverse logistics rate Rl, respectively, and β1, β2, and β3 are all greater than 0;

[0023] The overall turnover rate of n companies is collected based on the concentration CRn, which is the turnover rate Ur.

[0024] In a preferred embodiment, the concentration CRn is selected;

[0025] Concentration The value of concentration is determined according to the specific conditions of the secondary industry in the region and is set by professional and technical personnel in this field based on the gross industrial output value.

[0026] In a preferred embodiment, the acquisition logic of inventory turnover rate It, transit time T, and reverse logistics rate Rl;

[0027] The inventory turnover rate is collected from the operating conditions of the supply chain enterprises with the selected concentration. Inventory turnover rate = sales cost / average inventory, where average inventory = beginning inventory + ending inventory / 2, transit time is the average of the one-way consumption time of the supply, and reverse logistics rate is the return rate.

[0028] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0029] The present invention collects personal information of secondary industry practitioners, establishes a database of potential occupational disease patients, collects data on the secondary industry's electricity consumption, turnover rate, and supply chain index to construct a potential index, and uses the potential index as a reference to adjust the proportion of emergency and critical beds in occupational disease hospitals. When the proportion of emergency and critical beds exceeds a threshold, the hospital is forced to enter a diversion diagnosis mode, and the community health service center coordinates with the occupational disease hospital for auxiliary diagnosis and treatment.

[0030] The present invention also builds a communication channel between occupational disease patients and medical staff, takes "prevention takes precedence over treatment" as the principle, provides self-protection medical popularization for potential occupational disease patients, greatly reduces the cost of doctor-patient communication, and improves the hospital's diagnosis efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0032] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] Example 1: Figure 1 As shown, the present invention is a doctor-patient cloud platform interaction system based on mobile Internet, and the interaction system includes an information statistics module, a data processing module, a status analysis module, and a message interaction module;

[0035] The information statistics module collects multi-source data on potential occupational disease patients, and registers the personal information of practitioners in industries with high incidence of occupational diseases, such as mining, manufacturing, and construction, to establish a potential patient database, including basic medical insurance information, employment type, work environment characteristics, medical history, and geographic location. It also collects industry status information including electricity consumption, churn rate, and supply chain index.

[0036] The data processing module performs mathematical processing on the information collected by the information statistics module and calculates the potential index of occupational diseases through a formula.

[0037] The status analysis module adjusts the proportion of emergency and critical care beds based on the calculated occupational disease potential index.

[0038] The message release module establishes a cloud platform interaction link, coordinates with the community health center to divert patients, shares information with patients through the doctor-patient interaction platform based on the adjustment of emergency and critical care beds, and discloses bed information status.

[0039] Occupational diseases have emerged on a large scale with the rapid development of social production and manufacturing levels. Taking occupational disease prevention and control as an example, the present invention constructs a doctor-patient interaction system. One of the characteristics of occupational diseases is that prevention takes precedence over treatment. According to this logic, a cloud platform interaction system is constructed between occupational disease prevention and control hospitals and occupational disease patients.

[0040] Occupational diseases can be divided into latent period and clinical period according to the stage of development. There are basically no symptoms in the latent period, and patients cannot judge from external symptoms whether they have been damaged by harmful factors in the working environment. This stage can only focus on prevention and protection, and strictly abide by the work environment protection regulations to protect their own health and extend their working years. For patients in the latent period, the doctor-patient interaction system publishes popular science courses on occupational health self-protection, regularly produces popular medicine, and communicates with patients in an easy-to-understand and acceptable form, which can greatly reduce the cost of doctor-patient communication when seeking medical treatment, and is also beneficial to maintaining the long-term physical condition of patients in the latent period and delaying the onset of illness.

[0041] Symptoms appear in the clinical stage, and the symptoms have disease characteristics consistent with harmful factors in the work environment, that is, the symptoms are consistent with the characteristics of the work environment. At this stage, patients will consider going to the hospital for diagnosis and treatment, but due to the patient's work habits and environmental restrictions, treatment can only alleviate the symptoms caused by the occupational work environment. It is difficult to completely solve the lesions, and the existing damage caused to the patient by the harmful environment is basically irreversible. Seeking medical treatment at this stage has actually missed the best stage to maintain health.

[0042] According to the development characteristics of occupational diseases, the doctor-patient interaction platform system constructed by the present invention is divided into two stages, the first stage is prevention, and the second stage is treatment.

[0043] For the prevention stage, it is necessary to collect individual information of secondary industry practitioners, including basic medical insurance information, employment type, work environment characteristics, medical history, and geographical location. At the same time, status information of the secondary industry should be collected, including electricity consumption, churn rate, and supply chain index.

[0044] Secondary industry practitioners are potential occupational disease subjects. Collecting individual information of potential occupational disease subjects and storing and calling it through the cloud platform can assist medical personnel in making diagnostic judgments on potential occupational disease subjects. Calibrate the collected secondary industry status information, normalize the power consumption Eo, loss rate Ur, and supply chain index Lp, and establish the potential index Pc after removing the unit. The formula is: ;

[0045] Where α1, α2, and α3 are the proportional coefficients of electricity consumption Eo, supply chain index Lp, and churn rate Ur, respectively, and α1, α2, and α3 are all greater than 0.

[0046] By collecting electricity consumption, loss rate and supply chain index and normalizing them, removing the units from each data and processing them comprehensively, it helps to improve data processing efficiency.

[0047] The potential index Pc has a threshold value Pc0. When the potential index reaches the threshold value, the number of practitioners in the secondary industry reaches saturation.

[0048] The above electricity consumption Eo, loss rate Ur, and supply chain index Lp are all concentrated industry enterprise data. According to the various sub-industries of the secondary industry in the national economic industry classification, the concentration index is selected and calculated. According to the different levels of the region, the n industries with the largest number of employees in the sub-categories of the secondary industry in this region are selected as the statistical standards. The secondary industry refers to the four categories B, C, D, and E shown in the national standard national economic industry classification GB / T 4754-2017, namely mining, manufacturing, electricity, heat, gas and water production and supply, and construction.

[0049] In n industries, n companies with the largest number of employees are selected in each industry according to the concentration CRn, and data on the potential index are collected based on CRn.

[0050] Based on the collected CRn enterprise electricity data, the average electricity consumption of n enterprises is calculated, and then the average of n industries is calculated based on the enterprise average. The total electricity consumption of the secondary industry is calculated according to the above four major categories of B, C, D, and E, which is the electricity consumption indicator Eo.

[0051] The supply chain index Lp is calculated based on the data collected from the category G transportation, warehousing and postal industry shown in the national standard national economic industry classification GB / T 4754-2017. The inventory turnover rate It, in-transit time T, and reverse logistics rate Rl of n supply chain enterprises in the region are collected according to the CRn standard. The formula is: ;

[0052] In the formula, β1, β2, and β3 are the proportional coefficients of inventory turnover rate It, in-transit time T, and reverse logistics rate Rl, respectively, and β1, β2, and β3 are all greater than 0.

[0053] The inventory turnover rate is collected from the operating conditions of the supply chain enterprises with the selected concentration. Inventory turnover rate = sales cost / average inventory, where average inventory = beginning inventory + ending inventory / 2, transit time is the average of the one-way consumption time of the supply, and reverse logistics rate is the return rate.

[0054] The turnover rate Ur is the overall turnover rate of CRn enterprises in the secondary industry, including active resignation and passive resignation. If the turnover rate is high, the development of the enterprise or industry will be more unstable, the prospects will be bleak, progress will be limited, practitioners will leave, and new labor force will wait and see. The higher the turnover rate Ur, the lower the potential index.

[0055] Using the concentration CRn as the standard to compile statistics of various secondary industry data can greatly reduce statistical complexity, improve statistical accuracy, and effectively solve the problems of the secondary industry sector's statistics being too broad, the projects involved being too complicated, and the objects involved being too complex. It is only necessary to investigate and collect some targets according to the requirements of the determined concentration. The resulting statistical data is both representative and can accurately reflect the development status of the secondary industry.

[0056] This embodiment constructs a potential index based on electricity consumption, supply chain index, and churn rate. The larger the potential index is, the more developed the secondary industry is and the more practitioners there are. As the potential index increases, the absolute number of acute and severe occupational disease patients increases. The inpatient departments of occupational disease hospitals have limited beds and queues are tight. Using the potential index as a reference indicator, the proportion of acute and severe beds in occupational disease hospitals is adjusted, so that effective communication with patients can be carried out in a timely manner through the doctor-patient interaction platform, thereby reducing the cost of doctor-patient communication and improving the management efficiency of occupational disease hospitals.

[0057] Example 2: Determine the number of critical care beds in occupational disease hospitals based on the calculated potential index, taking the number of critical care beds in this period as , the number of emergency and critical care beds set in the previous cycle is , the potential index for this cycle is , the potential index of the previous cycle is , the potential index threshold is , then the formula is , where λ1 is The proportionality coefficient, λ2 is , and λ1 and λ2 are greater than 0, and n is a positive integer greater than or equal to 2. In this embodiment, λ1 and λ2 are configured by professional and technical personnel in this field according to specific circumstances.

[0058] is the ratio of the potential coefficient of this period to the potential coefficient threshold, is the ratio of potential coefficients of adjacent periods, when When the potential index reaches the threshold, the occupational disease hospital issues an early warning. , then the potential coefficient increases periodically, according to and The weighted summation result can be used to obtain the ratio of the number of emergency and critical care beds in adjacent periods, that is, According to the known number of emergency and critical care beds in the previous cycle, The number of emergency and critical care beds in this cycle can be calculated as .

[0059] The number of critical beds is released through the doctor-patient interaction platform system. When the potential index reaches the threshold, the interactive platform system issues a bed warning, and non-emergency patients enter the mandatory diversion mode. The doctor-patient interaction system assigns the nearest community health service center for preliminary diagnosis based on the collected patient geographic location information. For patients in the incubation period, the doctor-patient interaction system will push occupational disease prevention and protection lectures through the cloud platform, and provide various forms of medical popularization for secondary industry practitioners. The lectures are released in a form that meets the requirements of the mobile Internet platform, including video, pictures, text, and voice.

[0060] This embodiment takes the weighted sum of the ratio of potential indexes of adjacent periods and the ratio of potential index to threshold value, derives the ratio of emergency and critical bed settings in adjacent periods, calculates the number of emergency and critical bed settings in the current period, reallocates bed resources of occupational disease hospitals, makes reasonable arrangements, maintains efficient application of bed indicators, and informs bed status through the doctor-patient interaction system, enabling quick and simple information exchange with patients.

[0061] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0062] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of computer program goods. The computer program goods include one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.

[0063] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0064] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0065] In the several embodiments provided in the present application, it should be understood that the disclosed system can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0066] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0067] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0068] If the functions are implemented in the form of software functional units and sold or used as independent goods, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of software goods, which are stored in a storage medium and include several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., and other media that can store program codes.

[0069] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. The doctor-patient cloud platform interactive system based on mobile Internet is characterized by: Including information statistics module, data processing module, status analysis module, and message publishing module; The information statistics module is used to collect multi-source data, including individual information of secondary industry practitioners and secondary industry status information. The individual information of secondary industry practitioners includes basic medical insurance information, employment type, work environment characteristics, medical history, and geographical location. The secondary industry status information includes electricity consumption, churn rate, and supply chain index. The data processing module is used to normalize the collected multi-source data and calculate the multi-source data through formulas to obtain the potential index; The status analysis module is used to analyze the potential index and adjust the ratio of acute and critical beds in the hospital based on the periodic potential index difference. When the ratio of acute and critical beds exceeds the hospital threshold limit, the system issues an early warning prompt. The message publishing module is used to push the hospital bed status to system users. When the system issues an early warning, it enters the forced diversion mode and assigns system users to the nearest community health service center for preliminary diagnosis based on the collected individual information of secondary industry practitioners. The operation logic of the potential index is: The power consumption Eo, loss rate Ur, and supply chain index Lp are normalized and the potential index Pc is established after removing the unit. The formula is: ; In the formula, α1, α2, and α3 are the proportional coefficients of electricity consumption Eo, supply chain index Lp, and loss rate Ur, respectively, and α1, α2, and α3 are all greater than 0; Method to adjust the ratio of acute and critical care beds within hospitals by potential index; The number of critical care beds set for this cycle is , the number of emergency and critical care beds set in the previous cycle is , the potential index for this cycle is , the potential index of the previous cycle is , the potential index threshold is , then the formula is , where λ1 is The proportionality coefficient, λ2 is , and λ1 and λ2 are greater than 0, and n is a positive integer greater than or equal to 2.

2. The mobile Internet-based doctor-patient cloud platform interactive system according to claim 1 is characterized by: The role of the message publishing module in the doctor-patient interaction system; The critical bed setting variables are released through the doctor-patient interaction platform system. When the number of critical bed settings exceeds the hospital management standard threshold, the interaction platform system will issue a bed warning, and non-emergency patients will enter the compulsory diversion mode. The doctor-patient interaction system will assign the nearest community health service center for preliminary diagnosis based on the collected patient geographic location information.

3. The mobile Internet-based doctor-patient cloud platform interactive system according to claim 1 is characterized by: The logic of obtaining electricity consumption Eo, loss rate Ur, and supply chain index Lp; Among the n industries to which the secondary industry belongs, n industries are selected based on the concentration CRn. Among the n industries, the n enterprises with the largest number of employees in each industry are selected based on the concentration CRn, and the data of the potential index is collected based on CRn. Based on the collected CRn enterprise electricity data, calculate the average electricity consumption of n enterprises, then calculate the average of n industries based on the enterprise average, and calculate the total electricity consumption of the secondary industry according to different categories, which is the electricity consumption Eo indicator; In the region, the inventory turnover rate It, transit time T, and reverse logistics rate Rl of n supply chain enterprises are collected according to the CRn standard. The formula is: ; In the formula, β1, β2, and β3 are the proportional coefficients of inventory turnover rate It, transit time T, and reverse logistics rate Rl, respectively, and β1, β2, and β3 are all greater than 0; The overall turnover rate of n companies is collected based on the concentration CRn, which is the turnover rate Ur.

4. The mobile Internet-based doctor-patient cloud platform interactive system according to claim 3 is characterized by: Selection of the concentration CRn; Concentration The value of concentration is determined according to the specific conditions of the secondary industry in the region and is set by professional and technical personnel in this field based on the gross industrial output value.

5. The mobile Internet-based doctor-patient cloud platform interactive system according to claim 3 is characterized by: The logic of obtaining inventory turnover rate It, transit time T, and reverse logistics rate Rl; The inventory turnover rate is collected from the operating conditions of the supply chain enterprises with the selected concentration. Inventory turnover rate = sales cost / average inventory, where average inventory = beginning inventory + ending inventory / 2, transit time is the average of the one-way consumption time of the supply, and reverse logistics rate is the return rate.

Images