CN110931113A - Hospital management operation system and method based on Internet cloud platform - Google Patents
Hospital management operation system and method based on Internet cloud platform Download PDFInfo
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Abstract
The invention discloses a hospital management operation system and method based on an internet cloud platform, a computer storage medium and computing equipment, which can improve the efficiency of hospital management operation, stimulate the operation work of a hospital management company and effectively guarantee the development of the hospital management company. Wherein hospital management operation system based on internet cloud platform includes: the information input module is suitable for collecting initial information of input workers, wherein the initial information comprises basic information and/or business related information; the staff rating module is suitable for rating the staff by utilizing a pre-constructed classification rating target model based on the initial information to obtain a rating result of the staff; and the management operation unit is suitable for carrying out corresponding operation management operation according to the rating result.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a hospital management operation system and method based on an internet cloud platform, a computer storage medium and computing equipment.
Background
At present, a hospital management company is generally held by a sponsor, the hospital management company provides services such as market publicity, operation management, consultation and the like, and a managed hospital pays a corresponding service fee to the hospital management company. In the equity structure part, managed payers distribute equity according to the allocation proportion and do not use a management system, so that the management and operation efficiency is low and the flexibility is low, and the problem needs to be solved urgently.
Disclosure of Invention
In view of the above, the invention provides a hospital management operation system and method, a computer storage medium and a computing device based on an internet cloud platform, which can improve the efficiency of hospital management operation, stimulate the operation work of a hospital management company, and effectively guarantee the development of the hospital management company.
According to an aspect of the embodiments of the present invention, there is provided an internet cloud platform-based hospital management operation system, including:
the information input module is suitable for collecting initial information of input workers, wherein the initial information comprises basic information and/or business related information;
the staff rating module is suitable for rating the staff by utilizing a pre-constructed classification rating target model based on the initial information to obtain a rating result of the staff;
and the management operation unit is suitable for carrying out corresponding operation management operation according to the rating result.
Optionally, the system further comprises a building module adapted to:
collecting worker data, and processing the collected worker data to obtain a worker sample data set;
constructing a classification and rating initial model;
selecting training set data from the employee sample data set, and training the classification rating initial model by using the training set data to obtain a trained classification rating model;
and selecting test set data from the employee sample data set, evaluating the trained classification rating model by using the test set data, and determining whether to optimize and adjust the trained classification rating model according to an evaluation result so as to obtain a classification rating target model.
Optionally, the building module is further adapted to:
and training the classification and rating initial model by using the training set data and adopting a preset machine learning algorithm to obtain a trained classification and rating model.
Optionally, the employee rating module is further adapted to:
processing the initial information according to the employee sample data set to obtain processed data;
and inputting the processed data into the classification and rating target model, and taking the obtained output as a rating result of the employee.
Optionally, if the employee is a member of an expert team or a hospital core, the employee rating module is further adapted to:
extracting hospital-related data from the initial information;
inputting the hospital related data into a pre-constructed hospital assessment model, and outputting to obtain the grade score of the hospital;
and grading the employees by utilizing a pre-constructed classification grading target model based on the initial information and the grade scores of the hospitals to obtain grading results of the employees.
Optionally, the management operation unit comprises a payroll management module adapted to:
and determining the salary value of the employee according to the rating result and a first set rule.
Optionally, the management operation unit further includes a payroll payment module, and the payroll payment module is adapted to: and determining the share number value of the employee according to the rating result, the wage number value and a second set rule.
Optionally, the management operation unit further includes a reddening management module, and the reddening management module is adapted to: acquiring a profit value of a specified duration; and determining the red score value of the employee according to the share value and the profit value.
Optionally, the management operation unit further comprises a data analysis module, the data analysis module being further adapted to: and analyzing the wage value, the share value and the dividend value by adopting a preset statistical model to generate a worker portrait.
Optionally, the information entry module is further adapted to: and reading information in the radio frequency tag of the employee so as to acquire initial information input into the employee.
According to another aspect of the embodiments of the present invention, there is also provided a hospital management operation method based on an internet cloud platform, including:
acquiring initial information input into a worker, wherein the initial information comprises basic information and/or business related information;
based on the initial information, rating the employees by using a pre-constructed classification rating target model to obtain rating results of the employees;
and carrying out corresponding operation management operation according to the rating result.
Optionally, the classification rating target model is constructed by:
collecting worker data, and processing the collected worker data to obtain a worker sample data set;
constructing a classification and rating initial model;
selecting training set data from the employee sample data set, and training the classification rating initial model by using the training set data to obtain a trained classification rating model;
and selecting test set data from the employee sample data set, evaluating the trained classification rating model by using the test set data, and determining whether to optimize and adjust the trained classification rating model according to an evaluation result so as to obtain a classification rating target model.
Optionally, training the classification rating initial model by using the training set data to obtain a trained classification rating model, including:
and training the classification and rating initial model by using the training set data and adopting a preset machine learning algorithm to obtain a trained classification and rating model.
Optionally, based on the initial information, ranking the employee by using a pre-constructed classification ranking target model to obtain a ranking result of the employee, where the ranking result includes:
processing the initial information according to the employee sample data set to obtain processed data;
and inputting the processed data into the classification and rating target model, and taking the obtained output as a rating result of the employee.
Optionally, if the employee is a member of an expert team or a core member of the hospital, based on the initial information, ranking the employee by using a pre-established classification ranking target model to obtain a ranking result of the employee, including:
extracting hospital-related data from the initial information;
inputting the hospital related data into a pre-constructed hospital assessment model, and outputting to obtain the grade score of the hospital;
and grading the employees by utilizing a pre-constructed classification grading target model based on the initial information and the grade scores of the hospitals to obtain grading results of the employees.
Optionally, performing a corresponding operation management operation according to the rating result, including:
and determining the salary value of the employee according to the rating result and a first set rule.
Optionally, performing a corresponding operation management operation according to the rating result, including:
and determining the share number value of the employee according to the rating result, the wage number value and a second set rule.
Optionally, performing a corresponding operation management operation according to the rating result, including:
acquiring a profit value of a specified duration;
and determining the red score value of the employee according to the share value and the profit value.
Optionally, performing a corresponding operation management operation according to the rating result, including:
and analyzing the wage value, the share value and the dividend value by adopting a preset statistical model to generate a worker portrait.
Optionally, the collecting initial information of the entry employee includes:
and reading information in the radio frequency tag of the employee so as to acquire initial information input into the employee.
According to yet another aspect of the embodiments of the present invention, there is also provided a computer storage medium storing computer program code, which when run on a computing device, causes the computing device to execute any one of the above-mentioned hospital management operation methods based on an internet cloud platform.
According to still another aspect of the embodiments of the present invention, there is also provided a computing device including: a processor; a memory storing computer program code; the computer program code, when executed by the processor, causes the computing device to perform any of the above-described internet cloud platform based hospital management operating methods.
By means of the technical scheme, the hospital management operation system based on the internet cloud platform can collect and input initial information of workers, based on the initial information, the workers are graded by the aid of the pre-constructed classification grading target model to obtain grading results of the workers, corresponding operation management operation is carried out according to the grading results, hospital management operation efficiency can be improved, and operation work of hospital management companies is achieved and stimulated. Meanwhile, the system can also supervise and reserve high-quality expert team resources, improve the medical service level and the benign competitiveness, and ensure the benefit of experts while stabilizing and increasing the expert resources. In addition, the development and the benefits of the hospital management company can be effectively guaranteed.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a hospital management operation system based on an internet cloud platform according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a hospital management operation system based on an internet cloud platform according to another embodiment of the present invention;
FIG. 3 is a schematic diagram of a hospital administration company according to an embodiment of the present invention;
fig. 4 is a flowchart of a hospital management operation method based on an internet cloud platform according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
In order to solve the technical problem, the embodiment of the invention provides a hospital management operation system based on an internet cloud platform. Fig. 1 is a schematic structural diagram of a hospital management operation system based on an internet cloud platform according to an embodiment of the present invention. As shown in fig. 1, the internet cloud platform based hospital management operation system may include an information entry module 110, an employee rating module 120, and a management operation unit 130, and specifically, functions of each part and connection relationships among each part of the internet cloud platform based hospital management operation system are as follows:
the information input module 110 is suitable for collecting initial information of input employees, wherein the initial information comprises basic information and/or business related information;
the employee rating module 120 is coupled with the information input module 110 and is suitable for rating the employees by utilizing a pre-constructed classification rating target model based on the initial information to obtain rating results of the employees;
and the management operation unit 130 is coupled with the employee rating module 120 and is adapted to perform corresponding operation management operations according to the rating result.
The initial information mentioned above may include basic information, and specifically, may be information such as name, age, image, and the like of the employee, which is not limited in this embodiment of the present invention.
Further, business related information can be input in a targeted manner based on the types of employees, such as business department members, expert team members or hospital core members.
Taking members of a business department as an example, the entered business related information can be business types (such as products, markets, functions and training), the quantity of products put into key departments, the times and duration of online training of the products, the times and duration of online guidance of the markets, the times and duration of online guidance of the functions of the key departments, and the like.
Taking the member of the expert team as an example, the entered relevant information of the business can be a academic calendar, a title (such as a main task and an auxiliary main task), whether a professor or an auxiliary professor exists, whether a doctor guides a doctor, clinical experience, the patient type adept, the number of patients treated and the rehabilitation condition, whether a subject takes the lead, whether to participate in the national subject research, the number of medical errors, whether to be a physicist or a radiotherapy technician, the influence of the professor, a graduate college, a past-time hospital and a department, whether to participate in an international match and a score, the time of entry, the working age, the number of operations, the number of days of work, the influence promotion condition brought to the department, the number of medical disputes, the patient evaluation and the like.
Taking a hospital core member as an example, the entered business related information can be a academic calendar, a title, a scale score of the hospital, revenue of the hospital, the age of the core member, the number of managed hospitals, the number of people in a management team, the operation guidance times and duration, the number of potential departments developed, the online monthly growth rate of potential department patients, the number of marketing strategy schemes formulated and the like.
If the staff is a member of the expert team or a core member of the hospital, the staff can further include relevant data of the hospital, such as the occupation area of the hospital, the hospital grade, the geographical position of the hospital, the number of beds of the hospital, the outpatient quantity of the hospital, the number of inpatients, the number of departments of the hospital, the number of clinical departments, the number of medical departments, the number of basic research departments, the number of key departments of the hospital, the number of experts of the hospital, the number of doctors of the hospital, the number of nurses of the hospital, the equipment level of the hospital, the scientific research condition of the hospital, the medical insurance and.
In an alternative embodiment of the present invention, the information entry module 110 is further adapted to read information within the employee's radio frequency tag to collect initial information entered into the employee.
The information entry module 110 may also determine the user authority when entering information. Specifically, the information entry module 110 may include an information storage unit, a radio frequency information reading unit, a judgment unit, and a employee's card provided with a radio frequency tag; the radio frequency tag is stored with the name, the working department and the working position information of the staff; the information storage unit stores information stored in each radio frequency tag; the radio frequency information reading unit is used for reading information stored in the radio frequency tag within a preset range; and the judging unit is used for monitoring whether the user operates in real time, and judging whether the user is a worker storing the identity information according to the information in the radio frequency tag currently read by the radio frequency information reading unit and the worker information stored in the information storage unit. Judging whether the user is a registered user or not according to the login information, if not, prompting the user to input related information for registration, setting corresponding user authority for the user according to the related information, and storing the related information and the corresponding authority into a data item of the corresponding user; and if the user is a registered user, acquiring the user right corresponding to the user from the data entry according to the login information.
Further, the employee may submit data to the information entry module 110 through the client, and the information entry module 110 receives a data transmission request sent by the client. The data transmission request carries identity identification information of a client, the client can simultaneously initiate data transmission requests for a plurality of different clients, the client is uniquely bound with an identity to identify the client, the identity identification information can be a domain name URL (Uniform Resource Locator) and the like, and port information corresponding to the identity identification information is searched from a configuration file. The configuration file is a pre-generated file, and the file type may be in an XML (eXtensible Markup Language) form, so that each client loads and processes the configuration file. The identity information may correspond to one port information or a plurality of port information, the configuration file is used for reflecting the corresponding relationship among the port information of the current server transmission data, the parameter information, the port information of the client transmission data and the identity information of the client, and the parameter information is used for reflecting whether the client performs data transmission with the server or not and whether the client performs data transmission with the client or not. The port information of the server for transmitting data comprises ports which are used by the current server for data transmission with different clients.
In an optional embodiment of the present invention, as shown in fig. 2, the hospital management operation system based on the internet cloud platform shown in fig. 1 above may further include a construction module 140 coupled to the employee rating module 120, where the construction module 140 is adapted to collect employee data and process the collected employee data to obtain an employee sample data set; constructing a classification and rating initial model; then, training set data is selected from the worker sample data set, and the training set data is used for training the classification and rating initial model to obtain a trained classification and rating model; and then selecting test set data from the employee sample data set, evaluating the trained classification and rating model by using the test set data, and determining whether the trained classification and rating model is optimized and adjusted according to an evaluation result so as to obtain a classification and rating target model.
Further, when performing model training, the construction module 140 is further adapted to train the classification and rating initial model by using the training set data and using a preset machine learning algorithm to obtain a trained classification and rating model. The machine learning algorithm may be a TensorFlow multidimensional deep learning algorithm or other deep learning algorithms, which is not limited in this embodiment of the present invention.
TensorFlow is a second generation distributed machine learning system, originally designed with the intent to accelerate machine learning research and quickly convert prototypes into products. Compared with the first generation system, the TensorFlow is faster, more intelligent and more flexible, thus being more easily adapted to new products and research works. In addition to performing deep learning algorithms, TensorFlow may implement many other algorithms including linear regression, logistic regression, random forests, etc. The large-scale deep learning model established by TensorFlow has wide application scenes, including speech recognition, natural language processing, computer vision, robot control, information extraction, data analysis and prediction and the like. The TensorFlow provides a plurality of interfaces for constructing the neural network, so that the neural network model is convenient to construct, the programming work is simplified, and compared with the model constructed by the traditional platform, the efficiency is greatly improved.
Based on the classification rating target model constructed by the construction module 140, the employee rating module 120 may rate the employee by using the classification rating target model based on the initial information to obtain a rating result of the employee, and specifically, the employee rating module 120 may process the initial information according to the employee sample data set to obtain processed data; and then inputting the processed data into a classification and rating target model, and taking the obtained output as a rating result of the employee. The rating result here may be a primary, a middle, or a high level, or may be a level a, a level B, a level C, or may be a level one, a level two, or a level three, and the rating result may be set according to actual requirements, which is not limited in this embodiment of the present invention.
In an alternative embodiment of the invention, the employee rating module 120 is further adapted to extract hospital related data from the initial information if the employee is a member of an expert team or a hospital core; inputting relevant hospital data into a pre-constructed hospital assessment model, and outputting to obtain a grade score of the hospital; and ranking the employees by utilizing a pre-constructed classification ranking target model based on the initial information and the grade scores of the hospitals to obtain ranking results of the employees.
In one particular embodiment, the expert ratings may be automatically evaluated by:
in step 1, the staff ranking module 120 determines hospital data collection samples according to the hospital roles, and scores the hospital grades according to the sample attributes of the hospitals to obtain the grade scores of the hospitals.
And 2, analyzing the initial information of the staff through a machine learning algorithm to realize a classification and rating target model of the expert.
Since experts need to be classified (e.g., primary, intermediate, advanced, etc.), a Softmax Regression model is used, and in a neural network, if the problem is a classification model, the last layer is typically Softmax Regression. The working principle of the method is to add the characteristics which can be judged to be of a certain class, perform correlation regression analysis, and then convert the characteristics into the probability of judging to be of the class.
And 3, realizing a Softmax Regression model.
1) Defining a network structure (i.e. a network forward algorithm);
2) defining a loss function, and determining an Optimizer;
3) performing iterative training;
4) evaluated on test/validation set.
Compared with the traditional artificial assessment and evaluation mode, the assessment and evaluation of artificial intelligence and machine learning are introduced more accurately; in addition, the weights of all dimensions in the offline mode basically belong to artificial guess, and the scoring can be more automated due to the technical development of artificial intelligence, so that the efficiency is higher, and the application range is wider. Therefore, for each role in the management operation system including the examination of the hospital, a machine learning method is introduced to evaluate employees, authenticate the expert level, determine the share of the stock held by the experts and the like.
In an alternative embodiment of the present invention, as shown in fig. 2, the management operation unit 130 may include a payroll management module 131, and the payroll management module 131 is adapted to determine a payroll value of the employee according to the rating result and the first setting rule. The first setting rule may be that the rating result is primary, middle, or high, and corresponds to payroll values m, n, p, and the like, and it should be noted that this is merely an example and does not limit the embodiment of the present invention, and the first setting rule may be set or adjusted according to actual requirements in practical applications.
In an optional embodiment of the present invention, as shown in fig. 2, the management operation unit 130 may further include a payroll payment module 132, and the payroll payment module 132 is adapted to determine a share number of the employee according to the rating result, the payroll number and a second setting rule. The second setting rule may be that the rating result is primary, middle, or high level, which respectively correspond to payroll values m, n, p, etc., and the rating result is primary, middle, or high level, which respectively correspond to share values a%, b%, c%, etc., it should be noted that this is merely an example, and does not limit the embodiment of the present invention, and the second setting rule may be set or adjusted according to actual requirements in practical applications.
In an alternative embodiment of the present invention, as shown in fig. 2, the management operation unit 130 may further include a dividend management module 133, and the dividend management module 133 is adapted to obtain a profit value for a specified duration; and determining the red score value of the employee according to the share value and the profit value.
In an alternative embodiment of the present invention, as shown in fig. 2, the management operation unit 130 may further include a data analysis module 134, and the data analysis module 134 is further adapted to analyze the payroll value, the share value, and the dividend value by using a preset statistical model to generate the employee representation.
The architecture of the novel hospital management company provided by the embodiment of the invention is shown in fig. 3, and the architecture is composed of a business department, an expert team of a managed hospital and a core member of the managed hospital, wherein the expert team is composed of experts of the managed hospital and forms expert workshops in the hospital management company on an individual name.
In fig. 3, a hospital management company provides services such as marketing, operation, management and the like to a managed hospital, a business department provides guidance services in terms of products, marketing, functions and the like, an expert team provides medical support services, and a hospital core member team provides services such as hospital operation guidance, hospital management and the like.
A high-quality expert team certified by an employee rating module 120 in conjunction with a hospital management operations system; the payroll payment module 132 regularly pays the payroll of each expert as the share of the hospital management company according to the rating result, the payroll value and the second set rule, the share occupied by each expert is in direct proportion to the paid payroll, and the total share paid by all experts must not exceed the percentage threshold of the hospital management company, such as 20%; the dividend management module 133 regularly carries out level authentication and auditing on profits obtained by operation through information input, employee rating, wage management and wage payment module, finally distributes bonus according to the share holding proportion of each sharer, and turns up shares in the future to form capital premium; the data analysis module 134 is responsible for the statistical analysis of all the data, and automatically generates data analysis reports for decision reference of the management layer every quarter.
According to the embodiment of the invention, the efficiency of hospital management operation can be improved through the information input module 110, the employee rating module 120, the wage management module 131, the wage payment module 132, the dividend management module 133 and the data analysis module 134, and the operation work of a hospital management company can be realized and stimulated. Meanwhile, the system can also supervise and reserve high-quality expert team resources, improve the medical service level and the benign competitiveness, and ensure the benefit of experts while stabilizing and increasing the expert resources. In addition, the development and the benefits of the hospital management company can be effectively guaranteed.
It should be noted that, in practical applications, all the above optional embodiments may be combined in a combined manner at will to form an optional embodiment of the present invention, and details are not described here any more.
Based on the same inventive concept, the embodiment of the hospital management and operation system based on the internet cloud platform provided by the embodiments of the invention further provides a hospital management and operation method based on the internet cloud platform. As shown in fig. 4, the method may include the following steps S401 to S403:
step S401, collecting initial information of a recording employee, wherein the initial information comprises basic information and/or service related information;
step S402, based on the initial information, utilizing a pre-constructed classification rating target model to rate the employees to obtain rating results of the employees;
and step S403, performing corresponding operation management operation according to the rating result.
The initial information mentioned in step S401 may include basic information, and specifically, may be information such as name, age, image, and the like of the employee, which is not limited in this embodiment of the present invention.
Further, the relevant information of the business may be input in a targeted manner based on the types of the employees, such as members of business departments, members of expert teams, or members of hospital cores, for example, see the foregoing description, and will not be described herein again.
In an optional embodiment of the present invention, the collecting of the initial information of the entered employee in step S401 may specifically be reading information in a radio frequency tag of the employee, so as to collect the initial information of the entered employee.
In an alternative embodiment of the present invention, the classification rating target model may be constructed by the following steps A1 through A4:
step A1, collecting worker data, and processing the collected worker data to obtain a worker sample data set;
step A2, constructing a classification and rating initial model;
a3, selecting training set data from the sample data set of the worker, and training the classification and rating initial model by using the training set data to obtain a trained classification and rating model;
step A4, selecting test set data from the employee sample data set, evaluating the trained classification and rating model by using the test set data, and determining whether to optimize and adjust the trained classification and rating model according to an evaluation result so as to obtain a classification and rating target model.
In an alternative embodiment of the present invention, in the step a3, when performing model training, the initial classification rating model may be trained by using a preset machine learning algorithm using training set data, so as to obtain a trained classification rating model. The machine learning algorithm may be a TensorFlow multidimensional deep learning algorithm or other deep learning algorithms, which is not limited in this embodiment of the present invention.
Further, based on the constructed classification rating target model, in the above step S402, based on the initial information, the worker is rated by using the classification rating target model to obtain a rating result of the worker, and specifically, the initial information may be processed according to a sample data set of the worker to obtain processed data; and then inputting the processed data into a classification and rating target model, and taking the obtained output as a rating result of the employee. The rating result here may be a primary, a middle, or a high level, or may be a level a, a level B, a level C, or may be a level one, a level two, or a level three, and the rating result may be set according to actual requirements, which is not limited in this embodiment of the present invention.
In an alternative embodiment of the present invention, if the employee is a member of an expert team or a hospital core, step S402 above may extract hospital-related data from the initial information; inputting relevant hospital data into a pre-constructed hospital assessment model, and outputting to obtain a grade score of the hospital; and ranking the employees by utilizing a pre-constructed classification ranking target model based on the initial information and the grade scores of the hospitals to obtain ranking results of the employees.
In an optional embodiment of the present invention, in step S403, a corresponding operation management operation is performed according to the rating result, specifically, the payroll value of the employee may be determined according to the rating result and a first setting rule. The first setting rule may be that the rating result is primary, middle, or high, and corresponds to payroll values m, n, p, and the like, and it should be noted that this is merely an example and does not limit the embodiment of the present invention, and the first setting rule may be set or adjusted according to actual requirements in practical applications.
In an optional embodiment of the present invention, in step S403, corresponding operation management operation is performed according to the rating result, and specifically, the share number of the employee may be determined according to the rating result, the wage number, and a second setting rule. The second setting rule may be that the rating result is primary, middle, or high level, which respectively correspond to payroll values m, n, p, etc., and the rating result is primary, middle, or high level, which respectively correspond to share values a%, b%, c%, etc., it should be noted that this is merely an example, and does not limit the embodiment of the present invention, and the second setting rule may be set or adjusted according to actual requirements in practical applications.
In an optional embodiment of the present invention, in step S403, corresponding operation management operation is performed according to the rating result, and specifically, a profit value of a specified duration may also be obtained; and determining the red score value of the employee according to the share value and the profit value.
In an optional embodiment of the present invention, in step S403, a corresponding operation management operation is performed according to the rating result, and specifically, a preset statistical model may be adopted to analyze the wage value, the share value, and the dividend value, so as to generate the employee portrait.
Based on the same inventive concept, the embodiment of the present invention further provides a computer storage medium, where computer program codes are stored, and when the computer program codes are run on a computing device, the computing device is caused to execute the above hospital management operation method based on the internet cloud platform.
Based on the same inventive concept, an embodiment of the present invention further provides a computing device, including: a processor; a memory storing computer program code; the computer program code, when executed by the processor, causes the computing device to perform the above-described internet cloud platform based hospital management operation method.
It is clear to those skilled in the art that the specific working processes of the above-described systems, devices, units and modules may refer to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, no further description is provided herein.
In addition, the functional units in the embodiments of the present invention may be physically independent of each other, two or more functional units may be integrated together, or all the functional units may be integrated in one processing unit. The integrated functional units may be implemented in the form of hardware, or in the form of software or firmware.
Those of ordinary skill in the art will understand that: the integrated functional units, if implemented in software and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computing device (e.g., a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention when the instructions are executed. And the aforementioned storage medium includes: u disk, removable hard disk, Read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program code.
Alternatively, all or part of the steps of implementing the foregoing method embodiments may be implemented by hardware (such as a computing device, e.g., a personal computer, a server, or a network device) associated with program instructions, which may be stored in a computer-readable storage medium, and when the program instructions are executed by a processor of the computing device, the computing device executes all or part of the steps of the method according to the embodiments of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments can be modified or some or all of the technical features can be equivalently replaced within the spirit and principle of the present invention; such modifications or substitutions do not depart from the scope of the present invention.
In one aspect of the embodiments of the present invention, a1. a hospital management operation system based on an internet cloud platform is provided, including:
the information input module is suitable for collecting initial information of input workers, wherein the initial information comprises basic information and/or business related information;
the staff rating module is suitable for rating the staff by utilizing a pre-constructed classification rating target model based on the initial information to obtain a rating result of the staff;
and the management operation unit is suitable for carrying out corresponding operation management operation according to the rating result.
A2. The system according to a1, further comprising a building module adapted to:
collecting worker data, and processing the collected worker data to obtain a worker sample data set;
constructing a classification and rating initial model;
selecting training set data from the employee sample data set, and training the classification rating initial model by using the training set data to obtain a trained classification rating model;
and selecting test set data from the employee sample data set, evaluating the trained classification rating model by using the test set data, and determining whether to optimize and adjust the trained classification rating model according to an evaluation result so as to obtain a classification rating target model.
A3. The system of a2, the construction module further adapted to:
and training the classification and rating initial model by using the training set data and adopting a preset machine learning algorithm to obtain a trained classification and rating model.
A4. The system of a2, the employee rating module further adapted to:
processing the initial information according to the employee sample data set to obtain processed data;
and inputting the processed data into the classification and rating target model, and taking the obtained output as a rating result of the employee.
A5. The system of any one of a1-a4, the employee rating module further adapted to, if the employee is a member of an expert team or a hospital core:
extracting hospital-related data from the initial information;
inputting the hospital related data into a pre-constructed hospital assessment model, and outputting to obtain the grade score of the hospital;
and grading the employees by utilizing a pre-constructed classification grading target model based on the initial information and the grade scores of the hospitals to obtain grading results of the employees.
A6. The system of any one of a1-a4, the management operations unit comprising a payroll management module adapted to:
and determining the salary value of the employee according to the rating result and a first set rule.
A7. The system of a6, the management operations unit further comprising a payroll payment module adapted to:
and determining the share number value of the employee according to the rating result, the wage number value and a second set rule.
A8. The system according to a7, the management operations unit further comprising a dividend management module adapted to:
acquiring a profit value of a specified duration;
and determining the red score value of the employee according to the share value and the profit value.
A9. The system of A8, the management operations unit further comprising a data analysis module, the data analysis module further adapted to:
and analyzing the wage value, the share value and the dividend value by adopting a preset statistical model to generate a worker portrait.
A10. The system according to a1, the information entry module being further adapted to: and reading information in the radio frequency tag of the employee so as to acquire initial information input into the employee.
In another aspect of the embodiments of the present invention, there is also provided a b11. a hospital management operation method based on an internet cloud platform, including:
acquiring initial information input into a worker, wherein the initial information comprises basic information and/or business related information;
based on the initial information, rating the employees by using a pre-constructed classification rating target model to obtain rating results of the employees;
and carrying out corresponding operation management operation according to the rating result.
B12. According to the method of B11, a classification rating target model is constructed by:
collecting worker data, and processing the collected worker data to obtain a worker sample data set;
constructing a classification and rating initial model;
selecting training set data from the employee sample data set, and training the classification rating initial model by using the training set data to obtain a trained classification rating model;
and selecting test set data from the employee sample data set, evaluating the trained classification rating model by using the test set data, and determining whether to optimize and adjust the trained classification rating model according to an evaluation result so as to obtain a classification rating target model.
B13. According to the method of B12, training the classification rating initial model by using the training set data to obtain a trained classification rating model, including:
and training the classification and rating initial model by using the training set data and adopting a preset machine learning algorithm to obtain a trained classification and rating model.
B14. According to the method of B12, based on the initial information, the staff is rated by using a pre-constructed classification rating target model, and the result of rating the staff is obtained, which includes:
processing the initial information according to the employee sample data set to obtain processed data;
and inputting the processed data into the classification and rating target model, and taking the obtained output as a rating result of the employee.
B15. According to the method of any one of B11-B14, if the employee is a member of an expert team or a hospital core member, the employee is rated by using a pre-constructed classification rating target model based on the initial information, and a rating result of the employee is obtained, wherein the method comprises the following steps:
extracting hospital-related data from the initial information;
inputting the hospital related data into a pre-constructed hospital assessment model, and outputting to obtain the grade score of the hospital;
and grading the employees by utilizing a pre-constructed classification grading target model based on the initial information and the grade scores of the hospitals to obtain grading results of the employees.
B16. The method according to any one of B11-B14, performing corresponding operation management operation according to the rating result, comprising:
and determining the salary value of the employee according to the rating result and a first set rule.
B17. According to the method of B16, performing corresponding operation management operation according to the rating result, including:
and determining the share number value of the employee according to the rating result, the wage number value and a second set rule.
B18. According to the method of B17, performing corresponding operation management operation according to the rating result, including:
acquiring a profit value of a specified duration;
and determining the red score value of the employee according to the share value and the profit value.
B19. According to the method of B18, performing corresponding operation management operation according to the rating result, including:
and analyzing the wage value, the share value and the dividend value by adopting a preset statistical model to generate a worker portrait.
B20. The method of B11, wherein the collecting initial information of the input employee comprises:
and reading information in the radio frequency tag of the employee so as to acquire initial information input into the employee.
In yet another aspect of the embodiments of the present invention, there is also provided c21 a computer storage medium storing computer program code, which when run on a computing device, causes the computing device to execute the internet cloud platform based hospital management operation method according to any one of B11-B20.
In yet another aspect of the embodiments of the present invention, there is also provided a computing device, including: a processor; a memory storing computer program code; the computer program code, when executed by the processor, causes the computing device to perform any of the internet cloud platform based hospital management operating methods of B11-B20.
Claims (10)
1. The utility model provides a hospital management operation system based on internet cloud platform which characterized in that includes:
the information input module is suitable for collecting initial information of input workers, wherein the initial information comprises basic information and/or business related information;
the staff rating module is suitable for rating the staff by utilizing a pre-constructed classification rating target model based on the initial information to obtain a rating result of the staff;
and the management operation unit is suitable for carrying out corresponding operation management operation according to the rating result.
2. The system of claim 1, further comprising a build module adapted to:
collecting worker data, and processing the collected worker data to obtain a worker sample data set;
constructing a classification and rating initial model;
selecting training set data from the employee sample data set, and training the classification rating initial model by using the training set data to obtain a trained classification rating model;
and selecting test set data from the employee sample data set, evaluating the trained classification rating model by using the test set data, and determining whether to optimize and adjust the trained classification rating model according to an evaluation result so as to obtain a classification rating target model.
3. The system of claim 2, wherein the build module is further adapted to:
and training the classification and rating initial model by using the training set data and adopting a preset machine learning algorithm to obtain a trained classification and rating model.
4. The system of claim 2, wherein the employee rating module is further adapted to:
processing the initial information according to the employee sample data set to obtain processed data;
and inputting the processed data into the classification and rating target model, and taking the obtained output as a rating result of the employee.
5. The system of any one of claims 1-4, wherein if the employee is a member of an expert team or a hospital core, the employee rating module is further adapted to:
extracting hospital-related data from the initial information;
inputting the hospital related data into a pre-constructed hospital assessment model, and outputting to obtain the grade score of the hospital;
and grading the employees by utilizing a pre-constructed classification grading target model based on the initial information and the grade scores of the hospitals to obtain grading results of the employees.
6. The system according to any of claims 1-4, wherein the management operations unit comprises a payroll management module adapted to:
and determining the salary value of the employee according to the rating result and a first set rule.
7. The system of claim 6, wherein the management operations unit further comprises a payroll payment module adapted to:
and determining the share number value of the employee according to the rating result, the wage number value and a second set rule.
8. A hospital management operation method based on an Internet cloud platform is characterized by comprising the following steps:
acquiring initial information input into a worker, wherein the initial information comprises basic information and/or business related information;
based on the initial information, rating the employees by using a pre-constructed classification rating target model to obtain rating results of the employees;
and carrying out corresponding operation management operation according to the rating result.
9. A computer storage medium storing computer program code which, when run on a computing device, causes the computing device to perform the internet cloud platform based hospital management operating method of claim 8.
10. A computing device, comprising: a processor; a memory storing computer program code; the computer program code, when executed by the processor, causes the computing device to perform the internet cloud platform based hospital management operation method of claim 8.
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