A hospital operation decision-making management method, system, storage medium and electronic device

Abstract

The present invention discloses a hospital operation decision management method, system, storage medium and electronic device, which relates to the technical field of hospital operation. The present invention pre-professionally divides hospital resources to achieve professional treatment, and then extracts the element characteristics of each component according to the professional division situation, and conducts targeted professional division diagnosis and treatment on patients. At the same time, according to the element characteristics of each component, multiple professional treatment plans can be preset for the targeted patients, so that when the targeted patients are received, the corresponding professional treatment plans can be directly adopted. That is, the present application can quickly configure medical resources to conduct targeted treatment on patients when patients are received, and make full use of the golden treatment time of patients. That is, it solves the defect in the above-mentioned prior art that the rescue is not timely due to the improper allocation of medical resources.

Description

Technical Field

[0001] The present invention relates to the technical field of hospital operation, and particularly relates to a hospital operation decision management method, system, storage medium and electronic device. Background Art

[0002] Hospital services are respectively provided with outpatient, emergency, physical examination and inpatient services according to the patient's visit process. The number of patient data is extremely large. Therefore, the collection, transmission, interaction and sharing of medical service data exist in multiple information systems. The data generation processes of each system are diverse. Due to the different system bases and transmission purposes of each information system construction, the hospital itself only conducts unified recruitment of medical resources after receiving the patients, and then can arrange for the diagnosis and treatment of the patients' conditions.

[0003] The above medical treatment methods can be used for ordinary patients, but in the face of special emergency patients such as critically ill patients, obviously such medical treatment methods are a great waste of the golden treatment time of the patients, and it is easy to cause the situation of untimely rescue due to the improper allocation of medical resources. Summary of the Invention

[0004] The purpose of the present invention is to solve the defect of untimely rescue caused by improper allocation of medical resources in the prior art, and to propose a hospital operation decision management method, system, storage medium and electronic device.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0006] The present invention provides a hospital operation decision management method in the first aspect, including:

[0007] Obtain the resource allocation information of the target hospital, and at the same time determine the component composition of at least one target hospital;

[0008] According to the resource allocation information of the target hospital, perform element feature configuration on each component composition of the target hospital to obtain the element feature information of each component composition;

[0009] According to the component composition of the target hospital, and in combination with the element feature information of each component composition, generate at least one characteristic resource allocation aggregate;

[0010] According to the component composition of the target hospital, classify and integrate multiple characteristic resource allocation aggregates to obtain the key feature information of each characteristic resource allocation aggregate;

[0011] According to the key feature information of each characteristic resource allocation aggregate, analyze and produce the keyword information of each characteristic resource allocation aggregate;

[0012] Obtain the sudden medical information of the patient, extract the patient characteristics, and obtain the patient processing characteristic information;

[0013] Match the keyword information of each feature resource configuration aggregate with the patient processing characteristic information to obtain the patient medical treatment resource configuration package.

[0014] In some feasible solutions, the method for obtaining the element characteristic information of each component includes:

[0015] Obtain the personnel configuration information in each component according to the resource configuration information of the target hospital;

[0016] Extract and analyze the professionalism of the personnel configuration information in each component to determine the professionalism characteristic information of each configured person;

[0017] According to the professionalism characteristic information of each configured person and in combination with the component composition of the target hospital, determine at least one diagnosis and treatment resource configuration chain in each component;

[0018] According to the professionalism characteristic information of each configured person, determine the element characteristics of each diagnosis and treatment resource configuration chain in each component;

[0019] According to the element characteristics of each diagnosis and treatment resource configuration chain in each component, determine the element characteristic information of each component.

[0020] In some feasible solutions, the method for determining at least one diagnosis and treatment resource configuration chain in each component includes:

[0021] Classify the professionalism characteristic information of each configured person hierarchically according to the personnel configuration information in each component to determine the professionalism level information of each configured person;

[0022] Determine the hierarchical position of each configured person according to the professionalism level information of each configured person;

[0023] Determine at least one diagnosis and treatment resource configuration chain according to the hierarchical position of each configured person.

[0024] In some feasible solutions, the method for generating at least one feature resource configuration aggregate includes:

[0025] Obtain the information of past high-incidence diseases, and determine the characteristics of past high-incidence disease medical treatment according to the resource configuration information of the target hospital and the component composition of the target hospital;

[0026] Match the characteristics of past high-incidence disease medical treatment with the element characteristic information of each component to determine at least one diagnosis and treatment resource configuration chain for past high-incidence diseases;

[0027] Determine at least one processing configuration chain for previous common diseases according to the diagnosis and treatment resource allocation chain for previous common diseases.

[0028] Integrate and configure the processing configuration chains for previous common diseases according to the information on previous common diseases, and determine the characteristic resource allocation aggregate for previous common diseases.

[0029] Determine the disposal information for previous common diseases according to the characteristic resource allocation aggregate for previous common diseases.

[0030] In some feasible solutions, the method for analyzing and generating the keyword information of each characteristic resource allocation aggregate includes:

[0031] Obtain the processing configuration chain in the current characteristic resource allocation aggregate, and at the same time determine the diagnosis and treatment resource allocation chain in the current characteristic resource allocation aggregate.

[0032] According to the component composition of the target hospital, split the diagnosis and treatment resource allocation chain in the current characteristic resource allocation aggregate into personnel allocation information to obtain the personnel allocation information in the current characteristic resource allocation aggregate.

[0033] According to the personnel allocation information in each component composition and the professionalism characteristic information of each allocated person, conduct a professionalism analysis on the personnel allocation information in the current characteristic resource allocation aggregate to determine the professionalism characteristic information of the allocated persons in the current characteristic resource allocation aggregate.

[0034] According to the professionalism characteristic information of the allocated persons in the current characteristic resource allocation aggregate, perform coefficient ratio matching to obtain the ratio coefficient of each diagnosis and treatment resource allocation chain in the current characteristic resource allocation aggregate.

[0035] According to the ratio coefficient of each diagnosis and treatment resource allocation chain in the current characteristic resource allocation aggregate, and in combination with the element characteristic information of each component composition, determine the keyword information of each characteristic resource allocation aggregate.

[0036] In some feasible solutions, the method for analyzing and generating the keyword information of each characteristic resource allocation aggregate further includes:

[0037] Suppose there is a certain diagnosis and treatment resource allocation chain in the characteristic resource allocation aggregate , and suppose the diagnosis and treatment resource allocation chain has allocated persons with two levels of professionalism. At this time, the ratio coefficient of the diagnosis and treatment resource allocation chain is: ;

[0038] Among them, , The number of configured personnel with the first-level professionalism, is the ratio coefficient of the first-level professionalism; The number of configured personnel with the second-level professionalism, is the ratio coefficient of the second-level professionalism;

[0039] At this time, the keyword of the diagnosis and treatment resource allocation chain is .

[0040] In some feasible solutions, the method for analyzing and generating the keyword information of each characteristic resource allocation aggregate further includes:

[0041] Suppose there are at least two diagnosis and treatment resource allocation chains in a certain characteristic resource allocation aggregate , , then the keyword information of the characteristic resource allocation aggregate is:

[0042] ;

[0043] Among them, , is the keyword of the diagnosis and treatment resource allocation chain , is the keyword of the diagnosis and treatment resource allocation chain .

[0044] In the second aspect of the present invention, a hospital operation decision management system is provided, which adopts a hospital operation decision management method described in any one of the first aspects. The management system further includes:

[0045] A composition division module, which is used to divide and determine the composition of various components;

[0046] A matching set module, which is used to generate and construct a characteristic resource allocation aggregate;

[0047] An analysis and processing module, which is used to match and analyze the characteristic resource allocation aggregate with the sudden medical information of the patient;

[0048] A resource allocation module, which is used to allocate resources according to the patient's medical treatment resource allocation package.

[0049] In the third aspect of the present invention, a computer-readable medium is provided, on which a computer program is stored. Among them, when the program is executed by a processor, it implements a hospital operation decision management method described in any one of the first aspects.

[0050] The present invention provides an electronic device in a fourth aspect, including: one or more processors; a storage device storing one or more programs thereon;

[0051] When the one or more programs are executed by the one or more processors, the one or more processors implement a hospital operation decision management method as described in any one of the first aspect.

[0052] The beneficial effects of the present invention are:

[0053] The present invention pre-divides hospital resources professionally to achieve professional treatment, then extracts the element characteristics of each component according to the professional division situation, conducts targeted professional division and treatment of patients, and can also preset multiple professional treatment plans for the targeted patients according to the element characteristics of each component, so that when receiving the targeted patients, the corresponding professional treatment plans can be directly adopted. That is, the present application can quickly configure medical resources to conduct targeted treatment of patients when receiving patients, making full use of the golden treatment time of patients. That is, it realizes solving the above-mentioned disadvantages in the prior art where rescue is not timely due to the improper allocation of medical resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the overall process of a hospital operation decision management method provided in an embodiment of the present invention;

[0055] Figure 2 It is a schematic diagram of a partial process of a hospital operation decision management method provided in an embodiment of the present invention;

[0056] Figure 3 It is a schematic diagram of a characteristic resource configuration aggregate in a hospital operation decision management method provided in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the scope of protection of the present invention.

[0058] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly.

[0059] In the present invention, unless otherwise clearly specified or limited, terms such as "connection" and "fixation" shall be understood in a broad sense. For example, "fixation" may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components or the interaction relationship between two components, unless otherwise clearly limited. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0060] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, such descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the meaning of "and / or" appearing throughout the text includes three parallel scenarios. Taking "A and / or B" as an example, it includes Scenario A, or Scenario B, or the scenario where both A and B are satisfied simultaneously. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0061] Example: Referring to Figures 1 to 3 , in order to solve the above-mentioned drawbacks in the prior art where rescue is not timely due to the improper allocation of medical resources, the present invention provides a hospital operation decision management method in this embodiment. The management method realizes professional treatment by pre-professionally dividing hospital resources, and then extracts the element characteristics of each component according to the professional division situation, and conducts targeted professional division and treatment of patients. At the same time, multiple professional treatment plans can also be preset for the targeted patients according to the element characteristics of each component, so that when the targeted patients are received, the corresponding professional treatment plans can be directly adopted. That is, the present application can quickly allocate medical resources to conduct targeted treatment of patients when patients are received, making full use of the golden treatment time of the patients. That is, it realizes the solution to the above-mentioned drawbacks in the prior art where rescue is not timely due to the improper allocation of medical resources.

[0062] Referring to Figure 1 , Figure 2 and Figure 3, specifically, the present invention provides a hospital operation decision-making management method in the first aspect, including: collecting and obtaining the resource allocation and medical staff strength within the target hospital according to the actual situation, obtaining the resource allocation information of the target hospital, and at the same time determining the component composition of at least one target hospital, that is, dividing the departments according to the medical staff strength and resource allocation within the target hospital to determine the component composition existing in the target hospital. Then, according to the resource allocation information of the target hospital, perform element feature configuration on each component composition of the target hospital to obtain the element feature information of each component composition; that is, extract the element features of the diagnosis and treatment specialties of each component composition according to the medical staff strength and actual resource allocation in the hospital, and then clarify the specialties that each component composition in the target hospital is good at seeing patients, so as to realize the subsequent targeted patient treatment arrangements. Here, in order to more quickly conduct targeted treatment on patients, the present invention can also generate at least one characteristic resource allocation aggregate according to the component composition of the target hospital and in combination with the element feature information of each component composition, that is, according to the disease characteristics of the patient, utilize the component composition of the target hospital and in combination with the element feature information of each component composition, and can pre-generate a diagnosis and treatment plan for the disease characteristics of the patient. Here, a diagnosis and treatment plan for the disease characteristics of the patient can be generated as a characteristic resource allocation aggregate to match the medical resource diagnosis and treatment plan. Then, according to the component composition of the target hospital, classify and integrate multiple characteristic resource allocation aggregates to obtain the key feature information of each characteristic resource allocation aggregate, that is, corresponding key feature information can be extracted according to the different characteristic points of the diagnosis and treatment plans of multiple characteristic resource allocation aggregates for the disease characteristics of different patients. Then, according to the key feature information of each characteristic resource allocation aggregate, analyze and produce the keyword information of each characteristic resource allocation aggregate. Then, when receiving the patient rescue call information or admitting the patient to the hospital, after obtaining the patient's sudden medical information, immediately extract the patient characteristics to obtain the patient processing characteristic information; then, according to the keyword information of each characteristic resource allocation aggregate, match it with the patient processing characteristic information to obtain the patient treatment resource allocation package. That is, according to the received patient admission information, immediately analyze the disease characteristics of the patient, extract the corresponding disease characteristics and match and analyze them with the keyword information of the pre-made characteristic resource allocation aggregate, and then determine the corresponding medical treatment plan and allocate the corresponding medical treatment resources. That is, the present application can realize that when receiving a patient, it can quickly allocate medical resources to conduct targeted treatment on the patient, making full use of the golden treatment time of the patient. That is, it also realizes solving the above-mentioned disadvantages in the prior art that the rescue is not timely due to the improper allocation of medical resources.

[0063] In this embodiment, for the convenience of understanding how to extract and analyze the element feature information of the component composition, the following description is provided. The method for obtaining the element feature information of each component composition includes: obtaining the personnel configuration information in each component composition according to the resource configuration information of the target hospital; that is, pre-investigating the number of personnel in each component composition in advance. Then, according to the personnel configuration information in each component composition, extract and analyze the professionalism of the personnel configuration information in each component composition, and determine the professionalism feature information of each configured personnel; that is, according to the number of personnel in each component composition, extract the profession of each configured personnel. For example, according to the medical staff situation and the medical treatment ability, the configured personnel can be divided into levels such as attending physicians, chief physicians, expert physicians, and configured nurses, and the professionalism features of their medical abilities are extracted respectively. Then, according to the professionalism feature information of each configured personnel and combined with the component composition of the target hospital, at least one diagnosis and treatment resource configuration chain is determined in each component composition; that is, the diagnosis and treatment plan and process for the patient are determined. Subsequently, according to the professionalism feature information of each configured personnel, the element features of each diagnosis and treatment resource configuration chain in each component composition can be determined; that is, the professionalism feature analysis can be carried out according to the professional fields that the configured personnel are good at, and then the disease characteristics that each diagnosis and treatment resource configuration chain can target can be analyzed. Then, according to the element features of each diagnosis and treatment resource configuration chain in each component composition, the element feature information of each component composition is determined. That is, here, by pre-dividing the professional fields that the configured personnel in each component composition are good at according to professionalism, and then generating a set of diagnosis and treatment plans and processes for a certain disease characteristic, and marking the element features of this set of diagnosis and treatment plans and processes according to this characteristic.

[0064] Specifically, for the convenience of further understanding how to configure the corresponding diagnosis and treatment resource configuration chain, the following description is provided. The method for determining at least one diagnosis and treatment resource configuration chain in each component composition includes: classifying the professionalism feature information of each configured personnel into levels according to the personnel configuration information in each component composition, and determining the professionalism level information of each configured personnel; that is, according to the personnel configuration information of each component composition, classify the levels according to the professionalism of each personnel, and then determine the hierarchical position of each configured personnel according to the professionalism level information of each configured personnel. Subsequently, at least one diagnosis and treatment resource configuration chain can be determined according to the hierarchical position of each configured personnel. That is, according to the different professionalism qualities of the configured personnel, the levels of the professions that each configured personnel is good at can be determined, and then the personnel are configured at different levels according to the diagnosis and treatment process to treat the patient.

[0065] Refer to Figure 3, in some preferred embodiments, for the convenience of understanding how to construct a characteristic resource configuration aggregate, the following is an illustration by taking the past history of frequent diseases as an example. The method for generating at least one characteristic resource configuration aggregate includes: pre-acquiring the information of the past history of frequent diseases, and then determining the characteristic information of the past history of frequent diseases for medical treatment according to the resource configuration information and component composition of the target hospital; that is, according to the situation of a certain past history of frequent diseases in the hospital, extracting the corresponding characteristic information of the medical treatment, and then matching the characteristic information of the past history of frequent diseases for medical treatment with the element characteristic information of each component composition to determine at least one diagnosis and treatment resource configuration chain for the past history of frequent diseases; that is, according to the past historical experience, combining with the extraction of the corresponding characteristic information of the medical treatment, and matching according to the element characteristics of the component composition to determine the diagnosis and treatment plan for the past history of frequent diseases. Then, according to the diagnosis and treatment resource configuration chain for the past history of frequent diseases, determining at least one processing configuration chain for the past history of frequent diseases, that is, configuring the corresponding diagnosis and treatment plan process according to the diagnosis and treatment plan for the past history of frequent diseases. At the same time, according to the information of the past history of frequent diseases, the processing configuration chains for the past history of frequent diseases can be integrally configured to determine the characteristic resource configuration aggregate for the past history of frequent diseases, so as to be able to diagnose and treat this frequent disease specifically. Then, according to the characteristic resource configuration aggregate for the past history of frequent diseases, determining the disposal information for the past history of frequent diseases. That is, here, the disease characteristics of the past history of frequent diseases are used to configure the corresponding diagnosis and treatment resources, and at the same time, the corresponding diagnosis and treatment process is determined according to the diagnosis and treatment resources, and then the disposal means for this frequent disease are determined. In this embodiment, according to the disease characteristics of the past history of frequent diseases, the disease characteristics of this patient can also be determined, and the disease complications and other characteristics of this patient can also be determined at the same time. According to the element characteristics of the composition, different diagnosis and treatment means for the disease complications of this patient are configured, and then the characteristic resource configuration aggregate for the disease complications of the current patient is determined.

[0066] Refer to Figure 3, in this embodiment, for the convenience of understanding how to analyze and generate the keyword information of each feature resource configuration aggregate, the following description is provided. The method for analyzing and generating the keyword information of each feature resource configuration aggregate includes: obtaining the processing configuration chain in the current feature resource configuration aggregate, and simultaneously determining the diagnosis and treatment resource configuration chain in the current feature resource configuration aggregate; that is, the processing configuration chain in the feature resource configuration aggregate can be obtained, and the diagnosis and treatment resource configuration chain in the feature resource configuration aggregate can be deduced. Then, according to the component composition of the target hospital, the diagnosis and treatment resource configuration chain in the current feature resource configuration aggregate is split into personnel configuration information to obtain the personnel configuration information in the current feature resource configuration aggregate; that is, the number of configured personnel and the professional level in the feature resource configuration aggregate are determined. To achieve the professional analysis of the personnel configuration information in the current feature resource configuration aggregate based on the personnel configuration information in each component composition and the professional feature information of each configured person, and then determine the professional feature information of the configured personnel in the current feature resource configuration aggregate; then, according to the professional feature information of the configured personnel in the current feature resource configuration aggregate, coefficient ratio is performed to obtain the ratio coefficient of each diagnosis and treatment resource configuration chain in the current feature resource configuration aggregate; specifically, in this implementation plan, the method for analyzing and generating the keyword information of each feature resource configuration aggregate further includes:

[0067] Suppose there is a certain diagnosis and treatment resource configuration chain in the feature resource configuration aggregate , and suppose the diagnosis and treatment resource configuration chain has configured personnel with two levels of professionalism (it should be noted that in the case of different disease characteristics of different patients, there can be one or more configured personnel with different levels of professionalism, which will not be elaborated here). At this time, the ratio coefficient of the diagnosis and treatment resource configuration chain is:

[0068] ;

[0069] Among them, , is the number of configured personnel with the first-level professionalism, is the ratio coefficient of the first-level professionalism; is the number of configured personnel with the second-level professionalism, is the ratio coefficient of the second-level professionalism;

[0070] At this time, the keyword of the diagnosis and treatment resource configuration chain is , and can be displayed according to the professional field words represented by the professionalism existing in the diagnosis and treatment resource configuration chain .

[0071] In some feasible embodiments, in order to generate multiple comprehensive treatment plans for the disease complications of certain patients, it is also possible to determine the keyword information of each characteristic resource configuration aggregate according to the ratio coefficients of each diagnosis and treatment resource configuration chain in the current characteristic resource configuration aggregate and in combination with the element characteristic information composed of each component (wherein, at least one keyword term representing a professional field of professionalism is included). The method for analyzing and producing the keyword information of each characteristic resource configuration aggregate further includes:

[0072] Suppose there is at least two diagnosis and treatment resource configuration chains in a certain characteristic resource configuration aggregate Then the keyword information of the characteristic resource configuration aggregate , is: ; Among them, ;

[0073] is the keyword of the diagnosis and treatment resource configuration chain , is the keyword of the diagnosis and treatment resource configuration chain . In addition, when . That is, the keyword information in the characteristic resource configuration aggregate can determine the corresponding keyword sorting according to the ratio coefficients of various diagnosis and treatment resource configuration chains. That is, the diagnosis and treatment fields that the characteristic resource configuration aggregate is good at can be determined according to the professionalism of different physicians' diagnosis and treatment resources. It should be noted here that each characteristic resource configuration aggregate may also only have one diagnosis and treatment resource configuration chain. Referring to , in this embodiment, in order to better optimize the medical resource strength of the diagnosis and treatment resource configuration chains in the characteristic resource configuration aggregate, the number of general hierarchical professionals in each diagnosis and treatment resource configuration chain can be uniformly allocated, that is, the configuration personnel with low professionalism requirements in each diagnosis and treatment resource configuration chain can be configured in the diagnosis and treatment resource chain according to the actual medical treatment situation, such as the execution nurses of different specialties can be uniformly allocated or arranged according to the actual medical treatment situation.

[0074] Refer to Figure 3 , in this embodiment, in order to better optimize the medical resource strength of the diagnosis and treatment resource configuration chains in the characteristic resource configuration aggregate, the number of general hierarchical professionals in each diagnosis and treatment resource configuration chain can be uniformly allocated, that is, the configuration personnel with low professionalism requirements in each diagnosis and treatment resource configuration chain can be configured in the diagnosis and treatment resource chain according to the actual medical treatment situation, such as the execution nurses of different specialties can be uniformly allocated or arranged according to the actual medical treatment situation.

[0075] In a second aspect, the present invention provides a hospital operation decision management system, which adopts a hospital operation decision management method as described in any one of the first aspects, and realizes that when receiving a patient, medical resources can be quickly configured to provide targeted treatment for the patient, making full use of the golden treatment time of the patient. That is, it realizes solving the shortcoming in the above-mentioned prior art that rescue is not timely due to the improper allocation of medical resources. In addition, the management system further includes: a composition division module, a matching set module, an analysis and processing module, and a resource allocation module. The composition division module can divide and determine various component compositions according to the medical resource allocation in the hospital (that is, determine the medical departments existing in the hospital, such as internal medicine, surgery, inpatient department, radiotherapy department, logistics department, etc.); the matching set module is used to generate and construct a characteristic resource allocation set, that is, generate a treatment plan in advance according to the treatment professional capabilities and resources of each component composition, and at the same time generate keywords of the treatment plan; the analysis and processing module is used to match and analyze the characteristic resource allocation set with the patient's sudden medical information, that is, match according to the characteristics of the received patient and the keywords of the treatment plan to generate a corresponding treatment plan. The resource allocation module is used to allocate resources according to the patient's medical treatment resource allocation package, that is, allocate corresponding medical resources according to the corresponding treatment plan. In this embodiment, in order to better observe the treatment situation of the patient, the management system further includes: a patient traceability module, and the patient traceability module is used to record the patient's treatment record and traceability. In order to better enable the patient to check the treatment record, which is convenient for subsequent follow-up consultations.

[0076] In some embodiments, the management system can communicate using any currently known or future-developed network protocol such as HTTP (Hyper Text Transfer Protocol), and can be interconnected with digital data communication in any form or medium (for example, a communication network). Examples of communication networks include local area networks ("LAN"), wide area networks ("WAN"), the Internet (for example, the Internet), and end-to-end networks (for example, ad hoc end-to-end networks), as well as any currently known or future-developed network.

[0077] The functions described above herein can be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that can be used include: field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), system on a chip (SOC), complex programmable logic devices (CPLD), and so on.

[0078] In a third aspect of the present invention, there is provided a computer-readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements a hospital operation decision management method as described in any one of the first aspects. The computer-readable medium in this embodiment may be written in one or more programming languages or combinations thereof to write computer program code for performing the operations of some embodiments of the present disclosure. The above programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., by connecting through an Internet service provider using the Internet).

[0079] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0080] Specifically, according to some embodiments of the present disclosure, the process described above with reference to the flowchart may be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes program code for performing the method shown in the flowchart.

[0081] A fourth aspect of the present invention provides an electronic device, comprising: one or more processors; a storage device having stored thereon one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement a hospital operation decision management method as described in the first aspect. Wherein, the above computer-readable medium may be included in the above electronic device; or may exist separately, that is, not assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device is enabled to implement a hospital operation decision management method as described in the first aspect.

[0082] A fifth aspect of the present invention provides a computer program product, comprising a computer program which, when executed by a processor, implements a hospital operation decision management method as described in the first aspect.

[0083] The above description is only some preferred embodiments of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, a technical solution formed by mutually replacing the above features with technical features having similar functions (but not limited to) disclosed in the embodiments of the present disclosure.

Claims

1. A hospital operation decision management method, characterized in that: include: Obtain resource allocation information of target hospitals, and simultaneously determine the component composition of at least one target hospital; According to the resource allocation information of the target hospital, the element characteristics of each component of the target hospital are configured to obtain the element characteristic information of each component; According to the component composition of the target hospital and in combination with the element characteristic information of each component composition, at least one characteristic resource configuration aggregate is generated; According to the component composition of the target hospital, multiple characteristic resource configuration aggregates are classified and integrated to obtain the key characteristic information of each characteristic resource configuration aggregate; Analyze and create keyword information of each feature resource configuration aggregate according to key feature information of each feature resource configuration aggregate; Obtain patient emergency medical information, extract patient characteristics, and obtain patient treatment feature information; According to the keyword information of each characteristic resource configuration aggregate, the patient treatment characteristic information is matched to obtain the patient treatment resource configuration package; The method of analyzing and producing keyword information of each characteristic resource configuration aggregate includes: Obtaining the processing configuration chain in the current feature resource configuration aggregate, and simultaneously determining the diagnosis and treatment resource configuration chain in the current feature resource configuration aggregate; According to the component composition of the target hospital, the diagnosis and treatment resource configuration chain in the current characteristic resource configuration aggregate is split into personnel configuration information to obtain the personnel configuration information in the current characteristic resource configuration aggregate; According to the personnel configuration information in each component and the professional characteristic information of each configuration personnel, the professional characteristic information of the configuration personnel in the current characteristic resource configuration aggregate is analyzed, and the professional characteristic information of the configuration personnel in the current characteristic resource configuration aggregate is determined; According to the professional characteristic information of the configuration personnel in the current characteristic resource configuration aggregate, the coefficient matching is performed to obtain the matching coefficient of each diagnosis and treatment resource configuration chain in the current characteristic resource configuration aggregate; According to the matching coefficient of each diagnosis and treatment resource configuration chain in the current characteristic resource configuration aggregate, and in combination with the element characteristic information of each component, the keyword information of each characteristic resource configuration aggregate is determined; Specifically, the method for analyzing and producing keyword information of each characteristic resource configuration aggregate further includes: Assume that there is a diagnosis and treatment resource configuration chain in the characteristic resource configuration aggregate , and set up a diagnosis and treatment resource allocation chain There are two levels of professional personnel configuration. At this time, the diagnosis and treatment resource configuration chain The ratio coefficient for: ; in, , The number of personnel assigned to the first level of expertise, is the matching coefficient of the first level of professionalism; The number of staff assigned to the second level of expertise, is the matching coefficient of the second-level professional degree; At this time, the diagnosis and treatment resource allocation chain The keywords are .

2. A hospital operation decision management method according to claim 1, characterized in that: The method for obtaining the element characteristic information of each component comprises: According to the resource allocation information of the target hospital, obtain the personnel allocation information in each component; According to the personnel configuration information in each component, the professionalism of the personnel configuration information in each component is extracted and analyzed to determine the professionalism characteristic information of each configuration personnel; According to the professional characteristic information of each configuration personnel and combined with the component composition of the target hospital, at least one diagnosis and treatment resource configuration chain is determined in each component composition; According to the professional characteristic information of each configuration personnel, determine the element characteristics of each diagnosis and treatment resource configuration chain in each component; According to the element characteristics of each diagnosis and treatment resource configuration chain in each component composition, the element characteristic information of each component composition is determined.

3. A hospital operation decision management method according to claim 2, characterized in that: The method for determining at least one diagnosis and treatment resource configuration chain in each component structure includes: According to the personnel configuration information in each component, the professional characteristic information of each configuration personnel is hierarchically classified to determine the professional level information of each configuration personnel; Determine the hierarchical position of each configuration personnel based on their professional level information; Determine at least one diagnosis and treatment resource configuration chain based on the hierarchical position of each configuration personnel.

4. A hospital operation decision management method according to claim 3, characterized in that: The method for generating at least one characteristic resource configuration aggregate comprises: Obtain the information on the history of high-incidence diseases in the past, and determine the visit characteristic information on the history of high-incidence diseases in the past based on the resource allocation information and component composition of the target hospital; According to the medical treatment characteristic information of the previous high-incidence history, match it with the characteristic information of the elements of each component to determine at least one medical treatment resource allocation chain for the previous high-incidence history; According to the diagnosis and treatment resource allocation chain for the previous high incidence history, determine at least one treatment allocation chain for the previous high incidence history; According to the information of the history of previous high incidence, the processing configuration chain of the history of previous high incidence is integrated and configured to determine the characteristic resource configuration aggregate of the history of previous high incidence; Based on the characteristic resource configuration aggregate of the previous history of high incidence, the disposal information of the previous history of high incidence is determined.

5. A hospital operation decision management method according to claim 4, characterized in that: The method of analyzing and producing keyword information of each characteristic resource configuration aggregate further includes: Suppose a characteristic resource configuration aggregate There are at least two diagnosis and treatment resource configuration chains in , , then the characteristic resource configuration aggregate Keyword information for: ； in, , Configuring a chain for diagnosis and treatment resources Keywords, Configuring a chain for diagnosis and treatment resources Keywords.

6. A hospital operation decision management system, characterized in that: A hospital operation decision management method according to any one of claims 1 to 5 is adopted, wherein the management system further comprises: A composition division module, wherein the composition division module is used to divide and determine the composition of each component; A matching set module, the matching set module is used to generate and construct a feature resource configuration set; An analysis and processing module, the analysis and processing module is used to match and analyze the characteristic resource configuration aggregate with the patient's sudden medical information; A resource configuration module is used to configure resources according to a patient's medical resource configuration package.

7. A computer readable medium having a computer program stored thereon, characterized in that: in, When the program is executed by a processor, a hospital operation decision management method as described in any one of claims 1 to 5 is implemented.

8. An electronic device, comprising: one or more processors; A storage device having one or more programs stored thereon; characterized in that: When the one or more programs are executed by the one or more processors, the one or more processors implement a hospital operation decision management method as described in any one of claims 1 to 5.

Images