CN115512801A - Medical standard data processing method, device, equipment and storage medium - Google Patents
Medical standard data processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The application provides a medical standard data processing method, a medical standard data processing device, medical standard data processing equipment and a storage medium, and relates to the technical field of data processing. The medical standard data processing method comprises the following steps: the method comprises the steps of receiving medical standard data uploaded by a first medical institution, sending the medical standard data to at least three medical institutions in a plurality of medical institutions, receiving visit index information sent by the at least three medical institutions and calculating the total number of visits, receiving the matching rate of the at least three medical institutions for the medical standard data, adopting a preset decision excitation model according to the total number of visits, the matching rate of the medical standard data and the duration of participation in a block chain of a alliance, calculating decision values of the at least three medical institutions for the medical standard data, and if the decision values of the medical standard data meet preset conditions, issuing the medical standard data to all the medical institutions participating in the block chain of the alliance. The method can improve the participation degree and the consensus degree of each medical institution in the process of formulating the medical standard data.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a medical standard data processing method, a medical standard data processing device, medical standard data processing equipment and a storage medium.
Background
With the continuous acceleration of the process of medical informatization, the data utilization requirements of regional medical institutions and multi-center medical institutions are increasing, but due to the diversity of medical business processes of the medical institutions, the generated business data are diverse and difficult to process, and standard data governance work is difficult to perform uniformly. The important part of data management is data processing based on medical standard data, and the medical standard data plays a vital role in data utilization occasions.
At present, medical standard data are mostly standard data formulated by a formulated medical institution, and after the formulated medical standard data are formulated by the formulated medical institution, the medical standard data are directly issued to other medical institutions for application.
However, when standard data established by medical institutions is established, the participation degree of other medical institutions in the standard data establishing process is not enough, so that the established medical standard data is difficult to achieve consensus and has poor reliability.
Disclosure of Invention
The present invention aims to provide a method, an apparatus, a device and a storage medium for processing medical standard data, so as to improve the participation degree of each medical institution and the common knowledge degree of each medical institution in the process of formulating the medical standard data.
In order to achieve the above purpose, the embodiments of the present application adopt the following technical solutions:
in a first aspect, an embodiment of the present application provides a medical standard data processing method, which is applied to any blockchain node device in a federation blockchain, and the method includes:
receiving medical standard data uploaded by a first medical institution;
transmitting the medical standards data to at least three medical institutions of the plurality of medical institutions;
receiving the visit index information sent by the at least three medical institutions within a preset time period;
calculating the total number of the treatment according to the treatment index information;
receiving matching rates for the medical criteria data sent by the at least three medical institutions; wherein the at least three medical institutions comprise: the first medical facility and at least two second medical facilities;
calculating decision values of the at least three medical institutions for the medical standard data by adopting a preset decision excitation model according to the total number of the visits, the matching rate of the medical standard data and the duration of the at least three medical institutions participating in the block chain of the alliance;
and if the decision value of the medical standard data meets a preset condition, issuing the medical standard data to all medical institutions participating in the block chain of the alliance.
In an optional embodiment, before the receiving the matching rates for the medical standard data sent by the at least three medical institutions, the method further comprises:
receiving modified medical standard data uploaded by at least one medical institution in the at least three medical institutions;
transmitting the modified medical standard data to the at least three medical institutions;
calculating decision values of the at least three medical institutions aiming at the modified medical standard data by adopting the preset decision excitation model according to the total number of the visits, the matching rate of the modified medical standard data and the time length of the at least three medical institutions participating in the alliance block chain;
and if the decision value of the modified medical standard data meets the preset condition, issuing the modified medical standard data to all medical institutions participating in the block chain of the alliance.
In an optional embodiment, before calculating the decision values of the at least three medical institutions for the medical standard data by using a preset decision incentive model according to the total number of visits, the matching rate of the medical standard data and the time length of the at least three medical institutions participating in the alliance blockchain, the method further comprises:
receiving an approval request for the medical standard data initiated by any one of the at least three medical institutions;
sending the approval request to other medical institutions except the any one medical institution in the at least three medical institutions;
receiving the approval results sent by the other medical institutions;
the calculating, according to the total number of visits, the matching rate of the medical standard data, and the duration of participation of the at least three medical institutions in the block chain of alliance, the decision values of the at least three medical institutions for the medical standard data by using a preset decision excitation model includes:
and calculating a decision value of the target medical institution aiming at the medical standard data by adopting the preset decision incentive model according to the total number of the medical visits of the target medical institution agreeing to be issued, the matching rate of the target medical institution aiming at the medical standard data and the time length of the target medical institution participating in the block chain of the alliance according to the approval result.
In an alternative embodiment, the calculating, according to the total number of visits, the matching rate of the medical standard data, and the duration of participation of the at least three medical institutions in the federation blockchain, the decision values of the at least three medical institutions for the medical standard data by using a preset decision incentive model includes:
and calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting the preset decision incentive model according to the total number of the visits, the matching rate of the medical standard data, the time length of the at least three medical institutions participating in the alliance block chain and the authority parameters of the at least three medical institutions.
In an alternative embodiment, the predetermined decision incentive model comprises: a first decision algorithm, and a second decision algorithm;
calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting the preset decision incentive model according to the total number of the visits, the matching rate of the medical standard data, the time length of the at least three medical institutions participating in the alliance block chain and authority parameters of the at least three medical institutions, wherein the decision values of the at least three medical institutions aiming at the medical standard data comprise:
calculating scale parameters of the at least three medical institutions according to the total number of the visits and a preset maximum number of the visits;
calculating participation alliance parameters of the at least three medical institutions according to the duration of the at least three medical institutions participating in the alliance blockchain and the establishment duration of the alliance blockchain;
calculating a decision value of each medical institution in the at least three medical institutions by adopting the first decision algorithm according to a scale parameter of each medical institution, a participation alliance parameter of each medical institution, a matching rate of each medical institution for the medical standard data and an authority parameter of each medical institution;
and calculating the decision values of the at least three medical institutions aiming at the medical standard data by adopting the second decision algorithm according to the decision values of the at least three medical institutions.
In an alternative embodiment, the first decision algorithm is a weighted average algorithm, and the calculating the decision value of each medical institution according to the scale parameter of each medical institution in the at least three medical institutions, the participation alliance parameter of each medical institution, the matching rate of each medical institution for the medical standard data, and the authority parameter of each medical institution by using the first decision algorithm includes:
and calculating a decision value of each medical institution by adopting the weighted sum algorithm according to the scale parameter of each medical institution in the at least three medical institutions, the participation alliance parameter of each medical institution, the matching rate of each medical institution for the medical standard data, the authoritative parameter of each medical institution and the preset weight of each parameter.
In an alternative embodiment, the second decision algorithm is an accumulation algorithm, and the calculating the decision values of the at least three medical institutions for the medical standard data according to the decision values of the at least three medical institutions by using the second decision algorithm comprises:
and calculating the decision values of the at least three medical institutions aiming at the medical standard data by adopting the accumulation algorithm according to the decision values of the at least three medical institutions.
In a second aspect, an embodiment of the present application further provides a medical standard data processing apparatus, including: the device comprises a receiving module, a sending module and a processing module;
the receiving module is used for receiving medical standard data uploaded by a first medical institution;
the transmitting module is used for transmitting the medical standard data to at least three medical institutions in the plurality of medical institutions;
the receiving module is further used for receiving the clinic index information sent by the at least three medical institutions within a preset time period;
the processing module is used for calculating the total number of the treatment according to the treatment index information;
the receiving module is further configured to receive matching rates for the medical standard data sent by the at least three medical institutions; wherein the at least three medical institutions comprise: the first medical facility and at least two second medical facilities;
the processing module is further configured to calculate decision values of the at least three medical institutions for the medical standard data by using a preset decision excitation model according to the total number of visits, the matching rate of the medical standard data, and the duration of participation of the at least three medical institutions in the block chain of the alliance;
the sending module is further configured to issue the medical standard data to all medical institutions participating in the federation block chain if the decision value of the medical standard data meets a preset condition.
In a third aspect, an embodiment of the present application further provides a block link point device, including: a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, when the block link node device is running, the processor and the storage medium communicate with each other through the bus, and the processor executes the program instructions to execute the steps of the medical standard data processing method according to any one of the previous embodiments.
In a fourth aspect, the present application further provides a storage medium, on which a computer program is stored, where the computer program is executed by a processor to execute the steps of the medical standard data processing method according to any one of the foregoing embodiments.
The beneficial effect of this application is:
the application provides a medical standard data processing method, a device, block chain link point equipment and a storage medium, comprising the following steps: receiving medical standard data uploaded by a first medical institution; transmitting medical standard data to at least three medical institutions of the plurality of medical institutions; receiving clinic index information sent by at least three medical institutions within a preset time period; calculating the total number of the visits according to the visit index information; receiving matching rates for medical standard data sent by at least three medical institutions; wherein the at least three medical institutions comprise: a first medical facility and at least two second medical facilities; calculating decision values of at least three medical institutions aiming at the medical standard data by adopting a preset decision excitation model according to the total number of the medical visits, the matching rate of the medical standard data and the time length of at least three medical institutions participating in the block chain of the alliance; and if the decision value of the medical standard data meets the preset condition, issuing the medical standard data to all medical institutions participating in the block chain of the alliance. The medical standard data processing process is realized based on the alliance block chain, whether the medical standard data are issued depends on the total number of medical visits, the matching rate and the duration of joining the alliance block chain, fed back by at least three medical institutions in the alliance block chain based on the medical standard data, therefore, the method provided by the application guarantees the participation degree of the medical institutions in the process of formulating the medical standard data, all the medical institutions can achieve consensus on the medical standard data, and the process of formulating the medical standard data is traceable and not modifiable in the alliance block chain, so that the formulating result of the final medical standard data is more public and transparent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic network architecture diagram of a medical standard data formulating system according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a medical standard data processing method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating another method for processing medical standard data according to an embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating another method for processing medical standard data according to an embodiment of the present application;
FIG. 5 is a schematic flow chart of a decision-making incentive model provided by an embodiment of the present application;
FIG. 6 is a functional block diagram of a medical standard data processing device according to an embodiment of the present disclosure;
fig. 7 is a schematic diagram of a block link point device according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it should be noted that if the terms "upper", "lower", etc. are used for indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings or the orientation or positional relationship which is usually arranged when the product of the application is used, the description is only for convenience of describing the application and simplifying the description, but the indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation and operation, and thus, cannot be understood as the limitation of the application.
Furthermore, the terms "first," "second," and the like in the description and in the claims, as well as in the drawings, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the features of the embodiments of the present application may be combined with each other without conflict.
In order to implement formulation of medical standard data, the participation degree of a plurality of medical institutions in the process of formulation of the medical standard data can be improved through the alliance block chain, so that the medical standard data can reach consensus. Before describing the medical standard data processing method provided by the embodiment of the present application, the embodiment of the present application may explain a network architecture thereof. Fig. 1 is a schematic diagram of a network architecture of a medical standard data formulating system according to an embodiment of the present application, and as shown in fig. 1, the medical standard data formulating system may include: a plurality of medical institutions and a blockchain network 120, which can directly communicate with each other for interaction, the plurality of medical institutions may include, for example: a plurality of individual medical institutions 110, alliance medical institutions 130, medical authorities 140, and medical associations 150, and the blockchain network may be, for example, a federation blockchain, and includes: each blockchain node device may be, for example, a server or a computer device, and the method for processing the medical standard data provided by the embodiment of the present application may be any blockchain node device in a federation blockchain.
A plurality of medical institutions may be pre-joined to the blockchain network, i.e., there is a communication connection with any blockchain link point device in the blockchain network. Each medical institution may have previously applied for joining a federation blockchain based on a Certificate issued by the Certificate Authority (CA) directly to the medical institution. The authenticity of the medical institutions is ensured due to the credibility of the CA certificate, so that the authenticity of each medical institution joining the block chain of the alliance is ensured, and the identity of the medical institution can be quickly identified and added into the block chain of the alliance without providing a large amount of paper documents for certification when the medical institution joins the block chain of the alliance.
The medical standard data processing method provided by the embodiments of the present application is explained in detail by specific examples with reference to the drawings as follows. The medical standard data processing method provided by the embodiment of the application can be implemented by pre-installing: and (3) deciding block link point equipment of an excitation model or detection software, and realizing by running an algorithm or software. The block-link point device may be, for example, a server or a terminal, which may be a user computer. Fig. 2 is a schematic flow chart of a medical standard data processing method according to an embodiment of the present application. As shown in fig. 2, the method includes:
s101, receiving medical standard data uploaded by a first medical institution.
The first medical facility may be the medical facility that initiated the medical standards data preparation procedure, which may be any of a plurality of medical facilities. The medical standard data may be medical standard data prepared by the first medical institution based on historical medical service data of the first medical institution, or medical standard data obtained by expanding a preset medical standard based on historical medical service data of the first medical institution, for example, fields such as a standard name, a standard code, an expansion attribute and the like may be expanded based on the preset medical standard. The medical normative data may refer to a normative data item in the medical business, or a medical data dictionary, which may also be referred to as medical master data, or normative master data. For example, the first medical institution may expand the preset medical standard based on the historical medical service data based on the first medical institution to obtain the medical standard data.
Under the condition that the first medical institution acquires the medical standard data, the medical standard data can be uploaded to the alliance blockchain based on the blockchain channel, so that any blockchain node device in the alliance blockchain can receive the uploaded medical standard data.
And S102, transmitting the medical standard data to at least three medical institutions in the plurality of medical institutions.
The blockchain node device may select at least three medical institutions from the plurality of medical institutions in the alliance medical institution and transmit the medical standard data to the selected at least three medical institutions, in case of receiving the medical standard data uploaded by the first medical institution. The at least three medical institutions may be medical institutions participating in standard establishment in a plurality of medical institutions, or may be some or all of the plurality of medical institutions.
S103, receiving the visit index information sent by at least three medical institutions within a preset time period.
Specifically, after the at least three medical institutions receive the medical standard data sent by the block link point device, the block link point device uploads the medical treatment index information of the medical institutions within the preset time period, so that the block link point device can receive the medical treatment index information sent by the at least three medical institutions within the preset time period. The preset time period may be, for example, a preset unit time period, such as 1 year. Wherein the encounter index information may include a unique index of visits by a plurality of encounter units. The plurality of treatment units may include, for example: outpatient department and residential department. The unique index for each visit unit may be, for example, an index obtained by performing a hash (hash) algorithm by each medical institution based on the name of the subject of each visit unit, the time of the visit, the date of birth, the department of the visit, and the diagnosis information.
And S104, calculating the total number of the treatment according to the treatment index information.
After receiving the visit index information sent by each medical institution, the blockchain node equipment can perform information interaction with the medical official institution to check the correctness of each visit index information. For example, the medical institution a uploads the visit index information a ', and the block link point device interacts with the medical official institution through the visit index information to verify the correctness of the visit index information a'.
And the equipment at the block chain node point can calculate the total number of the treatment according to the received checking result of each piece of treatment index information.
And S105, receiving the matching rates of the medical standard data sent by at least three medical institutions.
Wherein the at least three medical institutions comprise: the system comprises a first medical institution and at least two second medical institutions, wherein the second medical institution is any medical institution in the alliance blockchain except the first medical institution which transmits medical standard data.
Since the blockchain node device transmits the medical standard data uploaded by the first medical institution to at least three of the plurality of medical institutions, each of the at least three medical institutions performs matching mapping of the medical standard data on existing data in the medical institution through a specific tool in each medical institution, so as to obtain a matching rate of the specific medical standard data, for example, the a medical institution may perform matching mapping on a check report type in the existing data and a detection report type in the medical standard data, the a medical institution performs matching on the detection report type in the medical standard data and a dictionary item in a detection system of the medical institution with respect to a detection report by using a similarity calculation method, so as to obtain a first matching rate, then, the blockchain node device authenticates the first matching rate provided by the a medical institution, specifically, by performing matching on the detection report type in the medical standard data and service medical data of the a medical institution, so as to obtain a second matching rate, and compares the first matching rate with the second matching rate, selects a minimum value as a matching rate of the matching mechanism, and finally obtains a final matching rate of the medical standard data, which is 70%, and the final matching rate of the medical institution is obtained as a matching rate of the blockchain node device.
And S106, calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting a preset decision excitation model according to the total number of the medical visits, the matching rate of the medical standard data and the time length of the at least three medical institutions participating in the block chain of the alliance.
Specifically, the block link point device in the alliance block chain receives the total number of medical visits of each medical institution in at least three medical institutions, the matching rate of medical standard data and the duration of participation in the alliance block chain through the steps, wherein the duration of participation in the alliance block chain can be directly obtained by the block link node device aiming at the duration of the medical institution joining the alliance block chain, a preset decision excitation model is adopted aiming at the data, the decision values of each medical institution in at least three medical institutions aiming at the medical standard data are respectively calculated, and the decision values of each medical institution aiming at the medical standard data are accumulated to obtain the decision values of at least three medical institutions aiming at the medical standard data.
And S107, if the decision value of the medical standard data meets the preset condition, releasing the medical standard data to all medical institutions participating in the block chain of the alliance.
And further determining whether the medical standard data meets a preset condition according to the decision values of the at least three medical institutions for the medical standard data obtained in the step S106, where the preset condition may be set to be greater than or equal to 1, and if the decision values of the at least three medical institutions for the medical standard data meet the preset condition, the federation block chain may issue the medical standard data to all the medical institutions participating in the federation block chain.
In summary, the present application provides a medical standard data processing method, including: receiving medical standard data uploaded by a first medical institution; transmitting medical standard data to at least three medical institutions of the plurality of medical institutions; receiving clinic index information sent by at least three medical institutions within a preset time period; calculating the total number of the treatment according to the treatment index information; receiving matching rates for medical standard data sent by at least three medical institutions; wherein the at least three medical institutions comprise: a first medical facility and at least two second medical facilities; calculating decision values of at least three medical institutions aiming at the medical standard data by adopting a preset decision excitation model according to the total number of the medical visits, the matching rate of the medical standard data and the time length of at least three medical institutions participating in the block chain of the alliance; and if the decision value of the medical standard data meets the preset condition, issuing the medical standard data to all medical institutions participating in the block chain of the alliance. The medical standard data processing process is realized based on the block chain of the alliance, and whether the medical standard data is issued depends on the total number of the medical treatment visits of at least three medical institutions joining the block chain of the alliance based on feedback of the medical standard data, the matching rate and the time length of joining the block chain of the alliance, so that the participation degree of the medical institutions in the process of formulating the medical standard data is guaranteed, all the medical institutions can achieve consensus on the medical standard data, and the process of formulating the medical standard data is traceable and not modifiable in the block chain of the alliance, so that the formulating result of the final medical standard data is more open and transparent.
On the basis of the medical standard data processing method provided by the above embodiment, the embodiment of the present application also provides another possible implementation example of the medical standard data processing method. Fig. 3 is a schematic flowchart of another medical standard data processing method according to an embodiment of the present application. As shown in fig. 3, before receiving the matching rates for the medical standard data sent by at least three medical institutions in the method, the method further comprises:
s201, receiving modified medical standard data uploaded by at least one of the at least three medical institutions.
In this embodiment of the application, after the block link point device sends the medical standard data to at least three medical institutions, at least one of the at least three medical institutions may match the received medical standard data with medical service data in its own medical institution according to a specific matching result, modify the received medical standard data according to a specific matching result, or add a modification suggestion only for the received medical standard data, and then upload the modified medical standard data to the block link point device in the block chain of the federation, so that the block link point device receives the modified medical standard data uploaded by at least one of the at least three medical institutions.
And S202, sending the modified medical standard data to at least three medical institutions.
The blockchain node device may select at least three medical institutions from the plurality of medical institutions in the federated medical institution upon receiving the modified medical standard data transmitted by the at least three medical institutions, and transmit the modified medical standard data to the selected at least three medical institutions. The at least three medical institutions may be medical institutions participating in standard establishment in a plurality of medical institutions, or may be some or all of the plurality of medical institutions.
And S203, calculating decision values of the at least three medical institutions for the modified medical standard data by adopting a preset decision excitation model according to the total number of the medical visits, the matching rate of the modified medical standard data and the duration of the at least three medical institutions participating in the block chain of the alliance.
Specifically, the decision values of the at least three medical institutions for the modified medical standard data are calculated, similar to the step S106, the block link point device calculates the decision value of each medical institution of the at least three medical institutions for the modified medical standard data according to the total number of visits of the at least three medical institutions, the matching rate of the modified medical standard data, and the time length of the at least three medical institutions participating in the block chain of the federation according to the preset decision excitation model, and performs an accumulation operation on the decision values of each medical institution for the modified medical standard data to obtain the decision values of the at least three medical institutions for the modified medical standard data.
And S204, if the decision value of the modified medical standard data meets the preset condition, releasing the modified medical standard data to all medical institutions participating in the block chain of the alliance.
And judging whether the modified medical standard data meets a preset condition according to the decision values of the at least three medical institutions for the modified medical standard data obtained in the step S203, where the preset condition may be set to be greater than or equal to 1, and if the decision values of the at least three medical institutions for the modified medical standard data meet the preset condition, the federation blockchain may issue the medical standard data to all the medical institutions participating in the federation blockchain.
In the method provided by the embodiment of the application, the block link point device calculates the decision values of at least three medical institutions according to the modified medical standard data if at least one of the at least three medical institutions modifies the received medical standard data, so as to judge whether to issue the modified medical standard data.
On the basis of the medical standard data processing method provided by the above embodiment, the embodiment of the present application also provides another possible implementation example of the medical standard data processing method. Fig. 4 is a schematic flow chart of another medical standard data processing method according to an embodiment of the present application. As shown in fig. 4, before calculating the decision values of at least three medical institutions for the medical standard data by using a preset decision incentive model according to the total number of visits, the matching rate of the medical standard data, and the time length of at least three medical institutions participating in the block chain of the alliance, the method further includes:
s301, an approval request for the medical standard data initiated by any one of at least three medical institutions is received.
In this embodiment of the application, when no medical institution of the at least three medical institutions modifies the medical standard data, that is, the at least three medical institutions consider that the medical standard data can be issued, an approval request is initiated by any one of the at least three medical institutions to the blockchain node device for the medical standard data, so that the blockchain node device can receive the approval request initiated by any one of the at least three medical institutions.
S302, an approval request is sent to other medical institutions except any one of the at least three medical institutions.
When the block link point equipment receives an approval request initiated by any medical institution, the block link point equipment sends the approval request to other medical institutions except any medical institution in at least three medical institutions.
And S303, receiving the approval results sent by other medical institutions.
Specifically, after receiving an approval request sent by the block chain node device, other medical institutions may select whether to participate in approval, if so, the medical institutions may be instructed to approve issuing of medical standard data, then, a message participating in approval is sent to the block chain node device, and if not, the message participating in approval is not sent to the block chain node device, so that the block chain node device may receive the message participating in approval sent by each medical institution, and thereby, the approval results sent by other medical institutions may be obtained through statistics.
The above calculating, according to the total number of medical visits, the matching rate of the medical standard data, and the duration of the at least three medical institutions participating in the block chain of the alliance, the decision values of the at least three medical institutions for the medical standard data by using a preset decision excitation model, further includes:
s304, calculating a decision value of the target medical institution for the medical standard data by adopting a preset decision excitation model according to the total number of the medical visits of the target medical institution, the matching rate of the target medical institution for the medical standard data and the duration of the target medical institution participating in the block chain of the alliance, wherein the total number of the medical visits of the target medical institution is approved to be issued according to the approval result.
After receiving the approval results sent by other medical institutions, the blockchain node equipment adopts a preset decision excitation model to calculate the decision value of the blockchain node equipment for the medical standard data aiming at the medical institution agreeing to participate in the approval, namely the target medical institution.
According to the method, other medical institutions in the block chain of the alliance can participate in the examination and approval link aiming at the medical standard data through the process of applying for examination and approval, so that the block chain node point equipment calculates the decision value of the target medical institution participating in the examination and approval aiming at the medical standard data, and judges whether the medical standard data can be issued or not.
The embodiment of the application provides a medical standard data processing method. In the method, according to the total number of medical visits, the matching rate of medical standard data and the duration of at least three medical institutions participating in a block chain of a alliance, a preset decision excitation model is adopted to calculate the decision values of the at least three medical institutions for the medical standard data, and the method further comprises the following steps:
and calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting a preset decision incentive model according to the total number of the medical visits, the matching rate of the medical standard data, the time length of the at least three medical institutions participating in the block chain of the alliance and the authority parameters of the at least three medical institutions.
Wherein the authoritative parameter is determined according to whether at least three medical institutions are official medical institutions or unofficial medical institutions, for example, if one of the at least three medical institutions is an official medical institution, the official medical institution may be a health care commission, the authoritative parameter of the medical institution may be set to 0.7, i.e., S =0.7, and if the medical institution is an unofficial medical institution, the authoritative parameter of the medical institution may be set to 0.3, i.e., S =0.3.
The preset decision-making excitation model is a multi-dimensional decision-making excitation model, and specifically includes a first decision-making algorithm and a second decision-making algorithm, and fig. 5 is a schematic flow diagram of the decision-making excitation model provided in the embodiment of the present application. As shown in fig. 5, the decision incentive model provided in the present application is described with reference to fig. 5, and the calculating the decision values of at least three medical institutions for the medical standard data by using a preset decision incentive model according to the total number of visits, the matching rate of the medical standard data, the duration of participation of at least three medical institutions in the block chain of the federation, and the authority parameters of at least three medical institutions includes:
s401, calculating scale parameters of at least three medical institutions according to the total number of the visits and the preset maximum number of the visits.
In the embodiment of the present application, the block link counting device may receive the total number of visits sent by at least three medical institutions and a preset maximum number of visits, where the maximum number of visits is the sum of the total number of visits of at least three medical institutions, and the calculation of the scale parameter of each of the at least three medical institutions by the block link counting device may be represented by F, and if the total number of visits of one of the at least three medical institutions is T and the preset maximum number of visits is T (max), the scale parameter of the medical institution may be represented by F = T/T (max).
S402, calculating the participation alliance parameters of at least three medical institutions according to the participation alliance block chain duration of at least three medical institutions and the participation alliance block chain duration.
The block chain node device may obtain, according to the record of each medical institution participating in the alliance block chain, a duration of each medical institution participating in the alliance block chain in the at least three medical institutions, and obtain, according to the record of the duration in which the alliance block chain is established, a duration of the alliance block chain, so as to calculate an alliance participation parameter of each medical institution in the at least three medical institutions, which may be represented by Y, and then Y = the duration of participation in the alliance block chain/the duration of participation in the alliance block chain.
And S403, calculating a decision value of each medical institution by adopting a first decision algorithm according to the scale parameter of each medical institution in the at least three medical institutions, the participation alliance parameter of each medical institution, the matching rate of each medical institution for the medical standard data and the authority parameter of each medical institution.
Optionally, the first decision algorithm is a weighted average algorithm, and the decision value of each medical institution is calculated by adopting a weighted sum algorithm according to a scale parameter of each medical institution in the at least three medical institutions, a participation alliance parameter of each medical institution, a matching rate of each medical institution for the medical standard data, an authority parameter of each medical institution and a preset weight of each parameter.
Wherein the first decision algorithm can be represented by R, then R is:
wherein F represents the scale parameter of each medical institution in at least three medical institutions, S represents the participation alliance parameter of each medical institution, C represents the matching rate of each medical institution for the medical standard data, Y represents the authority parameter of each medical institution, w 1 Preset weight, w corresponding to scale parameter representing each medical institution 2 Showing each medical institutionPreset weight, w corresponding to participation alliance parameter 3 Preset weight w representing the matching rate of each medical institution for the medical standard data 4 And representing the preset weight corresponding to the authority parameter of each medical institution.
To facilitate understanding of the first decision algorithm in the decision incentive model, if the total number of visits of one of the at least three medical institutions is 100, i.e. T =100, and the preset maximum number of visits is 1000, i.e. T (max) =1000, the scale parameter of the medical institution is F = T/T (max) =100/1000=0.1, if the medical institution is an unofficial medical institution, the authoritative parameter of the medical institution is S =0.3, if the matching rate of the medical institution for the medical standard data is 50%, C =50% =0.5, if the duration of the participation of the medical institution in the federation blockchain is 2 years, and the duration of the completion of the federation blockchain is 3 years, the participation parameter of the medical institution is Y =2/3, and the corresponding preset weights are respectively set to w 1 Is 40% w 2 Is 20% w 3 Is 20% w 4 20%, the decision value of the medical institution is:
s404, calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting a second decision algorithm according to the decision values of the at least three medical institutions.
Optionally, the second decision algorithm is an accumulation algorithm, and the decision values of the at least three medical institutions for the medical standard data are calculated by adopting the accumulation algorithm according to the decision values of the at least three medical institutions.
Through the steps, the decision value of each medical institution in at least three medical institutions for the medical standard data is calculated, wherein each medical institution can be represented by N, N belongs to (1, \8230; N), and then the decision value of each medical institution for the medical standard data can be represented by R (N), and R (N) belongs to (R (1), \8230; R (N)), and then the second decision algorithm can be represented as sigma R (N). An exemplary decision value for the medical standard data for three medical institutions is Σ R (3) = R (1) + R (2) + R (3), if the decision values for the medical standard data for three medical institutions are R (1), R (2), R (3), respectively.
And then, calculating decision values of at least three medical institutions for the medical standard data through the second decision algorithm, and judging whether the medical standard data is issued or not according to preset conditions, wherein the preset conditions can be expressed that sigma R (N) is more than or equal to 1. Assuming that the decision value of the a medical institution for the medical standard data is 0.332, the sum of the decision values of the other medical institutions for the medical standard data needs to be greater than or equal to 1-0.332=0.668, and the medical standard data can be issued.
According to the method provided by the application, the decision incentive model mainly comprises a first decision algorithm for carrying out weighted calculation on the decision values of all medical institutions in at least three medical institutions, and then the decision values of all medical institutions are accumulated through a second decision algorithm to obtain the final decision values of at least three medical institutions for the medical standard data, so that whether the medical standard data are issued or not is judged, the issuing result of the medical standard data is more fair through the decision incentive model, and the reasonable decision incentive mechanism can ensure that all medical institutions can actively participate in standard making of the medical standard data.
As follows, the model training apparatus, the image classification apparatus, the computer device, and the computer-readable storage medium provided in any of the above embodiments of the present application are explained in detail, and the specific implementation process and the resulting technical effects are the same as those of the corresponding method embodiments described above, and for a brief description, the corresponding contents in the method embodiments may be referred to for the non-mentioned parts in this embodiment.
Fig. 6 is a functional module schematic diagram of a medical standard data processing apparatus according to an embodiment of the present application. As shown in fig. 6, the medical standard data processing apparatus 200 includes: a receiving module 210, a sending module 220 and a processing module 230;
the receiving module 210 is configured to receive medical standard data uploaded by a first medical institution;
a transmitting module 220, configured to transmit medical standard data to at least three medical institutions of the multiple medical institutions;
the receiving module 210 is further configured to receive visit index information sent by at least three medical institutions within a preset time period;
the processing module 230 is configured to calculate the total number of visits according to the visit index information;
the receiving module 210 is further configured to receive matching rates for the medical standard data sent by at least three medical institutions; wherein the at least three medical institutions include: a first medical facility and at least two second medical facilities;
the processing module 230 is further configured to calculate decision values of the at least three medical institutions for the medical standard data by using a preset decision excitation model according to the total number of the visits, the matching rate of the medical standard data, and the durations of the at least three medical institutions participating in the block chain of the alliance;
the sending module 220 is further configured to issue the medical standard data to all medical institutions participating in the federation block chain if the decision value of the medical standard data meets a preset condition.
In an alternative embodiment, the receiving module 210 is further configured to receive modified medical standard data uploaded by at least one of the at least three medical institutions;
a sending module 220, further configured to send the modified medical standard data to at least three medical institutions;
the processing module 230 is further configured to calculate, according to the total number of the visits, the matching rate of the modified medical standard data, and the durations of the at least three medical institutions participating in the block chain of the alliance, decision values of the at least three medical institutions for the modified medical standard data by using a preset decision excitation model;
the sending module 220 is further configured to issue the modified medical standard data to all medical institutions participating in the federation block chain if the decision value of the modified medical standard data meets a preset condition.
In an optional embodiment, the receiving module 210 is further configured to receive an approval request for the medical standard data, which is initiated by any one of at least three medical institutions;
the sending module 220 is further configured to send an approval request to other medical institutions except any one of the at least three medical institutions;
the receiving module 210 is further configured to receive an approval result sent by another medical institution;
the processing module 230 is further configured to calculate a decision value of the target medical institution for the medical standard data by using a preset decision incentive model according to the total number of the visits of the target medical institutions agreeing to be issued, the matching rate of the target medical institutions for the medical standard data, and the duration of participation of the target medical institutions in the block chain of the alliance according to the approval result.
In an alternative embodiment, the processing module 230 is further configured to calculate decision values of the at least three medical institutions for the medical standard data by using a preset decision incentive model according to the total number of visits, the matching rate of the medical standard data, the duration of the at least three medical institutions participating in the block chain of alliances, and authority parameters of the at least three medical institutions.
In an alternative embodiment, the predetermined decision incentive model comprises: a first decision algorithm, and a second decision algorithm; the processing module 230 is further configured to calculate scale parameters of at least three medical institutions according to the total number of visits and a preset maximum number of visits; calculating participation alliance parameters of at least three medical institutions according to the duration of participation of the at least three medical institutions in the alliance block chain and the establishment duration of the alliance block chain; calculating a decision value of each medical institution by adopting a first decision algorithm according to a scale parameter of each medical institution in at least three medical institutions, a participation alliance parameter of each medical institution, a matching rate of each medical institution for medical standard data and an authority parameter of each medical institution; and calculating the decision values of the at least three medical institutions aiming at the medical standard data by adopting a second decision algorithm according to the decision values of the at least three medical institutions.
In an alternative embodiment, the first decision algorithm is a weighted average algorithm, and the processing module 230 is further configured to calculate the decision value of each medical institution by using a weighted sum algorithm according to a scale parameter of each medical institution in the at least three medical institutions, a participation alliance parameter of each medical institution, a matching rate of each medical institution for the medical standard data, an authority parameter of each medical institution, and a preset weight of each parameter.
In an alternative embodiment, the second decision algorithm is an accumulation algorithm, and the processing module 230 is further configured to calculate the decision values of the at least three medical institutions for the medical standard data by using the accumulation algorithm according to the decision values of the at least three medical institutions.
The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors, or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 7 is a schematic diagram of a block link point device provided in an embodiment of the present application, which may be used for medical standard data processing. As shown in fig. 7, the block link point apparatus 300 includes: processor 310, storage medium 320, bus 330.
Optionally, the present application further provides a storage medium 320, where the storage medium 320 stores a computer program, and the computer program is executed by a processor to perform the steps of the above method embodiments. The specific implementation and technical effects are similar, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and shall be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A medical standard data processing method is applied to any blockchain node device in a block chain of a federation, and the method comprises the following steps:
receiving medical standard data uploaded by a first medical institution;
transmitting the medical standard data to at least three medical institutions of a plurality of medical institutions;
receiving the visit index information sent by the at least three medical institutions within a preset time period;
calculating the total number of the visits according to the visit index information;
receiving matching rates for the medical criteria data sent by the at least three medical institutions; wherein the at least three medical institutions include: the first medical facility and at least two second medical facilities;
calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting a preset decision excitation model according to the total number of the visits, the matching rate of the medical standard data and the time length of the at least three medical institutions participating in the block chain of the alliance;
and if the decision value of the medical standard data meets a preset condition, issuing the medical standard data to all medical institutions participating in the block chain of the alliance.
2. The method of claim 1, wherein prior to receiving the match rates for the medical criteria data sent by the at least three medical institutions, the method further comprises:
receiving modified medical standard data uploaded by at least one medical institution of the at least three medical institutions;
transmitting the modified medical standard data to the at least three medical institutions;
calculating decision values of the at least three medical institutions aiming at the modified medical standard data by adopting the preset decision excitation model according to the total number of the visits, the matching rate of the modified medical standard data and the time length of the at least three medical institutions participating in the alliance block chain;
and if the decision value of the modified medical standard data meets the preset condition, issuing the modified medical standard data to all medical institutions participating in the block chain of the alliance.
3. The method of claim 1, wherein before calculating the decision values of the at least three medical institutions for the medical standard data according to the total number of visits, the matching rate of the medical standard data, and the time duration of the at least three medical institutions participating in the block chain of the federation using a preset decision incentive model, the method further comprises:
receiving an approval request for the medical standard data initiated by any one of the at least three medical institutions;
sending the approval request to other medical institutions except the any one medical institution in the at least three medical institutions;
receiving the approval results sent by the other medical institutions;
calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting a preset decision incentive model according to the total number of the visits, the matching rate of the medical standard data and the time length of the at least three medical institutions participating in the block chain of the alliance, wherein the decision values comprise:
and calculating a decision value of the target medical institution aiming at the medical standard data by adopting the preset decision incentive model according to the total number of the medical visits of the target medical institution agreeing to be issued, the matching rate of the target medical institution aiming at the medical standard data and the time length of the target medical institution participating in the block chain of the alliance according to the approval result.
4. The method of claim 1, wherein calculating the decision values of the at least three medical institutions for the medical standard data according to the total number of visits, the matching rate of the medical standard data, and the time duration of the at least three medical institutions participating in the block chain of the alliance by using a preset decision incentive model comprises:
and calculating decision values of the at least three medical institutions aiming at the medical standard data by adopting the preset decision incentive model according to the total number of the visits, the matching rate of the medical standard data, the time length of the at least three medical institutions participating in the alliance block chain and the authority parameters of the at least three medical institutions.
5. The method of claim 4, wherein the predetermined decision-making incentive model comprises: a first decision algorithm, and a second decision algorithm;
calculating decision values of the at least three medical institutions for the medical standard data by adopting the preset decision incentive model according to the total number of the visits, the matching rate of the medical standard data, the duration of the at least three medical institutions participating in the block chain of alliances, and authority parameters of the at least three medical institutions, wherein the decision values comprise:
calculating scale parameters of the at least three medical institutions according to the total number of the visits and a preset maximum number of the visits;
calculating participation alliance parameters of the at least three medical institutions according to the duration of participation of the at least three medical institutions in the alliance block chain and the establishment duration of the alliance block chain;
calculating a decision value of each medical institution by adopting the first decision algorithm according to a scale parameter of each medical institution in the at least three medical institutions, a participation alliance parameter of each medical institution, a matching rate of each medical institution for the medical standard data and an authority parameter of each medical institution;
and calculating the decision values of the at least three medical institutions aiming at the medical standard data by adopting the second decision algorithm according to the decision values of the at least three medical institutions.
6. The method according to claim 5, wherein the first decision algorithm is a weighted average algorithm, and the calculating the decision value of each medical institution according to the scale parameter of each medical institution in the at least three medical institutions, the participation alliance parameter of each medical institution, the matching rate of each medical institution for the medical standard data, and the authority parameter of each medical institution by using the first decision algorithm comprises:
and calculating a decision value of each medical institution by adopting the weighted sum algorithm according to the scale parameter of each medical institution in the at least three medical institutions, the participation alliance parameter of each medical institution, the matching rate of each medical institution for the medical standard data, the authoritative parameter of each medical institution and the preset weight of each parameter.
7. The method of claim 5, wherein the second decision algorithm is an accumulation algorithm, and the calculating the decision values of the at least three medical institutions for the medical standard data using the second decision algorithm according to the decision values of the at least three medical institutions comprises:
and calculating the decision values of the at least three medical institutions aiming at the medical standard data by adopting the accumulation algorithm according to the decision values of the at least three medical institutions.
8. A medical standards data processing apparatus, comprising: the device comprises a receiving module, a sending module and a processing module;
the receiving module is used for receiving medical standard data uploaded by a first medical institution;
the transmitting module is used for transmitting the medical standard data to at least three medical institutions in a plurality of medical institutions;
the receiving module is further used for receiving the clinic index information sent by the at least three medical institutions within a preset time period;
the processing module is used for calculating the total number of the treatment visits according to the treatment visit index information;
the receiving module is further configured to receive matching rates for the medical standard data sent by the at least three medical institutions; wherein the at least three medical institutions comprise: the first medical facility and at least two second medical facilities;
the processing module is further configured to calculate decision values of the at least three medical institutions for the medical standard data by using a preset decision excitation model according to the total number of the visits, the matching rate of the medical standard data, and the duration of participation of the at least three medical institutions in a block chain of a federation;
the sending module is further configured to issue the medical standard data to all medical institutions participating in the alliance block chain if the decision value of the medical standard data meets a preset condition.
9. A block link point apparatus, comprising: a processor, a storage medium and a bus, the storage medium storing program instructions executable by the processor, the processor and the storage medium communicating via the bus when the block link node device is operated, the processor executing the program instructions to perform the steps of the medical standard data processing method according to any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of a medical standards data processing method as claimed in any one of claims 1 to 7.
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