CN112116512A - Intelligent type gratuitous blood donation service system based on Internet + - Google Patents
Intelligent type gratuitous blood donation service system based on Internet + Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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Abstract
The invention discloses an internet + -based intelligent type uncompensated blood-donation service system, which comprises a contact layer, an application layer, an analysis layer and a database layer, wherein the contact layer is used for establishing an external interface of the uncompensated blood-donation service system; the application layer is used for establishing a blood system management portal to realize blood donor navigation and subdivision on blood donors; the analysis layer is used for constructing a data processing framework, comprises a behavior analysis module and an operation monitoring module, and combines the requirements of data mining, behavior analysis, operation monitoring and the like; the database layer is used to provide a basis for the analysis data for the contact layer, the application layer and the analysis layer. According to the scheme, through big data analysis, risk factors of the uncompensated blood donor are discriminated, prevented and controlled, dynamic change analysis is carried out on blood inventory period, fine service is implemented to enhance the viscosity of the blood donor, outstanding contradictions such as stage shortage or partial type of the blood inventory are effectively solved, reference is provided for optimization and continuous improvement of the uncompensated blood donation service process, and the uncompensated blood donation work efficiency is improved.
Description
Technical Field
The invention relates to the field of uncompensated blood donation information service, in particular to a method based on the Internet+The intelligent type service system for blood donation without compensation.
Background
Blood is an indispensable resource, cannot be artificially synthesized and cannot be replaced, is closely related to the life of people, and clinical blood comes from uncompensated donation. With continuous expansion of information scale and continuous development of mobile internet technology, the traditional uncompensated blood-donation service system cannot effectively support large-scale uncompensated blood-donation data storage and calculation, lacks effective analysis and mining on data, cannot accurately and intelligently classify and allocate uncompensated blood-donation service appeal, cannot quickly provide efficient and accurate service for uncompensated blood donors, and cannot achieve the purpose of accurate reservation and recruitment by analyzing and subdividing blood-donation population through big data.
With the development of the socioeconomic level and the continuous improvement of medical technology, the demand of clinical blood is in a continuously increasing situation. Whether a blood donor is satisfied with the blood donation process directly influences the willingness of the blood donor again, and the blood collection institution is taken as a careless transmitter of a blood donor, so that the continuous improvement work for discovering the needs of the blood donor in time is urgently needed, and the enthusiasm of the blood donor to participate in the blood donation periodically is stimulated, so that the blood safety is ensured. This patent proposes a based on internet+The intelligent uncompensated blood-donation service system improves the social awareness rate of the uncompensated blood-donation public service and has important significance for the healthy and sustainable development of the uncompensated blood-donation public service.
Disclosure of Invention
The invention provides a method based on the Internet+The intelligent type uncompensated blood donation service system applies big data, cloud computing and artificial intelligence technology to uncompensated blood donation service, so that the system supports big data storage and computation and has the advantages ofThe method has the functions of intelligently classifying, automatically distributing the demand of blood donation for no compensation, finding the optimal historical appeal solution recommendation and the like.
The invention is realized by adopting the following technical scheme: an intelligent type gratuitous blood-donation service system based on the Internet comprises a contact layer, an application layer, an analysis layer and a database layer;
the contact layer is used for establishing an external interface of the uncompensated blood donation service system, and comprises a call center module, a WeChat platform module, an Internet platform module, a hospital LIS system docking module and the like; the application layer is used for establishing a blood system management portal and comprises a blood donor navigation module, a blood donor subdivision module and the like; the analysis layer is used for constructing a data processing framework, comprises a behavior analysis module, an operation monitoring module and the like, and meets the requirements of various real-time online and batch offline processing applications by combining data mining, behavior analysis and operation monitoring; the database layer is used for providing an analysis data base for the contact layer, the application layer and the analysis layer.
Furthermore, the call center module is used for voice communication and seat management, a server is constructed by using the CTI technology, a compensation blood donation service system is accessed, and information inquiry, fax sending, fax requesting and manual service transferring operations are performed through voice navigation;
the WeChat platform module is used for accessing the uncompensated blood donation service system through the WeChat platform to perform operations of inquiring uncompensated blood donation information, reserving blood donation, blood cost reimbursement and point management;
the Internet platform module logs in and accesses the uncompensated blood donation service system in a webpage form, performs the operations of reserving blood donation and blood fee reimbursement through verification information, and learns the dynamic and science popularization uncompensated blood donation knowledge of the blood supply collection institution by downloading related data;
the hospital LIS system docking module is used for docking with a hospital LIS system, identifying hospitalization information of a blood donor through identity card information, determining that the blood donor is the relative of the blood donor according to the identity information of the blood donor in the blood using request and the personnel relationship icon by the blood collecting institution BMIS system, and sending available blood volume information of the relative of the blood donor to a requesting party according to blood using rules of unpaid blood donation and the blood donor information. The blood collection mechanism is convenient to accurately care the blood donor suffering from the disease, and systematic collection and mining analysis of blood information are realized.
Furthermore, the blood donor navigation module accurately obtains the position information of the blood donor by means of a position technology, a nearby blood donor site is selected for the blood donor navigation, when a blood station needs to contact a special blood type blood donor in an emergency, the positions of a plurality of candidates are obtained in batches through the positions, the candidates with the shortest distance to the long distance are generated by sorting the positions of the blood donors from the blood demand site, and the candidate with the closest distance is selected to contact the blood donor.
Further, the blood donor subdivision module subdivides blood donation groups according to basic information of gender, age, occupation, region and blood donation time of the uncompensated blood donors to establish blood donation teams of different levels, and pushes the uncompensated blood donation recruitment short messages in a directional mode to carry out accurate recruitment; by analyzing the blood donation time interval and the blood donation preference of the blood donor, the frequency and the physical health condition of the blood donor participating in the uncompensated blood donation are analyzed according to the integral and the age condition of the blood donor, and the telephone recruitment in the emergency time interval is carried out.
Further, when the donor has unfavorable blood donation conditions, a mask is set by the operation monitoring module, and the mask comprises the following steps of delaying blood donation and stopping blood donation:
if the donor has a transaminase high, vaccination or epidemic history and temporarily cannot participate in the gratuitous blood donation, the system is set to delay the blood donation, and the delay time is set according to specific conditions.
If the donor is a condition where it is not advisable to donate blood for disease reasons and the condition will persist for a long time, the donation is set to be stopped, thereby circumventing the potential risk of a gratuitous donor.
Furthermore, the behavior analysis module is used for analyzing the dynamic change of the blood inventory period, the behavior analysis module analyzes according to the blood sending conditions of the blood collection and supply mechanism in different periods, and reasonably recruits blood donors and stores blood inventory according to the trend analysis and the trend analysis by the analysis module according to the high-incidence trends of different disease types and different periods, so that the blood using change trend and the blood donor trend of the blood donors are fully known, the blood inventory can be reasonably estimated, the blood donors can be recruited in order, the planning and the order of the blood collection work are kept, and the outstanding contradictions such as the stage shortage or the partial type of the blood inventory can be solved.
Further, the behavior analysis module includes an index evaluation module and a hotspot appeal processing module:
the index evaluation module is used for constructing an evaluation index system for scoring the uncompensated blood donation service, wherein the evaluation index system comprises parameters of demand capacity, return capacity, on-date return rate and satisfaction degree of blood donors, corresponding weights are respectively set for all indexes, and the indexes are calculated by using a weighted summation algorithm to serve as a comprehensive score of the uncompensated blood donation service and serve as a reference basis for continuously improving the uncompensated blood donation overall process service and a decision basis for long-term development of a blood collection and supply institution;
the hotspot appeal processing module extracts key words in the uncompensated blood donation historical appeal within a certain period of time by using a semantic analysis algorithm and counts word frequency; then, calculating key requirements reflected by the keywords by using a clustering algorithm; analyzing the heat degree of each demand as a hot topic concerned by citizens on uncompensated blood donation in the near term; the requirements associated with the uncompensated blood donation hot events are sorted from high to low according to the user satisfaction, and the processing scheme with the former user satisfaction is taken out to serve as the optimal historical solution of the hot events, so that a reference basis is provided for the processing of similar uncompensated blood donation requirements in the future, and a decision basis is provided for the long-term development of blood collection institutions.
Further, the database layer is used for storing blood sampling data, business logic and archive data;
the blood sampling data comprises real-time blood bank data, blood donor data, process data and statistical data;
the business data comprises system data, office data, interface data, network data and platform data;
the business logic comprises blood data processing, equipment management, data mining prediction, office business and statistical reports;
the archive data comprises an acquisition blood supply archive, a blood resource library, a personnel information library and a business information library.
Compared with the prior art, the invention has the advantages and positive effects that:
the service system provided by the scheme can accurately grasp the diversified and personalized requirements of blood donors, provides convenient services in aspects of gratuitous blood-donation policy consultation, suggestion and complaint and the like for social public, and accurately responds to the concern of citizens;
in addition, the system can closely contact with blood donors for real-time interaction, reasonably guide the blood donors to donate blood timely, implement fine service, enhance the viscosity of the blood donors, and effectively solve the outstanding contradictions of staged shortage or partial type of blood inventory and the like;
a big data platform is used for developing a blood donor data mining system, blood donor groups are subdivided by combining big data analysis, low-risk safe blood donors are accurately recruited and reserved, blood donor teams are greatly fixed, data support is provided for scientific decisions such as uncompensated blood donation service flow optimization and continuous improvement, and uncompensated blood donation work efficiency is effectively improved.
Drawings
Fig. 1 is a schematic block diagram of a service system according to an embodiment of the present invention.
Detailed Description
In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples.
Based on internet+The intelligent type uncompensated blood-donation service system comprises a contact layer, an application layer, an analysis layer and a database layer, wherein the contact layer is used for establishing an external interface of the uncompensated blood-donation service system and comprises a call center module, a WeChat platform module, an internet platform module, a hospital LIS system docking module and the like; the application layer is used for establishing a blood system management portal and comprises a blood donor navigation module and a blood donor subdivision module; the analysis layer is used for constructing a data processing framework, comprises a behavior analysis module and an operation monitoring module, and meets the requirements of various real-time online and batch offline processing applications by combining the requirements of data mining, behavior analysis, operation monitoring and the like; what is needed isThe database layer is used for providing analysis data bases for the contact layer, the application layer and the analysis layer.
According to the scheme, through big data analysis, risk factors of uncompensated blood donors are discriminated, prevented and controlled, dynamic change analysis of blood inventory periods is carried out, fine service is implemented to enhance the viscosity of the blood donors, and outstanding contradictions such as stage shortage or partial type of the blood inventory are effectively solved; and data support is provided for the optimization and continuous improvement of the uncompensated blood donation service process and scientific decision, and the working efficiency of the uncompensated blood donation is improved.
The risk factor screening is to identify the risk of the blood donor according to the blood detection result of the blood donor after primary screening or blood donation. If the condition that the donor is not suitable for blood donation is prompted, a shielding module is set through operation, the shielding is divided into two conditions of blood donation delaying and blood donation stopping, if the donor is only high in transaminase, vaccinates or has a history of sojourneys in epidemic areas and the like, the donor cannot participate in uncompensated blood donation temporarily, the system is set to delay blood donation, and the delay time is set according to the specific condition of the donor. If the donor is a condition such as hepatitis B that is not suitable for blood donation and the condition is expected to exist for a long time, the blood donation is stopped. Thereby avoiding the potential risk of a gratuitous blood donor.
When the dynamic change of the blood inventory period is analyzed, the behavior analysis module analyzes according to the blood sending conditions of the blood collection and supply mechanism in different periods, different disease types and different periods have high incidence trends, and the blood collection and supply mechanism can reasonably recruit blood donors and store blood inventory according to the trend analysis. The change trend of blood and the trend of blood donation of the blood donor are fully known, the reserved blood donor can be recruited in order, and the outstanding contradiction of the shortage of blood stocks in stages or partial type and the like can be solved.
Specifically, the method comprises the following steps:
1. the contact layer takes a spring cloud micro-service as a core as a container of each service, the spring cloud is a whole set of framework for realizing the micro-service based on spring boot, and has components for configuration management, service discovery, circuit breakers, intelligent routing, micro-proxy, control bus, cluster state management and the like required by micro-service development, the contact layer is used for realizing information receiving and pushing combined with diversified media such as microblogs, micro-letters, websites and the like, and a blood donor can input corresponding confirmation information through the contact layer (micro-letters, telephone voice and the like) to inquire the following contents: navigation of blood donation sites, reservation of blood donation, reimbursement of blood fees, point management and exchange, application of electronic uncompensated blood donation certificates, honor incentive and exterior application, inquiry of uncompensated blood donation detection information, accumulated blood donation amount, whether blood is sent to clinic and the like. Wherein:
the call center module is used for voice communication and seat management, namely, a server is constructed by dialing a compensatory blood-donation service hotline and applying CTI technology to access a compensatory blood-donation service system, and operations such as information inquiry, fax sending, fax requesting, manual service transferring and the like are carried out through voice navigation; the system records the operation of the blood donor, submits the final information of the voice service to the telephone operator and records the voice at the same time when manual service is switched, and provides two modes for the operation of asking for fax: online faxes (faxes sent directly to the fax machine where the donor is talking directly) and offline faxes (faxes sent to the designated fax machine); in addition, fax, voice, data and other information can be sent to the blood donor through Email, and the Email sent by the blood donor is also distributed to the telephone operator for processing through a gratuitous blood-donating service system;
for example, when a user dials a call center, after the call center is connected, a voice switch of the call center accesses a gratuitous blood donation service system and automatically plays a pre-recorded voice navigation; when the user selects the query service (query test result and personal blood donation information) according to 1, the gratuitous blood donation service system returns voice prompt information; a user prompts by voice, inputs a keyword (when inquiring a check result, an 18-bit or 15-bit identity card number needs to be input), inputs the keyword again after the keyword is correct (when inquiring the check result, the last 8 bits of a blood donation code are input), selects and confirms, then the uncompensated blood donation service system calls a CTI server to apply for a token, returns the token after the calling is successful, carries out token authentication, feeds back an authentication state, calls a CTI query service (when inquiring the check result, the query check result service is called), the CTI server calls a query SQL, the service database returns a query result, the CTI server returns a service result, the IVR server (the uncompensated blood donation service system) analyzes and returns IVR voice; the user listens to the query service result (when the query check result is obtained, if the query result is obtained, the user listens to the information of the check result, if the query result is not obtained, the user listens to 'your check result is not detected yet, … …'); the user can press the navigation voice prompt again to perform other operations, and can hang up to finish the access.
The WeChat platform module is used for installing WeChat application through mobile equipment (mobile phones, pads and the like) or logging in WeChat in a webpage form, accessing the uncompensated blood donation service system through the WeChat platform and performing operations such as uncompensated blood donation information query, blood donation reservation, blood charge reimbursement, point management and the like; the Internet platform module is based on a portal website, logs in and accesses the uncompensated blood donation service system in a webpage form, performs operations such as appointment blood donation, blood charge reimbursement and the like through verification information, and an official website can download related data and understand the dynamic state of a blood supply institution and the uncompensated blood donation knowledge of science popularization; the hospital LIS system docking module can dock with the hospital LIS system, can discern information such as blood donator is in hospital through ID card information, is convenient for adopt blood supply mechanism accurate care blood donator sick, realizes systematic collection and excavation analysis of blood information, in time masters the blood demand, realizes effective regulation and control, provides warm and fragrant sensation formula service for blood donator.
The common users can inquire the real-time blood demand information of the blood station through the client facing to the common users on the Internet, register blood types, set personal detailed information and blood donation intention states, and the blood station can actively contact the other side according to the setting condition of the blood donation intention of the users; the blood donator user can perform operations such as blood donation footprint inquiry, electronic blood donation card application, point exchange, blood charge reimbursement and the like by inputting information such as name, identity card, mobile phone number and the like.
2. The application layer provides a Session framework, a WeChat framework, an APP framework, a Web framework and an SDK (RPC framework) for rapidly developing an application program of the gratuitous blood-donation service, wherein the Session framework provides a Session control program for a user; the WeChat framework provides WeChat public numbers and WeChat development programs for users; the APP framework provides an IOS and Android development program for a user; the Web framework provides the ReatJS (HTML5) developer for the user; SDK (RPC framework) provides internet of things, instant messaging (real-time video, voice), Openfire (real-time collaboration server), open platform, Flash 2D interaction, Unity 3D (2D/3D virtual reality interaction) client.
As shown in fig. 1:
the application layer establishes a blood system management portal which comprises a blood donor navigation module, a blood donor subdivision module and the like.
The blood donor navigation module accurately obtains position information of blood donors by means of a position technology, selects nearby blood donor sites for blood donor navigation, provides convenient service, obtains positions of a plurality of candidates in batches through the positions when a blood station needs to contact special blood type blood donors urgently, generates candidate sorting with the distance from short to long for the positions of the blood donors away from a blood demand site, and selects the candidate with the closest distance to contact blood donors.
The blood donor subdivision module subdivides blood donation groups according to basic information such as gender, age, occupation, region, blood donation time and the like of the uncompensated blood donors to establish blood donation teams of different levels, and directionally pushes uncompensated blood donation recruitment short information to carry out accurate recruitment; and can analyze the donor's blood donation period and preference (which souvenir is interested in, when to donate blood, when to answer the phone, etc.); the method comprises the steps of confirming the preference of a blood donor for different souvenirs by the condition that the blood donor exchanges souvenirs in the credit mall, analyzing the frequency and the physical health condition of the blood donor participating in uncompensated blood donation according to the credit condition and age of the blood donor, and carrying out telephone recruitment in an emergency period. According to the occupation of the blood donor and the time period of participating in the uncompensated blood donation, the blood collection institution staff can conveniently select when the blood donor is recruited by a telephone, select the time of answering the telephone of the blood donor conveniently, and recommend the time and the place of participating in the uncompensated blood donation conveniently;
3. the analysis layer comprises Storm (real-time distributed computing framework), Spark (offline distributed computing framework), Solr (distributed search engine), Phoneix (SQL framework of Hbase), Flume (distributed log management) and Kafaka (distributed message queue); distributed search is carried out by adopting Solr (distributed search engine) in the analysis layer, real-time query is carried out by adopting Phoneix (SQL frame of Hbase), and reliable and highly available massive log collection, aggregation and transmission are carried out by using Flume (distributed log management); kafaka (distributed message queue) constructs a data processing framework for processing massive logs, user behaviors, website application statistics and the like, an analysis layer combines the requirements of data mining, behavior analysis, operation monitoring and the like, and can meet the requirements of various real-time online and batch offline processing applications.
The behavior analysis module comprises an index evaluation module, a hotspot appeal processing module and the like;
the index evaluation module takes parameters such as the appeal undertaking amount, the return amount, the on-time return rate, the blood donor satisfaction degree and the like as evaluation indexes by constructing a set of blood collection institution appeal processing evaluation index system, sets corresponding weights for the indexes respectively, calculates by using a weighted summation algorithm, and takes the evaluation indexes as a comprehensive score of the uncompensated blood donation service as a reference basis for continuously improving the uncompensated blood donation overall process service and a decision basis for long-term development of a blood collection institution; blood donation habits and the like are recorded into the system, an analysis report is formed in the system according to the blood donation period, the satisfaction degree and the like of a blood donor, the blood collection service condition is comprehensively evaluated, and reference is provided for continuous improvement service.
The hotspot appeal processing module extracts key words in the uncompensated blood donation historical appeal in a certain period of time by using a semantic analysis algorithm, counts word frequency, and takes top N as a hotword in the time period; then, calculating key requirements reflected by the keywords by using a clustering and classifying algorithm; finally, calculating the heat of each demand by using a heat calculation formula, and taking out topN as a hot topic concerned by the recent citizens on the uncompensated blood donation; the requirements associated with the uncompensated blood donation hot events are sorted from high to low according to the user satisfaction, and the processing scheme with the former user satisfaction is taken out to serve as the optimal historical solution of the hot events, so that a reference basis is provided for the processing of similar uncompensated blood donation requirements in the future, and a decision basis is provided for the long-term development of blood collection institutions.
The method mainly feeds back the telephone answering situation, and citizens have different attention hotspots in different periods. Such as: when the policy is implemented, citizens pay attention to the hot spots on policy implementation rules, incoming call consultation conditions are analyzed, and the incoming call consultation conditions can be better publicized and have stronger pertinence.
Management personnel at all levels can use the analysis layer to comprehensively inquire the existing blood donor data, the blood donation trend analysis of different groups and the request information according to the own authority. Meanwhile, a statistical report can be generated according to a preset report mode, and risk factors of the uncompensated blood donor are discriminated, prevented and controlled through big data analysis; and (3) analyzing the dynamic change of the blood inventory period, directionally pushing the uncompensated blood donation recruitment short message, supplementing the blood inventory in a short time and ensuring the sufficiency and stability of the blood inventory.
And the system automatically sends satisfaction investigation short messages to the uncompensated blood donors, the blood donors reply corresponding numbers to evaluate the uncompensated blood donation process, and specially-assigned persons are arranged to return calls according to different evaluations of the blood donors, so that the requirements of the blood donors are mastered in time, and the service quality is improved.
4. The database layer adopts relational database clusters Mycat, HBASE (mapping frame), distributed cache Redis and FastDFS for classified storage; the blood sampling system is used for storing blood sampling data, business logic, file data and the like, wherein the blood sampling data comprises real-time blood bank data, blood donor data, process data and statistical data; the business data comprises system data, office data, interface data, network data and platform data; the business logic comprises blood data processing, equipment management, data mining prediction, office business and statistical reports; the archive data comprises an acquisition blood supply archive, a blood resource library, a personnel information library and a business information library. Storing the general data object by adopting a relational database cluster Mycat; for mass data objects: such as data collected by a sensor, user behavior logs and the like, and the HBASE (mapping framework) is adopted for storage; storing the frequently accessed data by adopting a distributed cache Redis; and storing large files such as pictures, video files and the like by adopting FastDFS. The data backup adopts public cloud and private cloud, the server layer and the application layer mainly adopt the public cloud, and the data storage layer and the data analysis layer adopt the private cloud.
The scheme applies a network data mining information means to meet the requirements of blood donors as guidance, enhances the viscosity of the blood donors and greatly fixes the blood donor team; accurately estimating blood stock, deeply promoting reserved collection and ensuring high efficiency and order of blood collection; specific crowds are selected as key crowds advocating appointment blood donation and carrying out accurate recruitment, accurate recruitment is effectively implemented, and the outstanding problems of seasonal blood inventory tension and the like are avoided; based on multiple media such as BMIS, a combined official portal site, official WeChat and the like, a real-time interaction way of blood donors such as hotline telephones, official portal sites, palm APP and the like and a blood collection mechanism is developed; the vertical, horizontal, deep and wide all-dimensional blood collection service platform is set up, has the capability of quick response, can simultaneously accept a large number of customer demands, avoids long-time queuing of customers, achieves the purpose of internet multi-channel access, widens the blood donor request channel, solves the diversified problems of blood donor reservation, blood charge reimbursement, point management, honor excitation and the like in a one-stop way, meets the multi-level requirements of blood donors, reduces the labor consumption and improves the working efficiency.
The uncompensated blood donation service system provided by the invention realizes internet multi-channel access through technologies such as big data, cloud computing and artificial intelligence, and improves a blood donor request channel; through unified data management of blood supply collection institutions, the standard blood donation process is standardized, various national laws and regulations and systems are better publicized, and the social influence of the blood supply collection institutions is improved.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes, without departing from the technical spirit of the present invention, and any simple modification, equivalent change and change made to the above embodiments according to the technical spirit of the present invention still belong to the protection scope of the technical spirit of the present invention. .
Claims (8)
1. An intelligent internet + -based uncompensated blood-donation service system is characterized by comprising a contact layer, an application layer, an analysis layer and a database layer;
the contact layer is used for establishing an external interface of the uncompensated blood donation service system and comprises a call center module, a WeChat platform module, an internet platform module and a hospital LIS system docking module; the application layer is used for establishing a blood system management portal to realize blood donor navigation and subdivision on blood donors; the analysis layer is used for constructing a data processing framework, comprises a behavior analysis module and an operation monitoring module, and meets the requirements of various real-time online and batch offline processing applications by combining data mining, behavior analysis and operation monitoring; the database layer is used for providing an analysis data base for the contact layer, the application layer and the analysis layer.
2. The internet + -based intelligent gratuitous blood-donation service system according to claim 1, further comprising: the call center module is used for voice communication and seat management, a server is constructed by using CTI technology, a compensation blood donation service system is accessed, and information inquiry, fax sending, fax requesting and manual service switching operations are carried out through voice navigation;
the WeChat platform module is used for accessing the uncompensated blood donation service system through the WeChat platform to perform operations of inquiring uncompensated blood donation information, reserving blood donation, blood cost reimbursement and point management;
the Internet platform module logs in and accesses the uncompensated blood donation service system in a webpage form, performs the operations of reserving blood donation and blood fee reimbursement through verification information, and learns the dynamic and uncompensated blood donation popular science knowledge of the blood supply institution by downloading related data;
the hospital LIS system docking module is used for docking with the hospital LIS system, identifies hospitalization information of blood donors through identity card information, is convenient for blood collection mechanisms to accurately concern sick blood donors, and achieves systematic collection, mining and analysis of blood information.
3. The internet-based as recited in claim 1+The intelligent type service system for blood donation without compensation is characterized in that: the application layer comprises a blood donor navigation module which accurately obtains the position information of the blood donor by means of position technology and is used for providing donationsThe method comprises the steps that a blood donor navigates and selects a nearby blood donation place, when a blood station needs to contact blood donors with special blood types in an emergency, the positions of a plurality of blood donors are obtained in batches through the positions, the blood donors with the distances from the near to the far are sorted by generating the positions of the blood donors from the blood demand place, and the candidate with the closest distance is selected to contact blood donation.
4. The internet-based as recited in claim 1+The intelligent type service system for blood donation without compensation is characterized in that: the application layer further comprises a blood donor subdivision module, the blood donor subdivision module subdivides blood donators according to basic information of gender, age, occupation, region and blood donation time of uncompensated blood donors to establish blood donation teams of different levels, and the uncompensated blood donation recruitment short messages are directionally pushed to carry out accurate recruitment; by analyzing the blood donation time interval and the blood donation preference of the blood donor, the frequency and the physical health condition of the blood donor participating in the uncompensated blood donation are analyzed according to the integral and the age condition of the blood donor, and the telephone recruitment in the emergency time interval is carried out.
5. The internet-based as recited in claim 1+The intelligent type service system for blood donation without compensation is characterized in that: when there is an unfavorable blood donation situation for the donor, a mask is set by the operation monitoring module, the mask including delaying blood donation and stopping blood donation:
if the donor has a transaminase high, vaccination or epidemic history, and temporarily cannot participate in the uncompensated blood donation, the system is set to delay the blood donation;
if the donor is a condition where it is not advisable to donate blood for disease reasons and the condition will persist for a long time, the donation is set to be stopped, thereby circumventing the potential risk of a gratuitous donor.
6. The internet + -based intelligent gratuitous blood-donation service system according to claim 1, further comprising: the behavior analysis module is used for analyzing the dynamic change of the blood inventory period, analyzing according to the blood sending conditions of different blood collecting and supplying mechanisms in different periods through the behavior analysis module, and reasonably recruiting blood donors and storing blood inventory according to the trend analysis through the analysis module according to the high-incidence trends of different disease types and different time periods.
7. The internet-based as recited in claim 1+The intelligent type service system for blood donation without compensation is characterized in that: the behavior analysis module comprises an index evaluation module and a hotspot appeal processing module:
the index evaluation module is used for constructing an evaluation index system for scoring the uncompensated blood donation service, wherein the evaluation index system comprises parameters of appeal undertaking amount, return amount, on-date return rate and satisfaction degree of blood donors, corresponding weights are respectively set for each index, and the indexes are calculated by using a weighted summation algorithm to serve as the comprehensive score of the uncompensated blood donation service;
the hotspot appeal processing module extracts key words in the uncompensated blood donation historical appeal within a certain period of time by using a semantic analysis algorithm and counts word frequency; then, calculating key requirements reflected by the keywords by using a clustering algorithm; analyzing the heat degree of each demand as a hot topic concerned by citizens on uncompensated blood donation in the near term; and sorting the requirements associated with the gratuitous blood donation hot event from high to low according to the user satisfaction, and taking out the appeal processing scheme with the top user satisfaction as the optimal historical solution of the hot event.
8. The internet-based as recited in claim 1+The intelligent type service system for blood donation without compensation is characterized in that: the database layer is used for storing blood sampling data, business logic and archive data;
the blood sampling data comprises real-time blood bank data, blood donor data, process data and statistical data;
the business data comprises system data, office data, interface data, network data and platform data;
the business logic comprises blood data processing, equipment management, data mining prediction, office business and statistical reports;
the archive data comprises an acquisition blood supply archive, a blood resource library, a personnel information library and a business information library.
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