CN113223678B - Medical material guarantee scheduling system - Google Patents
Medical material guarantee scheduling system Download PDFInfo
- Publication number
- CN113223678B CN113223678B CN202110293590.1A CN202110293590A CN113223678B CN 113223678 B CN113223678 B CN 113223678B CN 202110293590 A CN202110293590 A CN 202110293590A CN 113223678 B CN113223678 B CN 113223678B
- Authority
- CN
- China
- Prior art keywords
- module
- scheduling
- data
- medical material
- demand
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000012567 medical material Substances 0.000 title claims abstract description 123
- 239000000463 material Substances 0.000 claims abstract description 107
- 238000004519 manufacturing process Methods 0.000 claims abstract description 82
- 238000012544 monitoring process Methods 0.000 claims abstract description 77
- 238000003860 storage Methods 0.000 claims abstract description 61
- 238000004458 analytical method Methods 0.000 claims abstract description 41
- 238000005457 optimization Methods 0.000 claims abstract description 25
- 239000002994 raw material Substances 0.000 claims abstract description 15
- 238000010276 construction Methods 0.000 claims abstract description 8
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 238000013329 compounding Methods 0.000 claims abstract description 7
- 150000001875 compounds Chemical class 0.000 claims abstract description 7
- 238000007726 management method Methods 0.000 claims description 58
- 238000000034 method Methods 0.000 claims description 36
- 238000011161 development Methods 0.000 claims description 24
- 230000002265 prevention Effects 0.000 claims description 20
- 238000013439 planning Methods 0.000 claims description 19
- 230000008569 process Effects 0.000 claims description 16
- 238000012384 transportation and delivery Methods 0.000 claims description 14
- 238000009826 distribution Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 10
- 230000004044 response Effects 0.000 claims description 10
- 238000013500 data storage Methods 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 8
- 238000012795 verification Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 230000000007 visual effect Effects 0.000 claims description 7
- 238000005096 rolling process Methods 0.000 claims description 5
- 238000013079 data visualisation Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 claims description 4
- 230000002708 enhancing effect Effects 0.000 claims description 4
- 230000000977 initiatory effect Effects 0.000 claims description 4
- 238000012821 model calculation Methods 0.000 claims description 4
- 230000009467 reduction Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 238000002360 preparation method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 abstract description 8
- 230000005180 public health Effects 0.000 abstract description 6
- 230000006870 function Effects 0.000 description 16
- 238000005516 engineering process Methods 0.000 description 8
- 230000007246 mechanism Effects 0.000 description 8
- 238000013461 design Methods 0.000 description 7
- 239000003814 drug Substances 0.000 description 5
- 238000003032 molecular docking Methods 0.000 description 5
- 230000011664 signaling Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000012550 audit Methods 0.000 description 3
- 238000004140 cleaning Methods 0.000 description 3
- 238000013523 data management Methods 0.000 description 3
- 238000007418 data mining Methods 0.000 description 3
- 230000008676 import Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013499 data model Methods 0.000 description 2
- 230000007123 defense Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000007306 turnover Effects 0.000 description 2
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000009960 carding Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000013506 data mapping Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000000586 desensitisation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000001376 precipitating effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000013179 statistical model Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a medical material guarantee scheduling system, which comprises a standard specification construction module, a video conference module and a control module, wherein the standard specification construction module is used for establishing an information standard, and the video conference module is used for communicating a remote real-time video conference with voice; the statistics report module is used for constructing a unified key medical material guarantee scheduling data acquisition channel, and the execution monitoring module is used for checking the abnormal change of the data filled in the compound enterprise through telephone rechecking, on-site personnel compounding and data analysis comparison; the system comprises an analysis scheduling module, a decision support module and a control module, wherein the analysis scheduling module is used for detecting supply capacity and the decision support module is used for monitoring, analyzing and predicting the state important material raw material supply, production, storage, transportation, logistics and receiving guarantee scheduling conditions: the industrial base can be found out, and the production and supply data base of key medical materials is tamped; the emergency capability is improved, and the material demands of sudden public health events are responded quickly; the decision support is strengthened, and the important medical material reserve layout optimization is accelerated.
Description
Technical Field
The invention relates to the technical field of resource management data processing, in particular to a medical material guarantee scheduling system.
Background
In the field of medical material guarantee systems and methods, overall planning in the aspects of data acquisition, analysis, utilization and decision-making related to important medical materials is lacking. However, no detailed file for the coordination of key material guarantee work is formed, a high-efficiency coordinated cross-department working mechanism and a process method are not formed, a unified information support platform is lacking, the key medical material information at present also has the problems of multi-head management and layer-by-layer acquisition, different departments divide according to business lines, the respectively established information systems are dispersed and not completely opened, and various data such as requirements, production, transportation, turnover and supply are dispersed in different departments and different units, so that the coordination sharing is not realized, the resultant force cannot be effectively formed, and the sudden public health events are comprehensively handled.
Secondly, the data acquisition means is single, the statistical mode is backward, and the data is scattered, disordered and slow. At present, in the important medical material guarantee supply work required by epidemic situation prevention and control, data are collected mainly by traditional modes such as calling, questionnaire filling and the like, and the report is manually summarized layer by layer, so that the data are always collected and tidied for a long time, the flexibility is low, and the data reporting is not timely and decision time is delayed. Even there is a place to reflect the rescue and reproduction work of the organization, more than ten tables of different departments and different levels need to be filled, and the pressure is high.
Thirdly, all links of production, transportation, zhou Zhuaibao supply and the like of important medical materials lack unified data standards, and are unfavorable for forming work coordination. The major medical material products required by epidemic situation prevention and control have stronger professionals, different standard types and statistical apertures exist in different links such as production, transportation, turnover and supply, and the like, are not effectively unified, and the data processing and the cooperative process have difficulty, so that complete data chains, logistics chains and fund chains from medicine certificate approval, production qualification verification, raw material supply, production, storage, transportation, allocation and the like cannot be formed, and scientific decisions related to major medical material guarantee and scheduling are difficult to effectively support.
Fourthly, the analysis pre-judging capability is insufficient to meet the requirements of sudden epidemic situation prevention and control work, and particularly, after the whole chain data are converged, very high requirements are put forward on the epidemic prevention and protection large data processing and analysis capability, the situation studying and judging capability based on the large data and the overall decision making capability. However, the current country does not establish such analysis decision platform tools, does not form analysis, judgment and scheduling capability based on data, cannot make timely pre-judgment and scientific decisions on epidemic duration, epidemic situation influence, important material guarantee requirements and the like, and is not beneficial to the development of epidemic prevention and supply work.
For the problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
Aiming at the technical problems in the related art, the invention provides a medical material guarantee scheduling system, which is used for collecting, analyzing, utilizing and deciding various information data required by the overall planning for coping with epidemic situation, opening up relevant data of each department and each unit, making the unification of data standards of each link, greatly promoting the unification and fusion of the data of the bottom layer, enhancing the research and development and the reserve of a big data decision analysis model in the aspects of balanced supply and demand scheduling, risk early warning prejudgement, expanded production and conversion layout planning and the like, and providing powerful support for the guarantee supply of various sudden public health events.
In order to achieve the technical purpose, the technical scheme of the invention is realized as follows: a medical material assurance scheduling system, comprising:
the standard specification construction module is used for establishing an information standard, establishing a big data storage and calculation technical specification, establishing a big data storage resource pool, establishing a big data visualization technical specification, and establishing an expansibility technical specification by utilizing graphics, image processing, computer vision and a user interface, performing visual interpretation on data through displaying three-dimensional, surface, attribute and animation, establishing a performance technical specification, establishing a safety technical specification;
The video conference module is used for communicating the remote real-time video conference with voice;
the statistics report module is used for constructing a unified key medical material guarantee scheduling data acquisition channel, monitoring enterprise material production data, enhancing enterprise material production supervision capability, and carrying out comprehensive query and total analysis on basic data according to the requirements of business scenes;
the execution monitoring module is used for checking whether a compound enterprise starts a reworking process or reports abnormal data changes through telephone rechecking, field personnel compounding and data analysis comparison; the method comprises the steps of filling production information such as capacity, yield and the like of materials through a micro-signaling applet, uploading, receiving, storing and transferring orders, handing over a record list, signing for a central medical storage commodity, monitoring the material dispatching of key enterprises along with image information of material delivery, shipment and receiving links such as a cargo loading and the like, checking the material information by platform operators, managing a management mechanism and a user, analyzing a statistical report and managing personal information, initiating a material dispatching instruction, checking information, checking materials, managing regional warehouse material dispatching, regional warehouse material inventory and personal information, wherein the execution monitoring module comprises a work supervision module and a whole process supervision module;
The analysis scheduling module is used for detecting supply capacity, carrying out regional summarization on daily enterprise report information, carrying out operation monitoring analysis and regional comparison for mainly monitoring the product supply capacity, carrying out model calculation and demand verification according to various region demand report data, constructing a demand optimization balance table, verifying actual demand conditions, clearly developing a scheduling work target, determining demand gaps and gap changes through transverse and longitudinal comparison, compiling a current scheduling target, providing a scheduling enterprise list, further preparing a total product storage amount plan, optimizing optimal nodes for product storage, giving a scheduling plan, a delivery enterprise and a destination, automatically preparing an optimized logistics path through a path optimization algorithm, forming corresponding task lists for each stage of information departments, enterprises and storage management department task execution departments, distributing corresponding work tasks, clearly specifying specific work requirements, feeding back actual demands, production and storage results on time according to the task requirements, and providing corresponding proving materials by the background, and carrying out correlation matching and inspection, wherein the analysis scheduling module comprises a supply capacity detection module, a demand comprehensive optimization module, a scheduling balance module, a storage plan receiving and a task feedback module;
The decision support module is used for monitoring, analyzing and pre-judging the state important material raw material supply, production, storage, transportation, logistics and receiving guarantee scheduling conditions and comprises a material guarantee scheduling module, an information comprehensive reporting module, a risk early warning pre-judging module, a production expansion investment planning module and a material storage layout module.
Further, the comprehensive query and summary analysis of the basic data comprises query analysis, statistics summary, report output, report management and policy notification.
Further, the work supervision module is used for checking whether the compound enterprise starts to carry out the reworking and fills the abnormal change of the data through telephone rechecking, field personnel compounding and data analysis comparison; the production information of the capacity and the yield of the materials is filled through a micro-signaling applet, and the image information of the material delivery, shipment and receiving links of the materials such as the collection and allocation order, the handover record order, the central medicine storage commodity signing order, the accompanied list, the loading of the goods and the like is uploaded, so that the material allocation and the transportation of the heavy enterprises are monitored.
Further, the whole process supervision module comprises a key material scheduling operation management sub-module, a key material scheduling management applet sub-module and a key material area warehouse scheduling management sub-module.
Further, the supply capacity detection module comprises a capacity monitoring module, a yield monitoring module, an inventory monitoring module and a raw material monitoring module.
Further, the allocation balance planning module comprises a supply and demand measuring module, a rolling demand planning management module, a demand response map module and a scheduling instruction issuing module.
Further, the material guarantee scheduling module is used for displaying the real-time demand, real-time productivity, production and supply scheduling conditions of various important medical materials in each region through a map.
Further, the information comprehensive presentation module comprises a to-be-presented quick-viewing module, a guarantee condition module, a working dynamic module and a front line fax module, and is used for comprehensively presenting epidemic situation development situation of all places, notifying key event of the development of the epidemic situation of all places, comprehensively presenting epidemic situation prevention and control situation of all places, notifying key event of the prevention and control of the epidemic situation of all places, presenting the progress and the dynamic of the epidemic situation prevention and control work of the national, department and the industrial and telecommunication departments of all places in real time, and comprehensively presenting the first line situation of the prevention and control of the epidemic situation of all places.
Further, the risk early warning pre-judging module is used for pre-judging the important medical material supply and demand gap conditions, comprehensively presenting, calling epidemic situation development and important medical material supply and demand gap related data, setting a gap threshold value, and issuing real-time early warning for the situation exceeding the threshold value.
Further, the expanded production investment plan module is used for planning and monitoring the expanded production investment plan of the important medical materials; the preparation of the major medical material investment plan comprises the steps of calling relevant data of epidemic situation development and major medical material supply and demand gaps, analyzing supply gaps, evaluating the expanded production possibility, the expanded capacity and the expanded production investment requirement, and arranging an expanded production investment plan; the monitoring of the execution of the important medical material expanded production investment plan comprises the following steps: the method comprises the steps of calling the expansion capacity progress of related enterprises and the issuing condition of related investment plans, and presenting the overall condition, execution ratio and execution effect of expansion investment execution; the supply and reserve layout module comprises: planning and monitoring key medical material reserve distribution conditions; the key medical material reserve layout planning comprises the steps of calling epidemic situation development and key medical material supply and demand gap related data, taking account of two requirements of key medical material demand response in each place and reduction of collection, storage, transportation and cost, compiling a key medical material reserve layout optimization model algorithm, and measuring and calculating national layouts of various key medical material reserves according to supply and demand instant information; the key medical material reserve distribution condition monitoring comprises the steps of calling data related to the collection, storage and transportation of key medical materials, and displaying the key medical material reserve distribution condition and the actual collection and storage condition through a time axis, a digital card and a line diagram.
The invention has the beneficial effects that: 1. the method can be used for finding out the industrial base number, tamping the production and supply data base of the key medical materials, realizing the real-time monitoring and effective convergence of the information such as raw material supply, production, transportation, storage, user demand and the like of the key medical materials, precipitating and accumulating the production and supply data information of the key medical materials, and realizing the comprehensive and accurate grasp of the production and supply conditions of the key medical materials in a related manner so as to realize quick and timely response under emergency conditions.
2. The emergency capability is improved, the demand of the emergent public health event material is responded rapidly, the digitization, the flow and the standardization of the key medical material guarantee and dispatch work are formed by an informatization means, the daily monitoring and supervision of the key medical material are enhanced, the characteristics and the evolution rule of the emergent public health event are studied deeply, and a key material demand prejudging mode method based on big data is used for constructing a key medical material guarantee management system and a risk early warning response mechanism.
3. The decision support is enhanced, the development of the optimization of the key medical material reserve layout is accelerated, the current situation of a reserve system of key medical materials is combed, the practical difficulties and problems existing in raw material supply, material transportation and reworking and reproduction are combined, the decision support function of a key medical material guarantee and dispatch platform is exerted, decision reference is provided for the optimization of the reserve layout and the optimization of an industrial structure, and the industrial production and the optimization of the reserve capacity are promoted by digital and informatization means.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a medical material assurance scheduling system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a medical material assurance scheduling system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an architecture of a data resource layer according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the invention, fall within the scope of protection of the invention.
As shown in fig. 1 to 3, a medical material assurance scheduling system according to an embodiment of the present invention includes:
The standard specification construction module is used for establishing an information standard, establishing a big data storage and calculation technical specification, establishing a big data storage resource pool, establishing a big data visualization technical specification, and establishing an expansibility technical specification by utilizing graphics, image processing, computer vision and a user interface, performing visual interpretation on data through displaying three-dimensional, surface, attribute and animation, establishing a performance technical specification, establishing a safety technical specification;
the video conference module is used for communicating the remote real-time video conference with voice;
the statistics report module is used for constructing a unified key medical material guarantee scheduling data acquisition channel, monitoring enterprise material production data, enhancing enterprise material production supervision capability, and carrying out comprehensive query and total analysis on basic data according to the requirements of business scenes;
the execution monitoring module is used for checking whether a compound enterprise starts a reworking process or reports abnormal data changes through telephone rechecking, field personnel compounding and data analysis comparison; the method comprises the steps of filling production information such as capacity, yield and the like of materials through a micro-signaling applet, uploading, receiving, storing and transferring orders, handing over a record list, signing for a central medical storage commodity, monitoring the material dispatching of key enterprises along with image information of material delivery, shipment and receiving links such as a cargo loading and the like, checking the material information by platform operators, managing a management mechanism and a user, analyzing a statistical report and managing personal information, initiating a material dispatching instruction, checking information, checking materials, managing regional warehouse material dispatching, regional warehouse material inventory and personal information, wherein the execution monitoring module comprises a work supervision module and a whole process supervision module;
The analysis scheduling module is used for detecting supply capacity, carrying out regional summarization on daily enterprise report information, carrying out operation monitoring analysis and regional comparison for mainly monitoring the product supply capacity, carrying out model calculation and demand verification according to various region demand report data, constructing a demand optimization balance table, verifying actual demand conditions, clearly developing a scheduling work target, determining demand gaps and gap changes through transverse and longitudinal comparison, compiling a current scheduling target, providing a scheduling enterprise list, further preparing a total product storage amount plan, optimizing optimal nodes for product storage, giving a scheduling plan, a delivery enterprise and a destination, automatically preparing an optimized logistics path through a path optimization algorithm, forming corresponding task lists for each stage of information departments, enterprises and storage management department task execution departments, distributing corresponding work tasks, clearly specifying specific work requirements, feeding back actual demands, production and storage results on time according to the task requirements, and providing corresponding proving materials by the background, and carrying out correlation matching and inspection, wherein the analysis scheduling module comprises a supply capacity detection module, a demand comprehensive optimization module, a scheduling balance module, a storage plan receiving and a task feedback module;
The decision support module is used for monitoring, analyzing and pre-judging the state important material raw material supply, production, storage, transportation, logistics and receiving guarantee scheduling conditions and comprises a material guarantee scheduling module, an information comprehensive reporting module, a risk early warning pre-judging module, a production expansion investment planning module and a material storage layout module.
In one embodiment of the present invention, the comprehensive query and summary analysis of the underlying data includes query analysis, statistical summary, report output, report management, and policy notification.
In one embodiment of the present invention, the work supervision module is configured to check whether the compound enterprise starts a rework and fills in abnormal changes of data through phone review, field personnel compounding and data analysis comparison; the production information of the capacity and the yield of the materials is filled through a micro-signaling applet, and the image information of the material delivery, shipment and receiving links of the materials such as the collection and allocation order, the handover record order, the central medicine storage commodity signing order, the accompanied list, the loading of the goods and the like is uploaded, so that the material allocation and the transportation of the heavy enterprises are monitored.
In a specific embodiment of the present invention, the whole process supervision module includes a key material scheduling operation management sub-module, a key material scheduling management applet sub-module and a key material area warehouse scheduling management sub-module.
In one embodiment of the present invention, the supply capacity detection module includes a capacity monitoring module, a yield monitoring module, an inventory monitoring module, and a raw material monitoring module.
In one embodiment of the present invention, the deployment balancing plan module includes a supply and demand measurement module, a rolling demand plan management module, a demand response map module, and a scheduling instruction issue module.
In a specific embodiment of the present invention, the material guarantee scheduling module is configured to present real-time requirements, real-time capacity, production and supply scheduling conditions of each area for each type of important medical material through a map.
In a specific embodiment of the invention, the information comprehensive presentation module comprises a rapid-viewing module, a guarantee condition module, a working dynamic module and a front line fax module, and is used for comprehensively presenting the development situation of epidemic situation in each place, notifying key events of the development of epidemic situation in each place, comprehensively presenting the prevention and control conditions of epidemic situation in each place, notifying key events of the prevention and control of epidemic situation in each place, and presenting the progress and the dynamic state of the epidemic situation prevention and control work of the national, department and each department of industrial and telecommunication in real time and comprehensively presenting the prevention and control first line conditions of epidemic situation in each place.
In a specific embodiment of the invention, the risk early warning pre-judging module is used for pre-judging the situation of important medical material supply and demand gaps, comprehensively presenting, calling relevant data of epidemic situation development and important medical material supply and demand gaps, setting a gap threshold value, and issuing real-time early warning for the situation exceeding the threshold value.
In a specific embodiment of the present invention, the expanded production investment plan module is configured to schedule an expanded production investment plan of a key medical material and perform monitoring of the expanded production investment plan of the key medical material; the preparation of the major medical material investment plan comprises the steps of calling relevant data of epidemic situation development and major medical material supply and demand gaps, analyzing supply gaps, evaluating the expanded production possibility, the expanded capacity and the expanded production investment requirement, and arranging an expanded production investment plan; the monitoring of the execution of the important medical material expanded production investment plan comprises the following steps: the method comprises the steps of calling the expansion capacity progress of related enterprises and the issuing condition of related investment plans, and presenting the overall condition, execution ratio and execution effect of expansion investment execution; the supply and reserve layout module comprises: planning and monitoring key medical material reserve distribution conditions; the key medical material reserve layout planning comprises the steps of calling epidemic situation development and key medical material supply and demand gap related data, taking account of two requirements of key medical material demand response in each place and reduction of collection, storage, transportation and cost, compiling a key medical material reserve layout optimization model algorithm, and measuring and calculating national layouts of various key medical material reserves according to supply and demand instant information; the key medical material reserve distribution condition monitoring comprises the steps of calling data related to the collection, storage and transportation of key medical materials, and displaying the key medical material reserve distribution condition and the actual collection and storage condition through a time axis, a digital card and a line diagram.
In order to facilitate understanding of the above technical solutions of the present invention, the following describes the above technical solutions of the present invention in detail by a specific usage manner.
A material management scheduling system mainly comprises a key medical material basic data acquisition, data summarization statistics, supply capacity monitoring, comprehensive demand optimization, a balance allocation plan, a material collection and storage plan, allocation task delivery and result feedback, execution process monitoring, decision support and scheduling centers, and a whole set of standardized material guarantee scheduling system is established from data acquisition to result application.
And (3) basic data acquisition: the production, storage and transportation information of key medical material production enterprises are collected and gathered, and the collection forms comprise platform report, APP report, applet report, platform data synchronization, manual report and the like.
Data summarizing and counting: query analysis, statistics summarization, report output, filling management, policy notification and other functions.
Supply capability monitoring: the method mainly carries out productivity monitoring, yield monitoring, inventory monitoring, raw material monitoring and the like on key medical material production enterprises so as to master the conditions of productivity, yield, inventory, raw materials and the like of the production enterprises in real time, and performs various resource management.
And (3) comprehensively optimizing requirements: the method mainly collects the requirements of various places on important medical materials, and adopts a big data algorithm to analyze, audit and the like on the reported requirements.
Preparing a balance plan: analyzing and measuring supply and demand of the country, key areas and key cities, making a rolling demand plan, designing a deployment strategy and responding to demand.
And (3) material collection and storage planning: generating a material collection and storage plan, monitoring and managing material dispatching, providing the material receiving, warehousing, management, dispatching, delivery and other capabilities for a material storage center, and layout design, optimization and the like of the storage center.
And (3) issuing allocation tasks and feeding back results: and (5) delivering tasks of the material allocation plan and feeding back results after implementation.
And (3) performing process monitoring: through video conference monitoring and big data analysis, implementing supervision and overall process monitoring on important medical material guarantee works are realized.
Decision support: based on an optimization algorithm, the conditions of epidemic situation development situation, material supply and demand change and the like are tracked in real time, related plans are formulated in advance, early judgment is made on production and storage of important medical materials, and related works are reasonably arranged. Meanwhile, the functions of comprehensive information presentation, risk early warning and prejudgment, expanded production investment plan, material reserve layout and the like are provided.
And a dispatching center: and a comprehensive dispatching center and a monitoring large screen are established, so that management personnel can conveniently monitor the production, storage, transportation and guarantee dispatching conditions of important medical materials in real time.
The material management scheduling system according to the invention has the specific implementation scheme that:
(1) Standard standardization construction
Establishing an information standard, and standardizing the index range, format, data type definition and classification definition of various data; establishing a big data storage computing technical specification, and storing the data extracted from the data source by adopting HBase, hive, HDFS distributed storage technology, thereby establishing a big data storage resource pool;
establishing a big data visualization technical specification, and performing visual interpretation on data by using graphics, image processing, computer vision and a user interface through displaying three-dimensional, surface, attribute and animation;
establishing a performance technical specification, and normalizing page performance indexes, concurrency indexes, storage indexes, stability and reliability, usability and compatibility;
establishing a safety technical specification, and designing and implementing according to requirements specified by national information safety level protection standards;
and an expansibility technical specification is established, and the system capacity, the processing capacity and the service range are guaranteed in the aspect of functional design, so that the system has good expansibility.
(2) Data resource layer design
The data acquisition layer is used for dividing data sources and channels and acquisition modes; the method is divided into the following seven aspects: firstly, collecting enterprise direct report data through a statistics report system; secondly, interfacing with an in-house business system to acquire enterprise, industry, project and policy data; thirdly, the exchange platform is shared through the part, and the data related to the external commission and local worker departments are converged as required; fourthly, acquiring data such as enterprise equipment operation, monitoring camera shooting and the like through the internet of things technology; fifthly, acquiring relevant data of enterprises and products as required through the Internet; sixthly, the method cooperates with enterprises such as electronic commerce, logistics and the like to acquire data such as product sales, logistics and the like; and seventhly, constructing corresponding templates to import historical data and newly-added data aiming at the data which are partially acquired manually.
The data acquisition mode is that the enterprise information directly reports: the statistical report system performs report design according to different information collection requirements, and enterprises can perform online data filling through PCs and WeChat applets;
sharing exchange: the method comprises the steps of docking with a national and local exchange platform through a part sharing exchange platform, and acquiring data of each part of commission and local telecommunication departments as required;
and (3) Internet collection: aiming at partial public source website data, specific data-oriented network extraction is realized through analysis, transition and automatic verification;
External system API access: the external system data is called in real time through the agreed interface unit and the frequency provided by the interface data; offline data batch import: and carrying out batch import of offline text data by using a warehouse-in template tool.
The data access layer is integrated with the data of the related system, adopts a WebService or HTTP interface mode in technical realization, and supports XML, XBRL, XLS, TXT and other data exchange standards.
Establishing a cross-department collaboration interface with a national institute joint defense joint control mechanism member, a national medicine group, a red cross meeting, an electronic commerce enterprise, a logistics enterprise, a financial institution and the like; in addition, establishing data access modes such as files, databases, service interfaces and the like; aiming at the manually-arranged Excel format industrial basic data, developing a general warehouse-in template tool to finish automatic warehouse-in and cleaning of the data; for professional database data resources with relatively fixed formats, automatically analyzing the data and warehousing; the Internet data acquisition is to realize targeted, industrial and accurate data acquisition by utilizing an Internet search technology, and classify data according to design rules and screening standards to form required data.
The data storage layer is used for performing metadata entry, standardization processing and data grading based on metadata driving; the topic library mainly comprises a metadata library, a product library, an enterprise library, an index library, a personnel library, a geographic library, an image library, a picture library, a document library, a plan library, an event library and a policy library. The design of a basic data model of a system platform usually adopts a top-down method, firstly, business objects in a requirement related range are classified from a high-summary concept level, namely theme zones are divided, and an entity and relation diagram is designed for each theme zone or sub-library.
The data management layer is used for data management and consists of multiple aspects such as data standard management, data quality management, metadata management, data model management and the like. The platform tracks the data standard in the database construction, grasps the data change trend from the data mapping view angle, grasps the flow direction and the relation between the data through the end-to-end data blood edge analysis, carries out cataloging and category navigation searching on the data through the subject category, continuously monitors and improves the data quality, and realizes the omnibearing data safety management.
And the data sharing exchange comprises an information resource carding directory subsystem and a data exchange subsystem.
The information resource combing directory subsystem is used for defining resource descriptions such as resource classification, resource responsibility party, resource name, resource description, update period, sharing mode and the like according to the steps of information demand acquisition, current information environment investigation, information demand analysis, top layer modeling design and the like.
The resource catalog is cataloged by the resource attribute, the confidential attribute, the sharing attribute and the hierarchical attribute.
The resource catalogue is managed and maintained, and specific functions include: data cataloging submission, data auditing, data warehouse entry release, resource catalog retrieval, catalog retrieval and classified navigation. The resource directory system can be linked with the data resource exchange subsystem below to trigger the exchange of the data resources released on the resource directory, so that the three types of exchange including direct exchange, shared exchange and safe exchange can be satisfied.
The data resource exchange subsystem comprises a data exchange central control part, a data exchange gateway and a data bus; the method mainly completes functions and services of data acquisition, data distribution, control center, strategy configuration, task scheduling management, exchange data management, data desensitization, breakpoint continuous transmission and the like among departments.
The data integration comprises data cleaning and data comparison; the data sharing comprises three links of sharing application, sharing approval and sharing audit; and realizing data quality management through synchronous fault tolerance and quality control.
(3) Applying a support layer
The application supporting layer mainly relates to basic tools, digital certificate services, workflow engines, data mining analysis tools, geographic information service GIS systems, video conference systems and the like, and specifically comprises the following steps:
middleware software extracts common problems in the distributed system structure, encapsulates a solving mechanism of the common problems, and provides a simple and uniform interface to the outside, so that difficulty and workload of developers in solving the common problems are reduced.
Mainly provides two types of middleware products: message oriented middleware including message queues and message passing; the WEB application server supports communication and connection of front-end clients and back-end data and application resources, and provides various supports such as transaction processing, reliability and easy clipping property by adopting advanced technologies such as object oriented technology, componentization technology and the like, so that the deployment and development of a network application system are greatly simplified.
The digital certificate service, the construction of application security is based on PKI technology system and the application of digital certificates, and unified digital certificate service, unified digital identity management service and trusted data service are provided for an application system.
The system needs to construct a set of report and formula engine, which is suitable for the continuous change of the report caused by the change of the service, and comprises a report request part, a format definition part, an engine operation part, a strategy engine part, an engine monitoring part and an engine output part.
The workflow engine is used for flexibly configuring and applying various workflow processes of enterprise users, demand units and government managers.
And based on a data mining analysis tool of business intelligence, the statistical mining analysis and display of various data of the platform are realized. Specific functions provided include: report function, OLAP function, support metering statistical model, data mining function, various visual views.
Geographic Information Service (GIS) system provides general geographic information service, spatial data processing service and professional layer service, and provides unified and rapid map making and analysis computing service for each business system.
And the video conference system realizes remote real-time video conference and voice communication. And the standard SIP protocol is supported to carry out bidirectional voice and video docking, or an SDK docking development interface is provided to realize docking with a video conference system, and after docking, command scheduling control personnel can push images of the docked video system and multipath voice of the audio system to a video conference site.
(4) Functional application layer
The statistical reporting system is oriented to three-level users of enterprises, provincial work and communication authorities and work and communication departments, builds a unified key medical material guarantee scheduling data acquisition channel, monitors enterprise material production data, enhances the enterprise material production supervision capability, forms a whole set of enterprise data information acquisition standard, flow, template and professional and efficient information cleaning, integration, association and supervision system, and simultaneously realizes comprehensive inquiry and total analysis of basic data according to the requirements of business scenes. The method comprises five functions of query analysis, statistics summarization, report output, filling management and policy notification.
The execution monitoring system firstly realizes the supervision of work, and checks whether a compound enterprise starts to carry out the reworking or not and fills the abnormal change of data by telephone rechecking, field personnel compounding and data analysis comparison; the production information such as the capacity, the yield and the like of the materials is filled through a micro-signaling applet, and the image information of the material delivery, shipment and receiving links such as the uploading, receiving, dispatching and dispatching order, the handover record order, the central medicine storage commodity signing and receiving order, the accompanying bill, the loading of the goods and the like is used for monitoring the material dispatching of key enterprises.
And secondly, the whole process supervision is realized, and the system consists of three systems, namely a key material scheduling operation management sub-module, a key material scheduling management applet and a key material area warehouse scheduling management sub-module. Key material scheduling operation management sub-module: the method is a management background of the PC end and mainly faces to platform operators. The platform operator checks information such as material allocation orders, warehouse material conditions and the like, and has the functions of management of a management mechanism and a user, analysis of a statistical report, personal information management and the like.
Key material scheduling management applet: the method is used at a mobile terminal of a mobile phone for small programs developed based on a WeChat environment, and is mainly oriented to calling sponsors, production enterprise personnel, regional warehouse goods taking personnel, regional warehouse management personnel and provincial warehouse goods taking personnel. Providing the functions of material allocation initiation, information viewing, material verification, personal center, message pushing and the like.
And the key material area warehouse scheduling management sub-module: the management background of the PC side is mainly oriented to regional warehouse dispatcher, and functions of regional warehouse material dispatching management, regional warehouse material inventory management, personal information management and the like are provided.
The analysis scheduling system is used for monitoring the supply capacity, and based on the statistical reporting system, the daily enterprise reporting information is summarized in a product-dividing and region-dividing mode, so that the operation monitoring analysis and the comparison between the areas for monitoring the supply capacity of the product are realized, and data support is provided for the work such as material scheduling, storage, transportation and production scheduling. The system mainly comprises four functional modules, namely a productivity monitoring module, a yield monitoring module, an inventory monitoring module and a raw material monitoring module. The main monitoring content comprises operation monitoring and interval comparison.
Secondly, comprehensively optimizing the demands, carrying out model calculation and demand verification according to the demand reporting data of each place, constructing a demand optimization balance table, verifying actual demand conditions according to product areas, and defining targets for developing scheduling work.
And thirdly, allocating a balance plan, wherein the balance plan is divided into a supply and demand measuring module, a rolling demand plan management module, a demand response map module and a scheduling instruction issuing module. And determining a demand gap and gap change through transverse and longitudinal comparison, compiling a current dispatching target, and providing a dispatching plan enterprise list.
And fourthly, a total product storage plan is formulated, the spatial layout of product yield and demand is combined, the optimal node of product storage is optimally analyzed, the storage utilization efficiency is maximized on the premise of constraint of limited resources, and when a data gap exists, corresponding reminding is generated, and verification, revision and confirmation are carried out by actual responsible personnel. And (3) giving a deployment plan, a delivery enterprise and a destination, and automatically making an optimized logistics path through a path optimization algorithm so as to realize timely low-cost supply guarantee.
And fifthly, task issuing and result feedback are performed, corresponding task lists are formed for task execution departments such as all levels of industrial and telecommunication departments, enterprises, storage management departments and the like, corresponding work tasks are distributed, and specific work requirements are defined. And each task execution department feeds back actual demands, allocation, production and storage results on time according to task requirements, provides corresponding proving materials and carries out association matching detection by the background.
(5) Decision support system
Advanced technologies such as the Internet of things, big data, identification analysis and blockchain are utilized to monitor, analyze and pre-judge the security scheduling conditions such as raw material supply, production, storage, transportation, logistics and reception of national key materials, and a reference is provided for comprehensive decisions such as production scheduling, production expansion investment planning, material storage layout and the like.
Firstly, a key material guarantee scheduling 'one picture' is constructed and divided into three parts of demand, supply and scheduling. The real-time demand, the real-time capacity, the production and the real-time supply scheduling conditions of various important medical materials in each region are presented through a map. The classified check of the important medical material demands according to the major class 7 and the minor class 18 can be realized, and the check can be realized according to the regional areas of 31 provinces and important cities.
And secondly, comprehensively reporting information, including four functions, namely, quick browsing, guaranteeing conditions, working dynamics and front line fax.
The comprehensive situation quick-viewing shows the development situation of epidemic situations in all places, including nationwide diagnosis, new diagnosis, suspected cases, healed people, death people and the like.
The security conditions comprehensively present epidemic situation prevention and control conditions in all places, including supply conditions, supply and demand gap conditions and the like of various important medical materials in the whole country.
The work dynamic state shows the epidemic situation prevention and control work progress and the dynamic state of the national, department and various field worker departments in real time. Including but not limited to various types of policy documents, instructions, meetings, job summaries, and the like.
Front line fax comprehensively presents the first line conditions of epidemic situation prevention and control of each place, including the conditions of raw material supply, production, storage, transportation, logistics, reception and the like of a resident enterprise of a specially-assigned person.
And thirdly, risk early warning and pre-judging, wherein the risk early warning and pre-judging comprises two functions, namely important medical material supply and demand gap pre-judging and important medical material guarantee risk early warning.
The important medical material supply and demand gap is pre-judged, and the important medical material supply and demand gap conditions of 2 days, 5 days, 7 days and 15 days are pre-judged and comprehensively presented.
Important medical material supply and demand gap early warning, national department joint defense joint control mechanism, data acquisition system and demand comprehensive optimization module are adopted to call epidemic situation development and important medical material supply and demand gap related data, gap threshold is set, and real-time early warning is issued for the condition exceeding the threshold.
Fourthly, the expanded production investment plan comprises two functions, namely the establishment of the expanded production investment plan of the key medical supplies and the execution monitoring of the expanded production investment plan of the key medical supplies.
And (3) preparing an important medical material investment plan, calling epidemic situation development and important medical material supply and demand gap related data, analyzing a supply gap, evaluating the expanded production possibility, the expanded capacity and the expanded production investment requirement, and arranging an expanded production investment plan.
The important medical material expansion investment plan execution monitoring, the relevant enterprise expansion capacity progress and the relevant investment plan issuing condition are called, and the overall expansion investment execution condition, the execution ratio and the execution effect are presented.
Fifthly, the material reserve layout comprises two functions, namely important medical material reserve layout planning and important medical material reserve distribution condition monitoring.
And (3) planning a key medical material reserve layout, calling epidemic situation development and key medical material supply and demand gap related data, taking account of two requirements of key medical material demand response in each place and reduction of collection, storage, transportation and cost, compiling a key medical material reserve layout optimization model algorithm, and measuring and calculating national layout of various key medical material reserves according to supply and demand instant information.
And (3) monitoring the distribution condition of the key medical material reserves, calling the relevant data of the key medical material collection, transportation and storage, and displaying the distribution condition of the key medical material reserves and the actual collection and storage condition through a time axis, a digital card and a line diagram.
(6) Service presentation layer
The webpage display provides a visual display mode based on a browser, and a user can check production, storage and transportation conditions of materials through the browser, report related data and check analysis results.
The digital large screen display adopts the ultra-high resolution display screen, can realize multi-module linkage display of unified theme, dynamically displays requirements, production, storage and transportation conditions of key medical materials in real time, provides good visual experience different from a common desktop, and can better facilitate management layers to master conditions, know problems and implement decisions.
The mobile APP display can be installed on a smart phone terminal, so that management personnel can report, audit and manage important medical material information in real time. The mobile client can also display rich information contents such as reports, graphs and the like, finish the work such as data inquiry, reporting, auditing and the like, and is particularly suitable for the application such as picture shooting, uploading and the like in production sites and transportation handover sites.
And compared with the mobile APP, the mobile APP can be accepted by the user more easily, and can cooperate with the mobile APP to provide more convenient mobile terminal service for the user.
In summary, by means of the technical scheme, the industrial base can be found out, and the production and supply data base of key medical supplies can be tamped; the emergency capability is improved, and the material demands of sudden public health events are responded quickly; the decision support is strengthened, and the important medical material reserve layout optimization is accelerated.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (9)
1. A medical material assurance scheduling system, comprising:
the standard specification construction module is used for establishing an information standard, establishing a big data storage and calculation technical specification, establishing a big data storage resource pool, establishing a big data visualization technical specification, and establishing an expansibility technical specification by utilizing graphics, image processing, computer vision and a user interface, performing visual interpretation on data through displaying three-dimensional, surface, attribute and animation, establishing a performance technical specification, establishing a safety technical specification;
the video conference module is used for communicating the remote real-time video conference with voice;
the statistics report module is used for constructing a unified key medical material guarantee scheduling data acquisition channel, monitoring enterprise material production data, enhancing enterprise material production supervision capability, and carrying out comprehensive query and total analysis on basic data according to the requirements of business scenes;
the execution monitoring module is used for checking whether a compound enterprise starts a reworking process or reports abnormal data changes through telephone rechecking, field personnel compounding and data analysis comparison; the method comprises the steps of filling capacity and yield production information of materials through a micro-message applet, uploading, receiving, storing and transferring orders, handing over a record list, signing for central medical storage goods, accompanying a same party list, and image information of material delivery, shipment and receiving links of goods loading, material delivery, monitoring heavy enterprise material delivery, and further being used for checking material information by platform operators, managing management institutions and users, analyzing statistical report forms and managing personal information, initiating material transferring orders, checking information, checking materials, managing regional warehouse material scheduling, regional warehouse material inventory and personal information, wherein the execution monitoring module comprises a work supervision module and a whole process supervision module;
The analysis scheduling module is used for detecting supply capacity, carrying out regional summarization on daily enterprise report information, carrying out operation monitoring analysis and regional comparison for mainly monitoring the product supply capacity, carrying out model calculation and demand verification according to various region demand report data, constructing a demand optimization balance table, verifying actual demand conditions, clearly developing a scheduling work target, determining demand gaps and gap changes through transverse and longitudinal comparison, compiling a current scheduling target, providing a scheduling enterprise list, further preparing a total product storage amount plan, optimizing optimal nodes for product storage, giving a scheduling plan, a delivery enterprise and a destination, automatically preparing an optimized logistics path through a path optimization algorithm, forming corresponding task lists for each stage of information departments, enterprises and storage management department task execution departments, distributing corresponding work tasks, clearly specifying specific work requirements, feeding back actual demands, production and storage results on time according to the task requirements, and providing corresponding proving materials by the background, and carrying out correlation matching and inspection, wherein the analysis scheduling module comprises a supply capacity detection module, a demand comprehensive optimization module, a scheduling balance module, a storage plan receiving and a task feedback module;
The decision support module is used for monitoring, analyzing and pre-judging the state important material raw material supply, production, storage, transportation, logistics and receiving guarantee scheduling conditions and comprises a material guarantee scheduling module, an information comprehensive reporting module, a risk early warning pre-judging module, a production expansion investment planning module and a material storage layout module.
2. The medical material assurance scheduling system of claim 1, wherein the comprehensive query and summary analysis of the underlying data includes query analysis, statistical summary, report output, report management and policy notification.
3. The medical material assurance scheduling system of claim 1, wherein the overall process supervision module includes a key material scheduling operation management sub-module, a key material scheduling management applet sub-module, and a key material area warehouse scheduling management sub-module.
4. The medical material assurance scheduling system of claim 1, wherein the supply capability detection module includes a capacity monitoring module, a yield monitoring module, an inventory monitoring module and a raw material monitoring module.
5. The medical material assurance scheduling system of claim 1, wherein the deployment balance plan module includes a supply and demand measurement module, a rolling demand plan management module, a demand response map module, and a scheduling instruction issue module.
6. The medical material assurance scheduling system of claim 1, wherein the material assurance scheduling module is configured to present real-time demand, real-time capacity, production and supply scheduling of each type of important medical material for each region via a map.
7. The medical material guarantee scheduling system according to claim 1, wherein the information comprehensive reporting module comprises a to-be-condition quick-viewing module, a guarantee condition module, a working dynamic module and a front line fax module, and is used for comprehensively presenting the development situation of epidemic situations in all places, notifying key events of the development of epidemic situations in all places, comprehensively presenting the prevention and control conditions of epidemic situations in all places, notifying key events of the prevention and control of epidemic situations in all places, presenting the progress and the dynamic state of epidemic prevention and control work of national, department and each worker and department in real time, and comprehensively presenting the prevention and control first line conditions of epidemic situations in all places.
8. The medical material guarantee scheduling system according to claim 1, wherein the risk early warning pre-judging module is used for pre-judging the situation of important medical material supply and demand gaps, comprehensively presenting, scheduling epidemic situation development and important medical material supply and demand gap related data, setting a gap threshold, and issuing real-time early warning for the situation exceeding the threshold.
9. The medical material assurance scheduling system of claim 1, wherein the expanded production investment plan module is configured to plan and monitor the expanded production investment plan of the focused medical material; the preparation of the major medical material investment plan comprises the steps of calling relevant data of epidemic situation development and major medical material supply and demand gaps, analyzing supply gaps, evaluating the expanded production possibility, the expanded capacity and the expanded production investment requirement, and arranging an expanded production investment plan; the monitoring of the execution of the important medical material expanded production investment plan comprises the following steps: the method comprises the steps of calling the expansion capacity progress of related enterprises and the issuing condition of related investment plans, and presenting the overall condition, execution ratio and execution effect of expansion investment execution; the supply and reserve layout module comprises: planning and monitoring key medical material reserve distribution conditions; the key medical material reserve layout planning comprises the steps of calling epidemic situation development and key medical material supply and demand gap related data, taking account of two requirements of key medical material demand response in each place and reduction of collection, storage, transportation and cost, compiling a key medical material reserve layout optimization model algorithm, and measuring and calculating national layouts of various key medical material reserves according to supply and demand instant information; the key medical material reserve distribution condition monitoring comprises the steps of calling data related to the collection, storage and transportation of key medical materials, and displaying the key medical material reserve distribution condition and the actual collection and storage condition through a time axis, a digital card and a line diagram.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110293590.1A CN113223678B (en) | 2021-03-19 | 2021-03-19 | Medical material guarantee scheduling system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110293590.1A CN113223678B (en) | 2021-03-19 | 2021-03-19 | Medical material guarantee scheduling system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113223678A CN113223678A (en) | 2021-08-06 |
| CN113223678B true CN113223678B (en) | 2024-01-23 |
Family
ID=77083814
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110293590.1A Active CN113223678B (en) | 2021-03-19 | 2021-03-19 | Medical material guarantee scheduling system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113223678B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113722564A (en) * | 2021-09-09 | 2021-11-30 | 国网电子商务有限公司 | Visualization method and device for energy and material supply chain based on space map convolution |
| CN113705938B (en) * | 2021-10-27 | 2022-03-15 | 杭州费尔斯通科技有限公司 | Epidemic situation material scheduling method and system based on double chains |
| CN113706059B (en) * | 2021-10-28 | 2022-02-11 | 南京慧链和信数字信息科技研究院有限公司 | Material management evidence storage platform based on block chain |
| CN113988762A (en) * | 2021-11-10 | 2022-01-28 | 应急管理部国家减灾中心 | Emergency material storage management system and method based on Internet of things |
| CN115063047B (en) * | 2022-08-11 | 2022-11-11 | 华能能源交通产业控股有限公司 | Early warning material allocation method and device, electronic equipment and storage medium |
| CN117172501A (en) * | 2023-09-21 | 2023-12-05 | 奇点数联(北京)科技有限公司 | Material distribution system based on data mining |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100076708A (en) * | 2008-12-26 | 2010-07-06 | 한국건설기술연구원 | Asset management information system for social infrastructures |
| CN103544568A (en) * | 2013-10-28 | 2014-01-29 | 济南市疾病预防控制中心 | Digital disease control information integration and intelligent public health management platform |
| CN104463759A (en) * | 2014-11-28 | 2015-03-25 | 东莞中国科学院云计算产业技术创新与育成中心 | Decision-making and command all-in-one machine based on digital schema and operation method of all-in-one machine |
| CN106296515A (en) * | 2015-05-13 | 2017-01-04 | 仁智(苏州)医学研究有限公司 | Clinical treatment equipment scheduling method based on Internet of Things and system |
| CN111125061A (en) * | 2019-12-18 | 2020-05-08 | 甘肃省卫生健康统计信息中心(西北人口信息中心) | Method for standardizing and promoting health medical big data |
| CN111768848A (en) * | 2020-05-29 | 2020-10-13 | 王丽英 | System for constructing centralized management, unified allocation and delivery of procurement and supply of emergency materials |
| CN112241842A (en) * | 2020-10-19 | 2021-01-19 | 北京工商大学 | Emergency material scheduling system based on virtual mass storage |
| CN112347752A (en) * | 2020-11-16 | 2021-02-09 | 中国信息通信研究院 | Autonomous drawing management method and device for industrial chain |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10049186B2 (en) * | 2006-05-11 | 2018-08-14 | Cerner Innovation, Inc. | System and method for clinical order rescheduling |
| US10887747B2 (en) * | 2018-04-20 | 2021-01-05 | Whelen Engineering Company, Inc. | Systems and methods for remote management of emergency equipment and personnel |
| US11264128B2 (en) * | 2019-06-28 | 2022-03-01 | University Hospitals Cleveland Medical Center | Machine-learning framework for coordinating and optimizing healthcare resource utilization and delivery of healthcare services across an integrated healthcare system |
-
2021
- 2021-03-19 CN CN202110293590.1A patent/CN113223678B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100076708A (en) * | 2008-12-26 | 2010-07-06 | 한국건설기술연구원 | Asset management information system for social infrastructures |
| CN103544568A (en) * | 2013-10-28 | 2014-01-29 | 济南市疾病预防控制中心 | Digital disease control information integration and intelligent public health management platform |
| CN104463759A (en) * | 2014-11-28 | 2015-03-25 | 东莞中国科学院云计算产业技术创新与育成中心 | Decision-making and command all-in-one machine based on digital schema and operation method of all-in-one machine |
| CN106296515A (en) * | 2015-05-13 | 2017-01-04 | 仁智(苏州)医学研究有限公司 | Clinical treatment equipment scheduling method based on Internet of Things and system |
| CN111125061A (en) * | 2019-12-18 | 2020-05-08 | 甘肃省卫生健康统计信息中心(西北人口信息中心) | Method for standardizing and promoting health medical big data |
| CN111768848A (en) * | 2020-05-29 | 2020-10-13 | 王丽英 | System for constructing centralized management, unified allocation and delivery of procurement and supply of emergency materials |
| CN112241842A (en) * | 2020-10-19 | 2021-01-19 | 北京工商大学 | Emergency material scheduling system based on virtual mass storage |
| CN112347752A (en) * | 2020-11-16 | 2021-02-09 | 中国信息通信研究院 | Autonomous drawing management method and device for industrial chain |
Non-Patent Citations (4)
| Title |
|---|
| 大数据在重大流行病疫情防控中的应用及展望;梅小亚;赵林畅;;河海大学学报(哲学社会科学版)(第02期);第45-53页 * |
| 建立应对新冠肺炎疫情的应急医疗物资运转机构与运行机制的构想;周志忠;;中国应急管理科学(第03期);第10-15页 * |
| 突发公共卫生事件中应急医疗物资供应链的探讨;揭映楣;陈敏生;;江苏卫生事业管理(第09期);第33-37页 * |
| 谢滨 ; 韩天宇 ; .新冠肺炎疫情下,重新思考数据共享.互联网天地.2020,(第03期),第21-22页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113223678A (en) | 2021-08-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113223678B (en) | Medical material guarantee scheduling system | |
| CN106815709B (en) | Service quick response center support system and method | |
| US6985872B2 (en) | Method and system for assigning human resources to provide services | |
| CN105303306B (en) | Electric power material dispatching platform system | |
| US20160034474A1 (en) | Enterprise Data Mining in a Multi-Tenant Database | |
| US20180374052A1 (en) | Method of improviding building information modeling | |
| CN112732823B (en) | Method for realizing enterprise material supply whole-process monitoring system | |
| CN115375146A (en) | Digital construction integrated platform | |
| CN103390218A (en) | Three-chain coupling integrated emergency security system and method for emergencies | |
| Safeer et al. | Impact of business intelligence competency center in success/failure of BI applications | |
| CN116957341A (en) | Intelligent safety risk management and control system based on steel mill | |
| Herrgoß et al. | Development and evaluation of a Blockchain concept for production planning and control in the semiconductor industry | |
| CN109829615B (en) | Target task multistage monitoring device and method based on proprietary cloud | |
| Yang et al. | Design of enterprise management system based on edge computing architecture | |
| Martins et al. | BigData oriented to business decision making: a real case study in constructel | |
| CN110555675A (en) | Method for realizing real-time online supervision | |
| CN116894648A (en) | Government engineering digital project management system | |
| CN111476697A (en) | Wisdom road network integrated management platform | |
| CN116739208A (en) | Unified management system for power supply service | |
| CN110782378A (en) | Community operation service platform, community management method, community management equipment and storage medium | |
| CN110544007A (en) | Establishment method for enterprise performance management and quantification and information system device | |
| CN113706101B (en) | Intelligent system architecture and method for power grid project management | |
| CN115496337A (en) | Data system for supporting brain of enterprise | |
| CN111984947A (en) | Comprehensive management method and system based on intelligent legal platform | |
| CN115345462B (en) | Task overall planning and merging method and system for provincial administration |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |