CN110600102A - Medicine distribution method and system - Google Patents
Medicine distribution method and system Download PDFInfo
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- CN110600102A CN110600102A CN201910805298.6A CN201910805298A CN110600102A CN 110600102 A CN110600102 A CN 110600102A CN 201910805298 A CN201910805298 A CN 201910805298A CN 110600102 A CN110600102 A CN 110600102A
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
- G16H20/13—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered from dispensers
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Abstract
The invention discloses a medicine distribution method and a system, wherein the method comprises the following steps: acquiring an electronic medical record, an electronic prescription and distribution information of a target patient, and training by adopting an SVM algorithm to generate a distribution scheme; the delivery scheme includes: locking a primary edge node meeting a preset distribution condition, wherein the primary edge node is a decoction third party terminal, and the preset distribution condition is set according to the electronic prescription and the distribution information; locking a secondary edge node capable of dispensing a corresponding drug of the electronic prescription to the primary edge node, the secondary edge node being a cooperative hospital terminal or a pharmacy terminal; and simultaneously distributing the distribution scheme to the primary edge node and the secondary edge node in a mode of distributing orders. According to the teaching of the embodiment, the invention can shorten the time of taking the medicine by the patient in the hospital, solve various problems in the process of decocting the medicine by the patient and obviously improve the medicine distribution efficiency of the hospital.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a medicine distribution method and system.
Background
The complicated and time-consuming doctor seeing process is experienced by each patient, even the patient is experiencing the trouble, after the doctor seeing the doctor, the problems of waiting for a doctor to fetch the medicines, decocting the medicines, cross infection and the like are likely to be encountered, and the inventor of the invention finds that no efficient, accurate and careful means is available for solving the problem at present.
Furthermore, the use and action effects of the drug as a product with a limited duration, especially a decocted traditional Chinese medicine, are very sensitive to time requirements, so that the drug delivery quality is very high, and the existing drug delivery system is not perfect in the aspects of pharmacist team, quality management system, cooperation basis and scheme, drug quality, prescription review, decoction mode, information system, internet technology and the like, and the effect is not obvious when the problems are solved.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a medicine distribution method and system, which can shorten the time of taking medicine by a patient in a hospital, solve various problems in the process of decocting the medicine by the patient and obviously improve the medicine distribution efficiency of the hospital.
In a first aspect:
an embodiment of the present invention provides a method for delivering a medicine, including:
acquiring an electronic medical record, an electronic prescription and distribution information of a target patient;
training the electronic medical record, the electronic prescription and the delivery information of the target patient by adopting an SVM algorithm to generate a delivery scheme; the delivery scheme includes:
locking a first-level edge node meeting preset distribution conditions, and generating path planning information for delivering the decocted medicine to the target patient; the first-level edge node is a decoction-substituting third-party terminal, and the preset distribution condition is set according to the electronic prescription and the distribution information;
locking a secondary edge node capable of dispensing a corresponding medication of the electronic prescription to the primary edge node, and generating path planning information for delivering the corresponding medication to the primary edge node; the secondary edge node is a cooperative hospital terminal or a pharmacy terminal;
distributing the distribution scheme to the primary edge node and the secondary edge node simultaneously in a mode of distributing orders;
and receiving the distribution feedback information reported by the primary edge node or the secondary edge node, and updating the distribution state of the distribution order according to the distribution feedback information.
Specifically, the training of the electronic medical record, the electronic prescription and the delivery information of the target patient by using the SVM algorithm to generate the delivery scheme includes:
setting a Support Vector Machine (SVM) algorithm;
semantically identifying the electronic medical record and the electronic prescription of the target patient and checking the medicine treatment information of the electronic prescription, wherein the information comprises the data integrity of the electronic prescription, the identity authenticity of the role of the electronic prescription, the medical responsibility attribution problem of the electronic prescription and the time credibility of medical behaviors;
after the electronic prescription passes the verification, all related edge nodes are screened step by step according to the electronic prescription and the delivery information until at least one first-level edge node meeting preset delivery conditions and at least one second-level edge node capable of dispensing the corresponding medicine of the electronic prescription to the first-level edge node are screened, and an initial delivery scheme is generated;
acquiring weather information, geographical position and traffic conditions of a distribution area corresponding to the edge node, optimizing the initial distribution scheme, locking an optimal primary edge node meeting preset distribution conditions and an optimal secondary edge node capable of allocating the corresponding medicine of the electronic prescription to the primary edge node, and generating a final distribution scheme.
Preferably, the medical dispensing method further comprises:
collecting comment information aiming at a certain edge node, carrying out statistics after carrying out semantic recognition on the comment information, and taking the statistics as one of screening parameters of whether the edge node is the optimal edge node meeting preset medicine distribution conditions or medicine allocation.
Specifically, receiving the delivery feedback information reported by the primary edge node or the secondary edge node, and updating the delivery state of the delivery order according to the delivery feedback information includes:
when the delivery feedback information is unprocessed, updating the delivery state of the delivery order to be unprocessed;
when the delivery feedback information indicates that the medicine is being prepared, updating the delivery state of the delivery order to be the medicine being prepared;
when the delivery feedback information indicates that the decoction is being carried out, updating the delivery state of the delivery order to the decoction;
when the delivery feedback information is delivery, updating the delivery state of the delivery order to be delivery;
and when the delivery feedback information is delivered, updating the delivery state of the delivery order to be delivered, and ending the delivery order.
Preferably, the medical dispensing method further comprises:
and triggering an alarm prompt when detecting that the distribution state of the distribution order is not updated within a preset time limit corresponding to any distribution state, and distributing the alarm prompt to all associated terminals including a cooperative hospital terminal or a pharmacy terminal of the edge node, an attending doctor terminal and a target patient terminal.
In a second aspect:
an embodiment of the present invention further provides a medicine dispensing system, including:
the information acquisition unit is used for acquiring the electronic medical record, the electronic prescription and the distribution information of the target patient;
the distribution scheme training unit is used for training the electronic medical record, the electronic prescription and the distribution information of the target patient by adopting an SVM algorithm to generate a distribution scheme; the delivery scheme includes:
locking a first-level edge node meeting preset distribution conditions, and generating path planning information for delivering the decocted medicine to the target patient; the first-level edge node is a decoction-substituting third-party terminal, and the preset distribution condition is set according to the electronic prescription and the distribution information;
locking a secondary edge node capable of dispensing a corresponding medication of the electronic prescription to the primary edge node, and generating path planning information for delivering the corresponding medication to the primary edge node; the secondary edge node is a cooperative hospital terminal or a pharmacy terminal;
the distribution unit is used for simultaneously distributing the distribution scheme to the primary edge node and the secondary edge node in a mode of distributing orders;
and the statistical unit is used for receiving the distribution feedback information reported by the primary edge node or the secondary edge node and updating the distribution state of the distribution order according to the distribution feedback information.
The embodiment of the invention has the following beneficial effects:
the invention provides a medicine distribution method and a medicine distribution system, which are a brand new service mode created by the internet and the internet of things technology, provide one-stop comprehensive medicine service for patients, such as medicine delivery, medicine preparation, and medicine consultation, and save the trouble of two links for patients to see a doctor: first, queue up and take the medicine, second, decoct the medicine. After a user visits a doctor, the prescription is uploaded in a hospital, the system intelligently recognizes the prescription, and all the remaining links of medicine taking, traditional Chinese medicine decoction and delivery are completed for the prescription in the middle and western countries, so that the patient does not need to queue up to buy the medicine in the hospital in person, and the patient can see a doctor to take the medicine as simple and convenient as receiving express.
According to the teaching of the embodiment, the convenient, accurate and careful health service provided by the invention shortens the time of taking medicine in a hospital for a patient, solves various problems (such as cross infection and the like) existing in the medicine decocting process of the patient and obviously improves the medicine distribution efficiency of the hospital.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used 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 it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for dispensing medication according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for dispensing medication in accordance with a preferred embodiment of the present invention;
FIG. 3 is a flow chart of a method for dispensing medication according to another preferred embodiment of the present invention
FIG. 4 is a schematic diagram of a medical delivery system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a medical delivery system according to a preferred embodiment of the present invention;
fig. 6 is a schematic structural view of a medical delivery system according to another preferred embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
In the present invention, regarding electronic medical records, electronic prescriptions, and SVM algorithms:
electronic Medical Records (EMR) are also known as computerized Medical Record systems or Computer-Based Patient records (CPR). It is a digitalized medical record stored, managed, transmitted and reproduced by electronic equipment (computer, health card, etc.) to replace the hand-written paper case history. Its contents include all the information of the paper case history.
Electronic prescription (Electronic prescription) refers to a medical Electronic document which is transmitted by means of a network, programmed by adopting an information technology, filled with medicine treatment information in diagnosis and treatment activities, made into a prescription, transmitted to a pharmacy through the network, audited, allocated, checked and charged by professional pharmacy technicians, and used for dispensing medicines and taking medicines in the pharmacy.
A Support Vector Machine (SVM) is a generalized linear classifier (generalized linear classifier) that performs binary classification (binary classification) on data in a supervised learning (supervised learning) manner, and a decision boundary of the SVM is a maximum-margin hyperplane (maximum-margin hyperplane) that solves for a learning sample. The SVM calculates an empirical risk (empirical risk) using a hinge loss function (change loss) and adds a regularization term to a solution system to optimize a structural risk (structural risk), which is a classifier with sparsity and robustness. SVMs can be classified non-linearly by a kernel method, which is one of the common kernel learning (kernel learning) methods.
Therefore, the medical delivery method and medical delivery system of the present invention may select a support vector machine algorithm for training the delivery scheme.
The first embodiment of the present invention:
referring to fig. 1, a method for dispensing medicine includes:
s101, acquiring an electronic medical record, an electronic prescription and delivery information of a target patient.
S102, training the electronic medical record, the electronic prescription and the delivery information of the target patient by adopting an SVM algorithm to generate a delivery scheme.
The delivery scheme includes:
and locking a primary edge node meeting preset distribution conditions, and generating path planning information for delivering the decocted medicine to the target patient. The first-level edge node is a decoction-substituting third-party terminal, and the preset distribution condition is set according to the electronic prescription and the distribution information.
Locking a secondary edge node capable of dispensing a corresponding medication of the electronic prescription to the primary edge node, and generating path planning information for delivering the corresponding medication to the primary edge node; and the secondary edge node is a cooperative hospital terminal or a pharmacy terminal.
S103, distributing the distribution scheme to the primary edge node and the secondary edge node simultaneously in a mode of distributing orders.
And S104, receiving the distribution feedback information reported by the primary edge node or the secondary edge node, and updating the distribution state of the distribution order according to the distribution feedback information.
When the delivery feedback information is unprocessed, updating the delivery state of the delivery order to be unprocessed; when the delivery feedback information indicates that the medicine is being prepared, updating the delivery state of the delivery order to be the medicine being prepared; when the delivery feedback information indicates that the decoction is being carried out, updating the delivery state of the delivery order to the decoction; when the delivery feedback information is delivery, updating the delivery state of the delivery order to be delivery; and when the delivery feedback information is delivered, updating the delivery state of the delivery order to be delivered, and ending the delivery order.
Specifically, the training of the electronic medical record, the electronic prescription and the delivery information of the target patient by using the SVM algorithm to generate the delivery scheme includes:
setting a Support Vector Machine (SVM) algorithm;
semantically identifying the electronic medical record and the electronic prescription of the target patient and checking the medicine treatment information of the electronic prescription, wherein the information comprises the data integrity of the electronic prescription, the identity authenticity of the role of the electronic prescription, the medical responsibility attribution problem of the electronic prescription and the time credibility of medical behaviors;
after the electronic prescription passes the verification, all related edge nodes are screened step by step according to the electronic prescription and the delivery information until at least one first-level edge node meeting preset delivery conditions and at least one second-level edge node capable of dispensing the corresponding medicine of the electronic prescription to the first-level edge node are screened, and an initial delivery scheme is generated;
acquiring weather information, geographical position and traffic conditions of a distribution area corresponding to the edge node, optimizing the initial distribution scheme, locking an optimal primary edge node meeting preset distribution conditions and an optimal secondary edge node capable of allocating the corresponding medicine of the electronic prescription to the primary edge node, and generating a final distribution scheme.
The semantic recognition technology used in this embodiment refers to that, in an intelligent dialogue system, key information of intentions and needs can be accurately recognized from user input contents through key technologies such as Chinese word segmentation and proper name recognition, so as to provide corresponding content service related products.
The specific application scenarios include:
and (3) voice instruction analysis: on the basis of word segmentation and part-of-speech tagging, key nouns, verbs, the number, the time and the like in the voice command are analyzed, the meaning of the command is accurately understood, and the user experience is improved;
multi-round interactive search: identifying and positioning a core entity in a plurality of rounds of conversations through a proper name, and automatically judging the further information requirement on the entity in the subsequent conversations;
and (3) constructing an entity database: and (3) constructing an entity information (such as people and organizations) database by mining the association between the entities and the keywords.
In this embodiment, the delivery information for the target patient should include the patient address and contact details. In the step-by-step screening of all associated edge nodes, it can be understood that when the edge nodes with decreasing levels, which are sequentially set according to the administrative district division, of the second-level edge nodes are provincial edge nodes (provincial hospitals), municipal edge nodes (municipal hospitals) and county edge nodes (county hospitals/townships hospitals).
In a specific embodiment, the primary edge node is a decocting third party terminal, and may not have a medicine library or may not be capable of providing all kinds and amounts of medicines on an electronic prescription, but has the capability of decocting and delivering medicines. And the secondary edge node is a cooperative hospital terminal or a pharmacy terminal, is provided with a medicine library, can provide all kinds and quantities of medicines on an electronic prescription, and may not have the capability of decoction and delivery.
At this time, although the patient A stays/dwells near a certain generation of decoction workstation, the main doctor can prescribe an electronic prescription immediately after the patient A visits a hospital on the same day, under the condition of obtaining the consent of the patient A, uploading the electronic medical record, the electronic prescription of the patient A and the delivery information provided by the patient A to a medicine delivery platform (which may be a local background server or a cloud server of the city-level hospital or a medicine delivery cloud server associated with the edge node of the hospital as a cooperation hospital), training the electronic medical record, the electronic prescription and the delivery information of the target patient by the cloud end by adopting an SVM algorithm, generating a delivery scheme and issuing the delivery scheme to the locked primary edge node and the locked secondary edge node, wherein as can be understood, since patient a lives/dwells near a generation of decoction workstations, it is likely that the generation of decoction workstations is the primary edge node that is locked.
The preset distribution condition is set according to the electronic prescription and the distribution information. Specifically, the locked secondary edge nodes should have all the types and amounts of medication required in the electronic prescription, and the primary edge nodes should have a delivery capability that allows timely delivery to the target patient.
The method comprises the steps that immediately, a patient A lives in a rural town which is far away, possibly, a local frontier rural hospital does not have medical conditions or other reasons, after the patient A visits a certain city-level hospital, an attending doctor opens an electronic prescription immediately, and under the condition that the patient A agrees, the electronic medical record, the electronic prescription and distribution information provided by the patient A are uploaded to a medicine distribution platform, the cloud end trains the electronic medical record, the electronic prescription and the distribution information of a target patient by adopting an SVM algorithm immediately, a distribution scheme is generated and sent to a locked primary edge node and a locked secondary edge node, and it can be understood that although the patient A lives in the far rural town, the town where the patient A is located has a decoction third party terminal which is a medicine distribution platform with the city-level hospital, namely a decoction workstation. Then, the medicine dispensing platform dispenses the medicine corresponding to the electronic prescription to the decoction workstation according to the dispensing scheme, and the decoction workstation is responsible for decocting and delivering the medicine to the patient a.
In a preferred embodiment, the secondary edge node is a cooperative hospital terminal or a pharmacy terminal, and not only has a medicine library, which can provide all kinds and quantities of medicines on an electronic prescription, but also has the capability of decocting and delivering medicines.
Then, patient a lives/dwells near a certain city level hospital, and after patient a visits the city level hospital on the same day, the attending physician is instantly prescribed an electronic prescription, under the condition of obtaining the consent of the patient A, uploading the electronic medical record, the electronic prescription of the patient A and the delivery information provided by the patient A to a medicine delivery platform (which may be a local background server or a cloud server of the city-level hospital or a medicine delivery cloud server associated with the edge node of the city-level hospital as a cooperative hospital), training the electronic medical record, the electronic prescription and the delivery information of the target patient by the cloud end by adopting an SVM algorithm, generating a delivery scheme and issuing the delivery scheme to the locked edge node, wherein as can be understood, since patient a lives/dwells near the level hospital, it is likely that the level hospital is a locked edge node.
The preset distribution condition is set according to the electronic prescription and the distribution information. Specifically, the locked edge nodes should have all the types and amounts of medicines required by the electronic prescription, and have a considerable delivery capacity, and can be delivered to the target patient in time and amount.
If the patient a lives in a relatively remote village and town, possibly a local frontier village and town hospital does not have medical conditions or other reasons, after the patient a visits a certain city grade hospital, the attending doctor immediately makes an electronic prescription, and under the condition of asking the patient a to agree, the electronic medical record, the electronic prescription and the delivery information provided by the patient a are uploaded to a medicine delivery platform, the cloud end immediately trains the electronic medical record, the electronic prescription and the delivery information of the target patient by adopting an SVM algorithm to generate a delivery scheme and sends the delivery scheme to a locked edge node, it can be understood that, since the patient a lives in the relatively remote village and town, if the village and town hospital in which the patient a locates and the city grade hospital are both cooperative hospital terminals or pharmacy terminals of the medicine delivery platform, the village and town hospital is likely to be the locked edge node, is responsible for dispensing and delivering the medicine to the patient A.
Acquiring weather information, geographical position and traffic conditions of a distribution area corresponding to the edge node, and optimizing the initial distribution scheme, wherein the method can be understood that the medicine distribution platform can count various factors influencing medicine distribution quality, measure, calculate and recommend the optimal distribution scheme.
According to the teaching of the embodiment, a brand-new service mode created by the internet and the internet of things provides a one-stop comprehensive medical service for patients, wherein the one-stop comprehensive medical service comprises medicine delivery, decoction, medical consultation and the like, and the trouble of two links is omitted when the patients see a doctor: first, queue up and take the medicine, second, decoct the medicine. After a user visits a doctor, the prescription is uploaded in a hospital, the system intelligently recognizes the prescription, and all the remaining links of medicine taking, traditional Chinese medicine decoction and delivery are completed for the prescription in the middle and western countries, so that the patient does not need to queue up to buy the medicine in the hospital in person, and the patient can see a doctor to take the medicine as simple and convenient as receiving express.
Referring to fig. 2, in a preferred embodiment, the method further includes:
collecting comment information aiming at a certain edge node, carrying out statistics after carrying out semantic recognition on the comment information, and taking the statistics as one of screening parameters of whether the edge node is the optimal edge node meeting preset medicine distribution conditions or medicine allocation.
It is the freedom and rights of consumers to reasonably and fairly comment on any service, and in a specific embodiment, the medicine delivery platform collects comment information of all service objects and performs statistical analysis, especially satisfaction analysis. And using the statistical analysis result as one of the screening parameters of whether the edge node is the best edge node meeting the preset medicine distribution conditions, namely as one of the parameters of the training distribution scheme.
Referring to fig. 3, in a preferred embodiment, the method further includes:
and triggering an alarm prompt when detecting that the distribution state of the distribution order is not updated within a preset time limit corresponding to any distribution state, and distributing the alarm prompt to all associated terminals including a cooperative hospital terminal or a pharmacy terminal of the edge node, an attending doctor terminal and a target patient terminal.
The use and action of the drugs as well-defined products, especially decocted traditional Chinese medicines, are very sensitive to the time requirement, so that the requirements on the medicine distribution quality are very high.
In a specific embodiment, the medical delivery platform strictly controls the time-efficiency of each delivery state to ensure the quality of medical delivery and meet the needs of patients.
According to the teaching of the embodiment, the medicine delivery method searches for a breakthrough for solving the problem of difficult and expensive medical observation, the medicine delivery platform is directly connected with a cooperative hospital, and in the hospital which is cooperative with the medicine delivery platform, a patient does not need to queue, register, pay and take medicines after the patient sees a disease in the hospital, and after a doctor of traditional Chinese medicine makes a prescription, the patient can go home directly, and medicines prescribed by the doctor and decocted traditional Chinese medicines are delivered to the home through logistics in half a day.
The cooperation hospital sends the electronic prescription of the patient to the medicine distribution platform to complete the allocation, the decoction and the distribution of the medicine, simplifies the complex and time-consuming medical observation process into the simple and convenient process of receiving and delivering the medicine, effectively solves the problems of waiting for a doctor to fetch the medicine, decocting the medicine, cross infection and the like, and is convenient, accurate and attentive health service. Shortens the time of taking the medicine in a hospital for the patient, solves various problems existing in the medicine decocting process of the patient and improves the satisfaction degree of the patient in the medical experience.
Second embodiment of the invention:
referring to fig. 4, a medical delivery system includes:
an information acquisition unit 10 for acquiring an electronic medical record, an electronic prescription, and delivery information of a target patient;
a delivery scheme training unit 20, configured to train the electronic medical record, the electronic prescription, and the delivery information of the target patient by using an SVM algorithm, so as to generate a delivery scheme; the delivery scheme includes:
locking a first-level edge node meeting preset distribution conditions, and generating path planning information for delivering the decocted medicine to the target patient; the first-level edge node is a decoction-substituting third-party terminal, and the preset distribution condition is set according to the electronic prescription and the distribution information;
locking a secondary edge node capable of dispensing a corresponding medication of the electronic prescription to the primary edge node, and generating path planning information for delivering the corresponding medication to the primary edge node; the secondary edge node is a cooperative hospital terminal or a pharmacy terminal;
the distribution unit 30 is configured to distribute the distribution scheme to the primary edge node and the secondary edge node simultaneously in a manner of distributing orders;
and the statistical unit 40 is configured to receive the distribution feedback information reported by the primary edge node or the secondary edge node, and update the distribution state of the distribution order according to the distribution feedback information.
Specifically, when the delivery feedback information is unprocessed, the statistical unit 40 updates the delivery status of the delivery order to be unprocessed; when the delivery feedback information indicates that the medicine is being dispensed, the statistical unit 40 updates the delivery status of the delivery order to indicate that the medicine is being dispensed; when the delivery feedback information indicates that the decoction is being performed, the statistical unit 40 updates the delivery status of the delivery order to indicate that the decoction is being performed; when the delivery feedback information is delivery, the statistical unit 40 updates the delivery status of the delivery order to delivery; when the delivery feedback information is delivered, the statistical unit 40 updates the delivery status of the delivery order to be delivered, and ends the delivery order.
The delivery plan training unit includes:
an algorithm setting unit 201, configured to set a Support Vector Machine (SVM) algorithm;
the information proofreading unit 202 is used for performing semantic recognition on the electronic medical record and the electronic prescription of the target patient and proofreading the medical treatment information of the electronic prescription, wherein the information comprises the data integrity of the electronic prescription, the identity authenticity of the role of participation of the electronic prescription, the medical responsibility attribution problem of the electronic prescription and the time credibility of medical behaviors;
the screening unit 203 is configured to screen all associated edge nodes step by step according to the electronic prescription and the delivery information after the electronic prescription is checked, until at least one primary edge node satisfying a preset delivery condition and at least one secondary edge node capable of allocating a corresponding drug of the electronic prescription to the primary edge node are screened, and an initial delivery scheme is generated;
the optimizing unit 204 is configured to obtain weather information, a geographic location, and traffic conditions of a distribution area corresponding to the edge node, optimize the initial distribution scheme, lock an optimal primary edge node that meets a preset distribution condition and an optimal secondary edge node that can allocate a corresponding medicine of the electronic prescription to the primary edge node, and generate a final distribution scheme.
In this embodiment, the delivery information for the target patient should include the patient address and contact details. In the step-by-step screening of all associated edge nodes, it can be understood that when the edge nodes with decreasing levels, which are sequentially set according to the administrative district division, of the second-level edge nodes are provincial edge nodes (provincial hospitals), municipal edge nodes (municipal hospitals) and county edge nodes (county hospitals/townships hospitals).
In a specific embodiment, the primary edge node is a decocting third party terminal, and may not have a medicine library or may not be capable of providing all kinds and amounts of medicines on an electronic prescription, but has the capability of decocting and delivering medicines. And the secondary edge node is a cooperative hospital terminal or a pharmacy terminal, is provided with a medicine library, can provide all kinds and quantities of medicines on an electronic prescription, and may not have the capability of decoction and delivery.
At this time, although the patient A stays/dwells near a certain generation of decoction workstation, the main doctor can prescribe an electronic prescription immediately after the patient A visits a hospital on the same day, under the condition of obtaining the consent of the patient A, uploading the electronic medical record, the electronic prescription of the patient A and the delivery information provided by the patient A to a medicine delivery platform (which may be a local background server or a cloud server of the city-level hospital or a medicine delivery cloud server associated with the edge node of the hospital as a cooperation hospital), training the electronic medical record, the electronic prescription and the delivery information of the target patient by the cloud end by adopting an SVM algorithm, generating a delivery scheme and issuing the delivery scheme to the locked primary edge node and the locked secondary edge node, wherein as can be understood, since patient a lives/dwells near a generation of decoction workstations, it is likely that the generation of decoction workstations is the primary edge node that is locked.
The preset distribution condition is set according to the electronic prescription and the distribution information. Specifically, the locked secondary edge nodes should have all the types and amounts of medication required in the electronic prescription, and the primary edge nodes should have a delivery capability that allows timely delivery to the target patient.
The method comprises the steps that immediately, a patient A lives in a rural town which is far away, possibly, a local frontier rural hospital does not have medical conditions or other reasons, after the patient A visits a certain city-level hospital, an attending doctor opens an electronic prescription immediately, and under the condition that the patient A agrees, the electronic medical record, the electronic prescription and distribution information provided by the patient A are uploaded to a medicine distribution platform, the cloud end trains the electronic medical record, the electronic prescription and the distribution information of a target patient by adopting an SVM algorithm immediately, a distribution scheme is generated and sent to a locked primary edge node and a locked secondary edge node, and it can be understood that although the patient A lives in the far rural town, the town where the patient A is located has a decoction third party terminal which is a medicine distribution platform with the city-level hospital, namely a decoction workstation. Then, the medicine dispensing platform dispenses the medicine corresponding to the electronic prescription to the decoction workstation according to the dispensing scheme, and the decoction workstation is responsible for decocting and delivering the medicine to the patient a.
In a preferred embodiment, the secondary edge node is a cooperative hospital terminal or a pharmacy terminal, and not only has a medicine library, which can provide all kinds and quantities of medicines on an electronic prescription, but also has the capability of decocting and delivering medicines.
Then, patient a lives/dwells near a certain city level hospital, and after patient a visits the city level hospital on the same day, the attending physician is instantly prescribed an electronic prescription, under the condition of obtaining the consent of the patient A, uploading the electronic medical record, the electronic prescription of the patient A and the delivery information provided by the patient A to a medicine delivery platform (which may be a local background server or a cloud server of the city-level hospital or a medicine delivery cloud server associated with the edge node of the city-level hospital as a cooperative hospital), training the electronic medical record, the electronic prescription and the delivery information of the target patient by the cloud end by adopting an SVM algorithm, generating a delivery scheme and issuing the delivery scheme to the locked edge node, wherein as can be understood, since patient a lives/dwells near the level hospital, it is likely that the level hospital is a locked edge node.
The preset distribution condition is set according to the electronic prescription and the distribution information. Specifically, the locked edge nodes should have all the types and amounts of medicines required by the electronic prescription, and have a considerable delivery capacity, and can be delivered to the target patient in time and amount.
If the patient a lives in a relatively remote village and town, possibly a local frontier village and town hospital does not have medical conditions or other reasons, after the patient a visits a certain city grade hospital, the attending doctor immediately makes an electronic prescription, and under the condition of asking the patient a to agree, the electronic medical record, the electronic prescription and the delivery information provided by the patient a are uploaded to a medicine delivery platform, the cloud end immediately trains the electronic medical record, the electronic prescription and the delivery information of the target patient by adopting an SVM algorithm to generate a delivery scheme and sends the delivery scheme to a locked edge node, it can be understood that, since the patient a lives in the relatively remote village and town, if the village and town hospital in which the patient a locates and the city grade hospital are both cooperative hospital terminals or pharmacy terminals of the medicine delivery platform, the village and town hospital is likely to be the locked edge node, is responsible for dispensing and delivering the medicine to the patient A.
Acquiring weather information, geographical position and traffic conditions of a distribution area corresponding to the edge node, and optimizing the initial distribution scheme, wherein the method can be understood that the medicine distribution platform can count various factors influencing medicine distribution quality, measure, calculate and recommend the optimal distribution scheme.
According to the teaching of the embodiment, a brand-new service mode created by the internet and the internet of things provides a one-stop comprehensive medical service for patients, wherein the one-stop comprehensive medical service comprises medicine delivery, decoction, medical consultation and the like, and the trouble of two links is omitted when the patients see a doctor: first, queue up and take the medicine, second, decoct the medicine. After a user visits a doctor, the prescription is uploaded in a hospital, the system intelligently recognizes the prescription, and all the remaining links of medicine taking, traditional Chinese medicine decoction and delivery are completed for the prescription in the middle and western countries, so that the patient does not need to queue up to buy the medicine in the hospital in person, and the patient can see a doctor to take the medicine as simple and convenient as receiving express.
Referring to fig. 5, in a preferred embodiment, the medical delivery system further includes:
the statistical unit 40 is further configured to collect comment information for a certain edge node, perform statistics after performing semantic recognition on the comment information, and determine whether the edge node is one of the screening parameters of the optimal edge node that meets preset medical delivery conditions or drug allocation.
It is the freedom and rights of consumers to reasonably and fairly comment on any service, and in a specific embodiment, the medicine delivery platform collects comment information of all service objects and performs statistical analysis, especially satisfaction analysis. And using the statistical analysis result as one of the screening parameters of whether the edge node is the best edge node meeting the preset medicine distribution conditions, namely as one of the parameters of the training distribution scheme.
Referring to fig. 6, in a preferred embodiment, the medical delivery system further includes:
and the alarm prompting unit 50 is configured to trigger an alarm prompt when it is detected that the delivery status of the delivery order is not updated within a preset time limit corresponding to any delivery status, and distribute the alarm prompt to all associated terminals, including a cooperative hospital terminal or a pharmacy terminal of the edge node, an attending doctor terminal, and a target patient terminal.
The use and action of the drugs as well-defined products, especially decocted traditional Chinese medicines, are very sensitive to the time requirement, so that the requirements on the medicine distribution quality are very high.
In a specific embodiment, the medical delivery platform strictly controls the time-efficiency of each delivery state to ensure the quality of medical delivery and meet the needs of patients.
According to the teaching of the embodiment, the medicine delivery system searches for a breakthrough for solving the problem of 'difficult and expensive to see a doctor', the medicine delivery platform is directly connected with a cooperative hospital, in the hospital which is cooperative with the medicine delivery platform, a patient does not need to queue for registration, pay and take medicine after seeing a disease in the hospital, after a doctor in traditional Chinese medicine makes a prescription, the patient can go home directly, and only half a day is needed, and medicines prescribed by the doctor and decocted traditional Chinese medicines are all delivered to home through logistics.
The cooperation hospital sends the electronic prescription of the patient to the medicine distribution platform to complete the allocation, the decoction and the distribution of the medicine, simplifies the complex and time-consuming medical observation process into the simple and convenient process of receiving and delivering the medicine, effectively solves the problems of waiting for a doctor to fetch the medicine, decocting the medicine, cross infection and the like, and is convenient, accurate and attentive health service. Shortens the time of taking the medicine in a hospital for the patient, solves various problems existing in the medicine decocting process of the patient and improves the satisfaction degree of the patient in the medical experience.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method of medical delivery, comprising:
acquiring an electronic medical record, an electronic prescription and distribution information of a target patient;
training the electronic medical record, the electronic prescription and the delivery information of the target patient by adopting an SVM algorithm to generate a delivery scheme; the delivery scheme includes:
locking a first-level edge node meeting preset distribution conditions, and generating path planning information for delivering the decocted medicine to the target patient; the first-level edge node is a decoction-substituting third-party terminal, and the preset distribution condition is set according to the electronic prescription and the distribution information;
locking a secondary edge node capable of dispensing a corresponding medication of the electronic prescription to the primary edge node, and generating path planning information for delivering the corresponding medication to the primary edge node; the secondary edge node is a cooperative hospital terminal or a pharmacy terminal;
distributing the distribution scheme to the primary edge node and the secondary edge node simultaneously in a mode of distributing orders;
and receiving the distribution feedback information reported by the primary edge node or the secondary edge node, and updating the distribution state of the distribution order according to the distribution feedback information.
2. A medical delivery method according to claim 1, wherein said training of said target patient's electronic medical record, electronic prescription and delivery information using an SVM algorithm to generate a delivery plan comprises:
setting a Support Vector Machine (SVM) algorithm;
semantically identifying the electronic medical record and the electronic prescription of the target patient and checking the medicine treatment information of the electronic prescription, wherein the information comprises the data integrity of the electronic prescription, the identity authenticity of the role of the electronic prescription, the medical responsibility attribution problem of the electronic prescription and the time credibility of medical behaviors;
after the electronic prescription passes the verification, all related edge nodes are screened step by step according to the electronic prescription and the delivery information until at least one first-level edge node meeting preset delivery conditions and at least one second-level edge node capable of dispensing the corresponding medicine of the electronic prescription to the first-level edge node are screened, and an initial delivery scheme is generated;
acquiring weather information, geographical position and traffic conditions of a distribution area corresponding to the edge node, optimizing the initial distribution scheme, locking an optimal primary edge node meeting preset distribution conditions and an optimal secondary edge node capable of allocating the corresponding medicine of the electronic prescription to the primary edge node, and generating a final distribution scheme.
3. A medical dispensing method as in claim 1 further comprising:
collecting comment information aiming at a certain edge node, carrying out statistics after carrying out semantic recognition on the comment information, and taking the statistics as one of screening parameters of whether the edge node is the optimal edge node meeting preset medicine distribution conditions or medicine allocation.
4. The medical delivery method of claim 1, wherein receiving delivery feedback information reported by the primary edge node or the secondary edge node and updating the delivery status of the delivery order according to the delivery feedback information comprises:
when the delivery feedback information is unprocessed, updating the delivery state of the delivery order to be unprocessed;
when the delivery feedback information indicates that the medicine is being prepared, updating the delivery state of the delivery order to be the medicine being prepared;
when the delivery feedback information indicates that the decoction is being carried out, updating the delivery state of the delivery order to the decoction;
when the delivery feedback information is delivery, updating the delivery state of the delivery order to be delivery;
and when the delivery feedback information is delivered, updating the delivery state of the delivery order to be delivered, and ending the delivery order.
5. A medical dispensing method as in claim 4 further comprising:
and triggering an alarm prompt when detecting that the distribution state of the distribution order is not updated within a preset time limit corresponding to any distribution state, and distributing the alarm prompt to all associated terminals including a cooperative hospital terminal or a pharmacy terminal of the edge node, an attending doctor terminal and a target patient terminal.
6. A medical delivery system, comprising:
the information acquisition unit is used for acquiring the electronic medical record, the electronic prescription and the distribution information of the target patient;
the distribution scheme training unit is used for training the electronic medical record, the electronic prescription and the distribution information of the target patient by adopting an SVM algorithm to generate a distribution scheme; the delivery scheme includes:
locking a first-level edge node meeting preset distribution conditions, and generating path planning information for delivering the decocted medicine to the target patient; the first-level edge node is a decoction-substituting third-party terminal, and the preset distribution condition is set according to the electronic prescription and the distribution information;
locking a secondary edge node capable of dispensing a corresponding medication of the electronic prescription to the primary edge node, and generating path planning information for delivering the corresponding medication to the primary edge node; the secondary edge node is a cooperative hospital terminal or a pharmacy terminal;
the distribution unit is used for simultaneously distributing the distribution scheme to the primary edge node and the secondary edge node in a mode of distributing orders;
and the statistical unit is used for receiving the distribution feedback information reported by the primary edge node or the secondary edge node and updating the distribution state of the distribution order according to the distribution feedback information.
7. A medical delivery system as defined in claim 5, wherein the delivery protocol training unit comprises:
the algorithm setting unit is used for setting a Support Vector Machine (SVM) algorithm;
the information proofreading unit is used for performing semantic recognition on the electronic medical record and the electronic prescription of the target patient and proofreading the medicine treatment information of the electronic prescription, wherein the information proofreading unit comprises the data integrity of the electronic prescription, the identity authenticity of the role participated by the electronic prescription, the medical responsibility attribution problem of the electronic prescription and the time credibility of medical behaviors;
the screening unit is used for screening all related edge nodes step by step according to the electronic prescription and the delivery information after the electronic prescription passes the proofreading until at least one first-level edge node meeting preset delivery conditions and at least one second-level edge node capable of dispensing the corresponding medicine of the electronic prescription to the first-level edge node are screened, and an initial delivery scheme is generated;
and the optimization unit is used for acquiring weather information, geographical positions and traffic conditions of a distribution area corresponding to the edge nodes, optimizing the initial distribution scheme, locking an optimal primary edge node meeting preset distribution conditions and an optimal secondary edge node capable of allocating medicines corresponding to the electronic prescription to the primary edge node, and generating a final distribution scheme.
8. The medical delivery system of claim 6, further comprising:
the statistical unit is further configured to collect comment information for a certain edge node, perform statistics after semantic recognition on the comment information, and use the statistics as one of the screening parameters of the edge node as to whether the edge node is the optimal edge node that satisfies preset medical delivery conditions or drug allocation.
9. A medical delivery system as defined in claim 6, wherein the statistical unit is specifically configured to:
when the delivery feedback information is unprocessed, updating the delivery state of the delivery order to be unprocessed;
when the delivery feedback information indicates that the medicine is being prepared, updating the delivery state of the delivery order to be the medicine being prepared;
when the delivery feedback information indicates that the decoction is being carried out, updating the delivery state of the delivery order to the decoction;
when the delivery feedback information is delivery, updating the delivery state of the delivery order to be delivery;
and when the delivery feedback information is delivered, updating the delivery state of the delivery order to be delivered, and ending the delivery order.
10. A medical delivery system as defined in claim 9, further comprising:
and the alarm prompting unit is used for triggering an alarm prompt and distributing the alarm prompt to all associated terminals including a cooperative hospital terminal or a pharmacy terminal of the edge node, an attending doctor terminal and a target patient terminal when detecting that the distribution state of the distribution order is not updated within a preset time limit corresponding to any distribution state.
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