CN117035402B - Drug risk management and control method and system - Google Patents
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Abstract
The invention provides a drug risk management and control method and a drug risk management and control system, wherein the method comprises the following steps: monitoring drug dynamics; determining the drug risk based on the drug dynamics and a preset risk trigger library; tracking a risk course of the drug risk; and performing risk management and control based on the risk process and a preset risk management and control library. According to the drug risk management and control method and system, the drug risk is determined in a self-adaptive mode and risk management and control are carried out, manual completion is not needed, labor cost is reduced, and management and control efficiency is improved.
Description
Technical Field
The invention relates to the technical field of drug risk management and control, in particular to a drug risk management and control method and system.
Background
At present, the medicine industry is one of the emerging industries with the most active innovation and the most rapid development in the new technological revolution and the industry transformation, and is also an important component part of the life health industry, so that the life health and the folk welfare of people are related.
Drug alerts are activities that monitor, identify, evaluate and control adverse drug reactions and other adverse drug-related reactions. The formal implementation of the drug alert quality management standard is an important measure for implementing the drug alert system of the drug management method of the people's republic of China, is a key factor for gradually blending the global drug alert development pattern in the medical industry, and is a technical guarantee for guaranteeing the drug use safety of the public and comprehensively promoting the construction of healthy cities. The drug alert quality management standard requires two main lines of drug alert activities to be built around a drug alert system and drug risk management, embody the management concept of the whole life cycle of drugs, adhere to the principle of drug risk management, define the responsible undertakers of the drug alert subject, and plan the international development blueprint of enterprises.
However, the management and control of the drug risk are mostly completed by manpower, so that the labor cost is high and the management and control efficiency is low. Thus, a solution is needed.
Disclosure of Invention
The invention aims at providing a drug risk management and control method which is capable of adaptively determining drug risk and managing and controlling risk without being completed manually, thereby reducing labor cost and improving management and control efficiency.
The drug risk management and control method provided by the embodiment of the invention comprises the following steps:
monitoring drug dynamics;
determining the drug risk based on the drug dynamics and a preset risk trigger library;
tracking the risk progress of the drug risk;
and performing risk management and control based on the risk process and a preset risk management and control library.
Preferably, monitoring drug dynamics comprises:
acquiring a preset monitoring node set;
monitoring drug dynamics by a plurality of monitoring nodes in a monitoring node set;
and/or the number of the groups of groups,
acquiring medicine dynamics input by a user; the user includes: physicians, patients, and drug warehouse management personnel;
and/or the number of the groups of groups,
acquiring the drug dynamic transferred by a third party platform; the third party platform includes: an online medicine purchasing platform and a medicine purchasing platform.
Preferably, determining the drug risk based on the drug dynamics and a preset risk trigger library includes:
matching the drug dynamics with risk trigger dynamics in a risk trigger library;
and when the matching is met, determining the risk triggering dynamic corresponding medicine risk which is met by the matching from the risk triggering library.
Preferably, tracking a risk course of drug risk includes:
analyzing a first risk type of the drug risk;
determining a plurality of first tracking rules corresponding to the first risk type from a preset process tracking rule base;
integrating a plurality of first tracking rules to obtain a first process tracking template;
tracking a risk process based on the first process tracking template;
and/or the number of the groups of groups,
acquiring a preset additional information verification condition set corresponding to the first risk type;
acquiring additional information of a first risk type based on a preset information acquisition template;
determining whether the additional information meets an additional information verification condition in the additional information verification condition set;
if yes, acquiring and analyzing a second risk type of the preset secondary risk corresponding to the matched additional information verification condition;
determining a plurality of second tracking rules corresponding to the second risk type from a process tracking rule library;
integrating a plurality of second tracking rules to obtain a second process tracking template;
tracking a risk process based on the second process tracking template;
and/or the number of the groups of groups,
based on a preset first feature extraction template, extracting features of a currently tracked risk process to obtain a plurality of first process features;
constructing a reference information set based on the first risk type, the second risk type and the plurality of first process features;
delivering the reference information set to an on-line preset expert node;
acquiring a plurality of third tracking rules returned by a preset expert node;
integrating a plurality of third tracking rules to obtain a third process tracking template;
and tracking a risk process based on the third process tracking template.
Preferably, based on a risk process and a preset risk management and control library, performing risk management and control includes:
acquiring the generation time corresponding to the risk process generated in the latest preset time;
setting a risk process on a preset time axis based on the generation time;
based on a preset second feature extraction template, carrying out feature extraction on the relative position relationship between every two risk processes on the time axis and every two risk processes on the time axis to obtain a plurality of second process features;
constructing a drug risk situation description vector based on the plurality of second process features;
matching the drug risk situation description vector with a standard description vector in a risk management and control library to obtain matching degree;
determining a first risk management and control measure corresponding to a standard description vector of the maximum matching degree from a risk management and control library;
executing a first risk management and control measure to manage and control risks;
and/or the number of the groups of groups,
determining a risk value based on the first risk type and a preset risk value comparison table;
when the risk value is smaller than or equal to a preset risk threshold value, determining the waiting time based on the risk value and a preset waiting time comparison table;
starting timing;
delivering the risk process to a plurality of preset verification nodes corresponding to the first risk type;
acquiring a second risk management and control measure returned by the verification node and a corresponding effect value;
and when the timing duration reaches the waiting duration, executing a second risk management and control measure corresponding to the maximum effect value, and performing risk management and control.
The drug risk management and control system provided by the embodiment of the invention comprises:
the medicine dynamic monitoring module is used for monitoring medicine dynamic;
the medicine risk determining module is used for determining medicine risks based on medicine dynamics and a preset risk triggering library;
the risk process tracking module is used for tracking the risk process of the drug risk;
and the risk management and control module is used for managing and controlling risks based on the risk process and a preset risk management and control library.
Preferably, the drug dynamics monitoring module monitors drug dynamics and performs the following operations:
acquiring a preset monitoring node set;
monitoring drug dynamics by a plurality of monitoring nodes in a monitoring node set;
and/or the number of the groups of groups,
acquiring medicine dynamics input by a user; the user includes: physicians, patients, and drug warehouse management personnel;
and/or the number of the groups of groups,
acquiring the drug dynamic transferred by a third party platform; the third party platform includes: an online medicine purchasing platform and a medicine purchasing platform.
Preferably, the drug risk determination module determines a drug risk based on a drug dynamics and a preset risk trigger library, and performs the following operations:
matching the drug dynamics with risk trigger dynamics in a risk trigger library;
and when the matching is met, determining the risk triggering dynamic corresponding medicine risk which is met by the matching from the risk triggering library.
Preferably, the risk process tracking module tracks the risk process of the drug risk, and performs the following operations:
analyzing a first risk type of the drug risk;
determining a plurality of first tracking rules corresponding to the first risk type from a preset process tracking rule base;
integrating a plurality of first tracking rules to obtain a first process tracking template;
tracking a risk process based on the first process tracking template;
and/or the number of the groups of groups,
acquiring a preset additional information verification condition set corresponding to the first risk type;
acquiring additional information of a first risk type based on a preset information acquisition template;
determining whether the additional information meets an additional information verification condition in the additional information verification condition set;
if yes, acquiring and analyzing a second risk type of the preset secondary risk corresponding to the matched additional information verification condition;
determining a plurality of second tracking rules corresponding to the second risk type from a process tracking rule library;
integrating a plurality of second tracking rules to obtain a second process tracking template;
tracking a risk process based on the second process tracking template;
and/or the number of the groups of groups,
based on a preset first feature extraction template, extracting features of a currently tracked risk process to obtain a plurality of first process features;
constructing a reference information set based on the first risk type, the second risk type and the plurality of first process features;
delivering the reference information set to an on-line preset expert node;
acquiring a plurality of third tracking rules returned by a preset expert node;
integrating a plurality of third tracking rules to obtain a third process tracking template;
and tracking a risk process based on the third process tracking template.
Preferably, the risk management and control module performs risk management and control based on a risk process and a preset risk management and control library, and performs the following operations:
acquiring the generation time corresponding to the risk process generated in the latest preset time;
setting a risk process on a preset time axis based on the generation time;
based on a preset second feature extraction template, carrying out feature extraction on the relative position relationship between every two risk processes on the time axis and every two risk processes on the time axis to obtain a plurality of second process features;
constructing a drug risk situation description vector based on the plurality of second process features;
matching the drug risk situation description vector with a standard description vector in a risk management and control library to obtain matching degree;
determining a first risk management and control measure corresponding to a standard description vector of the maximum matching degree from a risk management and control library;
executing a first risk management and control measure to manage and control risks;
and/or the number of the groups of groups,
determining a risk value based on the first risk type and a preset risk value comparison table;
when the risk value is smaller than or equal to a preset risk threshold value, determining the waiting time based on the risk value and a preset waiting time comparison table;
starting timing;
delivering the risk process to a plurality of preset verification nodes corresponding to the first risk type;
acquiring a second risk management and control measure returned by the verification node and a corresponding effect value;
and when the timing duration reaches the waiting duration, executing a second risk management and control measure corresponding to the maximum effect value, and performing risk management and control.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a drug risk management method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a drug risk management system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a drug risk management and control method, which is shown in fig. 1 and comprises the following steps:
step S1: monitoring drug dynamics; drug dynamics include: vending dynamics, taking dynamics, etc. of the medicine, such as: what drugs are sold to which patient, age, medical history information of the patient, etc., further such as: a drug for simultaneous use when the patient takes the drug, etc.;
step S2: determining the drug risk based on the drug dynamics and a preset risk trigger library; drug risk includes: patients who may have adverse reactions after selling the medicines and the like, and patients take the medicines together with other medicines which may cause adverse reactions;
step S3: tracking the risk progress of the drug risk; the risk process is the process to which the drug risk develops, such as: response after patient administration, etc.;
step S4: and performing risk management and control based on the risk process and a preset risk management and control library. Such as: when adverse reaction occurs to the patient, relevant medical staff are scheduled to intervene, diagnose, rescue and the like immediately.
The working principle and the beneficial effects of the technical scheme are as follows:
the self-adaptive drug risk determination and risk management and control method has the advantages that drug risk is self-adaptively determined and risk management and control are performed, manual completion is not needed, labor cost is reduced, and management and control efficiency is improved.
In one embodiment, monitoring drug dynamics includes:
acquiring a preset monitoring node set;
monitoring drug dynamics by a plurality of monitoring nodes in a monitoring node set; the monitoring node comprises: network nodes for network communication through which drug dynamics can be acquired, such as: a network node which is in butt joint with a medicine selling record electronic system in a hospital can acquire what medicine is sold to which patient, age, medical history information and the like of the patient;
and/or the number of the groups of groups,
acquiring medicine dynamics input by a user; the user includes: physicians, patients, and drug warehouse management personnel; the doctors, patients and drug warehouse management personnel can also input drug dynamics by themselves;
and/or the number of the groups of groups,
acquiring the drug dynamic transferred by a third party platform; the third party platform includes: an online medicine purchasing platform and a medicine purchasing platform. The dynamic medicine transferring can be forwarded by a third party platform such as an online medicine purchasing platform, a medicine purchasing platform and the like.
The working principle and the beneficial effects of the technical scheme are as follows:
three modes are introduced to monitor the medicine dynamic state, so that the comprehensiveness of medicine dynamic state monitoring is improved, and the applicability of the system is improved.
In one embodiment, determining drug risk based on drug dynamics and a preset risk trigger library comprises:
matching the drug dynamics with risk trigger dynamics in a risk trigger library; the risk triggering dynamic includes: drug dynamics at risk for drugs, such as: patients who may have adverse reactions after the medicine is sold to the patients;
and when the matching is met, determining the risk triggering dynamic corresponding medicine risk which is met by the matching from the risk triggering library. The risk triggering dynamic one-to-one correspondence has medicine risks, and when the medicine dynamic is matched with the risk triggering dynamic, the corresponding medicine risks are output.
In one embodiment, tracking risk progression of drug risk includes:
analyzing a first risk type of the drug risk; the first risk type includes: patients who may have adverse reactions after the medicines are sold to the patients, patients take other medicines which may have adverse reactions with the medicines and the medicines;
determining a plurality of first tracking rules corresponding to the first risk type from a preset process tracking rule base; the first tracking rule is a rule for tracking a risk course of a drug risk under a first risk type, such as: the first risk type is that the medicine is sold to a patient who possibly has adverse reaction after taking, and the first tracking rule is that the medicine taking frequency, the reaction after taking and the like of the patient are tracked;
integrating a plurality of first tracking rules to obtain a first process tracking template;
tracking a risk process based on the first process tracking template; the template is obtained after the rules are integrated, and when the system tracks, the rules in the template are executed one by one, so that the tracking of the risk process is realized;
and/or the number of the groups of groups,
acquiring a preset additional information verification condition set corresponding to the first risk type;
acquiring additional information of a first risk type based on a preset information acquisition template;
determining whether the additional information meets an additional information verification condition in the additional information verification condition set;
if yes, acquiring and analyzing a second risk type of the preset secondary risk corresponding to the matched additional information verification condition; when the additional information meets the additional information verification condition, indicating that the drug risk occurs, secondary risk may occur, for example: the first risk type is that the patient takes other medicines which can cause adverse reactions with the medicines, the secondary risk is that the probability of adverse reactions of the aged after the medicines are combined with the other medicines is high, the additional information verification condition is that the patient takes the medicines and the aged, the additional information is the age of the patient, if the additional information accords with the additional information verification condition, the patient is the aged, the probability of adverse reactions is high, and the secondary risk is triggered; the comprehensive risk process tracking can be greatly improved by using the tracking means;
determining a plurality of second tracking rules corresponding to the second risk type from a process tracking rule library; the second tracking rule is the same as the first tracking rule;
integrating a plurality of second tracking rules to obtain a second process tracking template;
tracking a risk process based on the second process tracking template; the second process tracking template is the same as the first process tracking template;
and/or the number of the groups of groups,
based on a preset first feature extraction template, extracting features of a currently tracked risk process to obtain a plurality of first process features; the first process feature includes: occurrence time of a risk process, details of the risk process and the like;
constructing a reference information set based on the first risk type, the second risk type and the plurality of first process features;
delivering the reference information set to an on-line preset expert node; the preset expert node is a communication node, is in butt joint with an expert for determining how to track the risk process, and can formulate a third tracking rule after the reference information set is delivered to the preset expert node;
acquiring a plurality of third tracking rules returned by a preset expert node; the third tracking rule is the same as the first tracking rule;
integrating a plurality of third tracking rules to obtain a third process tracking template;
and tracking a risk process based on the third process tracking template. The third process tracking template is the same as the first process tracking template.
The working principle and the beneficial effects of the technical scheme are as follows:
three ways of tracking the risk process are introduced, so that the comprehensiveness of risk process tracking is improved, and the applicability of the system is improved.
In one embodiment, performing risk management and control based on a risk process and a preset risk management and control library includes:
acquiring the generation time corresponding to the risk process generated in the latest preset time; the preset time may be, for example: 12 hours;
setting a risk process on a preset time axis based on the generation time; when the risk process is set, the risk process is set at a time position corresponding to the generation time on the time axis;
based on a preset second feature extraction template, carrying out feature extraction on the relative position relationship between every two risk processes on the time axis and every two risk processes on the time axis to obtain a plurality of second process features; the second process feature includes: the occurrence time of the risk processes on the time axis, the details of the risk processes, the maximum value, the average value, the minimum value and the like of the distance between every two risk processes on the time axis;
constructing a drug risk situation description vector based on the plurality of second process features; constructing a drug risk situation description vector by using a plurality of second process features in a vector form;
matching the drug risk situation description vector with a standard description vector in a risk management and control library to obtain matching degree; the content of the pre-constructed standard description vector is the same as the second process characteristic; the standard description vectors are in one-to-one correspondence with first risk management and control measures;
determining a first risk management and control measure corresponding to a standard description vector of the maximum matching degree from a risk management and control library; the larger the matching degree between the drug risk situation description vector and the standard description vector is, the more suitable the first risk management and control measure corresponding to the standard description vector is for managing and controlling the current drug risk;
executing a first risk management and control measure to manage and control risks;
and/or the number of the groups of groups,
determining a risk value based on the first risk type and a preset risk value comparison table; the risk value comparison table has risk values corresponding to different first risk types, and the greater the risk value is, the greater the risk degree of the medicine risk under the first risk type is;
when the risk value is smaller than or equal to a preset risk threshold value, determining the waiting time based on the risk value and a preset waiting time comparison table; the risk threshold may be, for example: 75; the waiting time length comparison table has waiting time lengths corresponding to different risk values, and the smaller the risk value is, the larger the waiting time length is;
starting timing;
delivering the risk process to a plurality of preset verification nodes corresponding to the first risk type; the verification node is a communication node and is in butt joint with expert personnel for verifying the effect of the related management and control measures of the risk process; after the risk process is delivered to the verification node, the expert personnel can perform effect verification on the related management and control measures of the risk process, and return a second risk management and control measure and a corresponding effect value, wherein the larger the effect value is, the larger the verification effect is;
acquiring a second risk management and control measure returned by the verification node and a corresponding effect value;
and when the timing duration reaches the waiting duration, executing a second risk management and control measure corresponding to the maximum effect value, and performing risk management and control.
The working principle and the beneficial effects of the technical scheme are as follows:
the two ways are introduced to conduct risk management and control, timeliness and comprehensiveness of risk management and control are improved, and applicability of the system is improved.
The embodiment of the invention provides a drug risk management and control system, as shown in fig. 2, comprising:
the medicine dynamic monitoring module 1 is used for monitoring medicine dynamic;
the medicine risk determining module 2 is used for determining medicine risks based on medicine dynamics and a preset risk triggering library;
the risk process tracking module 3 is used for tracking the risk process of the drug risk;
and the risk management and control module 4 is used for managing and controlling risks based on the risk process and a preset risk management and control library.
The medicine dynamic monitoring module 1 monitors medicine dynamic and performs the following operations:
acquiring a preset monitoring node set;
monitoring drug dynamics by a plurality of monitoring nodes in a monitoring node set;
and/or the number of the groups of groups,
acquiring medicine dynamics input by a user; the user includes: physicians, patients, and drug warehouse management personnel;
and/or the number of the groups of groups,
acquiring the drug dynamic transferred by a third party platform; the third party platform includes: an online medicine purchasing platform and a medicine purchasing platform.
The drug risk determination module 2 determines the drug risk based on the drug dynamics and a preset risk trigger library, and performs the following operations:
matching the drug dynamics with risk trigger dynamics in a risk trigger library;
and when the matching is met, determining the risk triggering dynamic corresponding medicine risk which is met by the matching from the risk triggering library.
The risk process tracking module 3 tracks the risk process of the drug risk, and performs the following operations:
analyzing a first risk type of the drug risk;
determining a plurality of first tracking rules corresponding to the first risk type from a preset process tracking rule base;
integrating a plurality of first tracking rules to obtain a first process tracking template;
tracking a risk process based on the first process tracking template;
and/or the number of the groups of groups,
acquiring a preset additional information verification condition set corresponding to the first risk type;
acquiring additional information of a first risk type based on a preset information acquisition template;
determining whether the additional information meets an additional information verification condition in the additional information verification condition set;
if yes, acquiring and analyzing a second risk type of the preset secondary risk corresponding to the matched additional information verification condition;
determining a plurality of second tracking rules corresponding to the second risk type from a process tracking rule library;
integrating a plurality of second tracking rules to obtain a second process tracking template;
tracking a risk process based on the second process tracking template;
and/or the number of the groups of groups,
based on a preset first feature extraction template, extracting features of a currently tracked risk process to obtain a plurality of first process features;
constructing a reference information set based on the first risk type, the second risk type and the plurality of first process features;
delivering the reference information set to an on-line preset expert node;
acquiring a plurality of third tracking rules returned by a preset expert node;
integrating a plurality of third tracking rules to obtain a third process tracking template;
and tracking a risk process based on the third process tracking template.
The risk management and control module 4 performs risk management and control based on a risk process and a preset risk management and control library, and performs the following operations:
acquiring the generation time corresponding to the risk process generated in the latest preset time;
setting a risk process on a preset time axis based on the generation time;
based on a preset second feature extraction template, carrying out feature extraction on the relative position relationship between every two risk processes on the time axis and every two risk processes on the time axis to obtain a plurality of second process features;
constructing a drug risk situation description vector based on the plurality of second process features;
matching the drug risk situation description vector with a standard description vector in a risk management and control library to obtain matching degree;
determining a first risk management and control measure corresponding to a standard description vector of the maximum matching degree from a risk management and control library;
executing a first risk management and control measure to manage and control risks;
and/or the number of the groups of groups,
determining a risk value based on the first risk type and a preset risk value comparison table;
when the risk value is smaller than or equal to a preset risk threshold value, determining the waiting time based on the risk value and a preset waiting time comparison table;
starting timing;
delivering the risk process to a plurality of preset verification nodes corresponding to the first risk type;
acquiring a second risk management and control measure returned by the verification node and a corresponding effect value;
and when the timing duration reaches the waiting duration, executing a second risk management and control measure corresponding to the maximum effect value, and performing risk management and control.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. A method for managing and controlling risk of a drug, comprising:
monitoring drug dynamics;
determining the drug risk based on the drug dynamics and a preset risk trigger library;
tracking a risk course of the drug risk;
performing risk management and control based on the risk process and a preset risk management and control library;
the risk course tracking the risk of the drug comprises:
resolving a first risk type of the drug risk;
determining a plurality of first tracking rules corresponding to the first risk type from a preset process tracking rule base;
integrating the plurality of first tracking rules to obtain a first process tracking template;
tracking the risk process based on the first process tracking template;
and/or the number of the groups of groups,
acquiring a preset additional information verification condition set corresponding to the first risk type;
acquiring additional information of the first risk type based on a preset information acquisition template;
determining whether the additional information meets an additional information verification condition in the additional information verification condition set;
if yes, acquiring and analyzing a second risk type of the preset secondary risk corresponding to the additional information verification condition;
determining a plurality of second tracking rules corresponding to the second risk type from the process tracking rule library;
integrating the plurality of second tracking rules to obtain a second process tracking template;
tracking the risk process based on the second process tracking template;
and/or the number of the groups of groups,
performing feature extraction on the currently tracked risk process based on a preset first feature extraction template to obtain a plurality of first process features;
constructing a reference information set based on the first risk type, the second risk type, and the plurality of first process features;
delivering the reference information set to an on-line preset expert node;
acquiring a plurality of third tracking rules returned by the preset expert node;
integrating the plurality of third tracking rules to obtain a third process tracking template;
tracking the risk process based on the third process tracking template;
based on the risk process and a preset risk management and control library, performing risk management and control, including:
acquiring the generation time corresponding to the risk process generated in the latest preset time;
setting the risk process on a preset time axis based on the generation time;
based on a preset second feature extraction template, extracting features of the risk processes on the time axis and the relative position relationship between every two risk processes on the time axis to obtain a plurality of second process features;
constructing a drug risk situation description vector based on the plurality of second process features;
matching the drug risk situation description vector with a standard description vector in the risk management and control library to obtain matching degree;
determining a first risk management measure corresponding to the standard description vector with the maximum matching degree from the risk management library;
executing the first risk management and control measure to manage and control risks;
and/or the number of the groups of groups,
determining a risk value based on the first risk type and a preset risk value comparison table;
when the risk value is smaller than or equal to a preset risk threshold value, determining waiting time based on the risk value and a preset waiting time comparison table;
starting timing;
delivering the risk process to a plurality of preset verification nodes corresponding to the first risk type;
acquiring a second risk management and control measure returned by the verification node and a corresponding effect value;
and when the timing duration reaches the waiting duration, executing the second risk management and control measure corresponding to the maximum effect value, and performing risk management and control.
2. The method of claim 1, wherein said monitoring drug dynamics comprises:
acquiring a preset monitoring node set;
monitoring the drug dynamics by a plurality of monitoring nodes in the monitoring node set;
and/or the number of the groups of groups,
acquiring the medicine dynamics input by a user; the user includes: physicians, patients, and drug warehouse management personnel;
and/or the number of the groups of groups,
acquiring the drug dynamic transferred by a third party platform; the third party platform includes: an online medicine purchasing platform and a medicine purchasing platform.
3. The method of claim 1, wherein determining the drug risk based on the drug dynamics and a preset risk trigger library comprises:
matching the drug dynamics with risk trigger dynamics in the risk trigger library;
and when the matching is met, determining that the risk triggering which is met by the matching corresponds to the drug risk dynamically from the risk triggering library.
4. A medication risk management and control system, comprising:
the medicine dynamic monitoring module is used for monitoring medicine dynamic;
the medicine risk determining module is used for determining medicine risks based on medicine dynamics and a preset risk triggering library;
the risk process tracking module is used for tracking the risk process of the drug risk;
the risk management and control module is used for managing and controlling risks based on the risk process and a preset risk management and control library;
the risk process tracking module tracks the risk process of the drug risk and executes the following operations:
resolving a first risk type of the drug risk;
determining a plurality of first tracking rules corresponding to the first risk type from a preset process tracking rule base;
integrating the plurality of first tracking rules to obtain a first process tracking template;
tracking the risk process based on the first process tracking template;
and/or the number of the groups of groups,
acquiring a preset additional information verification condition set corresponding to the first risk type;
acquiring additional information of the first risk type based on a preset information acquisition template;
determining whether the additional information meets an additional information verification condition in the additional information verification condition set;
if yes, acquiring and analyzing a second risk type of the preset secondary risk corresponding to the additional information verification condition;
determining a plurality of second tracking rules corresponding to the second risk type from the process tracking rule library;
integrating the plurality of second tracking rules to obtain a second process tracking template;
tracking the risk process based on the second process tracking template;
and/or the number of the groups of groups,
performing feature extraction on the currently tracked risk process based on a preset first feature extraction template to obtain a plurality of first process features;
constructing a reference information set based on the first risk type, the second risk type, and the plurality of first process features;
delivering the reference information set to an on-line preset expert node;
acquiring a plurality of third tracking rules returned by the preset expert node;
integrating the plurality of third tracking rules to obtain a third process tracking template;
tracking the risk process based on the third process tracking template;
the risk management and control module performs risk management and control based on the risk process and a preset risk management and control library, and performs the following operations:
acquiring the generation time corresponding to the risk process generated in the latest preset time;
setting the risk process on a preset time axis based on the generation time;
based on a preset second feature extraction template, extracting features of the risk processes on the time axis and the relative position relationship between every two risk processes on the time axis to obtain a plurality of second process features;
constructing a drug risk situation description vector based on the plurality of second process features;
matching the drug risk situation description vector with a standard description vector in the risk management and control library to obtain matching degree;
determining a first risk management measure corresponding to the standard description vector with the maximum matching degree from the risk management library;
executing the first risk management and control measure to manage and control risks;
and/or the number of the groups of groups,
determining a risk value based on the first risk type and a preset risk value comparison table;
when the risk value is smaller than or equal to a preset risk threshold value, determining waiting time based on the risk value and a preset waiting time comparison table;
starting timing;
delivering the risk process to a plurality of preset verification nodes corresponding to the first risk type;
acquiring a second risk management and control measure returned by the verification node and a corresponding effect value;
and when the timing duration reaches the waiting duration, executing the second risk management and control measure corresponding to the maximum effect value, and performing risk management and control.
5. The medication risk management system of claim 4 wherein said medication dynamics monitoring module monitors medication dynamics and performs the following operations:
acquiring a preset monitoring node set;
monitoring the drug dynamics by a plurality of monitoring nodes in the monitoring node set;
and/or the number of the groups of groups,
acquiring the medicine dynamics input by a user; the user includes: physicians, patients, and drug warehouse management personnel;
and/or the number of the groups of groups,
acquiring the drug dynamic transferred by a third party platform; the third party platform includes: an online medicine purchasing platform and a medicine purchasing platform.
6. The medication risk management system of claim 4 wherein said medication risk determination module determines medication risk based on medication dynamics and a preset risk trigger library, performing the following:
matching the drug dynamics with risk trigger dynamics in the risk trigger library;
and when the matching is met, determining that the risk triggering which is met by the matching corresponds to the drug risk dynamically from the risk triggering library.
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| CN109118253A (en) * | 2018-08-22 | 2019-01-01 | 泰康保险集团股份有限公司 | Block chain drug management-control method, device, medium and electronic equipment |
| CN114298484A (en) * | 2021-12-03 | 2022-04-08 | 阿里健康科技(杭州)有限公司 | Drug risk identification method, device, equipment and storage medium |
| CN114444866A (en) * | 2021-12-27 | 2022-05-06 | 航天信息股份有限公司 | Method and system for supervising drug risk data information |
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| CN109118253A (en) * | 2018-08-22 | 2019-01-01 | 泰康保险集团股份有限公司 | Block chain drug management-control method, device, medium and electronic equipment |
| CN114298484A (en) * | 2021-12-03 | 2022-04-08 | 阿里健康科技(杭州)有限公司 | Drug risk identification method, device, equipment and storage medium |
| CN114444866A (en) * | 2021-12-27 | 2022-05-06 | 航天信息股份有限公司 | Method and system for supervising drug risk data information |
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