CN117316373A - HIS-based medicine whole-flow supervision system and method thereof - Google Patents
HIS-based medicine whole-flow supervision system and method thereof Download PDFInfo
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- 239000003814 drug Substances 0.000 title claims abstract description 229
- 238000000034 method Methods 0.000 title claims abstract description 33
- 229940079593 drug Drugs 0.000 claims abstract description 123
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000012377 drug delivery Methods 0.000 claims abstract description 12
- 238000007726 management method Methods 0.000 claims abstract description 7
- 238000013329 compounding Methods 0.000 claims abstract description 4
- 238000003672 processing method Methods 0.000 claims abstract description 4
- 230000006378 damage Effects 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000007789 sealing Methods 0.000 claims description 3
- 239000013583 drug formulation Substances 0.000 claims description 2
- 238000004806 packaging method and process Methods 0.000 claims description 2
- 238000000605 extraction Methods 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000003745 diagnosis Methods 0.000 abstract description 3
- 238000002360 preparation method Methods 0.000 abstract description 3
- 208000035473 Communicable disease Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006806 disease prevention Effects 0.000 description 1
- 238000001647 drug administration Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 229960005486 vaccine Drugs 0.000 description 1
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Abstract
The invention relates to the technical field of medical treatment, in particular to a drug whole-flow supervision system and a method thereof based on HIS, wherein the drug whole-flow supervision system comprises the following steps: and a storage recording module: the distributed processing method is used for carrying out distributed processing on the acquired medicine information data based on a clustering algorithm through scanning photographing; an information receiving module: for receiving compounding information of the drug based on the HIS; and a medicine preparation module: the drug delivery system is used for searching and outputting drug position information according to the allocation information of the drugs and carrying out drug delivery; drug delivery module: and the system is used for carrying out ex-warehouse management on the prepared medicines by scanning, photographing and recording the medicine information data. The invention improves the storage and information extraction efficiency of the medicine information based on the distributed processing of the medicine information, improves the distributed storage capacity of the system on the medicine information, obtains complete and effective medicine allocation information on the HIS line to allocate and process the medicine, realizes the supervision of the whole medicine flow, and is beneficial to timely diagnosis and treatment of patients.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a drug whole-flow supervision system and a drug whole-flow supervision method based on HIS.
Background
Along with the rapid development of medicine and the great demand for medicines, the importance of medicine safety is gradually increased, and particularly, how to realize reliable and effective safety supervision for vaccines and infectious disease prevention and treatment medicines is also one of the most concerned problems of the current masses. However, since the electronic supervision codes gradually exit the history stage and the enterprises are hard to obtain more effective drug supervision solutions, how to realize effective supervision of drugs has become a problem to be solved in the medical field.
In the prior art, the effective supervision of medicines is realized through an independent medicine supervision system, most of the medicines are taken through paper prescription in the prior hospitals, the problems that the paper prescription is easy to lose or the writing is unclear and the like are unfavorable for the timely diagnosis and treatment of patients, when more medicine information data are stored in a medicine information database, the storage speed and the extraction speed of the medicine information are greatly reduced, the system is easy to collapse, and therefore the medicine information cannot be input or extracted, so that the problem that needs to be solved in the prior art is how to realize the rapid storage and extraction of the medicine information data.
Disclosure of Invention
The invention aims to solve the defects in the background technology by providing a drug whole-flow supervision system based on HIS and a method thereof.
The technical scheme adopted by the invention is as follows:
providing a HIS-based drug whole-flow supervision system, comprising:
and a storage recording module: the distributed processing method is used for carrying out distributed processing on the acquired medicine information data based on a clustering algorithm through scanning photographing;
an information receiving module: for receiving compounding information of the drug based on the HIS;
and a medicine preparation module: the drug delivery system is used for searching drug position information according to the allocation information of the drugs and carrying out drug output and transmission;
drug delivery module: the system is used for carrying out ex-warehouse management on the prepared medicines by scanning, photographing and recording medicine information data;
medicine destruction module: and the device is used for destroying the allocated and destroyed medicines by scanning, photographing and recording medicine information data.
As a preferred technical scheme of the invention: and the storage recording module performs distributed processing on the medicine information data and performs corresponding recording and storage.
As a preferred technical scheme of the invention: the distributed processing is specifically as follows:
calculating attribute distance D (x, y) of medicine information x and y:
clustering and dividing the drug information data based on the attribute distance of the drug information and the k_means algorithm;
computing cluster x i And cluster x j Inter-cluster distance d (x) i ，x j )：
Wherein x is iu For cluster x i The (u) th drug information cluster data, y jv Is y jv The v-th drug information cluster data, d (x iu ，y jv ) Clustering data x for drug information iu Clustering data y with drug information jv Is a distance of (2);
setting an objective function E:
wherein x is a cluster set, c i Representing subset k i K is the number of clusters;
dividing the threshold value based on the value of the objective function E to divide the medicine information data, controlling the storage elasticity δ (z) of the divided medicine information data by the granularity epsilon, and expressing the coverage association Δδ (z) corresponding to the random time τ by the following formula:
wherein epsilon is granularity rate of drug information data, and delta t is distributed storage gradient of drug information data;
describing distributed storage intensity index based on
Wherein E [ delta (z) ] is an elasticity expected value of delta (z), and ρ is the compliance degree of the drug information distributed data;
the calculation of the drug information data elasticity delta (z) and the drug information data distributed storage gradient deltat is completed based on the following steps:
distributed storage of drug information data is performed based on the following formula:
wherein z is * The method is used for representing the distributed storage of the medicine information data, s (z) is the medicine information data received by the current scanning, and w (z) is the adoption probability of the data.
As a preferred technical scheme of the invention: and the storage recording module is used for updating the medicine information according to the information fed back by the medicine delivery module and the medicine destruction module.
As a preferred technical scheme of the invention: and the allocation information of the medicines received by the information receiving module is acquired according to the complete prescription information uploaded based on the HIS.
As a preferred technical scheme of the invention: the complete prescription information includes prescription number, preamble, text, postamble and prescription-enabled doctor signature.
As a preferred technical scheme of the invention: and the medicine allocation module transmits the searched and output medicine to a warehouse outlet or a destruction place according to allocation information.
As a preferred technical scheme of the invention: the medicine destroying module also performs sealing and packaging treatment on the medicines after the sales destroying treatment.
The medicine whole-flow supervision method based on HIS comprises the following steps:
s1: the method comprises the steps of carrying out distributed processing on medicine information data of medicines acquired by hospitals based on a clustering algorithm, and collecting and warehousing storage of the medicine information data;
s2: receiving allocation information of the medicine based on the HIS;
s3: searching for medicines and transmitting medicines according to the allocation information of the medicines;
s4: and carrying out ex-warehouse management or destruction treatment on the medicines according to the allocation information of the medicines.
Compared with the prior art, the HIS-based medicine whole-flow supervision system and the HIS-based medicine whole-flow supervision method have the beneficial effects that:
the invention improves the storage and information extraction efficiency of the medicine information based on the distributed processing of the medicine information, improves the distributed storage capacity of the system on the medicine information, obtains complete and effective medicine allocation information on the HIS line to allocate and process the medicine, realizes the supervision of the whole medicine flow, and is beneficial to timely diagnosis and treatment of patients.
Drawings
FIG. 1 is a system block diagram of a preferred embodiment of the present invention;
FIG. 2 is a flow chart of a method in a preferred embodiment of the invention.
The meaning of each label in the figure is: 100. a storage recording module; 200. an information receiving module; 300. a drug deployment module; 400. a drug delivery module; 500. and a medicine destroying module.
Detailed Description
It should be noted that, under the condition of no conflict, the embodiments of the present embodiments and features in the embodiments may be combined with each other, and 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 obviously, the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a preferred embodiment of the present invention provides a HIS-based drug whole-process monitoring system, comprising:
the storage recording module 100: the distributed processing method is used for carrying out distributed processing on the acquired medicine information data based on a clustering algorithm through scanning photographing;
information receiving module 200: for receiving compounding information of the drug based on the HIS;
drug formulation module 300: the drug delivery system is used for searching drug position information according to the allocation information of the drugs and carrying out drug output and transmission;
drug delivery module 400: the system is used for carrying out ex-warehouse management on the prepared medicines by scanning, photographing and recording medicine information data;
including the drug destruction module 500: and the device is used for destroying the allocated and destroyed medicines by scanning, photographing and recording medicine information data.
The storage recording module 100 performs distributed processing on the drug information data and performs corresponding recording and storage.
The distributed processing is specifically as follows:
calculating attribute distance D (x, y) of medicine information x and y:
clustering and dividing the drug information data based on the attribute distance of the drug information and the k-means algorithm;
computing cluster x i And cluster x j Inter-cluster distance d (x) i ，x j )：
Wherein x is iu For cluster x i The (u) th drug information cluster data, y jv Is y jv The v-th drug information cluster data, d (x iu ，y ju ) Clustering data x for drug information iu Clustering data y with drug information jv Is a distance of (2);
setting an objective function E:
wherein x is a cluster set, c i Representing subset k i K is the number of clusters;
dividing the threshold value based on the value of the objective function E to divide the medicine information data, controlling the storage elasticity δ (z) of the divided medicine information data by the granularity epsilon, and expressing the coverage association Δδ (z) corresponding to the random time τ by the following formula:
wherein epsilon is granularity rate of drug information data, and delta t is distributed storage gradient of drug information data;
describing distributed storage intensity index based on
Wherein E [ delta (z) ] is an elasticity expected value of delta (z), and ρ is the compliance degree of the drug information distributed data;
the calculation of the drug information data elasticity delta (z) and the drug information data distributed storage gradient deltat is completed based on the following steps:
distributed storage of drug information data is performed based on the following formula:
wherein z is * The method is used for representing the distributed storage of the medicine information data, s (z) is the medicine information data received by the current scanning, and w (z) is the adoption probability of the data.
The storage record module 100 also updates the drug information according to the information fed back by the drug delivery module 400 and the drug destruction module 500.
The information receiving module 200 receives the prescription information of the medicine according to the complete prescription information uploaded based on HIS.
The complete prescription information includes prescription number, preamble, text, postamble and prescription-enabled doctor signature.
The medicine allocation module 300 transmits the medicine searched and output to a delivery port or a destruction place according to allocation information.
The medicine destroying module 500 also performs a sealing and packing process on the medicines after the sales destroying process.
Referring to fig. 2, a full-flow drug administration method based on HIS is provided, including the steps of:
s1: the method comprises the steps of carrying out distributed processing on medicine information data of medicines acquired by hospitals based on a clustering algorithm, and collecting and warehousing storage of the medicine information data;
s2: receiving allocation information of the medicine based on the HIS;
s3: searching for medicines and transmitting medicines according to the allocation information of the medicines;
s4: and carrying out ex-warehouse management or destruction treatment on the medicines according to the allocation information of the medicines.
In this embodiment, the storage recording module 100 performs scanning photographing through a scanning photographing port, and performs distributed processing on drug information data acquired by a pharmacy of a hospital to perform real-time recording and storage:
calculating attribute distance D (x, y) of medicine information x and y:
clustering and dividing the drug information data based on the attribute distance of the drug information and the k_means algorithm;
computing cluster x i And cluster x j Inter-cluster distance d (x) i ，x j )：
Wherein x is iu For cluster x i The (u) th drug information cluster data, y jv Is y jv The v-th drug information cluster data, d (x iu ，y jv ) Clustering data x for drug information iu Clustering data y with drug information jv Is a distance of (2);
setting an objective function E:
wherein x is a cluster set, c i Representing subset k i K is the number of clusters；
The medicine information data are divided based on the dividing threshold value of the objective function E, and the medicine information is divided based on the process, so that classification result clusters of the medicine information are more compact and independent, storage of the medicine information is facilitated, and medicine information storage and extraction speed is improved.
The storage elasticity delta (z) of the divided medicine information data is controlled by the granularity epsilon, and the distributed storage process has limited bandwidth, so delta (z) can be completely covered by a storage hierarchy, and the coverage association delta (z) corresponding to the random time tau is expressed by the following formula:
wherein epsilon is granularity rate of drug information data, and delta t is distributed storage gradient of drug information data;
describing distributed storage intensity index based on
Wherein E [ delta (z) ] is an elasticity expected value of delta (z), and ρ is the compliance degree of the drug information distributed data;
the calculation of the drug information data elasticity delta (z) and the drug information data distributed storage gradient deltat is completed based on the following steps:
distributed storage of drug information data is performed based on the following formula:
wherein z is * The method is used for representing the distributed storage of the medicine information data, s (z) is the medicine information data received by the current scanning, and w (z) is the adoption probability of the data.
Through the distributed storage processing, the storage can be automatically adjusted according to the storage state of the acquired medicine information, and the distributed storage capacity of the medicine information data is improved.
The storage record module 100 also updates the drug information according to the information fed back by the drug delivery module 400 and the drug destruction module 500.
The information receiving module 200 performs the preparation of the medicine based on the HIS receiving the prescription information issued by the doctor, and the prescription information requires the doctor's signature with the complete prescription number, preamble, text, postamble and prescription right. The medicine deployment module 300 extracts medicine information data according to the received complete prescription information and searches for and outputs medicine position information; then, corresponding ex-warehouse processing or destruction processing is carried out according to the medicine information data extracted from the prescription information, if the prescription information is in the ex-warehouse processing, medicines are transmitted to an ex-warehouse port, and the medicine ex-warehouse module 400 is used for scanning, photographing, recording and managing medicine information pairs and ex-warehouse; if the prescription information is destruction processing, the medicine destruction module 500 scans, photographs and records the medicine information, destroys the allocated and destroyed medicine, and seals and packages the medicine after the destruction processing.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (9)
1. Medicine overall process supervisory systems based on HIS, its characterized in that: comprising the following steps:
a memory recording module (100): the distributed processing method is used for carrying out distributed processing on the acquired medicine information data based on a clustering algorithm through scanning photographing;
information receiving module (200): for receiving compounding information of the drug based on the HIS;
drug formulation module (300): the drug delivery system is used for searching drug position information according to the allocation information of the drugs and carrying out drug output and transmission;
drug delivery module (400): the system is used for carrying out ex-warehouse management on the prepared medicines by scanning, photographing and recording medicine information data;
medicine destruction module (500): and the device is used for destroying the allocated and destroyed medicines by scanning, photographing and recording medicine information data.
2. The HIS-based drug overall process monitoring system of claim 1, wherein: the storage recording module (100) performs distributed processing on the medicine information data and performs corresponding recording and storage.
3. The HIS-based drug overall process monitoring system of claim 2, wherein: the distributed processing is specifically as follows:
calculating attribute distance D (x, y) of medicine information x and y:
clustering and dividing the drug information data based on the attribute distance of the drug information and the k-means algorithm;
computing cluster x i And cluster x j Inter-cluster distance d (x) i ,x j )：
Wherein x is iu For cluster x i The (u) th drug information cluster data, y jv Is y jv The v-th drug information cluster data, d (x iu ,y jv ) Clustering data x for drug information iu Clustering data y with drug information jv Is a distance of (2);
setting an objective function E:
wherein x is a cluster set, c i Representing subset k i K is the number of clusters;
dividing the threshold value based on the value of the objective function E to divide the medicine information data, controlling the storage elasticity δ (z) of the divided medicine information data by the granularity epsilon, and expressing the coverage association Δδ (z) corresponding to the random time τ by the following formula:
wherein epsilon is granularity rate of drug information data, and delta t is distributed storage gradient of drug information data;
describing distributed storage intensity index based on
Wherein E [ delta (z) ] is an elasticity expected value of delta (z), and ρ is the compliance degree of the drug information distributed data;
the calculation of the drug information data elasticity delta (z) and the drug information data distributed storage gradient deltat is completed based on the following steps:
distributed storage of drug information data is performed based on the following formula:
wherein z is * The method is used for representing the distributed storage of the medicine information data, s (z) is the medicine information data received by the current scanning, and w (z) is the adoption probability of the data.
4. The HIS-based drug overall process monitoring system of claim 3, wherein: the storage recording module (100) also updates medicine information according to the information fed back by the medicine delivery module (400) and the medicine destruction module (500).
5. The HIS-based drug overall process monitoring system of claim 1, wherein: the information receiving module (200) receives the allocation information of the medicines according to the complete prescription information uploaded based on the HIS.
6. The HIS-based drug overall process monitoring system of claim 5, wherein: the complete prescription information includes prescription number, preamble, text, postamble and prescription-enabled doctor signature.
7. The HIS-based drug overall process monitoring system of claim 1, wherein: the medicine allocation module (300) transmits the searched and output medicine to a warehouse outlet or a destruction place according to allocation information.
8. The HIS-based drug overall process monitoring system of claim 1, wherein: the medicine destroying module (500) also performs sealing and packaging treatment on the medicines after the sales destroying treatment.
9. The full-flow medicine supervision method based on HIS is characterized by comprising the following steps: the method comprises the following steps:
s1: the method comprises the steps of carrying out distributed processing on medicine information data of medicines acquired by hospitals based on a clustering algorithm, and collecting and warehousing storage of the medicine information data;
s2: receiving allocation information of the medicine based on the HIS;
s3: searching for medicines and transmitting medicines according to the allocation information of the medicines;
s4: and carrying out ex-warehouse management or destruction treatment on the medicines according to the allocation information of the medicines.
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