CN115831314A - Medicine getting application method and system based on medical advice decomposition - Google Patents
Medicine getting application method and system based on medical advice decomposition Download PDFInfo
- Publication number
- CN115831314A CN115831314A CN202310120812.9A CN202310120812A CN115831314A CN 115831314 A CN115831314 A CN 115831314A CN 202310120812 A CN202310120812 A CN 202310120812A CN 115831314 A CN115831314 A CN 115831314A
- Authority
- CN
- China
- Prior art keywords
- medicine
- drug
- request
- application
- rule
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000003814 drug Substances 0.000 title claims abstract description 293
- 229940079593 drug Drugs 0.000 title claims abstract description 162
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000000354 decomposition reaction Methods 0.000 title claims abstract description 26
- 230000007774 longterm Effects 0.000 claims abstract description 44
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000002372 labelling Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 239000002699 waste material Substances 0.000 abstract description 7
- 230000002354 daily effect Effects 0.000 description 7
- 239000000243 solution Substances 0.000 description 7
- NOESYZHRGYRDHS-UHFFFAOYSA-N insulin Chemical compound N1C(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(NC(=O)CN)C(C)CC)CSSCC(C(NC(CO)C(=O)NC(CC(C)C)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CCC(N)=O)C(=O)NC(CC(C)C)C(=O)NC(CCC(O)=O)C(=O)NC(CC(N)=O)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CSSCC(NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2C=CC(O)=CC=2)NC(=O)C(CC(C)C)NC(=O)C(C)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2NC=NC=2)NC(=O)C(CO)NC(=O)CNC2=O)C(=O)NCC(=O)NC(CCC(O)=O)C(=O)NC(CCCNC(N)=N)C(=O)NCC(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC(O)=CC=3)C(=O)NC(C(C)O)C(=O)N3C(CCC3)C(=O)NC(CCCCN)C(=O)NC(C)C(O)=O)C(=O)NC(CC(N)=O)C(O)=O)=O)NC(=O)C(C(C)CC)NC(=O)C(CO)NC(=O)C(C(C)O)NC(=O)C1CSSCC2NC(=O)C(CC(C)C)NC(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CC(N)=O)NC(=O)C(NC(=O)C(N)CC=1C=CC=CC=1)C(C)C)CC1=CN=CN1 NOESYZHRGYRDHS-UHFFFAOYSA-N 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 102000004877 Insulin Human genes 0.000 description 3
- 108090001061 Insulin Proteins 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000002347 injection Methods 0.000 description 3
- 239000007924 injection Substances 0.000 description 3
- 229940125396 insulin Drugs 0.000 description 3
- BIDNLKIUORFRQP-XYGFDPSESA-N (2s,4s)-4-cyclohexyl-1-[2-[[(1s)-2-methyl-1-propanoyloxypropoxy]-(4-phenylbutyl)phosphoryl]acetyl]pyrrolidine-2-carboxylic acid Chemical compound C([P@@](=O)(O[C@H](OC(=O)CC)C(C)C)CC(=O)N1[C@@H](C[C@H](C1)C1CCCCC1)C(O)=O)CCCC1=CC=CC=C1 BIDNLKIUORFRQP-XYGFDPSESA-N 0.000 description 2
- 239000002220 antihypertensive agent Substances 0.000 description 2
- 229940127088 antihypertensive drug Drugs 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 229960002490 fosinopril Drugs 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000004806 packaging method and process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- RZVAJINKPMORJF-UHFFFAOYSA-N N-acetyl-para-amino-phenol Natural products CC(=O)NC1=CC=C(O)C=C1 RZVAJINKPMORJF-UHFFFAOYSA-N 0.000 description 1
- -1 acetaminophen compound Chemical class 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000008187 granular material Substances 0.000 description 1
- 241000411851 herbal medicine Species 0.000 description 1
- 238000001990 intravenous administration Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002674 ointment Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 229960005489 paracetamol Drugs 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Images
Landscapes
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a medicine getting application method and system based on medical advice decomposition, wherein the method comprises the following steps: establishing a drug application rule base, wherein the drug application rule base comprises an association relation between drugs and drug application rules; obtaining a long-term medical advice, splitting medicines in the long-term medical advice according to the medication frequency, and generating at least one request to be claimed; retrieving a drug claiming rule corresponding to a drug in the long-term medical advice from the drug claiming rule base, and merging the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request; and generating the medicine receiving amount according to the at least one target claim request. The long-term medical advice can be split according to frequency, the actual execution sequence is marked, and the intelligent application quantity is realized by combining a pre-maintained medicine application mode, so that the user cost can be reduced, the waste is reduced, and the long-term medical advice setting standard is met.
Description
Technical Field
The invention belongs to the technical field of medicine getting, and particularly relates to a medicine getting application method and system based on medical advice decomposition.
Background
In hospital information systems, doctors generally prescribe long-term medical orders, and associate medication usage, dosage, and frequency of use (frequency) for inpatients. After the nurse verifies and confirms the content of the medical advice, a medicine getting application is initiated to the pharmacy. In theory, a pharmacy needs to dispense and place medicines strictly according to the dosage of each doctor advice. The nurse takes the medicine for the patient after receiving the medicine sent by the pharmacy, and the execution of the advice of each time is completed.
The current situation is that the pharmacy can not strictly dispense medicines according to the dose of the doctor advice every time. The dosage prescribed by a doctor is the dosage of a patient, and is often different from the integral package specification of medicines. In which case the pharmacy must issue a greater amount of medication for each order than is required. For the long-term order, if the medicine is overdosed every time, the medicine is wasted and the medicine charge of a patient is increased.
Disclosure of Invention
The invention provides a medicine getting application method and system based on medical advice decomposition, which are used for solving the technical problems of medicine waste and increase of medicine charge of patients caused by excessive medicine placement each time.
In a first aspect, the present invention provides a method for applying for a medication based on medical order decomposition, including: establishing a drug application rule base, wherein the drug application rule base comprises an association relation between drugs and drug application rules; obtaining a long-term medical advice, splitting medicines in the long-term medical advice according to the medication frequency, and generating at least one request to be claimed; retrieving a drug claiming rule corresponding to a drug in the long-term medical advice from the drug claiming rule base, and merging the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request; and generating the medicine receiving amount according to the at least one target claim request.
Further, the establishing of the drug claim rule base includes: acquiring the category and the attribute of each medicine in a preset medicine dictionary, and setting application rules of each medicine according to the category and the attribute; and associating the drug application rule with the drug to obtain an association relation, and storing the association relation into a database to form a drug application rule base.
Further, the obtaining of the category and the attribute of each medicine in the preset medicine dictionary includes: searching a medicine text sequence of the medicine object to be searched in the preset medicine dictionary, wherein the medicine text sequence is a universal medicine name extracted from the description information and/or the labeling information of the medicine object to be searched; and acquiring entry data corresponding to the medicine text sequence according to the medicine text sequence, wherein the entry data comprises a category and an attribute associated with the medicine text sequence.
Further, the frequency of administration includes three times per day, three times per week, and/or once every three days.
Further, the drug claim rule comprises a daily claim, a secondary claim, a quantitative claim and/or a pay-per-view claim.
Further, the to-be-claimed request includes a request time and a request amount, and the merging the at least one to-be-claimed request based on the drug claiming rule to obtain at least one target claiming request includes: and merging the request dosage in the at least one request to be claimed in the same request time period based on the medicine claim rule to obtain at least one target claim request, wherein the target claim request comprises a target request dosage which is the sum of the request dosages and is rounded.
Further, the method further comprises:
determining an execution time point of the drug getting application according to the drug taking frequency, and splitting the execution time point of the drug getting application to obtain a drug applying sequence number which can contain drug applying frequency information;
when the medicine taking application is detected to be required, current medicine applying information is determined according to the combination calculation of the medicine applying sequence number and the medicine applying rule, and the current medicine applying information at least comprises whether the medicine applying is required at present and the corresponding applying quantity.
In a second aspect, the present invention provides a system for applying for a medication based on order decomposition, comprising: the system comprises an establishing module, a drug applying rule base and a drug applying rule base, wherein the establishing module is configured to establish the drug applying rule base which comprises the association relation between drugs and drug applying rules; the splitting module is configured to acquire a long-term medical advice, split medicines in the long-term medical advice according to medication frequency and generate at least one request to be claimed; a merging module configured to retrieve a drug claiming rule corresponding to a drug in the long-term medical advice from the drug claiming rule base, and merge the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request; and the generating module is configured to generate the drug-taking amount according to the at least one target claim request.
In a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the order resolution based pharmacy application method of any embodiment of the present invention.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program of instructions which, when executed by a processor, cause the processor to perform the steps of the order decomposition based pharmacy application method of any of the embodiments of the present invention.
According to the medicine getting application method and system based on medical advice decomposition, long-term medical advice can be split according to frequency, actual execution sequence is marked, a medicine application mode maintained in advance is combined, intelligent application quantity is achieved, user cost can be lowered, waste is reduced, and meanwhile long-term medical advice setting standards are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a method for applying for a medication based on medical order decomposition according to an embodiment of the present invention;
fig. 2 is a block diagram of a system for applying a medication based on order decomposition according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
Example one
Referring to fig. 1, a flow chart of a method for applying for a medication based on order resolution of the present application is shown.
As shown in FIG. 1, the method for realizing the prescription-based resolved pharmacy application of the present invention specifically includes steps S101-S104.
Step S101, a medicine application rule base is established, and the medicine application rule base comprises the association relation between medicines and medicine application rules.
In a specific embodiment, the specific steps of establishing the drug claim rule base include:
step S1011, obtaining the category and attribute of each medicine in the preset medicine dictionary, and setting each medicine application rule according to the category and attribute.
Specifically, a medicine text sequence of the medicine object to be searched is searched in the preset medicine dictionary, wherein the medicine text sequence is a universal medicine name extracted from description information and/or labeling information of the medicine object to be searched; and acquiring entry data corresponding to the medicine text sequence according to the medicine text sequence, wherein the entry data comprises a category and an attribute associated with the medicine text sequence.
The drug object is a specific object, is specially used for treating diseases, and needs to be managed according to the legal standard. Thus, drug objects may be characterized using legal names. For example, "common drug name" is used as a common name of a drug. However, in practical application, the drug object can be a commodity object and can also have the trade name of the drug. The same general medicine name can correspond to a plurality of medicine trade names. For example, acetaminophen compound formulations have trade names: bai Ke Ning, tai Nuo Lin, bi Li Tong, etc.
Step S1012, associating the drug claim rule with the drug to obtain an association relationship, and storing the association relationship in a database to form a drug claim rule base.
In step S1012, the drug claim rule includes a daily claim, a secondary claim, a quantitative claim, and/or a pay claim. For example, the drug claim rule for insulin is quantitative.
And S102, acquiring a long-term medical order, splitting medicines in the long-term medical order according to the medicine taking frequency, and generating at least one request to be claimed.
It is noted that the frequency of administration includes three times per day, three times per week, and/or once every three days.
In a specific application scenario, the long-term order may be a long-term oral order, and the contents of the long-term order include half of hypotensor (fosinopril) twice a day for 10 consecutive days.
Wherein, the antihypertensive drug in the long-term oral medical advice is split according to the frequency of medication (twice a day) to obtain two requests to be claimed. For example, one half of the herb can be applied at 8 am, and another half of the herb can be applied at 4 pm.
Step S103, retrieving a medicine applying rule corresponding to the medicine in the long-term medical advice from the medicine applying rule base, and combining the at least one request to be applied based on the medicine applying rule to obtain at least one target applying request.
It should be noted that the pending claims include a request time and a request amount.
Specifically, request usage in the at least one request to be claimed in the same request time period is merged based on the drug claim rule to obtain at least one target claim request, wherein the target claim request includes a target request usage, and the target request usage is the sum of the request usage and is rounded.
For example, the long-term order content includes half of hypotensor (fosinopril) each time, twice a day, continuously taking for 10 days, splitting the hypotensor in the long-term oral order according to the medication frequency to obtain one to-be-claimed request for claiming one half of hypotensor at 8 am, and claiming another to-be-claimed request for claiming one half of hypotensor at 4 pm. Because two time points of 8 am and 4 pm are in the day-based claimed time period corresponding to the antihypertensive drug, the two requests to be claimed are merged to obtain the target claim request, wherein the target claim amount of the target claim request is 0.5+0.5=1 tablet.
And step S104, generating the dosage according to the at least one target claim request.
In summary, in the method for applying a medicine getting based on medical advice resolution in the above embodiment of the present invention, the medicine is associated with the medicine applying rule, so that the request to be claimed is merged based on the medicine applying rule to obtain the target claim request, thereby realizing intelligent claim quantity, reducing user cost and waste, and simultaneously achieving compliance with the long-term medical advice provision specification.
Example two
The second embodiment of the invention also provides a medicine getting application method based on medical order decomposition, which is realized by software and/or hardware and specifically comprises the steps S201-S204.
Step S201, the claim options are divided in the medicine basic dictionary according to medicine classification, properties and the like.
The following options are initially divided:
option 1-apply, pharmacy dispenses the dose each time as ordered;
option 2-apply according to the day, calculate the dosage of a day according to the frequency, apply the dosage of a whole day once;
option 3-apply quantitatively, apply once medicine whole package quantity, according to each dosage dynamic calculation, use up and apply again.
The following definitions can be made for specific drug classifications:
western medicine
Tablet, oral: based on the packaging specification of the medicine and whether the pharmacy has the medicine zero-removing capability (such as the use of a medicine packaging machine) or not, the medicine can be configured into a claims-by-time or a claims-by-day (multiple-taking-for-a-day recommended configuration);
liquid type: based on formulation specifications, and the specific use of the drug (intravenous drip, etc.), they are generally only configured as a one-time claim because they cannot be unpackaged.
Long-term injection: such as insulin, etc., it is recommended that a unit be used more often than not, and that the configuration be configured for quantitative applications.
Spray agents: theoretically, the method can be configured into quantitative application, actually, because the calculation error is large, a certain margin or tolerance can be kept on the calculation of the use times, and a new application is provided when the use times of the medicine reach more than 80% of the rated times. (order decomposition algorithm for processing)
Chinese patent medicine (granules and the like)
Patent drugs with the specification of whole package, if the minimum package quantity is larger, patients need to take the drugs for many times, and the patent drugs can be applied according to the day or the quantity; if the number of packages is not large, it can be configured to be claim-by-claim.
Chinese herbal medicine
For bulk grams of herb, one can configure each dose as a claim.
For the ointment prescription, the number of use payment is specified according to the medical advice, and the application by time or the application by day can be configured.
And step S202, splitting the long-term medical advice according to frequency, and recording the number of times of claiming each time.
And (3) carrying out corresponding treatment on different frequencies by using a medical advice decomposition algorithm: different times maintain different execution time points (the doctor can also adjust the time points when making orders). The system is split according to time points, and the application of each time of the medicine corresponds to the time points. Thus, the application times (sequence numbers) of the medicines can be accurately recorded. The following are the frequent classifications of the physician orders that are clinically universally suitable, which need to be respectively corresponded in the algorithm writing.
The frequency specifically comprises: once or more times daily, once every other day, once or more times weekly (specified day of week), once every (more) hour, for 24 hours.
And step S203, judging whether a medicine getting application needs to be submitted or not according to the application option of the medicine prescribed by the doctor and the serial number of each execution record. And calculating the result serial number of the medical advice decomposition by combining with the application options of the medicines, and determining whether the application for getting the medicines needs to be submitted and the number of the applications.
The application option of the drug is a drug application mode which is maintained in advance, namely a drug application rule which is established preliminarily, and whether a drug application is to be submitted or not and the specific application quantity are determined according to the serial number of each execution record and the drug application rule, such as: taking the medicine three times a day by half a tablet orally, applying according to the daily claim, and calculating 0.5X3=1.5- >2 tablets when the serial number (serial number = 1) is decomposed on the day of the medical order decomposition to obtain the number of applying 2 tablets; and for the decomposition serial numbers 2 and 3 on the same day, the application for picking up the medicines is not submitted. Ensuring that the patient receives the minimum enough medicine quantity for the whole day for the first time.
And step S204, the pharmacy applies for dispensing the medicines according to the medicines received by the nurse.
The pharmacy completely depends on the medicine receiving application submitted by the nurse station for the medicine placing quantity of the patient, but not on the long-term medical advice content of the patient, so that the most flexible and free clinical medicine control can be realized.
Based on the method of the present embodiment, the following cases are shown to illustrate that the method of the present invention can reduce the medical cost and reduce the waste of the medicine:
case one: the long-term oral administration of the decoction is twice a day with half of hypotensor each time. It is assumed that the patient has taken the drug for 10 consecutive days.
The original scheme is as follows: the pharmacy can not dispense half tablets, 1 tablet of medicine is dispensed each time, 1X2 tablets are dispensed each day, and 2X10 tablets are dispensed each time for 10 days;
the optimization scheme is as follows: the medicine dictionary maintains the hypotensor as "Press Tian Shen". The system calculates the daily dosage of 0.5X2=1 tablet, claims 1 tablet every day, dispenses 1 tablet in pharmacy, takes the medicine continuously for 10 days, and dispenses 1X10=10 tablets in pharmacy.
As a result: the medicine waste is reduced: 20-10=10 tablets
Case two: insulin (specification is 300 units/bottle) is injected for a long time, 30 units are injected each time, and the injection is performed once a day. The patient is assumed to have been injected for 10 consecutive days.
The original scheme is as follows: the pharmacy can not be detached, 1 bottle of medicine is dispensed every day, and 10 bottles of medicine are dispensed every 10 days.
The optimization scheme is as follows: the maintenance of the medicine is 'according to the dose' and the use of the medicine is claimed again. 1 vial (300 units) was dispensed on the first day and the caregiver withdrawn 30 units daily for injection on 10 days. 10 daily dose: 30x10=300 units =1 bottle. Just use up.
As a result: the medicine waste is reduced: 10-1=9 bottle.
EXAMPLE III
Referring to fig. 2, a block diagram of a system for applying a medication based on order decomposition is shown.
As shown in fig. 2, the pharmacy application system 200 includes an establishing module 210, a splitting module 220, a merging module 230, and a generating module 240.
The establishing module 210 is configured to establish a drug applying rule base, where the drug applying rule base includes an association relationship between a drug and a drug applying rule; the splitting module 220 is configured to obtain a long-term medical order, split medicines in the long-term medical order according to medication frequency, and generate at least one request to be claimed; a merging module 230 configured to retrieve, in the drug claiming rule base, a drug claiming rule corresponding to a drug in the long-term medical advice, and merge the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request; a generating module 240 configured to generate a drug loading amount according to the at least one target claim request.
It should be understood that the modules depicted in fig. 2 correspond to various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in fig. 2, and are not described again here.
Example four
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to execute a method for applying for a medication based on medical order decomposition in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
establishing a drug application rule base, wherein the drug application rule base comprises an association relation between drugs and drug application rules;
obtaining a long-term medical advice, splitting medicines in the long-term medical advice according to the medication frequency, and generating at least one request to be claimed;
retrieving a drug claiming rule corresponding to a drug in the long-term medical advice from the drug claiming rule base, and merging the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request;
and generating the medicine receiving amount according to the at least one target claim request.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the prescription-based resolved medication requisition system, and the like. Further, the computer-readable storage medium may include high speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the computer-readable storage medium optionally includes memory remotely located from the processor, and the remote memory may be connected to the order decomposition-based pharmacy application system via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, such as the bus connection in fig. 3. The memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, so as to implement the method for applying for a drug based on medical order decomposition of the above method embodiment. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the prescription application system based on order resolution. The output device 340 may include a display device such as a display screen.
The electronic equipment can execute the method provided by the embodiment of the invention and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
As an embodiment, the electronic device is applied to a system for applying a medication taking request based on order decomposition, and is used for a client, and the system comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to:
establishing a drug application rule base, wherein the drug application rule base comprises an association relation between drugs and drug application rules;
obtaining a long-term medical advice, splitting medicines in the long-term medical advice according to the medication frequency, and generating at least one request to be claimed;
retrieving a drug claiming rule corresponding to a drug in the long-term medical advice from the drug claiming rule base, and merging the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request;
and generating the medicine receiving amount according to the at least one target claim request.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A medicine getting application method based on medical advice decomposition is characterized by comprising the following steps:
establishing a drug application rule base, wherein the drug application rule base comprises an association relation between drugs and drug application rules;
obtaining a long-term medical advice, splitting medicines in the long-term medical advice according to the medication frequency, and generating at least one request to be claimed;
retrieving a drug claiming rule corresponding to a drug in the long-term medical advice from the drug claiming rule base, and merging the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request;
generating a drug pick-up amount according to the at least one target claim request;
the establishing of the drug application rule base comprises the following steps:
acquiring the category and the attribute of each medicine in a preset medicine dictionary, and setting each medicine application rule according to the category and the attribute;
associating the drug application rule with the drug to obtain an association relation, and storing the association relation into a database to form a drug application rule base;
the obtaining of the category and the attribute of each medicine in the preset medicine dictionary includes:
searching a medicine text sequence of the medicine object to be searched in the preset medicine dictionary, wherein the medicine text sequence is a universal medicine name extracted from the description information and/or the labeling information of the medicine object to be searched;
and acquiring entry data corresponding to the medicine text sequence according to the medicine text sequence, wherein the entry data comprises a category and an attribute associated with the medicine text sequence.
2. The order decomposition-based pharmacy application method of claim 1, wherein the frequency of medication comprises three times per day, three times per week, and/or three days.
3. The method of claim 1, wherein the drug claim rules include daily claim, sub-claim, quantitative claim, and/or pay claim.
4. The method of claim 1, wherein the to-be-claimed request includes a request time and a request dosage, and the merging the at least one to-be-claimed request based on the drug claim rule to obtain at least one target claim request comprises:
and merging the request dosage in the at least one request to be claimed in the same request time period based on the medicine claim rule to obtain at least one target claim request, wherein the target claim request comprises a target request dosage which is the sum of the request dosages and is rounded.
5. The order decomposition-based pharmacy application method of claim 1, further comprising:
determining an execution time point of the drug getting application according to the drug taking frequency, and splitting the execution time point of the drug getting application to obtain a drug applying sequence number which can contain drug applying frequency information;
when the medicine taking application is detected to be required, current medicine applying information is determined according to the combination calculation of the medicine applying sequence number and the medicine applying rule, and the current medicine applying information at least comprises whether the medicine applying is required at present and the corresponding applying quantity.
6. A medication intake application system based on order decomposition, comprising:
the system comprises an establishing module, a drug applying rule base and a drug applying rule base, wherein the establishing module is configured to establish the drug applying rule base which comprises the association relation between drugs and drug applying rules;
the splitting module is configured to acquire a long-term medical advice, split medicines in the long-term medical advice according to medication frequency and generate at least one request to be claimed;
a merging module configured to retrieve a drug claiming rule corresponding to a drug in the long-term medical advice from the drug claiming rule base, and merge the at least one request to be claimed based on the drug claiming rule to obtain at least one target claiming request;
the generating module is configured to generate a medicine receiving amount according to the at least one target claiming request;
the establishing module comprises:
the acquiring unit is configured to acquire the category and the attribute of each medicine in a preset medicine dictionary and set each medicine application rule according to the category and the attribute;
the association unit is configured to associate the drug claim rule with the drug to obtain an association relation, and store the association relation into a database to form a drug claim rule base;
the acquisition unit includes:
the searching subunit is configured to search a medicine text sequence of the medicine object to be searched in the preset medicine dictionary, wherein the medicine text sequence is a universal medicine name extracted from the description information and/or the labeling information of the medicine object to be searched;
and the association subunit is configured to acquire entry data corresponding to the medicine text sequence according to the medicine text sequence, wherein the entry data comprises a category and an attribute associated with the medicine text sequence.
7. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any of claims 1 to 5.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310120812.9A CN115831314A (en) | 2023-02-16 | 2023-02-16 | Medicine getting application method and system based on medical advice decomposition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310120812.9A CN115831314A (en) | 2023-02-16 | 2023-02-16 | Medicine getting application method and system based on medical advice decomposition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115831314A true CN115831314A (en) | 2023-03-21 |
Family
ID=85521577
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310120812.9A Pending CN115831314A (en) | 2023-02-16 | 2023-02-16 | Medicine getting application method and system based on medical advice decomposition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115831314A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117854671A (en) * | 2024-03-05 | 2024-04-09 | 智业软件股份有限公司 | Method and system for rapidly calculating execution times of first-day or last-day orders |
| CN117854671B (en) * | 2024-03-05 | 2024-05-28 | 智业软件股份有限公司 | Method and system for rapidly calculating execution times of first-day or last-day orders |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609617A (en) * | 2012-01-31 | 2012-07-25 | 成都成电医星数字健康软件有限公司 | Method for intelligently calculating dispensing amount of clinical drugs |
| CN107978085A (en) * | 2016-10-21 | 2018-05-01 | 北京华兴长泰物联网技术研究院有限责任公司 | It is a kind of to merge the medicine management system got it filled |
| CN109637030A (en) * | 2018-11-20 | 2019-04-16 | 深圳市卫邦科技有限公司 | A kind of sharing system of the method for sharing of drug, make up a prescription robot and drug |
| CN110867237A (en) * | 2019-11-15 | 2020-03-06 | 曹庆恒 | Method, system and equipment for managing rule base of reasonable and compliant medication system |
| CN112687403A (en) * | 2021-01-08 | 2021-04-20 | 拉扎斯网络科技（上海）有限公司 | Medicine dictionary generation and medicine search method and device |
| CN113963771A (en) * | 2021-10-20 | 2022-01-21 | 北京百度网讯科技有限公司 | Method and device for calculating medicine opening quantity, electronic equipment and storage medium |
| CN114093456A (en) * | 2021-11-16 | 2022-02-25 | 陈灿 | Information processing method of medical advice prescribing system based on medicine home position spreading code |
-
2023
- 2023-02-16 CN CN202310120812.9A patent/CN115831314A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609617A (en) * | 2012-01-31 | 2012-07-25 | 成都成电医星数字健康软件有限公司 | Method for intelligently calculating dispensing amount of clinical drugs |
| CN107978085A (en) * | 2016-10-21 | 2018-05-01 | 北京华兴长泰物联网技术研究院有限责任公司 | It is a kind of to merge the medicine management system got it filled |
| CN109637030A (en) * | 2018-11-20 | 2019-04-16 | 深圳市卫邦科技有限公司 | A kind of sharing system of the method for sharing of drug, make up a prescription robot and drug |
| CN110867237A (en) * | 2019-11-15 | 2020-03-06 | 曹庆恒 | Method, system and equipment for managing rule base of reasonable and compliant medication system |
| CN112687403A (en) * | 2021-01-08 | 2021-04-20 | 拉扎斯网络科技（上海）有限公司 | Medicine dictionary generation and medicine search method and device |
| CN113963771A (en) * | 2021-10-20 | 2022-01-21 | 北京百度网讯科技有限公司 | Method and device for calculating medicine opening quantity, electronic equipment and storage medium |
| CN114093456A (en) * | 2021-11-16 | 2022-02-25 | 陈灿 | Information processing method of medical advice prescribing system based on medicine home position spreading code |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117854671A (en) * | 2024-03-05 | 2024-04-09 | 智业软件股份有限公司 | Method and system for rapidly calculating execution times of first-day or last-day orders |
| CN117854671B (en) * | 2024-03-05 | 2024-05-28 | 智业软件股份有限公司 | Method and system for rapidly calculating execution times of first-day or last-day orders |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2022235592A1 (en) | Medication preparation queue | |
| US8494880B2 (en) | Interactive patient medication list | |
| US20130262138A1 (en) | Medication preparation queue | |
| US20220254471A1 (en) | Medical order entry integration with automated dispensing systems | |
| KR100779361B1 (en) | Inventory management method and system of drug | |
| TW200407730A (en) | Pharmaceutical supply system | |
| World Health Organization | GLASS methodology for surveillance of national antimicrobial consumption | |
| CN115831314A (en) | Medicine getting application method and system based on medical advice decomposition | |
| MANSKOW et al. | Nationally Shared Medication Lists–Describing Systems in the Nordic Countries | |
| CN113963771A (en) | Method and device for calculating medicine opening quantity, electronic equipment and storage medium | |
| CN114596945A (en) | Prescription method, hospital information system and computer storage medium | |
| Firnhaber et al. | Creating the pharmacies of the future–innovation through the appropriate use of technology | |
| US20150302177A1 (en) | Drug dispensing system | |
| JP7253308B1 (en) | Program, information processing device, information processing system, information processing method | |
| Karapetian et al. | Alignment of two standard terminologies for dosage form: RxNorm from the National Library of Medicine for the United States and EDQM from the European Directorate for the Quality in Medicines and Healthcare for Europe | |
| JP2014146251A (en) | Information processing unit and program | |
| JP7110466B1 (en) | Drug usage management device, drug usage management method, drug usage management program, and drug management system | |
| Stephens et al. | Variability in drug formularies and implications in decision support | |
| CN115954080A (en) | Medicine selling method and device, electronic equipment and readable storage medium | |
| JP6369587B2 (en) | Information processing apparatus and program | |
| JP2002183304A (en) | Medicine inspection method in prescription ordering system | |
| KR20020023139A (en) | Medication packing apparatus | |
| Davies et al. | Environmental and financial impacts of perioperative paracetamol use: a multicentre international life-cycle analysis | |
| Blobel et al. | A User-Centered, Integrated Model to Improve Medication Prescription, Administration and Adherence in Switzerland | |
| Jun et al. | The First Affiliated Hospital of Nanchang University |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230321 |
|
| RJ01 | Rejection of invention patent application after publication |