CN109360621A - Prescription drug compliance management method and management system based on NLP - Google Patents
Prescription drug compliance management method and management system based on NLP Download PDFInfo
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- CN109360621A CN109360621A CN201811068252.2A CN201811068252A CN109360621A CN 109360621 A CN109360621 A CN 109360621A CN 201811068252 A CN201811068252 A CN 201811068252A CN 109360621 A CN109360621 A CN 109360621A
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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
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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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
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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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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Abstract
The invention discloses a kind of prescription drug compliance management method and management system based on NLP, the management method include: S1, the user information for obtaining patient and prescription and/or doctor's advice information；S2, the user information according to patient initiate artificial smart phone to patient；S3, the artificial intelligence phone is connected in response to patient, whether inquiry patient complies with prescription and/or doctor's advice treatment, if so, executing S4；Whether S4, inquiry patient have adverse drug reaction, if it is not, then executing S5；S5, after reaching the preset time, repeat S2-S3.The present invention is based on natural language processing techniques, interactive voice is carried out with patient or its contact person, feedback is parsed, can clearly know the key reason for influencing Treatment Compliance, the problem of patient feedback, is screened, and generates report and is sent to attending physician.
Description
Technical field
The present invention relates to medical treatment & health system regions, in particular to a kind of prescription drug compliance manager based on NLP
Method and management system.
Background technique
The drug compliance problem of patient is the problem of whole world medical field all the time." drug compliance " refers to trouble
The consistency of the prescription and doctor's advice of person's medication and doctor, and from the angle of drug therapy, drug compliance refers to patient to drug
The level of enforcement of therapeutic scheme.Drug compliance is directly related to the effect of disease treatment, such as hypoglycemic drug, anticoagulation medicine
Deng, miss or repeat medication be likely to cause reaction that is serious, or even jeopardizing patient vitals.But the drug in current China
The main reason for compliance status causes anxiety, and patient's drug compliance is poor has following:
The first, failure of memory: most of chronic for needing persistently to take medicine for a long time is the elderly, failure of memory
Situation is significant, therefore easily takes medicine there is a situation where missing or repeating；
The second, live irregular: middle age and adolescent patient are mostly since working and learning pressure is big, it is irregular etc. former to live
The non-compliance of medication because caused by, especially some special occupation persons, the personnel to go on business as usual, field man, driver
With student etc., since living environment often changes, learn or operating pressure is big, busy, it is very easy to forget to take medicine on time；
Third, treatment desired value are excessively high: it is just very high to the expectation of the treatment of drug since the patient feels are very painful,
It is required that medication effect is quick, for this purpose, certain patients increase drug dose without authorization, increase and take number, or increase treatment
As a result the kind of drug causes the increase of adverse drug reaction even to cause severely adverse event；
4th, medical knowledge and consciousness are insufficient: patient does not know about medical knowledge, hearsay or one-sided specification
In drug side-effect, therefore to take, injecting drug, there are resisting psychologies, especially have excessive worry to drug side-effect,
Cause patient not defer to doctor formula and doctor's advice progress drug therapy, is discontinued or reduces without authorization dosage；
5th, medical worker lacks the effective communication with patient: due to medical staff, professional pharmacist's shortage of manpower it is objective
Situation lacks effective communication with patient, fails that patient is allowed to understand therapeutic regimen.Especially pharmacist, for a long time all main
Target be positioned at and provide drug safely, effectively, accurately, errorless for patient, do not focus on providing drug relevant information, lack
The weary medication guide to patient.Prescription Administrative Policy regulation when delivering drug to patient, is used according to package insert or prescription
Method carries out medication and explains and instruct, usage, dosage, points for attention including every kind of drug etc..But in actual operation, medicine
Teacher is concerned only with whether drug is correctly provided, and often ignores medication and explains, to affect Patient drug's compliance.
In conclusion the factor for influencing drug compliance is numerous, it is related to each side such as patient, medical worker, society, family
Face.And it is directed to this problem, traditional solution is to say by doctor, nurse, pharmacist patient's progress prescription and doctor's advice
Solution, and regular manual telephone system link up or patient to institute's further consultation by way of understand drug compliance, and to the patient of non-compliance
It is educated and is intervened.But this mode is high for manpower requirements, manpower there is a serious shortage of actual environment in be difficult big model
Enclose application.
Summary of the invention
In order to solve problems in the prior art, the present invention provides a kind of prescription drug compliance manager based on NLP
Method and management system, the present invention help business personnel, quickly from the sea of data warehouse by the semantic search based on natural language
It measures data and the information to be looked for is accurately positioned, technical solution is as follows:
On the one hand, the prescription drug compliance management method based on NLP that the present invention provides a kind of, comprising:
S1, the user information for obtaining patient and prescription and/or doctor's advice information；
S2, the user information according to patient initiate artificial smart phone to patient；
S3, the artificial intelligence phone is connected in response to patient, whether inquiry patient complies with prescription and/or doctor's advice treatment,
If so, executing S4；
Whether S4, inquiry patient have adverse drug reaction, if it is not, then executing S5；
S5, after reaching the preset time, repeat S2-S3.
Further, inquire whether patient has adverse drug reaction in S4, if so, executing S6；
S6, it assesses whether to need to intervene or adjusts prescription, if it is not, then executing S5, evaluation process includes: patient's proposition and medicine
The relevant symptom explanation of object adverse reaction, then assessment result is to need to intervene or adjust prescription, and otherwise assessment result is not need
Intervene or adjust prescription.
Further, it assesses whether to need to intervene or adjust prescription in S6, if so, executing S7；
S7, to attending physician occur reminder message, the reminder message include patient identity, prescription and/or doctor's advice information,
The symptom explanation and patient compliance prescription and/or doctor's advice treatment condition for the adverse drug reaction that patient proposes.
Further, inquire whether patient complies with prescription and/or doctor's advice treatment in S3, if it is not, then executing S8 and S9；
S8, inquiry patient comply the reason of prescription and/or doctor's advice treatment；
S9, the feedback for obtaining patient judge whether solvable if can not answer executes S6 for the feedback of the patient；Sentence
Break the patient feedback whether solvable process include: analysis patient whether propose explanation relevant to therapeutic scheme, if so,
Then judge that the feedback of the patient can not be answered.
Further, judge whether solvable if solvable executes S10 and S11 for the feedback of the patient in S9；
S10, the answer to match with the feedback of the patient is obtained in pre-established knowledge base；
Whether S11, inquiry patient receive answer, if receiving, execute S6.
Further, it inquires whether patient receives answer in S11, if not receiving, executes S8 and S9.
Further, before user information and prescription and/or doctor's advice information that patient is obtained in S1 further include:
The user information of pre- typing patient and the prescription of the patient and/or doctor's advice information, the trouble in system database
The user information of person includes telephone number.
Further, before executing S5 further include: generate patient's treatment condition record.
On the other hand, the prescription drug compliance management system based on NLP that the present invention also provides a kind of, including service
Device, is integrated with the artificial intelligence phone module including natural language processing module, base module at database, wherein the number
It is connect with server according to library, artificial intelligence phone module；
The database is for establishing medical archive, prescription and/or doctor including the user information of patient and the patient
Advise information；
For the knowledge base for establishing problem base, described problem library includes the answer to match with feedback problem；
The natural language processing module is used for into the artificial intelligence telephone relation that patient initiates, at natural language
The feedback of reason technology analysis identification patient is semantic.
Further, the system also includes the one or more doctor's clients connecting with server communication.
Technical solution bring provided by the invention has the beneficial effect that:
A. active voice call technology is used, audio call is actively carried out for patient and its contact person, treatment is matched
Right low case control's effect is more preferable；
B. based on the system of natural language processing, the feedback of patient can be collected on a large scale and parse, it, can by analysis
Clearly to know the key reason and factor that influence Treatment Compliance, doctor is allowed targetedly to intervene or control
Treat project setting；
C. based on the system of natural language processing, interactive voice is carried out with patient or its contact person, feedback is parsed,
Problem is screened, and generates report and is sent to attending physician, the side that substitution prior art solution relies on manpower to carry out
Formula, significantly improving efficiency reduces cost；
D. it does not need how study operates based on the system of natural language processing, patient or its contact person, does not need additional
Purchase of equipment etc. is compared with existing solution, low using threshold, is more convenient for popularizing.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the flow chart of the prescription drug compliance management method provided in an embodiment of the present invention based on NLP；
Fig. 2 is the structural block diagram of the prescription drug compliance management system provided in an embodiment of the present invention based on NLP.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that term " includes " in description and claims of this specification and " having " and they
Any deformation, it is intended that cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, dress
Set, product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include be not clearly listed or
For the intrinsic other step or units of these process, methods, product or equipment.
In one embodiment of the invention, a kind of prescription drug compliance management method based on NLP is provided, referring to
Fig. 1, the method includes following below scheme:
S1, the user information for obtaining patient and prescription and/or doctor's advice information.
Compliance of drug therapy management method/system basis of the invention is the prescription that the attending physician of patient issues
And/or doctor's advice.Prescription and doctor's advice generally comprise: medicine name (common name or trade name including drug), drug application method
The points for attention that (service life, dosage, the administration route (oral, injection, external application) of such as drug), drug use
(the possible side effect of such as drug, combination taboo of drug and other drugs etc.), life style and points for attention are (such as limitation salt
Intake, the intake etc. of sugar, such as smoking cessation, abstinence from alcohol, such as regular exercise) and other prescriptions and doctor's advice in listed by need
The behavior for wanting patient to execute.
The mode for obtaining prescription and/or doctor's advice is as follows: voluntarily inputting its attending physician in systems by patient and issues for it
Prescription and/or doctor's advice, or it is inputted in systems as oneself diagnosis and treatment by doctor or the authorization other staff such as nurse
The prescription issued of patient and/or doctor's advice, it is preferable that the user information of pre- typing patient and the patient in system database
Prescription and/or doctor's advice information, the user information of the patient include telephone number, then by directly exporting patient's in database
Prescription and/or doctor's advice.
S2, the user information according to patient initiate artificial smart phone to patient.
After the prescription or doctor's advice for getting patient, system calling patient or its contact phone, certainly by artificial intelligence
Right language processing techniques realize that the voice of computer and patient link up interaction, inquire patient or its contact person's problem, and according to trouble
The voice feedback of person or its contact person record feedback content, and carry out voice feedback.In the prior art, have using wechat/APP
Etc. Internet applications carry out prompting message, but this mode need wechat or APP setting medication alert, stepped on by patient or family members
Remember the point and medicining cycle medication time of patient, software program carries out alarm clock, wechat, APP information according to the medication time of setting
Or short message reminding function, and since gerontal patient is low using smart phone ratio, many old men not will use, difficulty of learning, make
With threshold height, and to still rely on patient conscious for the behavior including setting medication alert, if patient will not or be reluctant to set
It sets, still can not effectively reach the target of management drug compliance.
S3, the artificial intelligence phone is connected in response to patient, whether inquiry patient complies with prescription and/or doctor's advice treatment,
If so, S4 is executed, if it is not, then executing S8 and S9.
Specifically, whether inquiry patient complies with prescription and/or doctor's advice treatment includes:
It is asked whether according to prescription and/or doctor's advice using the drug issued in prescription or doctor's advice；
According to prescription and/or doctor's advice inquiry using drug period dosage method it is whether consistent with prescription or doctor's advice；
According to prescription and/or doctor's advice inquiry during using drug, if while using other drugs；
It is asked whether to carry out diet control, athletic rehabilitation etc. according to prescription and/or doctor's advice according to prescription and/or doctor's advice.
If patient not according to certain in prescription and/or doctor's advice one or several, enter S8, if completely abide by prescription and/
Or doctor's advice, then enter S4.
Whether S4, inquiry patient have adverse drug reaction, if it is not, S5 is then executed, if so, executing S6.
Specifically, whether inquiry patient has because of drug-induced adverse reaction, can refer to drug explanation during inquiry
Common adverse reactions in book are enumerated.
S5, after reaching the preset time, repeat S2-S3.
It is such as preferable for curative compliance, possible adverse reaction is not fed back, can be executed according to prescription and/or doctor's advice
Patient be again introduced into S2 according to preset interval time, periodically using artificial smart phone call patient, specifically
The period of telephonic communication sets and adjusts according to patient disease, quality scheme, sufferers themselves or the requirement of attending physician again
It is whole.
S6, it assesses whether to need to intervene or adjust prescription, if so, S7 is executed, if it is not, then executing S5.
According to the voice feedback of patient or its contact person in step before, system carries out speech analysis, according to feedback
Whether content, the prescription and/or doctor's advice and patient for compareing patient have fed back possible adverse reaction, judge that its treatment is complied with
Whether property or its therapeutic scheme need doctor to intervene or adjust, judgment criteria include the following:
Sufferers themselves are inquired whether according to prescription and/or doctor's advice execution therapeutic scheme and life style, such as whether make on time
With drug, whether sufferers themselves propose the discomfort after the problem related to prescription and/or doctor's advice, such as medication, if patient proposes
(patient actively proposes the explanation of adverse drug reaction to symptom explanation relevant to adverse drug reaction, obtains needing to intervene
The main foundation of assessment result), then assessment result be need intervene or adjust prescription, otherwise assessment result be do not need intervene or
Adjust prescription.
S7, to attending physician occur reminder message, the reminder message include patient identity, prescription and/or doctor's advice information,
The symptom explanation and patient compliance prescription and/or doctor's advice treatment condition for the adverse drug reaction that patient proposes.
By S6, system judges that the Treatment Compliance needs attending physician to be intervened, then system records patient
Or the feedback of its contact person, generation pay close attention to prompting report (electronic document), are sent to the master of the patient recorded in system
Control doctor.
S8, inquiry patient comply the reason of prescription and/or doctor's advice treatment.
Specifically, system inquires the reason of patient or its contact person are not carried out prescription or doctor's advice by voice.
S9, the feedback for obtaining patient judge whether solvable if can not answer executes S6 for the feedback of the patient, if
Solvable then executes S10 and S11.
After system voice inquiry, patient or the voice feedback of its contact person are recorded and parsed, judges whether the feedback can be by
System is answered or is given and instructs, and the standard of judgement is as follows:
Judge whether the feedback feedback whether solvable process includes: analysis patient of the patient anticipates with the subjective of patient
It is willing to correlation, such as is not desired to take medicine, is unwilling to limit the intake of salt or sugar, then judges that the feedback of patient or its contact person are that system can
With what is answered, then enter S10.Conversely, whether analysis patient proposes explanation relevant to therapeutic scheme, i.e., whether with disease
Clinics and Practices scheme itself is related, and such as possible adverse drug reaction, therapeutic scheme be invalid, progression of disease or other diseases occurs
Shape etc. then enters S6 if so, judging that the feedback of the patient can not be answered.
S10, the answer to match with the feedback of the patient is obtained in pre-established knowledge base.
Such as can have system answer through S9 judgement, enter step 10, system according to the feedback of patient or its contact person,
Carry out voice prompting, education and answer, after enter step 11.
Whether S11, inquiry patient receive answer, if receiving, execute S6, if not receiving, execute S8 and S9.
In a preferred embodiment of the invention, before executing S5 further include: generate patient's treatment condition record, tool
Body, the time and content, communication that record call voice is linked up are recorded in system in the form of e-text, generate the trouble
The curative compliance of person records.
On the other hand, the prescription drug compliance management system based on NLP that the present invention also provides a kind of referring to fig. 2 should
System includes server, database, is integrated with the artificial intelligence phone mould including natural language processing module, base module
Block, wherein the database, artificial intelligence phone module are connect with server；
The database is for establishing medical archive, prescription and/or doctor including the user information of patient and the patient
Advise information；
For the knowledge base for establishing problem base, described problem library includes the answer to match with feedback problem；
The natural language processing module is used for into the artificial intelligence telephone relation that patient initiates, at natural language
The feedback of reason technology analysis identification patient is semantic.
Preferably, the system also includes the one or more doctor's clients connecting with server communication.
Prescription drug compliance management system provided in an embodiment of the present invention based on NLP, operation is referring to above-mentioned
The prescription drug compliance management method based on NLP that embodiment provides, in this system embodiment no longer to its operation
It repeats.
The present invention is based on mature NLP technologies, and drug compliance inquiry phone is actively initiated to patient, is not limited to intelligent hand
Machine client parses feedback, screens to problem, and is raw by carrying out interactive voice with patient or its contact person
It is sent to attending physician at report, alleviates the pressure in short supply of medical treatment manpower resource, is conducive to improve Patient drug's compliance, from
And improve medication effect.
Obviously, those skilled in the art can carry out various modification and variations without departing from spirit of the invention to invention
And range.If in this way, these modifications and changes of the present invention belong to the claims in the present invention and its equivalent technologies range it
Interior, then the invention is also intended to include including these modification and variations.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of prescription drug compliance management method based on NLP characterized by comprising
S1, the user information for obtaining patient and prescription and/or doctor's advice information；
S2, the user information according to patient initiate artificial smart phone to patient；
S3, the artificial intelligence phone is connected in response to patient, whether inquiry patient complies with prescription and/or doctor's advice treatment, if so,
Then execute S4；
Whether S4, inquiry patient have adverse drug reaction, if it is not, then executing S5；
S5, after reaching the preset time, repeat S2-S3.
2. the prescription drug compliance management method according to claim 1 based on NLP, which is characterized in that inquired in S4
Whether patient has adverse drug reaction, if so, executing S6；
S6, it assesses whether to need to intervene or adjusts prescription, if it is not, then executing S5, evaluation process includes: that patient proposes with drug not
Good to react relevant symptom explanation, then assessment result is to need intervention or adjustment prescription, and otherwise assessment result is not need to intervene
Or adjustment prescription.
3. the prescription drug compliance management method according to claim 2 based on NLP, which is characterized in that assessed in S6
Whether need to intervene or adjust prescription, if so, executing S7；
S7, reminder message occurs to attending physician, the reminder message includes patient identity, prescription and/or doctor's advice information, patient
The symptom explanation and patient compliance prescription and/or doctor's advice treatment condition of the adverse drug reaction of proposition.
4. the prescription drug compliance management method according to claim 2 based on NLP, which is characterized in that inquired in S3
Whether patient complies with prescription and/or doctor's advice treatment, if it is not, then executing S8 and S9；
S8, inquiry patient comply the reason of prescription and/or doctor's advice treatment；
S9, the feedback for obtaining patient judge whether solvable if can not answer executes S6 for the feedback of the patient；Judge institute
State patient feedback whether solvable process include: analysis patient whether propose explanation relevant to therapeutic scheme, if so, sentencing
The feedback of the patient of breaking can not be answered.
5. the prescription drug compliance management method according to claim 4 based on NLP, which is characterized in that judge in S9
Whether solvable if solvable executes S10 and S11 to the feedback of the patient；
S10, the answer to match with the feedback of the patient is obtained in pre-established knowledge base；
Whether S11, inquiry patient receive answer, if receiving, execute S6.
6. the prescription drug compliance management method according to claim 5 based on NLP, which is characterized in that inquired in S11
Whether patient receives answer, if not receiving, executes S8 and S9.
7. the prescription drug compliance management method according to claim 1 based on NLP, which is characterized in that obtained in S1
Before the user information and prescription and/or doctor's advice information of patient further include:
The user information of pre- typing patient and the prescription of the patient and/or doctor's advice information in system database, the patient's
User information includes telephone number.
8. the prescription drug compliance management method according to claim 2 based on NLP, which is characterized in that executing S5
Before further include: generate patient's treatment condition record.
9. a kind of prescription drug compliance management system based on NLP, which is characterized in that including server, database, be integrated with
Artificial intelligence phone module including natural language processing module, base module, wherein the database, artificial intelligence electricity
Words module is connect with server；
The database is for establishing medical archive, prescription and/or doctor's advice letter including the user information of patient and the patient
Breath；
For the knowledge base for establishing problem base, described problem library includes the answer to match with feedback problem；
The natural language processing module is used for into the artificial intelligence telephone relation that patient initiates, with natural language processing skill
The feedback of art analysis identification patient is semantic.
10. the prescription drug compliance management system according to claim 8 based on NLP, which is characterized in that further include with
One or more doctor's clients of server communication connection.
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| CN112907045A (en) * | 2021-02-02 | 2021-06-04 | 方翔 | Intelligent medical data acquisition method based on 5G Internet of things |
| CN113555012A (en) * | 2020-04-22 | 2021-10-26 | 深圳市前海高新国际医疗管理有限公司 | Artificial intelligent voice interaction recognition system and use method thereof |
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