CN106650214A - Medicine getting and taking prompting system and method for medical care management - Google Patents
Medicine getting and taking prompting system and method for medical care management Download PDFInfo
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- CN106650214A CN106650214A CN201610887835.2A CN201610887835A CN106650214A CN 106650214 A CN106650214 A CN 106650214A CN 201610887835 A CN201610887835 A CN 201610887835A CN 106650214 A CN106650214 A CN 106650214A
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Abstract
The invention discloses a medicine getting and taking prompting system for medical care management. The system comprises a nurse management platform, a human-computer interaction unit connected with the nurse management platform, a computing unit integrated in the nurse management platform, a medicine storage device performing information communication with the nurse management platform and a reminding unit connected with the nurse management platform. A medicine getting and taking prompting method comprises the steps that S1, a medical worker inputs patient medicine-taking information into the nurse management platform; S2, the nurse management platform receives and stores patient information and the patient medicine-taking information; S3, the stored patient information and patient medicine-taking information are extracted; S4, the computing unit is adopted to perform classification and computing on patient data based on the Bayes computing method; S5, the patient data and patient medicine-taking data obtained after computing are output; S6, the medical worker is reminded through a sound module; S7, the medical worker gives a prompt to go to the medicine storage device to get medicine according to the data output through Bayes computing and then delivers the withdrawn medicine to the patient. Through the medicine getting and taking prompting system and method, data query efficiency is improved, and it is convenient for the medical worker to perform unified management on multiple patients.
Description
Technical field
The present invention relates to MCA field in hospital, and more particularly to can be in hospital, especially large hospital
Drug delivery, the dosing prompt system and method used for the patient in the multiple wards of medical personnel's treatment.
Background technology
At present, in the automatic medication alert field of patient, there are substantial amounts of mature technology, such as patent in the market
Number a kind of electronics medicament taking prompter, the patent No. 201020685763.1 disclosed in 201220267905.1 are disclosed to be carried with medication
Show the mobile terminal of function, Portable prompter for medicine taking, the patent No. disclosed in the patent No. 201110365433.3
Medicine taking prompting watch disclosed in 200920165863.9 etc., can be realized the timing of patient's medication, be determined by different modes
Amount is reminded, and practical very convenient, applicability is wider, it is not necessary to artificially remind patient, also avoids patient from forgeing medication phenomenon
Generation.
But, in the various large hospital of patient, the patient for especially needing medical personnel to look after is carried out certainly in patient
Before my reminding function, it is necessary to which medical personnel are according to different patient's drug delivery, prompting patient's medication.In large hospital, face
To thousands of patients, if getting it filled one to one, reminding patient that medication is exactly a kind of hard work.For not the same year
In age, the patient of various disease will be into different data be produced, in the face of huge patient data, traditional data query method
It is this method not only intricate operation from the extracting data information of magnanimity using the request of patient or nurse, increases inquiry right
With the complexity of matching, it is also easy to because uncertain system, the external world or thinking that disturbing factor causes the system cannot be effectively
Analysis user request information, prevents the information of return user from realizing meeting the desired value of user, same to ward, the trouble of similar disease
How person is classified data using the association between these data in medication, all certain correlations of aspect such as call out the numbers
It is exactly the technical problem to be solved in the present invention, medical personnel can be made in managing patient, from the database of Han Hao preparatively
Corresponding patient is found out, patient profiles are inquired about, and then is taken medicine in time, remind patient's medication.Greatly increase data query
Efficiency, improve nurse level, meet the demand of patient.
The content of the invention
For above-mentioned technical deficiency, it is an object of the invention to provide a kind of based on Bayesian multidimensional data grader
For the getting it filled of MCA, dosing prompt system and method, can make medical personnel from immense patient data rapidly
Finding needs drug delivery, the patient of medication, the patient of medication can be needed to carry out batch the time period in certain period of time
Property drug delivery, medication managing, meanwhile, the present invention also introduces a kind of medicament storage device of constant temperature and humidity, can realize that patient uses
The constant temperature and humidity management of medicine, takes conveniently, practical.
The present invention is employed the following technical solutions：
It is a kind of flat for the getting it filled of MCA, dosing prompt system, including nurse management platform and the nurse management
The man-machine interaction unit of platform connection, is integrated in the computing unit and the nurse management platform information of the nurse management platform
The medicament storage device of communication and the reminding unit being connected with the nurse management platform；
Wherein described computing unit includes that the data that data storage cell and the data storage cell connect extract single
The data outputting unit and the number of the taxon and taxon connection of unit and data extracting unit connection
According to the display module that output unit connects；
Wherein described reminding unit includes the voice module and the voice module based on ISD4003-04MP speech chips
The single-chip microcomputer and serial ports terminal of connection；
Wherein described man-machine interaction unit carries out information exchange by input, output module and medical personnel, in order to cure
Shield personnel carry out manual intervention, and the patient that specifies is taken out and given to the manual intervention comprising by the medicine in medicament storage device
With setting reminder time.
Further, the man-machine interaction unit also includes mouse, keyboard.
Further, the operating system of the nurse management platform can be WindowsXP, Windows7, Windows8
Or Windows10.
Further, the computing unit is based on the computing unit of Bayesian Classification Model, the Bayes's classification mould
Type is based on the data model of probability statistics.Bayesian Classification Model can be by immense data according to the data mould of probability statistics
Type is calculated, and draws the larger data of probability, and according to data patient's medication situation is extrapolated.
Further, the taxon includes Bayes classifier, and the Bayes classifier can be according to patient's
Prior probability, using Bayesian formula its posterior probability is calculated.
Further, the medicament storage device be constant temperature and humidity cabinet and including cabinet 1, be arranged in cabinet 1
Master Control Unit, Temperature Humidity Sensor, temperature and humidity controller, the monitoring unit 6, alarm module for being arranged on the top of cabinet 1, bar code are swept
Retouch device, be arranged in cabinet 1 and upper lower leaf, left and right be arranged side by side drawer 2, be arranged on outside the drawer 2 handle 3,
The indicator lamp 5 that is arranged on the drawer 2 and arranging drawer 2 is layered between upper strata drawer 2 and lower floor's drawer 2 every
Plate 4；Wherein described indicator lamp 5 is multiple and is one-to-one relationship with the drawer 2.
Further, the Master Control Unit and the drawer 2, Temperature Humidity Sensor, temperature and humidity controller, bar code scan
Device, alarm module, monitoring unit, display connection.
Further, the display module is LED LCDs.
It is a kind of for the getting it filled of MCA, dosing prompt method, comprise the following steps：
(S1) medical personnel are input into patient's medication information by the man-machine interaction unit on nurse management platform；
(S2) nurse management platform receives and stores the medication information of patient and patient；
(S3) medical personnel carry out information extraction to the patient that stored and patient's medication information；
(S4) patient data is classified, is calculated based on Bayes's computational methods using computing unit；
(S5) the patient and patient medication data after output is calculated；
(S6) reminding unit reminds medical personnel, medical personnel to show by display module observation by sound module
As a result；
(S7) medical personnel go at medicament storage device to get it filled according to the Notes of Key Data that Bayes calculates output, then will take
The medicine for going out is delivered at patient.
Further, the step (S4) comprises the following steps：
(S41) patient data sample is chosen from database, the Data Identification of multiple patients is set；
(S42) each corresponding classifying rules of mark is determined according to clinical samples data；
(S43) patient data to be identified is obtained by the data group of patient；
(S44) per group of patient data to be identified is traveled through into all classifying rules；
(S45) the matching number of patient data to be identified in current group of every kind of classifying rules matching is calculated；
(S46) the maximum corresponding mark for being designated the data for currently organizing to be identified of classifying rules of matching number is determined.
The invention has the advantages that：
The present invention adopt Bayesian multidimensional data sorting technique, using between data exist relevance by data according to
Difference search dimensions carry out Classification Management, can make medical personnel rapidly find from immense patient data need drug delivery,
The patient of medication, can need the patient of medication to carry out bulk drug delivery, medication the time period in certain period of time
Management, is effectively improved efficiency data query, is easy to medical personnel to be managed collectively multiple patients.
The present invention using constant temperature and humidity medicament storage device, the device can realize medicine intelligent secure access and
A large amount of medications of patient are carried out constant temperature and humidity management by digitlization assets information management, management is orderly, it is to avoid because medicine compared with
Cause the generation of medicine confusion phenomena, drug information enquiry is convenient, security performance is high more, take conveniently, it is practical.
Description of the drawings
Fig. 1 is the present invention for the getting it filled of MCA, the system principle schematic diagram of dosing prompt system and method；
Fig. 2 is that the present invention illustrates for the principle of computing unit in the getting it filled of MCA, dosing prompt system and method
Figure；
Fig. 3 is structure of the present invention for medicine storage device in the getting it filled of MCA, dosing prompt system and method
Schematic diagram；
Fig. 4 is control of the present invention for medicine storage device in the getting it filled of MCA, dosing prompt system and method
Principle schematic；
Fig. 5 is the present invention for the getting it filled of MCA, the method flow diagram of dosing prompt system and method；
In figure, 1- cabinets, 2- drawers, 3- handles, 4- dividing plates, 5- indicator lamps, 6- monitoring units, 7- displays.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
As shown in figure 1, a kind of for the getting it filled of MCA, dosing prompt system, including nurse management platform and described
The man-machine interaction unit of nurse management platform connection, is integrated in the computing unit and nurse pipe of the nurse management platform
The medicament storage device of platform information communication and the reminding unit being connected with the nurse management platform.
In the present invention, the nurse management platform enters row information and leads to by tcp/ip communication agreement and medicament storage device
News, can inquire about the drug information situation stored in medicament storage device by nurse management platform.
As shown in Fig. 2 wherein described computing unit includes the number that data storage cell and the data storage cell connect
The taxon connected according to extraction unit and the data extracting unit and the data outputting unit of taxon connection,
The display module being connected with the data outputting unit；
Wherein described reminding unit includes the voice module and the voice module based on ISD4003-04MP speech chips
The single-chip microcomputer and serial ports terminal of connection, the module is connected by serial ports terminal with nurse management platform, the work(with voice reminder
Can, it is easy to operate.
Wherein described man-machine interaction unit carries out information exchange by input, output module and medical personnel, in order to cure
Shield personnel carry out manual intervention, and the patient that specifies is taken out and given to the manual intervention comprising by the medicine in medicament storage device
With setting reminder time.
In the present invention, data extracting unit can obtain sample data from data storage cell, the sample that then will be obtained
Notebook data is individually stored in the unit of dry storage uncorrelated to data storage device, is used as research, investigation etc..
Further, the man-machine interaction unit also includes mouse, keyboard.
Further, the operating system of the nurse management platform can be but be not limited to WindowsXP,
Windows7、Windows8、Windows10。
Further, the computing unit is based on the computing unit of Bayesian Classification Model, the Bayes's classification mould
Type is based on the data model of probability statistics.Bayesian Classification Model can be by immense data according to the data mould of probability statistics
Type is calculated, and draws the larger data of probability, and according to data patient's medication situation is extrapolated.
Further, the taxon includes Bayes classifier, and the Bayes classifier can be according to patient's
Prior probability, using Bayesian formula its posterior probability is calculated.
In the present invention, data storage cell is Oracle large databases, and user will can be suffered from by input, output module
The data of person are employed, generally when patient is in hospital, you can employ user profile, such as, and patient's name, sex, identity card
Number, patient's ownership section office, physician-in-charge, admission number, telephone number, emergency power telephone number, medicining condition etc..In every case have
The account of the oracle database and the user of password, simply enter the relevant information of patient, you can inquire about the situation of the patient.
As shown in figure 3, the medicament storage device be constant temperature and humidity cabinet and including cabinet 1, be arranged in cabinet 1
Master Control Unit, Temperature Humidity Sensor, temperature and humidity controller, the monitoring unit 6, alarm module for being arranged on the top of cabinet 1, bar code are swept
Retouch device, be arranged in cabinet 1 and upper lower leaf, left and right be arranged side by side drawer 2, be arranged on outside the drawer 2 handle 3,
The indicator lamp 5 that is arranged on the drawer 2 and arranging drawer 2 is layered between upper strata drawer 2 and lower floor's drawer 2 every
Plate 4；Wherein described indicator lamp 5 is multiple and is one-to-one relationship with the drawer 2.
In the present invention, monitoring unit 6 is wide-angle camera, and when enabling takes table or puts table, camera can be to operator
Monitoring is shot, the security got it filled further is improved.
In the present invention, barcode scanner is controlled by main control unit, and the bar code scan information on medicine can be swept
Retouch, then the drug information after scanning is saved in main control unit, inquired about for medical personnel by display, having to pass through
Drug information is preserved and uploads to nurse management platform by communication protocol.
As shown in figure 4, the Master Control Unit and the drawer 2, Temperature Humidity Sensor, temperature and humidity controller, bar code scan
Device, alarm module, monitoring unit, display connection.
Further, the display module is LED LCDs.
In the present invention, user can be deposited to medicine by being arranged on the handle 3 outside the drawer 2 or be led
Take, in storage, drug information is scanned by barcode scanner, in Temperature Humidity Sensor sensing medicament storage device
Temperature and humidity, temperature and humidity controller can make the temperature and humidity in medicament storage device that the temperature of demand is deposited in medicine
And humidity.Indicator lamp 5 can show the drug condition got in each drawer 2, and when someone gets the time, indicator lamp 5 can show
Light, and can be by the platform prompting of prompting nurse management.When there are abnormal conditions, such as there is no people's neck of neck medicine qualification
Medicine or the temperature and humidity condition in needing to fill up new drug or medicament storage device can not meet the storage requirement of medicine
Situation, alarm module can alarm prompt.
As shown in figure 5, it is a kind of for the getting it filled of MCA, dosing prompt method, comprise the following steps：
(S1) medical personnel are input into patient's medication information by the man-machine interaction unit on nurse management platform；
In this step, medical personnel periodically can store patient data or drug data in nurse management platform, with
Use for doctor, medical personnel.Patient medication information can be：Such as 3 doses of Chinese medicine one day, send once for 2 days, 4 points of every afternoon
Give patient or family numbers of patients, 20 kinds of Western medicine, the information of the analogue such as respectively 2,4,5,8,9, No. 10 patients.
(S2) nurse management platform receives and stores the medication information of patient and patient；
In this step, data storage cell is Oracle large databases, it would be preferable to support system infinitely expands, High Availabitity
Property, high security, data analysis, data warehouse, Content Management etc..
(S3) medical personnel carry out information extraction to the patient that stored and patient's medication information；
In this step, can needing to patient and patient's medication information patient information extraction, after extraction according to management
Data can be analyzed in the nurse management platform, it is also possible to use in other servers.Data in the present invention are extracted single
Unit can be hardware, or software.
(S4) patient data is classified, is calculated based on Bayes's computational methods using computing unit；
In this step, realized by following steps：
(S41) patient data sample is chosen from database, the Data Identification of multiple patients is set；
(S42) each corresponding classifying rules of mark is determined according to clinical samples data；
(S43) patient data to be identified is obtained by the data group of patient；
(S44) per group of patient data to be identified is traveled through into all classifying rules；
(S45) the matching number of patient data to be identified in current group of every kind of classifying rules matching is calculated；
(S46) the maximum corresponding mark for being designated the data for currently organizing to be identified of classifying rules of matching number is determined.
In being embodied as the present invention, in classification, it is often necessary to which a patient is assigned to multiple classifications.If it
Numerous attributes regard a vector as, i.e. x=(x1, x2, x3 ..., xn) represents the things of this classification with this vector of x.
Classification is also have many kinds, is represented with set Y={ y1, y2 ... ym }.If x belongs to y1 classifications, it is possible to stamp y1 marks to x
Sign, mean that x belongs to y1 classifications.
One group of database sample is given below：
According to conditional independence assumption, it is not necessary to calculate class conditional probability of each combination of X and Y, only need to be to giving
Y, calculates the conditional probability of each xi.
In training sample data given herein above, our final goals are, according to given patient profiles, to judge to which class
Patient carries out drug delivery, reminding function.
Bayes's computational methods are adopted in the present invention, and Bayesian formula is formula critically important in probability theory, in probability
By calculating in play critically important effect.
Assume conditions of patients attribute definition be：
X=(state of an illness=slight, age bracket=adult, Chinese medicine=be, one day dose=no)
In this example, attribute vector X=(state of an illness, age bracket, Chinese medicine, one day dose), class set Y={ is, no }.
We need to calculate posterior probability P (being /x) and P (no/x) using training data, if P (being /x)>P (no/x), then new real
Example is classified as, and is otherwise no.
In order to calculate posterior probability, it would be desirable to calculate prior probability P (YES) and P (no) and class conditional probability P (xi/Y).
In order to calculate posterior probability, it would be desirable to calculate prior probability P (YES) and P (no) and class conditional probability P (xi/Y).
Because it is that 5 samples belong to no to have 9 samples to belong to, so P (YES)=9/14, P (no)=5/14.
Class conditional probability is calculated as follows：
P (state of an illness=slight/be)=2/9, P (state of an illness=slight/no)=3/5；
P (age bracket=be grown up/be)=3/9, P (age bracket=adult/no)=1/5；
P (Chinese medicine=be/be)=3/9, P (Chinese medicine=Yes/No)=4/5；
P (one day dose=no/be)=3/9, P (one day dose=no/no)=3/5；
Posterior probability is calculated as follows：
P (being /x)=P (state of an illness=slight/be) × P (age bracket=be grown up/be) × P (Chinese medicine=be/be) × P (one day
Dose=no/be) × P (YES)=2/9 × 3/9 × 3/9 × 3/9 × 3/9 × 9/14=2/243=9/1701 ≈ 0.00529
P (no/x)=P (state of an illness=slight/no) × P (age bracket=adult/no) × P (Chinese medicine=Yes/No) × P (one day
Dose=no/no) × P (no)=3/5 × 1/5 × 4/5 × 3/5 × 5/14=18/875 ≈ 0.02057
By calculating P (no/x)>P (being /x), so the sample classification is no.
Hypothesis has has come a new samples x1=(state of an illness=extremely serious, age bracket=adult, Chinese medicine=be, one day medicine
Amount=no), it is desirable to it is classified.We come start calculate,
P (state of an illness=extremely serious/be)=0/9=0P (state of an illness=extremely serious/no)=0/5=0
Calculate here, it is unexistent in above-mentioned sample just it may be noted that occurring in that a new property value here.
If the class conditional probability of an attribute is 0, then the posterior probability of whole class is equal to 0, and we can directly obtain posteriority
Probability P (being /x1)=P (no/x1)=0, at this moment the two is equal, it is impossible to classify.
When above-mentioned sample can not cover so much property value, can all there is above-mentioned awkward situation.Simply use sample
Ratio is too fragile come the method for estimating class conditional probability, especially when training sample is few and during very big attribute number.
Solution is to estimate (m-estimate) method to estimate conditional probability using m：
Wherein, n is the total sample number in class yj, and nc is the sample number of value xi in class yj, and m is referred to as equivalent samples size
Parameter, and the parameter that p is user to be specified.If without training set (i.e. n=0), P (xi/yj)=p, therefore p are considered as
It is the prior probability that property value xi is observed in the sample of class yj.Equivalent samples size determines prior probability and observation probability nc/n
Between balance.The method here does not elaborate.
The result of Bayesian inference is largely dependent upon prior probability, be not in addition completely receive or refuse it is assumed that
Simply increase or reduce the possibility of hypothesis after more data are observed.
(S5) the patient and patient medication data after output is calculated；
In this step, after calculating, the probability data of various situations is exported.
(S6) reminding unit reminds medical personnel, medical personnel to show by display module observation by sound module
As a result；
In step, nurse management platform is reminded according to probability data and arranged, and medical personnel are reminded, specific number
According to can be shown by display module.
(S7) medical personnel go at medicament storage device to get it filled according to the Notes of Key Data that Bayes calculates output, then will take
The medicine for going out is delivered at patient.
Medical personnel are sent to according to reminding the medicine taking-up of corresponding patient in medicament storage device.
The system of the present invention has the functions such as prescription management, patient files information management, drug dose information management.It is dashed forward
The technique effect for going out is：
The present invention adopt Bayesian multidimensional data sorting technique, using between data exist relevance by data according to
Difference search dimensions carry out Classification Management, can make medical personnel rapidly find from immense patient data need drug delivery,
The patient of medication, can need the patient of medication to carry out bulk drug delivery, medication the time period in certain period of time
Management, is effectively improved efficiency data query, is easy to medical personnel to be managed collectively multiple patients.
The present invention using constant temperature and humidity medicament storage device, the device can realize medicine intelligent secure access and
A large amount of medications of patient are carried out constant temperature and humidity management by digitlization assets information management, management is orderly, it is to avoid because medicine compared with
Cause the generation of medicine confusion phenomena, drug information enquiry is convenient, security performance is high more, take conveniently, it is practical.
Although the foregoing describing the specific embodiment of the present invention, it will be appreciated by those of skill in the art that these
Specific embodiment is merely illustrative of, those skilled in the art without departing from the present invention principle and essence in the case of,
Various omissions, substitutions and changes can be carried out to the details of said method and system.For example, said method step is merged, so as to
Substantially identical function is performed according to substantially identical method then belong to the scope of the present invention to realize substantially identical result.Cause
This, the scope of the present invention is only limited by the claims that follow.
Claims (10)
1. it is a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that including nurse management platform and described
The man-machine interaction unit of nurse management platform connection, is integrated in the computing unit and nurse pipe of the nurse management platform
The medicament storage device of platform information communication and the reminding unit being connected with the nurse management platform；
Wherein described computing unit include the data extracting unit that data storage cell and the data storage cell connect and
The taxon of the data extracting unit connection and the data outputting unit and the data of taxon connection are defeated
Go out the display module of unit connection；
Wherein described reminding unit includes voice module and the voice module connection based on ISD4003-04MP speech chips
Single-chip microcomputer and serial ports terminal；
Wherein described man-machine interaction unit carries out information exchange by input, output module and medical personnel, in order to medical care people
Member carries out manual intervention, and the manual intervention by the medicine in medicament storage device comprising taking out and give the patient that specifies and set
Put reminder time.
2. it is according to claim 1 a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that described
Man-machine interaction unit also includes mouse, keyboard.
3. it is according to claim 1 a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that described
The operating system of nurse management platform can be WindowsXP, Windows7, Windows8, Windows10.
4. it is according to claim 1 a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that described
Computing unit is that, based on the computing unit of Bayesian Classification Model, the Bayesian Classification Model is based on the data of probability statistics
Model.
5. it is according to claim 1 a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that described
Taxon includes Bayes classifier.
6. it is according to claim 1 a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that described
Medicament storage device is constant temperature and humidity cabinet and passes including cabinet (1), the Master Control Unit being arranged in cabinet (1), humiture
Sensor, temperature and humidity controller, the monitoring unit (6) being arranged on above cabinet (1), alarm module, barcode scanner, it is arranged on cabinet
In body (1) and upper lower leaf, left and right be arranged side by side drawer (2), be arranged on the outside handle (3) of the drawer (2), be arranged on
Drawer (2) is layered between indicator lamp (5) and setting upper strata drawer (2) and lower floor's drawer (2) on the drawer (2)
Dividing plate (4)；Wherein described indicator lamp (5) is multiple and with the drawer (2) be one-to-one relationship.
7. it is according to claim 6 a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that described
Master Control Unit and the drawer (2), Temperature Humidity Sensor, temperature and humidity controller, barcode scanner, alarm module, monitoring unit
With display connection.
8. it is according to claim 1 a kind of for the getting it filled of MCA, dosing prompt system, it is characterised in that described
Display module is LED LCDs.
9. it is a kind of for the getting it filled of MCA, dosing prompt method, it is characterised in that to comprise the following steps：
(S1) medical personnel are input into patient's medication information by the man-machine interaction unit on nurse management platform；
(S2) nurse management platform receives and stores the medication information of patient and patient；
(S3) medical personnel carry out information extraction to the patient that stored and patient's medication information；
(S4) patient data is classified, is calculated based on Bayes's computational methods using computing unit；
(S5) the patient and patient medication data after output is calculated；
(S6) reminding unit reminds medical personnel, medical personnel to show knot by display module observation by sound module
Really；
(S7) medical personnel go at medicament storage device to get it filled according to the Notes of Key Data that Bayes calculates output, then by taking-up
Medicine is delivered at patient.
10. it is a kind of for the getting it filled of MCA, dosing prompt method according to right 5, it is characterised in that the step
(S4) comprise the following steps：
(S41) patient data sample is chosen from database, the Data Identification of multiple patients is set；
(S42) each corresponding classifying rules of mark is determined according to clinical samples data；
(S43) patient data to be identified is obtained by the data group of patient；
(S44) per group of patient data to be identified is traveled through into all classifying rules；
(S45) the matching number of patient data to be identified in current group of every kind of classifying rules matching is calculated；
(S46) determine the maximum corresponding mark for being designated the data for currently organizing to be identified of classifying rules of matching number to sufferer
Person carries out Multidimensional Data Model division.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108022653A (en) * | 2017-11-10 | 2018-05-11 | 平安科技（深圳）有限公司 | Characteristic-acquisition method, electronic device and the computer-readable recording medium of management and control medicine |
| CN113035313A (en) * | 2021-04-15 | 2021-06-25 | 广州中康数字科技有限公司 | Medicine taking reminding system and method for remotely monitoring medicine taking of patient |
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Application publication date: 20170510 |