CN113539411A - Auxiliary medication effect pre-judgment analysis system and method - Google Patents
Auxiliary medication effect pre-judgment analysis system and method Download PDFInfo
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- 239000003814 drug Substances 0.000 title claims abstract description 120
- 230000000694 effects Effects 0.000 title claims abstract description 48
- 238000004458 analytical method Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 13
- 229940079593 drug Drugs 0.000 title claims description 66
- 201000010099 disease Diseases 0.000 claims abstract description 50
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 50
- 238000012216 screening Methods 0.000 claims abstract description 21
- 238000012856 packing Methods 0.000 claims abstract description 11
- 238000004806 packaging method and process Methods 0.000 claims abstract description 7
- 238000011156 evaluation Methods 0.000 claims description 9
- 239000002671 adjuvant Substances 0.000 claims description 8
- 230000007721 medicinal effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
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- 230000000875 corresponding effect Effects 0.000 description 37
- 238000007405 data analysis Methods 0.000 description 2
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- 206010002091 Anaesthesia Diseases 0.000 description 1
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
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- 206010012601 diabetes mellitus Diseases 0.000 description 1
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- 230000002526 effect on cardiovascular system Effects 0.000 description 1
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- 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
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention relates to the technical field of auxiliary medicine application prediction, in particular to an auxiliary medicine application effect prediction analysis system and method, which are used for solving the problem that in the prior art, an auxiliary medicine application prediction analysis system cannot predict the medicine application amount of auxiliary medicine, so that a doctor cannot easily judge the optimal auxiliary medicine application amount. The device comprises a data screening unit, a data packing unit, a database unit, a dosage pre-judging and analyzing unit and an output unit which are electrically connected in sequence; the data screening unit is used for extracting and screening medical record data; the data packing unit is used for forming a data package; the database unit is used for storing a plurality of data packets in the data packaging unit; the dose pre-judging and analyzing unit is used for matching a corresponding data packet; the output unit is used for outputting the data packet corresponding to the disease incidence name. According to the invention, the corresponding data packet can be obtained only by inputting the disease incidence name, and the doctor can obtain the corresponding suggestion of the auxiliary dosage according to the content of the data packet.
Description
Technical Field
The invention relates to the technical field of auxiliary medication prediction, in particular to an auxiliary medication effect prediction analysis system and method.
Background
The definition of the auxiliary medicine is that the medicine is helpful for increasing the effect of the main treatment medicine or increasing the curative effect of the main treatment medicine by influencing the absorption, action mechanism and metabolism of the main treatment medicine, or is helpful for preventing and treating diseases or dysfunction on the basis of the conventional treatment of the diseases, the auxiliary medicine generally comprises nutrition support medicine, prevention complication, conditioning Chinese patent medicine and the like according to the clinical application habit, is mainly used for the auxiliary treatment of anesthesia, tumors, operations, liver diseases, cardiovascular and cerebrovascular diseases, diabetes, infectious diseases and the like in clinic, and the effect of the auxiliary medicine is pre-judged and analyzed to guide the medication of doctors, so that a corresponding effect pre-judgment and analysis system of the auxiliary medicine is required to be constructed.
The prior art is that the predictive analysis system of auxiliary medication includes: the data acquisition module is used for acquiring relevant data of historical auxiliary medication of the HIS system of the hospital; the data analysis module is used for analyzing the acquired data; the medication trend generation module is used for acquiring the trend of historical auxiliary medication based on the analyzed data; the reasonability evaluation module is used for carrying out medication reasonability evaluation on the acquired historical auxiliary medication data to obtain an auxiliary medication evaluation catalog; the data import module is used for importing the obtained historical auxiliary medication tendency and the auxiliary medication evaluation catalog into the HIS system; the permission setting module is used for setting the permission of the user with the auxiliary medicine opening function; the display module is used for carrying out auxiliary medication warning prompt by using display equipment when auxiliary medication is opened, and simultaneously is used for displaying effect evaluation of single or multiple auxiliary medication in historical data; and the predictive analysis module is used for carrying out predictive analysis on the effect of the auxiliary medicine based on the effect evaluation of the historical data. The system can accurately provide auxiliary medication guidance for hospitals according to big data analysis results, and standardizes auxiliary medication.
However, the above-described auxiliary medication prediction analysis system cannot predict the amount of auxiliary medication, and it is difficult for a doctor to determine the optimum amount of auxiliary medication. Therefore, there is a need for an analysis system for predicting and analyzing the effect of adjuvant drugs, which can predict and guide the dosage of adjuvant drugs.
Disclosure of Invention
Based on the above problems, the present invention aims to: the utility model provides an auxiliary medication effect pre-judging analysis system and method, which is used for solving the problem that the auxiliary medication pre-judging analysis system in the prior art can not pre-judge the dosage of the auxiliary medication, so that the doctor can not judge the optimal auxiliary dosage. According to the invention, the optimal dosage is extracted and screened out from historical case data, a corresponding data packet can be obtained only by inputting the disease incidence name, and a doctor can obtain a corresponding suggestion of the optimal auxiliary dosage according to the content of the data packet.
The invention specifically adopts the following technical scheme for realizing the purpose:
a pre-judging and analyzing system for the effect of auxiliary medication comprises a data screening unit, a data packing unit, a database unit, a dosage pre-judging and analyzing unit and an output unit which are electrically connected in sequence;
the data screening unit is used for extracting historical cases and data of the dosage and the medication effect of the auxiliary medication corresponding to the historical cases, then grading the medication effect and screening out the corresponding dosage and the disease name with the highest medication effect score;
the data packing unit is used for packing disease onset names screened by the data screening unit, and medicine application names and medicine application amounts corresponding to the disease onset names to form a data packet;
the database unit is used for storing a plurality of data packets in the data packaging unit and sequencing the data packets;
the dosage pre-judging and analyzing unit is used for processing the input disease incidence name and matching a corresponding data packet;
the output unit is used for outputting the data packet corresponding to the disease incidence name.
The database unit comprises a primary database and a secondary database, and the attack time corresponding to the primary database is longer than that corresponding to the secondary database.
Preferably, the output unit comprises a voice prompt unit and a display prompt unit;
the voice prompt unit is used for broadcasting the content of the output data packet;
and the display prompting unit is used for displaying the content of the output data packet through a display screen.
A pre-judging and analyzing method for the effect of an auxiliary medicine comprises the following steps:
step 1: extracting and screening data, namely extracting historical cases and data of the dosage and the medication effect of the corresponding auxiliary medication of the historical cases, then grading the medication effect, and screening out the corresponding dosage and the disease name with the highest medication effect score;
step 2: establishing a database, packaging the disease onset names screened in the step 1, and the medicine names and the medicine dosages corresponding to the disease onset names to form data packets, and establishing the database by using a plurality of data packets;
and step 3: constructing a pre-judging analysis unit, and connecting the disease names with corresponding data packets through software to form one-to-one corresponding medicine amount pre-judging analysis units;
and 4, step 4: the training medicine amount pre-judging and analyzing unit is used for pre-inputting the disease names, judging whether the disease names correspond to the data packets or not, if so, entering the next step, and if not, entering the step 3 for matching the disease names with the data packets again;
and 5: and (4) outputting the medicine effect prejudgment, and inputting the data packet successfully trained in the step (4) for reference medicine administration of a doctor.
Wherein the database established in step 2 is associated with the time of onset.
And 5, playing the content of the data packet by a player while outputting the Chinese medicinal effect prejudgment, and displaying the content of the data packet by a display screen.
The step 2 also comprises a rationality evaluation module which is used for giving recommendation suggestions in combination with the medicine use instruction and evidence of evidence-based medicine, and the dosage is more reasonable.
The invention has the following beneficial effects:
(1) according to the invention, the optimal dosage is extracted and screened out from historical case data, a corresponding data packet can be obtained only by inputting the disease incidence name, and a doctor can obtain a corresponding suggestion of the optimal auxiliary dosage according to the content of the data packet.
(2) According to the time length of the disease attack of the patient, the corresponding data packet under the disease attack name can be obtained, so that the system can give corresponding suggestions according to the actual condition of the patient, and the practicability is higher.
(3) When the data packet is output, the display screen can display the content of the data packet, and the player can play the content of the data packet, so that a doctor can more quickly and directly acquire the content of the data packet, and more quickly and accurately grasp the dosage of the auxiliary medicine for a patient.
Drawings
FIG. 1 is a schematic diagram of an auxiliary medication effect prediction analysis system according to the present invention;
FIG. 2 is a schematic diagram of the method for predicting and analyzing the effect of an adjuvant drug.
Detailed Description
For a better understanding of the present invention by those skilled in the art, the present invention will be described in further detail below with reference to the accompanying drawings and the following examples.
Example (b):
as shown in fig. 1-2, an auxiliary medication effect pre-judgment analysis system includes a data screening unit, a data packing unit, a database unit, a medication amount pre-judgment analysis unit and an output unit, which are electrically connected in sequence;
the data screening unit is used for extracting historical cases and data of the dosage and the medication effect of the auxiliary medication corresponding to the historical cases, then grading the medication effect and screening out the corresponding dosage and the disease name with the highest medication effect score; the historical cases can be acquired from hospitals and clinics, the acquisition of the historical cases requires that various disease names are included, and the data of the dosage and the effect of the dosage corresponding to the disease names are included, so that the capacity of a database can be enlarged on one hand, and a more accurate data packet can be obtained on the other hand;
the data packing unit is used for packing the disease onset names screened by the data screening unit, and the medicine application names and the medicine application amounts corresponding to the disease onset names to form a data packet; each disease incidence name corresponds to a plurality of data packets, the dosage of each data packet under each disease incidence name is different, and the different dosage of each data packet is caused by different disease incidence time of corresponding patients, so that the severity of the disease condition is different.
The database unit is used for storing a plurality of data packets in the data packaging unit and sequencing the data packets; the sorted data packets are biased to be fetched;
the dosage pre-judging and analyzing unit is used for processing the input disease incidence name and matching a corresponding data packet;
the output unit is used for outputting the data packet corresponding to the disease incidence name.
The database unit comprises a primary database and a secondary database, the attack time corresponding to the primary database is longer than that corresponding to the secondary database, and corresponding data packets under the attack names can be obtained according to the attack time of the patients, so that the system can give corresponding suggestions according to the actual conditions of the patients, and the practicability is higher.
Preferably, the output unit comprises a voice prompt unit and a display prompt unit;
the voice prompt unit is used for broadcasting the content of the output data packet; and the display prompting unit is used for displaying the content of the output data packet through a display screen. When the data package is output, the display screen can display the content of the data package, and the player can play the content of the data package, so that a doctor can acquire the content of the data package more quickly and directly, and the dosage of the auxiliary medicine for a patient can be grasped more quickly and accurately.
A pre-judging and analyzing method for the effect of an auxiliary medicine comprises the following steps:
step 1: extracting and screening data, namely extracting historical cases and data of the dosage and the medication effect of the corresponding auxiliary medication of the historical cases, then grading the medication effect, and screening out the corresponding dosage and the disease name with the highest medication effect score; the judgment of the medication effect is derived from tracking statistics of patients after taking the medication, and the screened patient takes only one medicine and takes a plurality of medicines simultaneously without being taken into a tracking statistical object;
step 2: establishing a database, packaging the disease onset names screened in the step 1, and the medicine names and the medicine dosages corresponding to the disease onset names to form data packets, and establishing the database by using a plurality of data packets;
and step 3: constructing a pre-judging analysis unit, and connecting the disease names with corresponding data packets through software to form one-to-one corresponding medicine amount pre-judging analysis units;
and 4, step 4: the training medicine amount pre-judging and analyzing unit is used for pre-inputting the disease names, judging whether the disease names correspond to the data packets or not, if so, entering the next step, and if not, entering the step 3 for matching the disease names with the data packets again;
and 5: and (4) outputting the medicine effect prejudgment, and inputting the data packet successfully trained in the step (4) for reference medicine administration of a doctor.
Wherein the database established in step 2 is associated with the time of onset.
And 5, playing the content of the data packet by a player while outputting the Chinese medicinal effect prejudgment, and displaying the content of the data packet by a display screen.
The step 2 also comprises a rationality evaluation module which is used for giving recommendation suggestions in combination with the medicine use instruction and evidence of evidence-based medicine, and the dosage is more reasonable.
During the use, the doctor diagnoses the name of illness that the patient suffered from according to patient's state of an illness, then will attack the name input in this system, the time length that the patient sickened is inputed to the simultaneous input patient, when this system obtained the name of illness, the system can be transferred to the database and matched out corresponding data package, rethread this system output corresponding data package, the system can be broadcast and show the content of data package when the data package is exported, thereby can make the doctor can be fast direct the content of acquireing the data package more, faster more accurate snatch the dosage of supplementary medicine for patient.
The above is an embodiment of the present invention. The embodiments and specific parameters in the embodiments are only for the purpose of clearly illustrating the verification process of the invention and are not intended to limit the scope of the invention, which is defined by the claims, and all equivalent structural changes made by using the contents of the specification and the drawings of the present invention should be covered by the scope of the present invention.
Claims (7)
1. A pre-judging and analyzing system for auxiliary medication effect is characterized in that: the device comprises a data screening unit, a data packing unit, a database unit, a dosage pre-judging and analyzing unit and an output unit which are electrically connected in sequence;
the data screening unit is used for extracting historical cases and data of the dosage and the medication effect of the auxiliary medication corresponding to the historical cases, then grading the medication effect and screening out the corresponding dosage and the disease name with the highest medication effect score;
the data packing unit is used for packing disease onset names screened by the data screening unit, and medicine application names and medicine application amounts corresponding to the disease onset names to form a data packet;
the database unit is used for storing a plurality of data packets in the data packaging unit and sequencing the data packets;
the dosage pre-judging and analyzing unit is used for processing the input disease incidence name and matching a corresponding data packet;
the output unit is used for outputting the data packet corresponding to the disease incidence name.
2. The system for predicting and analyzing effect of adjuvant drug according to claim 1, wherein: the database unit comprises a primary database and a secondary database, and the attack time corresponding to the primary database is longer than that corresponding to the secondary database.
3. The system for predicting and analyzing effect of adjuvant drug according to claim 1, wherein: the output unit comprises a voice prompt unit and a display prompt unit;
the voice prompt unit is used for broadcasting the content of the output data packet;
and the display prompting unit is used for displaying the content of the output data packet through a display screen.
4. A pre-judging analysis method for auxiliary medication effect is characterized by comprising the following steps: the method comprises the following steps:
step 1: extracting and screening data, namely extracting historical cases and data of the dosage and the medication effect of the corresponding auxiliary medication of the historical cases, then grading the medication effect, and screening out the corresponding dosage and the disease name with the highest medication effect score;
step 2: establishing a database, packaging the disease onset names screened in the step 1, and the medicine names and the medicine dosages corresponding to the disease onset names to form data packets, and establishing the database by using a plurality of data packets;
and step 3: constructing a pre-judging analysis unit, and connecting the disease names with corresponding data packets to form one-to-one corresponding medicine amount pre-judging analysis units;
and 4, step 4: the training medicine amount pre-judging and analyzing unit is used for pre-inputting the disease names, judging whether the disease names correspond to the data packets or not, if so, entering the next step, and if not, entering the step 3 for matching the disease names with the data packets again;
and 5: and (4) outputting the medicine effect prejudgment, and inputting the data packet successfully trained in the step (4) for reference medicine administration of a doctor.
5. The method for predicting and analyzing the effect of adjuvant drug according to claim 4, wherein: the database established in step 2 is associated with the time of onset.
6. The method for predicting and analyzing the effect of adjuvant drug according to claim 4, wherein: and 5, playing the content of the data packet through a player while outputting the Chinese medicinal effect prediction, and displaying the content of the data packet through a display screen.
7. The method for predicting and analyzing the effect of adjuvant drug according to claim 4, wherein: the step 2 also comprises a rationality evaluation module which is used for giving recommendation suggestions in combination with the medicine use instruction and evidence of evidence-based medicine, and the dosage is more reasonable.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003308392A (en) * | 2002-04-16 | 2003-10-31 | Sanyo Electric Co Ltd | Device and method for associating medicine with disease name |
| CN112102962A (en) * | 2020-09-10 | 2020-12-18 | 兰州市第二人民医院 | Method and system for clinical intervention and effect prognosis data analysis of adjuvant medication |
| WO2021073277A1 (en) * | 2019-10-16 | 2021-04-22 | 平安科技（深圳）有限公司 | Personalized precise medication recommendation method and apparatus |
| CN112700838A (en) * | 2020-12-30 | 2021-04-23 | 平安科技（深圳）有限公司 | Big data-based medication scheme recommendation method and device and related equipment |
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- 2021-06-29 CN CN202110730801.3A patent/CN113539411A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003308392A (en) * | 2002-04-16 | 2003-10-31 | Sanyo Electric Co Ltd | Device and method for associating medicine with disease name |
| WO2021073277A1 (en) * | 2019-10-16 | 2021-04-22 | 平安科技（深圳）有限公司 | Personalized precise medication recommendation method and apparatus |
| CN112102962A (en) * | 2020-09-10 | 2020-12-18 | 兰州市第二人民医院 | Method and system for clinical intervention and effect prognosis data analysis of adjuvant medication |
| CN112700838A (en) * | 2020-12-30 | 2021-04-23 | 平安科技（深圳）有限公司 | Big data-based medication scheme recommendation method and device and related equipment |
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