CN111081341A - Method and system for checking prescription medicines in bags - Google Patents
Method and system for checking prescription medicines in bags Download PDFInfo
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- CN111081341A CN111081341A CN201911321851.5A CN201911321851A CN111081341A CN 111081341 A CN111081341 A CN 111081341A CN 201911321851 A CN201911321851 A CN 201911321851A CN 111081341 A CN111081341 A CN 111081341A
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/22—Character recognition characterised by the type of writing
- G06V30/224—Character recognition characterised by the type of writing of printed characters having additional code marks or containing code marks
- G06V30/2247—Characters composed of bars, e.g. CMC-7
Abstract
The invention discloses a bag prescription drug checking method and a system, wherein the checking method comprises the steps of storing a prescription in a system database; identifying the sealed edges at the two ends of the medicine bag, and taking a picture of the medicine bag to be checked; identifying the serial number of the medicine bag for linking the information of the medicine in the prescription; extracting characteristic quantity of the medicine; and comparing the characteristic quantity with the check standard, and if the characteristic quantity is consistent with the check standard or within the deviation allowable range, passing the comparison. The checking system comprises a prescription database module, a medicine specimen library module, a medicine bag number identification module, a medicine bag image acquisition module, a characteristic quantity checking module and an early warning module. According to the invention, the two industrial CCD cameras are used for collecting and extracting the characteristic quantity of the checking medicine and comparing the characteristic quantity of the sample medicine, the characteristic quantity is more compared, and the checking accuracy of the medicine is improved, so that the checking speed of the medicine with the prescription in bags is greatly improved, and the workload of medical staff is reduced.
Description
Technical Field
The invention relates to the technical field of medicine checking, in particular to a method and a system for checking prescription medicines in bags.
Background
In the modern medical process, particularly in hospital institutions, the main doctors perform physical therapy and oral drug treatment according to different disease conditions of patients, general doctors can make prescription lists of oral drugs in advance, prescription information and prescription numbers automatically generated by the system can be transmitted to hospital pharmacies in real time, pharmacy medical staff dispense medicines according to the drugs on the prescription lists, then the medicines arrive at a nurse station and finally are sent to corresponding patients, and the practice is common in business.
Because the hospital is the patient of every day more, in order to prevent that the patient from taking more or taking less or the medicine is orally taken wrong, some hospitals pack the medicine that needs to be orally taken for each meal of patient with the medicine packaging machine and then give the patient, and every bag is a meal, makes things convenient for the patient to orally take. However, since the medicine packing machine may have a plurality of bags or a few bags when packing medicines, the medical staff in the hospital pharmacy still needs to check the medicine bag string of the medicine packing machine, which is time-consuming and labor-consuming.
Disclosure of Invention
The invention aims to provide a method and a system for checking bagged prescription medicines, which can ensure the correct matching and selection of the prescription medicines.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method for checking prescription drugs in bags, comprising the steps of:
the method comprises the following steps: storing the prescription in a system database, and storing the prescription medicine photo in the system as a check standard;
step two: identifying the sealed edges at the two ends of the medicine bag, determining the medicine bag to be checked, and taking a picture of the medicine bag;
step three: identifying the serial number of the medicine bag for linking the information of the medicine in the prescription;
extracting the characteristic quantity of the medicine, and extracting the characteristic quantity of the medicine from the image of the medicine obtained by photographing;
comparing the characteristic quantity with the characteristic quantity standard of the corresponding medicine stored in the system, and analyzing according to a certain algorithm;
step six, if the characteristic quantity is consistent with the check standard or the deviation is within the range allowed by the algorithm, the verification is passed; if the characteristic quantity is not consistent with the check standard or the deviation is outside the periphery allowed by the algorithm, the medicine bag number and the medicine bag image are filed in the system for early warning and prompting.
Further, the extracted feature quantity of the medicine specifically includes the following features:
extracting the surface characteristic quantity of the medicine, checking the surface characteristic quantity with the surface of the prescription medicine, and judging whether the surface characteristic quantity is consistent with the surface of the prescription medicine;
extracting contour characteristic quantity of the medicine, checking the contour characteristic quantity with the contour of the prescription medicine, and judging whether the contour characteristic quantity is consistent with the contour of the prescription medicine;
extracting characteristic quantity of distance from the farthest edge to the center of the medicine, checking the characteristic quantity with the distance from the farthest edge to the center of the prescription medicine, and judging whether the characteristic quantity is consistent with the distance from the farthest edge to the center of the prescription medicine;
extracting the roundness characteristic quantity of the medicine, checking the roundness characteristic quantity with the roundness of the prescription medicine, and judging whether the roundness characteristic quantity is consistent with the roundness of the prescription medicine;
extracting length characteristic quantity of the medicine, checking the length characteristic quantity with the length of the prescription medicine, and judging whether the length characteristic quantity is consistent with the length of the prescription medicine;
and extracting the width characteristic quantity of the medicine, checking the width characteristic quantity with the width of the prescription medicine, and judging whether the width characteristic quantity is consistent with the width of the prescription medicine.
Further, the method comprises the following steps: the extracted characteristic quantity of the medicine specifically comprises the following characteristics:
extracting the values of the three primary colors of red, green and blue of the medicine, checking the extracted values with the values of the three primary colors of the prescription medicine, and judging whether the extracted values are consistent;
extracting the color deviation values of the three primary colors of red, green and blue of the medicine, checking the extracted color deviation values with the color deviation values of the three primary colors of the prescription medicine, and judging whether the extracted color deviation values are consistent.
Further, the method comprises the following steps: extracting the size of particles in the medicine, checking the size with the prescription medicine, and judging whether the sizes are consistent.
A system for checking prescription drugs in bags, comprising:
the prescription database module is used for storing the information of the prescription number to be checked by the checking system;
the medicine specimen library module is used for storing medicine characteristic quantity information;
the medicine bag number identification module identifies the two-dimensional code information of the medicine bag by a radio frequency identification technology and checks the two-dimensional code information with the prescription database module;
the medicine bag image acquisition module acquires a medicine bag image to be checked;
the characteristic quantity checking module is used for checking the characteristic quantity of the medicine in the medicine bag image with the characteristic quantity of the medicine in the medicine specimen library module; performing algorithm analysis, and if the characteristic quantity of the corresponding medicine is consistent with or has deviation within the range allowed by the algorithm, passing the algorithm; if the characteristic quantity of the corresponding medicine is inconsistent or the deviation is out of the allowable range of the algorithm, the medicine does not pass;
further, the method comprises the following steps: also comprises
The early warning module stores and displays the medicine bag images which do not pass after the characteristic quantity checking module is checked for manual checking; after the early warning module stores the medicine bag image, the system checks the next prescription number.
Further, the method comprises the following steps: the medicine bag image acquisition module comprises a near infrared industrial camera and a three primary colors industrial camera.
The invention has the beneficial effects that: the invention identifies the bar code on the medicine bag by an infrared identification technology, compares the identified information with the information in the prescription database module, and improves the medicine checking accuracy; the surface, contour, roundness, distance to the center, length, width, red, blue and green tristimulus values and the characteristic quantity of incomplete medicines (one-half and one-third) are collected and checked with the characteristic quantity of sample medicines by combining a near-infrared CCD camera and a three-primary-color CCD camera, so that the medicine checking accuracy is improved; the early warning module separates and files the medicine bag images checked by the checking system to be in problem for manual checking, and the medicine bag images checked by the checking system to be in no problem can also be filed for subsequent reference. The medicine bags packed by the medicine packing machine are checked through the checking system, the medicine checking speed is greatly increased, and the workload of medical staff is reduced.
Drawings
FIG. 1 is a flow chart of a method for checking a prescription drug contained in a bag according to the present invention;
FIG. 2 is a schematic diagram of a bagged prescription drug checking system according to the present invention;
Detailed Description
The invention is further described with reference to the following figures and detailed description.
As shown in fig. 1, the method for checking prescription drugs in bags of the present embodiment includes the following steps:
the method comprises the following steps: storing the prescription in a system database, and storing the prescription medicine photo in the system as a check standard; after the medicine packaging machine finishes packaging the medicines, the prescription information is pushed to a checking system database, and the prescription information comprises a medicine bag number, medicine types and the number; for example, the batch requires 1 omeprazole and 2 aspirin per sachet.
Step two: identifying the sealed edges at the two ends of the medicine bag, determining the medicine bag to be checked, and taking a picture of the medicine bag; the medicine bags are wrapped by the medicine wrapping machine before passing through the checking system to form a medicine bag string, the two ends of each medicine bag are provided with sealing edges, and the medicine bags to be checked can be identified through the sealing edges to take pictures after being transmitted to the checking system. The two industrial CCD cameras are used for shooting the medicine bag image, the near-infrared industrial camera shoots one medicine bag image for characteristic processing, and the three-primary-color industrial camera shoots one medicine bag image for color characteristic processing.
Step three: identifying the serial number of the medicine bag for linking the information of the medicine in the prescription; for example, after identifying the bar code number of the medicine bag, the medicine bag should be packed with 1 omeprazole and 2 aspirin, and compared with the prescription of the medicine bag number in the database, the medicine bag is also packed with 1 omeprazole and 2 aspirin, and the two are consistent, and then the next check is carried out.
Extracting the characteristic quantity of the medicine, and extracting the characteristic quantity of the medicine from the image of the medicine obtained by photographing; two industrial CCD cameras: after the near-infrared industrial camera and the three-primary-color industrial camera take pictures, the pictures of the medicines are checked to be correct by the infrared identification bar code; analyzing and extracting surface characteristic quantity, contour characteristic quantity, distance to center characteristic quantity, length characteristic quantity, width characteristic quantity and roundness characteristic quantity of the medicine in an image shot by a near-infrared industrial camera through an algorithm; the method comprises the steps that medicines in images shot by the three-primary-color industrial camera are analyzed through an algorithm according to the values of the red, green and blue colors of the medicines and the deviation values of the red, green and blue three-color values of the medicines and the corresponding standard red, green and blue three-color values.
Extracting the surface characteristic quantity of the medicine, checking the surface characteristic quantity with the surface of the prescription medicine, and judging whether the surface characteristic quantity is consistent with the surface of the prescription medicine; extracting contour characteristic quantity of the medicine, checking the contour characteristic quantity with the contour of the prescription medicine, and judging whether the contour characteristic quantity is consistent with the contour of the prescription medicine; extracting characteristic quantity of distance from the farthest edge to the center of the medicine, checking the characteristic quantity with the distance from the farthest edge to the center of the prescription medicine, and judging whether the characteristic quantity is consistent with the distance from the farthest edge to the center of the prescription medicine; extracting the roundness characteristic quantity of the medicine, checking the roundness characteristic quantity with the roundness of the prescription medicine, and judging whether the roundness characteristic quantity is consistent with the roundness of the prescription medicine; extracting length characteristic quantity of the medicine, checking the length characteristic quantity with the length of the prescription medicine, and judging whether the length characteristic quantity is consistent with the length of the prescription medicine; extracting width characteristic quantity of the medicine, checking the width characteristic quantity with the width of the prescription medicine, and judging whether the width characteristic quantity is consistent with the width of the prescription medicine; extracting the values of the three primary colors of red, green and blue of the medicine, checking the extracted values with the values of the three primary colors of the prescription medicine, and judging whether the extracted values are consistent; extracting the color deviation values of the three primary colors of red, green and blue of the medicine, checking the extracted color deviation values with the color deviation values of the three primary colors of the prescription medicine, and judging whether the extracted color deviation values are consistent; if the medicine contains incomplete granules, such as half granules or one third granules, the size of the broken granules in the medicine is extracted for checking with the prescribed medicine and judging whether the sizes are consistent.
Comparing the characteristic quantity with the characteristic quantity standard of the corresponding medicine stored in the system, and analyzing according to a certain algorithm; and (4) checking the characteristic quantities acquired in the four steps with the characteristic quantities of the medicines stored in the system in advance.
Step six, if the characteristic quantity is consistent with the check standard, the verification is passed; if the characteristic quantity is not consistent with the check standard, the medicine bag number and the medicine bag image are filed in the system for early warning and prompting. If the characteristic quantities of the medicines are checked to be consistent with the characteristic quantities of the medicines stored in the system in advance or the deviation is in the range allowed by the algorithm, the medicines in the medicine bag number are consistent with the prescription, and the medicine bag is correct; if the characteristic quantity of the medicine is checked to be inconsistent with the characteristic quantity of the medicine or the deviation is out of the range allowed by the algorithm, the medicine in the medicine bag number is inconsistent with the prescription, the medicine bag is wrong, and the medicine bag image is stored to the early warning module and displayed on a display screen for manual rechecking; if the number of a certain medicine in the checked medicine bag is inconsistent with the prescription, the medicine bag is wrong, and the medicine bag image is stored in an early warning module for system display for manual recheck.
As shown in fig. 2, the system for checking prescription drugs in bags of the present embodiment includes:
the prescription database module is used for storing the information of the prescription number to be checked by the checking system; after the medicine packaging machine finishes packaging the medicines, the prescription information is pushed to a prescription database module, and the prescription information comprises medicine bag numbers, medicine types and the number;
the medicine specimen library module is used for storing medicine characteristic quantity information; before checking the prescription number medicines in batches, the checking system uses a medicine bag with correct medicine package to identify the checking system, and stores the characteristic quantity of the medicines in the medicine specimen library module to be used as the standard characteristic quantity of the checked medicines.
The medicine bag image acquisition module acquires a medicine bag image to be checked; the medicine bag image acquisition module takes edge sealing at two ends of a medicine bag as identification triggering shooting function, the medicine bag image acquisition module comprises a near infrared industrial camera and a three-primary-color industrial camera, medicines in an image shot by the near infrared industrial camera are analyzed and extracted through an algorithm, and the surface characteristic quantity, the contour characteristic quantity, the distance to center characteristic quantity, the length characteristic quantity, the width characteristic quantity and the roundness characteristic quantity of the medicines are extracted; the method comprises the steps that medicines in images shot by the three-primary-color industrial camera are analyzed through an algorithm according to the values of the red, green and blue colors of the medicines and the deviation values of the red, green and blue three-color values of the medicines and the corresponding standard red, green and blue three-color values.
The medicine bag number identification module identifies the two-dimensional code information of the medicine bag through an infrared identification technology and checks the two-dimensional code information with the prescription database module; and checking the medicine bag number with the medicine bag number in the prescription database, if so, extracting the characteristic quantity of the medicine in the medicine bag image, and performing characteristic quantity checking by a characteristic quantity checking module.
The characteristic quantity checking module is used for checking the characteristic quantity of the medicine in the medicine bag image with the characteristic quantity of the medicine in the medicine specimen library module; performing algorithm analysis, and if the characteristic quantity of the corresponding medicine is consistent with or has deviation within the range allowed by the algorithm, passing the algorithm; if the characteristic quantity of the corresponding medicine is inconsistent or the deviation is out of the allowable range of the algorithm, the medicine is not passed.
The early warning module stores and displays the medicine bag images which do not pass after the characteristic quantity checking module is checked for manual checking; after the early warning module stores the medicine bag image, the system checks the next prescription number. When the time is checked manually, the early warning module also provides the passing and failing selections, and records the selection result in a file for later reference.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A method for checking a prescription drug in a bag, comprising: the method comprises the following steps:
the method comprises the following steps: storing the prescription in a system database, and storing the prescription medicine photo in the system as a check standard;
step two: identifying the sealed edges at the two ends of the medicine bag, determining the medicine bag to be checked, and taking a picture of the medicine bag;
step three: identifying the serial number of the medicine bag for linking the information of the medicine in the prescription;
extracting characteristic quantity of the medicine, and extracting the characteristic quantity of the medicine bag image obtained by photographing;
comparing the characteristic quantity with the characteristic quantity standard of the corresponding medicine stored in the system, and analyzing according to a certain algorithm;
step six, if the characteristic quantity is consistent with the check standard, the verification is passed; if the characteristic quantity is not consistent with the check standard, the medicine bag number and the medicine bag image are filed in the system for early warning and prompting.
2. The method of checking prescription drugs in bags according to claim 1, wherein: the extracted characteristic quantity of the medicine specifically comprises the following characteristics:
extracting the surface characteristic quantity of the medicine, checking the surface characteristic quantity with the surface of the prescription medicine, and judging whether the surface characteristic quantity is consistent with the surface of the prescription medicine;
extracting contour characteristic quantity of the medicine, checking the contour characteristic quantity with the contour of the prescription medicine, and judging whether the contour characteristic quantity is consistent with the contour of the prescription medicine;
extracting characteristic quantity of distance from the farthest edge to the center of the medicine, checking the characteristic quantity with the distance from the farthest edge to the center of the prescription medicine, and judging whether the characteristic quantity is consistent with the distance from the farthest edge to the center of the prescription medicine;
extracting the roundness characteristic quantity of the medicine, checking the roundness characteristic quantity with the roundness of the prescription medicine, and judging whether the roundness characteristic quantity is consistent with the roundness of the prescription medicine;
extracting length characteristic quantity of the medicine, checking the length characteristic quantity with the length of the prescription medicine, and judging whether the length characteristic quantity is consistent with the length of the prescription medicine;
and extracting the width characteristic quantity of the medicine, checking the width characteristic quantity with the width of the prescription medicine, and judging whether the width characteristic quantity is consistent with the width of the prescription medicine.
3. A method for collating prescription medicines in bags according to claim 1 or 2, characterized in that: the extracted characteristic quantity of the medicine specifically comprises the following characteristics:
extracting the values of the three primary colors of red, green and blue of the medicine, checking the extracted values with the values of the three primary colors of the prescription medicine, and judging whether the extracted values are consistent;
extracting the color deviation values of the three primary colors of red, green and blue of the medicine, checking the extracted color deviation values with the color deviation values of the three primary colors of the prescription medicine, and judging whether the extracted color deviation values are consistent.
4. A method for collating prescription medicines in bags according to claim 3, wherein: extracting the size of particles in the medicine, checking the size with the prescription medicine, and judging whether the sizes are consistent.
5. A system for checking prescription drugs in bags, comprising: the method comprises the following steps:
the prescription database module is used for storing the information of the prescription number to be checked by the checking system;
the medicine specimen library module is used for storing medicine characteristic quantity information;
the medicine bag number identification module identifies the two-dimensional code information of the medicine bag by a radio frequency identification technology and checks the two-dimensional code information with the prescription database module;
the medicine bag image acquisition module acquires an image of the medicine to be checked;
the characteristic quantity checking module is used for checking the characteristic quantity of the medicine in the medicine bag image with the characteristic quantity of the medicine in the medicine specimen library module; performing algorithm analysis, and if the characteristic quantity of the corresponding medicine is consistent with or has deviation within the range allowed by the algorithm, passing the algorithm; if the characteristic quantity of the corresponding medicine is inconsistent or the deviation is out of the allowable range of the algorithm, the medicine is not passed.
6. The system for checking prescription drugs in bags according to claim 5, wherein: further comprising:
the early warning module stores and displays the medicine bag images which do not pass after the characteristic quantity checking module is checked for manual checking; after the early warning module stores the medicine bag image, the system checks the next prescription number.
7. The system for checking prescription drugs in bags according to claim 5, wherein: the medicine bag image acquisition module comprises a near infrared industrial camera and a three primary colors industrial camera.
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| CN201911321851.5A CN111081341A (en) | 2019-12-20 | 2019-12-20 | Method and system for checking prescription medicines in bags |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111660298A (en) * | 2020-06-23 | 2020-09-15 | 深圳市宝安区妇幼保健院 | Special medicine checking auxiliary system and method for intelligent liquid preparation robot |
| CN111866458A (en) * | 2020-07-14 | 2020-10-30 | 深圳市瑞意博医疗设备有限公司 | Toxic and anesthetic medicine three-phase code rechecking device |
-
2019
- 2019-12-20 CN CN201911321851.5A patent/CN111081341A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111660298A (en) * | 2020-06-23 | 2020-09-15 | 深圳市宝安区妇幼保健院 | Special medicine checking auxiliary system and method for intelligent liquid preparation robot |
| CN111866458A (en) * | 2020-07-14 | 2020-10-30 | 深圳市瑞意博医疗设备有限公司 | Toxic and anesthetic medicine three-phase code rechecking device |
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