CN115295158A - Painless gastrointestinal endoscope preoperative visit system based on Marantalpidi and assessment method - Google Patents

Painless gastrointestinal endoscope preoperative visit system based on Marantalpidi and assessment method Download PDF

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CN115295158A
CN115295158A CN202210964148.1A CN202210964148A CN115295158A CN 115295158 A CN115295158 A CN 115295158A CN 202210964148 A CN202210964148 A CN 202210964148A CN 115295158 A CN115295158 A CN 115295158A
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熊利泽
贾东兴
闵苏
张加强
谢克亮
马京
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Hangzhou Zhihuiyuan Medical Technology Co ltd
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Abstract

The invention belongs to the technical field of medical technology, and particularly relates to a painless gastrointestinal endoscope preoperative visit system and an assessment method based on Marangpa pedicel, which comprises a cloud storage service, wherein the cloud storage service is respectively connected with a user side, a doctor side and a Marek's grading system, and the user side comprises a user information acquisition module, a mouth opening degree testing module, a function assessment module and an intelligent decision-making module; the doctor end comprises a user information display module, a user data modification module and a basic function setting module; the Malus grading system comprises a reading module and a Malayaki grading deep learning module, user information can be collected on line before an operation by the Malayaki grading system, the Malayaki grading deep learning system comprises images, general information and medical history, preoperative assessment is carried out on the condition of a patient, whether the patient needs to see a doctor before and then operates or can directly operate is preliminarily judged, medical resources are saved, and information is integrated by a help doctor, and the help doctor plays a role in guiding and prompting.

Description

Painless gastrointestinal endoscope preoperative visit system based on Malampania pedicel and assessment method
Technical Field
The invention relates to the technical field of medicine, in particular to a painless gastrointestinal endoscope preoperative visit system based on marampatty and an evaluation method.
Background
Difficult intubation, which occurs at about 6% of the cases of general anesthesia, is very life-threatening, and an analysis from the american society for anesthesia indicates that difficult intubation accounts for 17% of abnormal respiratory events, 85% of which cause brain damage and death, and the higher the difficulty, the greater the risk of brain damage or death, and therefore, pre-operative pre-anesthesia airway assessment is crucial.
The preoperative airway assessment can identify the difficult airway early and reduce the incidence rate of unexpected difficult airways, and is also a premise of correctly treating the difficult airway and making full preparation, and some risk factors of the difficult airway can be obtained by observing the appearance of a patient, such as congenital cranio-maxillofacial deformity, oral cavity maxillofacial deformity or defect caused by trauma, infection and tumor, small mouth deformity and mental-chest adhesion caused by scar adhesion after burn, abnormal anatomical structure near the airway caused by operation or radiotherapy, temporomandibular joint rigidity, obesity, short neck, small mandible, high larynx, huge tongue and the like. And recommending a multi-mode assessment method for risk assessment of the airway and trachea cannula.
The contribution shows how to apply the convolutional neural network to the evaluation of clinically difficult airways in the form of mobile application programs, helps and guides doctors to make objective airway evaluation on patients, enables the doctors to make corresponding preparation before establishing artificial airways, and improves the success rate of intubation.
Disclosure of Invention
The invention aims to provide a Malayaki-based preoperative visit system and an assessment method for painless gastrointestinal endoscopy, and doctors can be prompted about the Malachi classification condition of patients through the assessment system, so that the problem of tedious handling procedures is solved.
The purpose of the invention is realized as follows: a painless gastrointestinal endoscope preoperative visit system based on Marangpa pedicel comprises a cloud storage service, wherein the cloud storage service is respectively connected with a user terminal, a doctor terminal and a Marek's grading system,
the user side comprises a user information acquisition module, a mouth-opening degree testing module, a function evaluation module and an intelligent decision module;
the doctor end comprises a user information display module, a user data modification module and a basic function setting module;
the Maltese grading system comprises a reading module and a Malandpa grading deep learning module.
Preferably, the user information acquisition module comprises a general condition unit, a symptom unit, a disease combination unit, an examination item unit, a heart and lung function evaluation unit and a mouth opening degree test unit.
Preferably, the general case units include personal data, personal history, birth history, surgical anesthesia history, allergy history, medication history, family history; the symptom unit comprises a respiratory system, a cardiovascular system and a digestive system.
Preferably, the mouth opening degree testing module comprises a photographing interface unit, a picture uploading unit and an intelligent photographing prompting unit.
Preferably, the function evaluation module comprises an evaluation result unit, a notice interface, an informed consent interface and an appointment unit.
An evaluation method, comprising:
firstly, entering a login interface, inputting an account number password to login a system, wherein the account number is a mobile phone number, and registering the account number by using the mobile phone number in the first login;
after logging in, entering a main interface of the system, clicking personal information, filling personal data, clicking saved data, uploading the saved data to a server, and then jumping to enter a user information acquisition module;
the user information acquisition module comprises a general condition unit, a symptom unit, a disease combination unit, a heart and lung function evaluation unit and an opening degree test unit, and after the five items are filled in, an evaluation result is popped up and an evaluation result interface is automatically jumped to by clicking an evaluation completion button;
after entering the evaluation result interface, the following information will be displayed: the mobile phone number, the name, the evaluation result, the completion time, the effective time, the operation appointment time and the appointment time of the interviewer are used for clicking the downloaded evaluation report, clicking the preview report after the downloading is completed, checking various data including the Markov classification result and the evaluation result, and clicking the appointment to enter a notice interface;
entering a notice item interface and an informed consent interface, clicking a read and consent button to activate to enter the next step after confirming that no mistakes are made, returning to an evaluation result interface after completing two consent books, popping up a time selector, selecting appointment time, displaying the appointment time zone of a visiting doctor after failing to evaluate, and displaying the appointment time zone of the operation doctor after evaluating.
Preferably, the mouth opening degree testing unit comprises a photographing interface unit, a picture uploading unit and an intelligent photographing prompting unit;
clicking an openness testing unit to enter a main interface, wherein an operation instruction button, a test starting button and a picture uploading button are respectively arranged in the main interface, and clicking the test starting button to enter a photographing interface unit;
a template image is arranged at the upper left corner of the interface and can be clicked and amplified for checking, a hollow area in the middle of the interface is a sampling core area, and shooting is carried out aiming at the center position of a target;
an intelligent shooting prompting unit is arranged on the upper side of the interface, and when the distance between the target and the lens is too large or too small or the distance between the target and the lens is proper, corresponding prompting sentences can be generated;
clicking a flash-shaped key switch flash lamp at the lower right corner of the interface, clicking a circular key below the interface to confirm shooting, clicking the right side of the interface to store an image and returning to an opening degree test interface to upload the image, and uploading the image to a cloud for data analysis.
Preferably, the system further comprises a Malabar grading system, wherein the Malabar grading system acquires data from the cloud end, predicts the data which is not predicted by the cloud end and returns the data to the cloud end.
Preferably, the doctor end has the function of displaying the latest user information and secondarily confirming the modified Marangpa-Petty grading level.
Preferably, the personal data content comprises a mobile phone number, a name, a sex, an age, an occupation, a study calendar, a nation, a height, a weight, a BMI, and whether family accompanies; the general condition unit comprises personal data, personal history, birth history, operation anesthesia history, allergy history, medication history and family history, wherein the birth history is not displayed when the gender of the personal data is filled in the male, and the birth history is displayed when the gender of the personal data is filled in the female.
Compared with the prior art, the invention has the outstanding and beneficial technical effects that:
this system can gather user information on line before the operation, including image, general information and medical history, carry out the aassessment before the art to patient's condition, whether preliminary judgement patient need see earlier the doctor after and carry out the operation, still can directly carry out the operation, has saved medical resource to help doctor integration information, supplementary doctor plays the guide suggestion effect.
Drawings
FIG. 1 is a block diagram of the system architecture of the present invention.
Fig. 2 is a block diagram of the system structure of the present invention.
Fig. 3 is a diagram of the network architecture of the present invention.
Fig. 4 is a flowchart of the client process.
Fig. 5 is a flow chart of the maranphati grading system routine.
FIG. 6 is a schematic view of a login interface.
FIG. 7 is a schematic view of a registration interface.
FIG. 8 is a schematic diagram of the main interface of the present system.
Fig. 9 is a first diagram illustrating personal information.
Fig. 10 is a schematic diagram of personal information.
Fig. 11 is a third schematic diagram of personal information.
FIG. 12 is a schematic view of a user information collection interface.
FIG. 13 is a general case interface schematic.
FIG. 14 is a schematic view of a personal history interface.
FIG. 15 is a schematic representation of a fertility history interface.
Fig. 16 is a schematic diagram of a surgical anesthesia history interface i.
FIG. 17 is a schematic view of an interface of surgical anesthesia history
FIG. 18 is a schematic diagram of allergy Smith interface I.
FIG. 19 is a second allergy Smith diagram.
FIG. 20 is a schematic view of a medication history interface.
FIG. 21 is a schematic representation of a family history interface.
FIG. 22 is a first symptom interface.
Fig. 23 is a second symptom interface.
FIG. 24 is a first disease combination interface.
FIG. 25 is a second schematic view of the disease combination interface.
Fig. 26 is a schematic diagram of a cardiopulmonary function assessment interface.
Fig. 27 is a schematic view of a main interface of the openness test.
Fig. 28 is a schematic view of a main interface of the mouth opening degree test.
FIG. 29 is a first diagram of a photographing interface.
FIG. 30 is a second drawing of a photo interface.
Fig. 31 is a first evaluation result interface.
Fig. 32 is a second evaluation result interface.
FIG. 33 is a notice interface schematic.
Fig. 34 is a schematic diagram of an informed consent interface.
Fig. 35 is a schematic diagram of the time when the reservation time is selected on the evaluation result interface.
Fig. 36 is a list diagram showing user information at the doctor end.
FIG. 37 is a first interface diagram showing the user details at the doctor end.
FIG. 38 is a second view of the physician-side interface displaying the user details.
FIG. 39 is a report preview interface diagram.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
A painless gastrointestinal endoscope preoperative visit system based on Marandpa pedicel comprises a cloud storage service, wherein the cloud storage service is respectively connected with a user side, a doctor side and a March grading system,
the user side comprises a user information acquisition module, a mouth-opening degree testing module, a function evaluation module and an intelligent decision module;
the doctor end comprises a user information display module, a user data modification module and a basic function setting module;
the Maltese grading system comprises a reading module and a Malandpa grading deep learning module.
The intelligent preoperative visit system mainly comprises a user side, a doctor side and a cloud side system, wherein the user side is mainly used for collecting basic information and a Marangpa base image of a user and uploading the data to a cloud side oss, a doctor side mainly displays latest data and carries out grading judgment and information return, and the Marangpa base grading system is a cloud side monitoring program and carries out prediction on the latest uploaded image in a Marangpa base grading mode.
The user information acquisition module comprises a general condition unit, a symptom unit, a disease combination unit, an examination item unit, a heart and lung function evaluation unit and a mouth opening degree test unit.
The general condition units comprise personal data, personal history, birth history, operation anesthesia history, allergy history, medication history and family history; the symptom unit comprises a respiratory system, a cardiovascular system and a digestive system.
The mouth opening degree testing module comprises a photographing interface unit, a picture uploading unit and an intelligent photographing prompting unit.
The function evaluation module comprises an evaluation result unit, a notice interface, an informed consent interface and a reservation unit.
A method of evaluation, the method comprising:
as shown in fig. 6-7, firstly, enter a login interface, input an account number password to log in the system, where the account number is a mobile phone number, and login is performed for the first time, and the account number needs to be registered by using the mobile phone number;
specifically referring to fig. 8-11, after logging in, entering a main page of the system, arranging a simple information block above the main page, wherein contents in the simple information block comprise a head portrait, a name and a mobile phone number, clicking the head portrait to enter a personal information read-only interface, selecting an exit account number in the interface, clicking personal information to enter and filling personal information, wherein the personal information contents comprise the mobile phone number, the name, the sex, the age, the occupation, the academic calendar, the nationality, the height, the weight and the BMI, and whether family accompanies exist, and BMI information is generated through automatic calculation, so that for the prior art, after the personal information is filled, clicking stored data and uploading the data to a server, and then jumping to a user information acquisition module;
specifically referring to fig. 12, the user information acquisition module comprises a general condition unit, a symptom unit, a disease combination unit, a cardiopulmonary function evaluation unit and a mouth opening degree test unit, and after the five items are filled, an evaluation result can be popped up and an evaluation result interface can be automatically skipped by clicking an evaluation completion button;
after entering the evaluation result query interface, the following information will be displayed: the method comprises the steps that mobile phone numbers, names, evaluation results, completion time, effective time, operation appointment time and appointment time of a visiting doctor are used, an evaluation report is downloaded by clicking, a preview report is clicked after downloading is completed, an evaluation report preview interface is entered, double-finger clicking sliding is carried out for zooming, the report is exported and generated according to data acquired by information, various data including Markov classification results and evaluation results can be checked, and appointment entering note interface is clicked;
as shown in fig. 33-35, enter the notice interface and the informed consent interface, after confirming no error, click the read and consent button to activate the next step, after completing two consent, return to the assessment result interface, pop up the time selector, select the appointment time, fail to assess, will be displayed in the appointment time zone of the attending doctor, through assessing, will be displayed in the operation appointment time zone.
Before an operation, the invention can perform preoperative evaluation on the condition of the patient by acquiring user information including images, general information and medical history on line, can preliminarily judge whether the patient needs to meet the doctor before and then performs the operation or can perform the operation directly, saves medical resources, helps doctors integrate information, and assists the doctors to play a role in guiding and prompting.
As shown in fig. 27 and 28, the opening degree testing unit includes a photographing interface unit, a picture uploading unit, and an intelligent photographing prompting unit;
as shown in fig. 29-30, the openness testing unit is clicked to enter the main interface, the operation instruction, the test starting and the picture uploading buttons are respectively arranged in the main interface, and the test starting is clicked to enter the photographing interface unit;
a template image is arranged at the upper left corner of the interface and can be clicked and amplified for checking, a hollow area in the middle of the interface is a sampling core area, and shooting is carried out aiming at the center position of a target;
the intelligent shooting prompting unit is arranged on the upper side of the interface, when the distance between the target and the lens is too large, the intelligent shooting prompting unit can prompt that the text is too far away and please a little bit ahead, when the distance between the target and the lens is too small, the intelligent shooting prompting unit can prompt that the text is too close and please a little bit behind, and when the clutch is in good time, the intelligent shooting prompting unit can prompt that the text please keep shooting at the current distance.
Clicking a lightning-shaped key switch flash lamp at the lower right corner of the interface, clicking a round key below the interface to confirm shooting, clicking the right side of the interface to store an image by a hook and returning to an opening degree test interface to upload the image, and uploading the image to a cloud for data analysis.
The medical terminal also comprises a doctor terminal, wherein the doctor terminal is internally provided with functions of displaying the recent user information and secondarily confirming and modifying the Marangpa-base grading level, and the buttons are operated to inquire, set the basic function, modify cloud data and the like.
As shown in fig. 36-38, entering the intelligent information collecting interface and displaying the latest user information, the first column is a navigation bar, and the second column is a function bar, which is the current page information, the detailed data key, the refresh key, and the query key, respectively. And clicking the detailed data after selecting the data below, and jumping to enter a detailed data interface. And clicking to refresh and update the current page data. And inputting a name to be queried in the search box, and clicking a query key to query. And clicking a page number to jump by using a lower page navigation bar, and inputting an input box to jump. And the whole current page is right-scribed into the next page. Personal information > personal history > birth history > surgical anesthesia history > allergy history > medication history > family history > symptoms > comorbidities > cardiopulmonary function assessment > mouth opening test.
And entering a detailed data interface, wherein the left side is provided with an option key, refreshing a page, displaying, checking and skipping an evaluation key to enter an evaluation target interface, and a doctor can modify the interface for the second time according to the user data and click a pull-down box on the right side to select whether to meet the doctor.
As shown in fig. 13-26, the general case units include personal data, personal history, birth history, surgical anesthesia history, allergy history, medication history, family history, voice can be broadcasted by clicking the upper right corner of each tab, data can be saved and uploaded to the server by clicking, and then the upper menu is returned,
as shown in fig. 16-17, the surgical anesthesia history interface is entered, the wire frame is clicked to select, voice can be broadcasted by clicking the upper right corner of each tab, data is clicked to be stored and uploaded to the server, then the server returns to the upper menu, if the column of ' whether the operation is performed in the past ' is clicked, the column is ' expand the second menu ' and please select the operation part ', and if the gender in the personal information is male, the column does not display ' gynecological operation ' and ' obstetrical operation ', and if the gender is female, the column displays ' gynecological operation ', and the abdomen operation is clicked to be further expanded.
When the sex is male, the birth history is not displayed, and when the sex is female, the birth history is displayed.
The system also comprises a Marangpa-pedicel grading system, wherein the Marangpa-pedicel grading system acquires data from the cloud, predicts unpredicted data of the cloud and returns the data to the cloud.
The JAVA service is a database management interface based on tomcat and jdbc framework design. The user side and the doctor side access the server to perform database query, addition, deletion and modification operations and simultaneously perform preliminary judgment on user data. And after the new user completes the preoperative evaluation, the service is distributed to remind the corresponding doctor end user.
The Malandpatii classification system is a cloud image data monitoring program deployed at a server side. And the images uploaded by the users are stored in the cloud through Ali cloud oss. The system predicts the image uploaded by the cloud in real time and writes the predicted data into the database. When the user reads the evaluation report, the Mayer classification data is queried.
The cloud data is read by using an oss storage service interface of the Aliyun to access the cloud data. The Aliskian object storage service, called OSS for short, is a massive, safe, low-cost and high-reliability cloud storage service provided by Aliskian to the outside, can upload and download data at any time and any place through a simple REST interface and on any Internet equipment, and can build various services based on large-scale data, such as multimedia sharing websites, network disks, personal and enterprise data backup and the like based on OSS.
Secondly, forecasting is carried out by using a Maranta Patty hierarchical deep learning four-classification model, a large number of Maranta Patty hierarchical sample data sets are used for training, a yolo target recognition network trained under a darknet framework is used as a pre-training network, and judgment and framing of the existence of a specific target and specific stages are carried out. Due to the fact that the mobile phone software further limits the image, parameters of the anchors pre-selection frame are adjusted manually on the basis of the yolov4 model, and operation efficiency is improved. Meanwhile, the input scale is adjusted and fixed, and the recognition speed in the current environment is further improved.
In a json document uploaded for the first time by a user side, the paths of user information and images in the cloud side are recorded, and whether reading, modification and prediction are carried out by setting zeros. The monitoring program can read the newly uploaded document in real time and judge whether to predict or not. And after the data needing prediction is predicted, changing the predicted value, and juxtaposing whether the prediction is carried out or not. Meanwhile, the monitoring program can also change the push information of the doctor end.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. A painless gastrointestinal endoscope preoperative visit system based on Marandpa pedicel is characterized by comprising a cloud storage service, wherein the cloud storage service is respectively connected with a user side, a doctor side and a March grading system,
the user side comprises a user information acquisition module, a mouth-opening degree testing module, a function evaluation module and an intelligent decision module;
the doctor end comprises a user information display module, a user data modification module and a basic function setting module;
the March classification system comprises a reading module and a Marangpa-Petty classification deep learning module.
2. The maranpetti-based painless gastrointestinal endoscopy preoperative access system of claim 1, wherein: the user information acquisition module comprises a general condition unit, a symptom unit, a disease combination unit, an examination item unit, a heart and lung function evaluation unit and a mouth opening degree test unit.
3. The marampatty-based painless gastroenterological pre-operative visit system of claim 2, wherein: the general condition unit comprises personal data, personal history, birth history, operation anesthesia history, allergy history, medication history and family history; the symptom unit comprises a respiratory system, a cardiovascular system and a digestive system.
4. The maranpetti-based painless gastrointestinal endoscopy preoperative access system of claim 1, wherein: the mouth opening degree testing module comprises a photographing interface unit, a picture uploading unit and an intelligent photographing prompting unit.
5. The marampatty-based painless gastroenterological pre-operative visit system of claim 1, wherein: the function evaluation module comprises an evaluation result unit, a notice interface, an informed consent interface and a reservation unit.
6. An evaluation method, the method comprising:
firstly, entering a login interface, inputting an account password to login a system, wherein the account is a mobile phone number, and registering the account by using the mobile phone number for the first login;
after logging in, entering a main interface of the system, clicking personal information, filling personal data, clicking saved data, uploading the data to a server, and then jumping to enter a user information acquisition module;
the user information acquisition module comprises a general condition unit, a symptom unit, a disease combination unit, a heart and lung function evaluation unit and an opening degree test unit, and after the five items are filled in, an evaluation result is popped up and an evaluation result interface is automatically jumped to by clicking an evaluation completion button;
after entering the evaluation result interface, the following information will be displayed: the mobile phone number, the name, the evaluation result, the completion time, the effective time, the operation appointment time and the appointment time of the interviewer are used for clicking the download evaluation report, clicking the preview report after the download is completed, checking various data including the Markov classification result and the evaluation result, and clicking the appointment to enter a notice interface;
entering a notice item interface and an informed consent interface, clicking a read and consent button to activate to enter the next step after confirming that no mistakes are made, returning to an evaluation result interface after completing two consent books, popping up a time selector, selecting appointment time, displaying the appointment time zone of a visiting doctor after failing to evaluate, and displaying the appointment time zone of the operation doctor after evaluating.
7. The evaluation method according to claim 6, wherein: the mouth opening degree testing unit comprises a photographing interface unit, a picture uploading unit and an intelligent photographing prompting unit;
clicking the openness testing unit to enter a main interface, wherein an operation instruction button, a test starting button and a picture uploading button are respectively arranged in the main interface, and clicking the test starting button to enter a photographing interface unit;
a template image is arranged at the upper left corner of the interface and can be clicked and amplified for viewing, and a hollow area in the middle of the interface is a sampling core area and is shot aiming at the center of a target;
an intelligent shooting prompting unit is arranged on the upper side of the interface, and when the distance between the target and the lens is too large or too small or the distance between the target and the lens is proper, corresponding prompting sentences can be generated;
clicking a lightning-shaped key switch flash lamp at the lower right corner of the interface, clicking a round key below the interface to confirm shooting, clicking the right side of the interface to store an image by a hook and returning to an opening degree test interface to upload the image, and uploading the image to a cloud for data analysis.
8. The evaluation method according to claim 7, wherein: the system also comprises a Marangpa-pedicel grading system, wherein the Marangpa-pedicel grading system acquires data from the cloud, predicts unpredicted data of the cloud and returns the data to the cloud.
9. The evaluation method according to claim 6, wherein: the medical staff is also provided with a doctor end, and the doctor end has the function of displaying the recent user information and secondarily confirming the modified Marangpa-base grading level.
10. The evaluation method according to claim 6, wherein: the personal data content comprises a mobile phone number, a name, a sex, an age, an occupation, a study calendar, a nation, a height, a weight and a BMI, and whether family accompanies exist or not; the general condition unit comprises personal data, personal history, birth history, operation anesthesia history, allergy history, medication history and family history, wherein the birth history is not displayed when the gender of the personal data is filled in the male, and the birth history is displayed when the gender of the personal data is filled in the female.
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Citations (4)

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CN108305673A (en) * 2017-12-28 2018-07-20 合肥长天信息技术有限公司 A kind of medical treatment guidance system
CN110033869A (en) * 2019-02-27 2019-07-19 深圳市赛亿科技开发有限公司 A kind of remote diagnosis method, system and terminal
CN110070937A (en) * 2019-02-27 2019-07-30 深圳市赛亿科技开发有限公司 A kind of long-range first visit platform and long-range first visit implementation method
CN112071413A (en) * 2020-09-15 2020-12-11 杭州市第一人民医院 Painless gastrointestinal endoscope calling system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108305673A (en) * 2017-12-28 2018-07-20 合肥长天信息技术有限公司 A kind of medical treatment guidance system
CN110033869A (en) * 2019-02-27 2019-07-19 深圳市赛亿科技开发有限公司 A kind of remote diagnosis method, system and terminal
CN110070937A (en) * 2019-02-27 2019-07-30 深圳市赛亿科技开发有限公司 A kind of long-range first visit platform and long-range first visit implementation method
CN112071413A (en) * 2020-09-15 2020-12-11 杭州市第一人民医院 Painless gastrointestinal endoscope calling system

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