CN113571175A - Method for rapid nucleic acid detection sampling of large-scale population - Google Patents
Method for rapid nucleic acid detection sampling of large-scale population Download PDFInfo
- Publication number
- CN113571175A CN113571175A CN202110639379.0A CN202110639379A CN113571175A CN 113571175 A CN113571175 A CN 113571175A CN 202110639379 A CN202110639379 A CN 202110639379A CN 113571175 A CN113571175 A CN 113571175A
- Authority
- CN
- China
- Prior art keywords
- nucleic acid
- sampling
- acid detection
- bar code
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
- G06F16/24534—Query rewriting; Transformation
- G06F16/24539—Query rewriting; Transformation using cached or materialised query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Public Health (AREA)
- Electromagnetism (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Pathology (AREA)
- Toxicology (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention belongs to the field of detection and sampling, and particularly relates to a method for rapidly detecting and sampling nucleic acid of large-scale crowds. The whole sampling process does not need information system butt joint and interaction, so that the sampling work can be quickly completed, and the detection efficiency is greatly improved.
Description
Technical Field
The invention belongs to the field of detection sampling, and particularly relates to a method for rapidly detecting and sampling nucleic acid for large-scale people.
Background
The current nucleic acid detection procedures are generally as follows: the method comprises the following steps: 1. after the resident user arrives at the hospital nucleic acid detection outpatient service or registers at any other outpatient service and the doctor describes the requirements, the doctor makes a nucleic acid detection list; 2. the user pays at a toll place and then goes to a designated position of a test department to perform nucleic acid detection sampling; 3. during sampling, a user displays the patient card number of the patient in a hospital, a doctor inputs user information into a hospital laboratory information management system (LIS) in a mode of scanning the patient card number bar code by a code scanning gun or manually inputting, and the hospital information system automatically generates the unique bar code of the sampling and prints a sampling code and a receipt bar code. The doctor carries out nucleic acid detection sampling on the visiting user, attaches a sampling code to a sampling test tube, and provides a receipt single code for the user; 4. when a hospital detects a collected sampling test tube, a code scanning gun is used for scanning a sampling code on the test tube, and an LIS system inquires corresponding user information according to the sampling code stored in a hospital information system and outputs a detection report for a corresponding user; 5. and the user inquires and prints a detection report on the hospital self-service machine according to the receipt single bar code.
The detection mode and the service flow can normally operate under the condition of small service volume at ordinary times, but have more problems under the conditions that nucleic acid detection of large-scale crowds needs to be carried out during a new crown epidemic situation and whole member nucleic acid detection is carried out according to requirements. Such as: the detection efficiency of the user for seeing a doctor is low; the hospital information system is cumbersome to dock; the sampling preparation work is tedious and the efficiency is low.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method for rapidly detecting and sampling nucleic acid for large-scale crowds, which registers user information by means of an internet hospital platform, pays online, records a sampling code corresponding to a user by the internet hospital platform, and opens a user information query interface for a hospital information system to query, so as to realize the correspondence between the sampling code and the user information and output a report.
In order to achieve the technical purpose, the technical scheme of the invention is as follows:
a method for rapid nucleic acid detection sampling of large-scale population comprises the following steps:
step 1, printing a bar code in advance in a hospital LIS system supporting nucleic acid detection, and attaching the bar code to a nucleic acid detection sampling test tube;
step 2, setting nucleic acid detection sampling points, and carrying the check counting detection sampling test tubes with the attached bar codes to a specified place by medical institutions or detection institution workers to carry out sampling work;
step 3, the user opens the mobile phone, registers user information on an internet hospital platform, and fills in an epidemiology questionnaire according to the disease control requirement;
step 4, reserving the nucleic acid detection diagnosis time and paying the nucleic acid detection cost on line;
step 5, the user carries out nucleic acid detection sampling from a sampling point, and opens a nucleic acid reservation recording page to display a reservation recording;
step 6, a user reaching the appointed time enters a sampling point, clicks a nucleic acid detection appointed recording page, invokes a mobile phone camera, holds a reagent bottle attached with a sampling bar code by a doctor, and scans the bar code through the mobile phone camera to identify the content of the bar code and binds information;
and 7: the sampling point sends the collected sample to a hospital for nucleic acid detection;
and 8: after the detection result is issued, the LIS system inquires the bound user information through the bar code to realize the matching of the nucleic acid detection report information;
and step 9: the user can inquire the corresponding nucleic acid detection report according to the nucleic acid detection reservation record on the Internet hospital platform.
The bar code in the step 1 is not too long, so that the mobile phone and the code scanning gun device can be conveniently and rapidly identified, and the code is required to be unique to avoid information collision; furthermore, the bar code consists of 16-digit serial numbers of 4-digit mechanism codes, 6-digit annual days and 6-digit water serial numbers, and by the design, the bar code can support the requirement of nucleic acid detection of one million persons per day in a single mechanism or single yard area to the maximum extent, and can meet the requirement of large-scale crowd detection.
The sampling points in the step 2 can be set in a hospital or outside the hospital, and the sampling points outside the hospital are arranged in an open place.
The novel coronavirus pneumonia flow chart in the step 3 comprises the following contents: a, general items: such as name, gender, age, contact phone, current address, etc.; b, history of exposure to harmful factors, including exposure history: history of exposure within the last 14 days; c, clinical presentation: whether abnormal body temperature or other abnormal symptoms are present.
And the content of the flow schedule in the step 3 is associated with the user information.
The reservation record in the step 5 is displayed by adopting a yellow code and a green code, wherein the yellow code represents that the reservation time is not reached, and the green code represents that the reservation time is reached or passed. In the actual use process, the personnel entering the sampling point can be quickly identified and controlled according to the display of the yellow code and the green code.
The method can be used for detection sampling of outing corresponding complete detection people.
From the above description, it can be seen that the present invention has the following advantages:
according to the invention, user information is registered by means of an Internet hospital platform, online payment is carried out, the Internet hospital platform records a sampling code corresponding to a user, and a user information query interface is opened for a hospital information system to query, so that the sampling code and the user information are corresponding and a report is output; meanwhile, the user can perform report query at each user entrance of the Internet hospital, so that the problem of low nucleic acid detection sampling efficiency of large-scale people is solved. The whole sampling process is completed quickly, and personnel gathering is avoided. In the face of the requirement of outgoing sampling, sampling personnel do not need to carry related information system equipment, and a user mobile phone is used for scanning and identifying a sampling code, so that the information is rapidly input, and the sampling efficiency is greatly improved.
Detailed Description
A specific embodiment of the present invention will be described in detail with reference to examples, but the present invention is not limited to the claims.
Example 1
A method for rapid nucleic acid detection sampling of large-scale population comprises the following steps:
step 1, a bar code is printed in advance in a hospital LIS system supporting nucleic acid detection, and the bar code is attached to an individual nucleic acid detection sampling test tube; the bar code consists of 16-digit serial numbers including 4-digit mechanism codes, 6-digit year, month and day and 6-digit running serial numbers, is convenient for quick and correct identification of a mobile phone and code scanning gun equipment, has uniqueness and avoids information conflict; the maximum number of the bar code can support the requirement of nucleic acid detection of one million persons per day in a single institution or single yard area, and the requirement of large-scale population detection can be met;
step 2, setting nucleic acid detection sampling points in a hospital, and carrying the check calculation detection sampling test tubes with the attached bar codes to a specified place by medical institution or detection institution staff to carry out sampling work;
step 3, the user opens the mobile phone, registers user information on an internet hospital platform, and fills in an epidemiology questionnaire according to the disease control requirement; the epidemiological questionnaire is designed for the coronavirus pneumonia questionnaire, and has reliability, authenticity, integrity and logicality. The contents of the epidemiological questionnaire include: a, general items including name, gender, age, contact telephone, current address; b, history of exposure of harmful factors, including contact history, especially contact history within 14 days; and c, clinical manifestations, such as the presence or absence of abnormal questions or other abnormal symptoms. The content of the questionnaire can disclose the user state and is associated with the user information, so that if the nucleic acid detection structure is abnormal, a targeted measure can be quickly taken, and the effect of controlling the epidemic situation is achieved;
and 4, reserving the diagnosis time of the nucleic acid detection, and paying the cost of the nucleic acid detection on line. In order to solve the problems that the number of the nucleic acid detection personnel needing to be reserved in a short time is large, the platform of the Internet hospital generates a high concurrency scene caused by a concurrency reservation request, the instantaneous processing capacity of the platform is overlarge and the like, the following request control is carried out on the reservation of a user: s1, the report is effective within 14 days based on the nucleic acid detection, the reservation time of the user is controlled within 14 days, and the notice is made on the reservation home page to reduce the total reservation amount of the user; s2, creating a static page for the reservation related page, caching the html page, js, css and picture file on the CDN, and reducing background server operation; s3, the query request of the same user can be identified by uuid to limit the access frequency, and the request of reserving the page within n seconds can return the same cache page. If the user needs to frequently access the nucleic acid detection reservation page during reservation, when the user clicks the jump link, the uuid of the user on the access link jumps to the display page, and the same page is jumped to the same cache page for the same uuid access; s4, reserving time segments, dividing the reserved time each day into a plurality of time segments, arranging the corresponding number source number according to the detection capability in each time segment, on one hand, facilitating the user to select the proper time, on the other hand, dispersing the arrival time of the user, avoiding crowd gathering, for example, distinguishing the time segments in one hour; s5, caching the reserved number source information, and inquiring from the cache every time the user number source is inquired, so as to avoid overlarge database pressure; for example, assume that the user queries the number of remaining number sources from number 12 to number 26. The background service inquires the cache when accessing for the first time, inquires the database if no data exists in the cache, and stores the inquired KV key value pairs of the remaining number sources in each time period, for example: { "12 days 10:00-11: 00": 998, the cache can be set to be invalid after n seconds, so that when different users initiate the same query request for multiple times in a short time, the request return speed can be increased, and repeated requests are avoided to reduce the database pressure. When the last number source in a certain period is contracted, the background service actively calls a cache updating interface to update the rest number sources to 0, so that the over-contract is avoided; s6, after the user clicks the query or reservation button to submit the query or reservation application, the button is grayed, and the front end restricts the user to submit the request only once within n seconds through js, so that the user is prevented from repeatedly submitting the request, and the current limitation is realized; s7, when the user submits the reservation, in order to avoid causing excessive pressure to the background, the user submits the reservation by establishing different queues for each time slot number source pool, such as: the method comprises the steps that a reserved time period is 14 days, each reserved time period is divided by one hour, 3 time periods are divided from 9 to 12 in the morning, 3 time periods are divided from 14 to 17 in the afternoon, 14 × 6-84 queues are created in a background, a user request is firstly inserted into each queue according to the reserved time period, a reserved interface only extracts a request with a fixed length in each queue when processing a reserved request, reservation processing is carried out, the request is written into a database, and if reservation is successful, the next batch is submitted. And if the number source in the corresponding time period is already contracted, returning 'contracted full' information to the rest requests in the corresponding message queue. In addition, the user interface is friendly and easy to use, and after submitting the reservation request, the user can be returned with the queue length to prompt the number of people in front of the user.
Step 5, a user performs nucleic acid detection sampling at a sampling point, opens a nucleic acid reservation recording page to display a reservation recording, the reservation recording is displayed by adopting a yellow code and a green code, the yellow code represents that the reservation time is not reached, the green code represents that the reservation time is reached or passed, and a detection worker can quickly identify and control the personnel entering the sampling point according to the display of the yellow code and the green code;
step 6, a user reaching the appointed time enters a sampling point, clicks a nucleic acid detection appointed recording page, invokes a mobile phone camera, holds a reagent bottle attached with a sampling bar code by a doctor, and scans the bar code through the mobile phone camera to identify the content of the bar code and binds information; the information verification is carried out in the process, so that the reagent bottle is correctly matched with the user;
step 7, the sampling point sends the collected reagent bottles to a hospital for nucleic acid detection;
step 8, after the detection result is issued, the LIS system inquires the bound user information through the bar code to realize the matching of the information of the nucleic acid detection report;
and 9, the user inquires a corresponding nucleic acid detection report according to the nucleic acid detection reservation record on the Internet hospital platform.
Example 2
Example 2 differs from example 1 in that the sampling point is located outside a hospital or other open place; the method comprises the steps that the method is arranged outside a hospital based on sampling points, and information of the sampling points is displayed to a user through an appointment record; and the collected sample of the sampling point is sent to a hospital for nucleic acid detection.
The whole sampling process of the embodiment 1 and the embodiment 2 does not need information system butt joint and interaction, so that the sampling work can be completed quickly, and the detection efficiency is greatly improved:
the whole sampling process does not greatly improve the sampling efficiency. In a general nucleic acid detection sampling process, a queuing waiting process is a main obstacle for increasing the sampling speed of nucleic acid detection. According to the technical scheme, the user information input link is advanced, the sampling bar codes are printed in advance, and only the bar codes need to be scanned to check information in the actual sampling process, so that the whole sampling operation is speeded up, and the whole sampling efficiency is improved.
In the sampling process, personnel entering the sampling point are controlled by time intervals, the sampling speed is increased, the sampling working flow is reasonably set, and large-scale crowd gathering in a short time is avoided, so that the risk of virus infection is reduced.
In the sampling process, especially in the sampling process of going out, this technical scheme only needs to guide the sampling reality, has greatly reduced the cost and the degree of difficulty of implementing the popularization. In addition, according to the technical scheme, tool equipment required to be carried by outworkers is reduced, and the butt joint of an internet hospital platform and a hospital information system is reduced, so that the software and hardware investment cost for modifying the internet hospital platform and the hospital information system in order to meet the requirement of large-scale population nucleic acid detection is reduced.
Furthermore, in the whole work flow process, hospital information systems such as the LIS and the like do not need to be opened to the Internet, the risk of data leakage of the hospital information systems is avoided, and data safety and privacy protection of medical institutions are effectively guaranteed.
It should be understood that the above detailed description of the present invention is only for illustrating the present invention and is not limited to the technical solutions described in the embodiments of the present invention. It will be appreciated by those skilled in the art that the present invention may be modified or substituted equally as well to achieve the same technical result; as long as the use requirements are met, the method is within the protection scope of the invention.
Claims (8)
1. A method for rapid nucleic acid detection sampling of large-scale population is characterized in that: the method comprises the following steps:
step 1, printing a bar code in advance in a hospital LIS system supporting nucleic acid detection, and attaching the bar code to a nucleic acid detection sampling test tube;
step 2, setting nucleic acid detection sampling points, and carrying the check calculation detection sampling test tube attached with the bar code to a specified place by medical institution or detection institution staff to carry out sampling work;
step 3, the user opens the mobile phone, registers user information on an internet hospital platform, and fills in an epidemiology questionnaire according to the disease control requirement;
step 4, reserving the nucleic acid detection diagnosis time and paying the nucleic acid detection cost on line;
step 5, the user carries out nucleic acid detection sampling from a sampling point, and opens a nucleic acid reservation recording page to display a reservation recording;
step 6, a user reaching the appointed time enters a sampling point, clicks a nucleic acid detection appointed recording page, invokes a mobile phone camera, holds a reagent bottle attached with a sampling bar code by a doctor, and scans the bar code through the mobile phone camera to identify the content of the bar code and binds information;
and 7: the sampling point sends the collected sample to a hospital for nucleic acid detection;
and 8: after the detection result is issued, the LIS system inquires the bound user information through the bar code to realize the matching of the nucleic acid detection report information;
and step 9: the user can inquire the corresponding nucleic acid detection report according to the nucleic acid detection reservation record on the Internet hospital platform.
2. The method for rapid nucleic acid detection sampling of large-scale populations of claim 1, wherein: the bar code in the step 1 is not too long, so that the mobile phone and the bar code scanning gun device can be conveniently and correctly identified, and the code is required to be unique to avoid information collision.
3. The method for rapid nucleic acid detection sampling of large-scale populations of claim 2, wherein: the bar code is composed of 16 digit numbers of 4 digit mechanism codes, 6 year, month and day and 6 bit stream serial numbers.
4. The method for rapid nucleic acid detection sampling of large-scale populations of claim 1, wherein: the sampling points in the step 2 can be set in a hospital or outside the hospital, and the sampling points outside the hospital are set in an open place.
5. The method for rapid nucleic acid detection sampling of large-scale populations of claim 1, wherein: the novel coronavirus pneumonia flow chart in the step 3 comprises the following contents: a, general items: such as name, gender, age, contact phone, current address, etc.; b, history of exposure to harmful factors, including exposure history: history of exposure within the last 14 days; c, clinical presentation: whether abnormal body temperature or other abnormal symptoms are present.
6. The method for rapid nucleic acid detection sampling of large-scale populations of claim 5, wherein: and the content of the flow schedule in the step 3 is associated with the user information.
7. The method for rapid nucleic acid detection sampling of large-scale populations of claim 1, wherein: the reservation record in the step 5 is displayed by adopting a yellow code and a green code, wherein the yellow code represents that the reservation time is not reached, and the green code represents that the reservation time is reached or passed.
8. The method for rapid nucleic acid detection sampling of large-scale populations of claim 1, wherein: the method can be used for detection sampling of outing corresponding complete detection people.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110639379.0A CN113571175A (en) | 2021-06-08 | 2021-06-08 | Method for rapid nucleic acid detection sampling of large-scale population |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110639379.0A CN113571175A (en) | 2021-06-08 | 2021-06-08 | Method for rapid nucleic acid detection sampling of large-scale population |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113571175A true CN113571175A (en) | 2021-10-29 |
Family
ID=78161735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110639379.0A Pending CN113571175A (en) | 2021-06-08 | 2021-06-08 | Method for rapid nucleic acid detection sampling of large-scale population |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113571175A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113944352A (en) * | 2021-11-03 | 2022-01-18 | 深圳市萨米医疗中心 | One-stop type nucleic acid collection gallery |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102324084A (en) * | 2011-09-20 | 2012-01-18 | 温州医学院眼视光研究院 | Medical treatment prescription on individual diagnosis mobile phone reservation guiding payment system |
| CN106250377A (en) * | 2015-06-08 | 2016-12-21 | 北京斯诺亚科技发展有限公司 | A kind of method based on the Internet+quick obtaining personalized medicine inspection service |
| CN112768027A (en) * | 2021-01-18 | 2021-05-07 | 北京声智科技有限公司 | Detection result query method, device, terminal, server and storage medium |
-
2021
- 2021-06-08 CN CN202110639379.0A patent/CN113571175A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102324084A (en) * | 2011-09-20 | 2012-01-18 | 温州医学院眼视光研究院 | Medical treatment prescription on individual diagnosis mobile phone reservation guiding payment system |
| CN106250377A (en) * | 2015-06-08 | 2016-12-21 | 北京斯诺亚科技发展有限公司 | A kind of method based on the Internet+quick obtaining personalized medicine inspection service |
| CN112768027A (en) * | 2021-01-18 | 2021-05-07 | 北京声智科技有限公司 | Detection result query method, device, terminal, server and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113944352A (en) * | 2021-11-03 | 2022-01-18 | 深圳市萨米医疗中心 | One-stop type nucleic acid collection gallery |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8099295B2 (en) | Prescription creation and adjudication method | |
| US11393580B2 (en) | Systems and methods for determining and communicating a prescription benefit coverage denial to a prescriber | |
| US8000979B2 (en) | Automated patient management system | |
| US5748907A (en) | Medical facility and business: automatic interactive dynamic real-time management | |
| JP5109141B2 (en) | Insurance card confirmation system and insurance card confirmation method | |
| US20140180704A1 (en) | Automated patient management system | |
| US20050187948A1 (en) | Patient admission and information access system | |
| JP5731440B2 (en) | Patient call display system, patient call / guidance method, patient call / guidance device, program | |
| US20080027863A1 (en) | Healthcare eligibility transactions | |
| CN104050613A (en) | Medical self-service comprehensive service system | |
| CN113571175A (en) | Method for rapid nucleic acid detection sampling of large-scale population | |
| JP2012068838A (en) | Common patient id card management system | |
| KR100473881B1 (en) | System and Method of Making Reservations for Client's Turn | |
| KR101018739B1 (en) | Counter management apparatus | |
| KR20120087063A (en) | Customer calling system and method | |
| JP2002123603A (en) | Patient guiding system | |
| EP1329827A1 (en) | Input assisting system | |
| KR101500331B1 (en) | Automated reception and management system of specimen collection room and the method thereof | |
| JP2006244458A (en) | Medical expense substitution system | |
| JP2003196388A (en) | Examination guide system | |
| JP2003186983A (en) | Notice system | |
| JP2001273399A (en) | Reservation managing method, its performing device and recording medium with its processing program recorded thereon | |
| JP3235467U (en) | Increased patient satisfaction DX system | |
| JP2019045977A (en) | Reservation management device, reservation management method and reservation management program | |
| JP7041599B2 (en) | Customer support system and customer support method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |