CN112905778B - Inquiring assisting method and system for pharmacy service personnel - Google Patents
Inquiring assisting method and system for pharmacy service personnel Download PDFInfo
- Publication number
- CN112905778B CN112905778B CN202110303499.3A CN202110303499A CN112905778B CN 112905778 B CN112905778 B CN 112905778B CN 202110303499 A CN202110303499 A CN 202110303499A CN 112905778 B CN112905778 B CN 112905778B
- Authority
- CN
- China
- Prior art keywords
- symptoms
- symptom
- pharmacy
- medication data
- pharmacy service
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/3332—Query translation
- G06F16/3334—Selection or weighting of terms from queries, including natural language queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3343—Query execution using phonetics
-
- 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
-
- 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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Medicinal Chemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Chemical & Material Sciences (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Pharmacology & Pharmacy (AREA)
- Toxicology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses an inquiry assisting method and system for pharmacy service personnel, wherein the method comprises the following steps: collecting onsite voice, and identifying and extracting a first keyword set related to symptoms; inquiring a first keyword set related to symptoms in a symptom-medication data database to obtain more than one symptom and corresponding symptom and medication data; the more than one disease and the corresponding medication data are sequenced and then displayed to the pharmacy attendant for selection by the pharmacy attendant. The invention adopts the voice of the automatic acquisition site, can inquire and inquire automatically, and can provide help for the drugstore service personnel on the premise of not increasing the operation burden for the drugstore service personnel. The shortage of professional knowledge of pharmacy service personnel can be made up, and the inexpert opinions can be avoided being provided for customers.
Description
Technical Field
The invention relates to the field of auxiliary systems for new medicine retail, in particular to an inquiry auxiliary method and system for pharmacy service personnel.
Background
Drug stores are stores and drug pads that sell drugs. The retail drug stores in China have a short development time but grow fast. According to statistics, the number of Chinese retail drug stores in 2017 is 45.4 thousands. These pharmacies have millions of pharmacy attendants who are typically charged with providing services such as advice on drug purchases for mild or common chronic diseases and medication counseling to community residents of the pharmacy. According to statistics, about 30-40 common diseases of a pharmacy, about 40-50 common diseases, and about 50-60 other diseases which are not particularly frequent are provided. At present, at least 800-1200 Chinese and western patent medicines sold in general drugstores are available, and large-scale drugstores can even provide 3000-8000 products; also comprises about 200-500 products of instruments, 150-450 products of disinfectants, 200-500 health products and the like. It is also difficult for the pharmaceutical specialist to have a comprehensive understanding of all categories. The available medicines of 70-350 types are generally available in clinics and community medical sites, and the medicines need to be provided by service personnel of drugstores; in addition, pharmacies often provide some related services for health science popularization education, overall health preliminary programs, and health tracking management.
But most of the service staff are not pharmacy experts, as the service staff in the pharmacy is usually not a professional nor a general practitioner. Pharmacy service personnel of a plurality of basic stores only go on duty through training, so that medicine taking and consultation services of a plurality of 140-160 diseases cannot be mastered.
In order to avoid the wrong medication guidance, the service personnel is usually assisted by a medication data database; however, the current medical database is too professional, the query time is long, the vocabulary understanding difficulty is high, the knowledge requirement on a user is the level of a specialist, and the knowledge level of pharmacy service personnel is uneven, so that the application in a pharmacy shop is difficult.
Disclosure of Invention
The invention provides an inquiry assisting method and system for pharmacy service personnel, which are used for solving the technical problem that the pharmacy service personnel cannot comprehensively and accurately provide medication consultation and suggestion of excessive diseases due to incomplete knowledge.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
an inquiry assisting method for pharmacy service personnel, comprising the following steps:
collecting onsite voice, and identifying and extracting a first keyword set related to symptoms;
inquiring a first keyword set related to symptoms in a symptom-medication data database to obtain more than one symptom and corresponding medication data;
more than one condition and corresponding medication data are presented to the pharmacy attendant for selection by the pharmacy attendant.
Preferably, the first keyword set related to symptoms is inquired in a symptom-medication data database to obtain more than one symptom and corresponding medication data, and other symptoms corresponding to the symptoms are also obtained, and the other symptoms are displayed to the pharmacy service staff for the pharmacy service staff to inquire next;
continuously collecting the field voice, and identifying and extracting a second keyword set related to other symptoms;
combining a second keyword set related to other symptoms with the first keyword set to obtain an updated keyword set, and inquiring more than one disease symptoms and corresponding medication data to obtain optimized disease symptoms and corresponding medication data;
and displaying an optimized disease state and corresponding medication data to the pharmacy service staff for the pharmacy service staff to refer.
Preferably, when the pharmacy service staff is presented with the one or more symptoms and the corresponding medication data, the pharmacy service staff is further provided with an option of determining the diagnosis, and when the pharmacy service staff chooses no, the method further comprises:
displaying a symptom list corresponding to more than one disease symptoms to an operation end of a pharmacy service staff; acquiring positive and negative selection results of the pharmacy service personnel for each symptom in the symptom list, adding the symptom with the positive selection result into a keyword set related to the symptom, and deleting the symptom with the negative selection result from the keyword set when the symptom with the negative selection result exists in the keyword set;
searching in the symptom-medication data database again according to the updated keyword set to obtain more than one symptom and corresponding medication data;
and repeating the steps until the pharmacy service personnel selects yes in the option of determining the diagnosis.
Preferably, the searching of the keyword set or the updated keyword set in the symptom-medication-use database comprises the following steps:
searching according to the keyword set related to the symptoms to obtain more than one symptoms corresponding to the symptoms and corresponding medication data; matching the keyword set related to symptoms according to a plurality of symptom weights corresponding to each symptom in more than one symptom, calculating the matching degree, and performing descending order arrangement of more than one symptom according to the matching degree;
the one or more conditions and corresponding medication data are presented to the pharmacy attendant in descending order for selection by the pharmacy attendant.
Preferably, after the one or more conditions and corresponding medication data are presented to the pharmacy attendant in descending order for selection by the pharmacy attendant, the method further comprises:
acquiring the disease selected by the pharmacy service staff and corresponding medicine data, and storing a selection result into a symptom-disease-medicine data database, wherein the selection result comprises the following steps: the selected disease symptoms and corresponding keyword sets related to the disease symptoms, and the corresponding relations between the disease symptoms and keywords related to the disease symptoms arranged in the front of the matching degree in the selection process.
Preferably, after saving the selection result in the symptom-medication data database, a count weight is set, and when the result is selected again, the count weight is increased, and when one or more symptoms and corresponding medication data are displayed to the pharmacy attendant, the ranking of the selection results is determined according to the count weight, and the higher the count weight, the higher the ranking of the selection results.
Preferably, when the order of the one or more symptoms and the corresponding medication data is displayed to the pharmacy attendant for selection by the pharmacy attendant, the optimized symptoms and the corresponding medication data are ranked more forward than the unoptimized symptoms and the corresponding medication data.
The present invention also provides a computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods described above when executing the computer program.
The invention has the following beneficial effects:
1. the inquiry assisting method for the pharmacy service personnel assists the pharmacy service personnel in service, can make up for the shortage of professional knowledge of the pharmacy service personnel, avoids providing unprofessional opinions for customers and reduces the medication risk; moreover, on-site voice is automatically acquired by voice, so that the operation requirement on the pharmacy service personnel is low, automatic query can be realized while query is carried out, a query result can be quickly given, the obtained query further comprises symptoms corresponding to symptoms, the symptoms can be verified by the pharmacy service personnel and confirmed by the customer again, recommended medication data can be given, and the pharmacy service personnel can be helped without increasing the operation burden on the pharmacy service personnel.
2. In a preferred scheme, the inquiry assisting method for the pharmacy service staff can be used for inquiring for the first time through the first keyword set and then supplementing the first keyword set with the second keyword set, so that related diseases can be inquired no matter whether the customers show primary symptoms or secondary symptoms of the diseases, and multiple symptoms are combined for inquiry and judgment.
3. The system is used for inquiring auxiliary methods and systems of pharmacy service personnel, and the symptom-medication data database which is continuously updated according to the final result in use is adopted, so that the continuous learning and updating of the system are realized, and the query and result return display of the symptom-medication data can be more in line with the actual use.
In addition to the above-described objects, features and advantages, the present invention has other objects, features and advantages. The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart diagram of a query assistance method for pharmacy service personnel in accordance with a preferred embodiment of the present invention;
FIG. 2 is a flow chart of mode I in obtaining a set of keywords according to the preferred embodiment of the present invention;
fig. 3 is a flow chart of the mode ii in acquiring the keyword set according to the preferred embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Referring to fig. 1, the inquiry assisting method for pharmacy service personnel of the present invention comprises the following steps:
s1, collecting onsite voice, and recognizing and extracting a first keyword set related to symptoms; during implementation, the keywords can be extracted by converting the voice into characters, and matching a keyword lexicon through grammar analysis and word segmentation;
s2, inquiring the first keyword set related to symptoms in a symptom-medication data database to obtain more than one symptom and corresponding medication data; the symptom-medication data base is formed by adopting various existing medical classics and past cases through data comparison and screening, and the screening can be performed by combining computer comparison manually.
And S3, displaying the more than one disease symptoms and the corresponding medication data to the pharmacy service staff for the pharmacy service staff to select. In implementation, the display can be displayed to the drugstore service staff through the handheld terminal of the drugstore service staff or the display terminal fixed in the drugstore.
In the steps, the voice on the spot is automatically acquired by adopting the voice, so that the operation requirement on the pharmacy service personnel is low, the inquiry can be realized while the automatic inquiry is carried out, the inquiry result can be quickly given, the inquired symptoms corresponding to the symptoms are also included, the pharmacy service personnel can check the symptoms and confirm the symptoms with the customers again, the recommended medication data is given, and the pharmacy service personnel can be helped without increasing the operation burden on the (medication guidance) pharmacy service personnel. The system can assist the pharmacy service staff to carry out service, can make up the shortage of professional knowledge of the pharmacy service staff, avoids providing unprofessional opinions for customers, and reduces the medication risk.
In implementation, referring to fig. 2, when obtaining the keyword set, the following method i may also be adopted:
s21, inquiring the first keyword set related to symptoms in a symptom-medication data database to obtain more than one symptom and corresponding medication data, and further obtain other symptoms corresponding to the symptoms, and displaying the other symptoms to pharmacy service staff for the pharmacy service staff to inquire next;
s22, continuously collecting the on-site voice, and recognizing and extracting a second keyword set related to other symptoms;
s23, combining the second keyword set related to other symptoms with the first keyword set to obtain an updated keyword set, and inquiring more than one disease symptoms and corresponding medication data to obtain optimized disease symptoms and corresponding medication data;
and S3, displaying the optimized disease and the corresponding medication data to the pharmacy attendant for reference by the pharmacy attendant.
In implementation, referring to fig. 3, when obtaining the keyword set, the following mode ii may also be adopted:
S21A, when the pharmacy service staff is presented with one or more symptoms and corresponding medication data, the pharmacy service staff is also provided with an option of determining whether the diagnosis is confirmed (the confirmed diagnosis is not a diagnosis, but indicates whether the current inquiry phase needs to be ended), and when the pharmacy service staff chooses no:
S22A, displaying a symptom list corresponding to more than one disease symptoms to an operation end of a pharmacy service staff; acquiring positive and negative selection results of the pharmacy service personnel for each symptom in the symptom list, adding the symptom with the positive selection result into a keyword set related to the symptom, and deleting the symptom with the negative selection result from the keyword set when the symptom with the negative selection result exists in the keyword set;
S23A, searching in the symptom-medication data database again according to the updated keyword set, and acquiring more than one symptom and corresponding medication data;
and S24A, repeating the steps until the pharmacy service staff selects yes in the option of determining the diagnosis.
The above-mentioned mode II and mode I may be used each alone or may be carried out in combination. The method aims to be capable of inquiring related diseases by supplementing a second keyword set (or combining a plurality of keyword sets) after first inquiry is carried out on a first keyword set, no matter whether the customers show primary symptoms or secondary symptoms of the diseases, and inquiring and judging a plurality of symptom combinations.
The method is that the system identifies a plurality of symptoms, matches and queries diseases corresponding to all symptoms, queries a plurality of diseases, sorts the diseases according to the matching weight of each disease and the symptoms (the weight is reduced only if the disease is not excluded according to the fact that the disease does not include the main symptoms), and finally provides pharmacy service personnel for selection.
In implementation, after the keyword set or the updated keyword set is searched in the symptom-medication database, the method comprises the following steps of sorting the results:
s25, searching according to the keyword set related to the symptom to obtain more than one symptom corresponding to the symptom and corresponding medication data; matching with a keyword set related to symptoms according to a plurality of symptom weights corresponding to each symptom in more than one symptom, calculating a matching degree, and performing descending order arrangement of more than one symptom according to the matching degree;
and S3, displaying the more than one disease symptoms and the corresponding medication data to the pharmacy service staff in descending order for the pharmacy service staff to select.
In practice, after the one or more medical conditions and the corresponding medication data are presented to the pharmacy attendant in descending order for the pharmacy attendant to select, the method further comprises:
s4, acquiring the disease selected by the pharmacy service staff and corresponding medication data, and storing the selection result in a symptom-disease-medication data database, wherein the selection result comprises: the selected disease symptoms and the corresponding keyword sets related to the disease symptoms, and the corresponding relations between the disease symptoms and the keywords related to the disease symptoms arranged at the top of the matching degree in the selection process.
S5, after storing the selection result in the symptom-medication data database, setting a counting weight, and increasing the counting weight when the result is selected again, when more than one symptom and corresponding medication data are displayed to the pharmacy attendant, determining the ranking of the selection result according to the counting weight, wherein the higher the counting weight, the higher the ranking of the selection result. The method can make the database of one storefront more accord with the combination of local common medicines, current seasons and local common medicines, make the database more accord with the actual use habit of the current storefront, and improve the usability.
The steps enable the symptom-medication data database which is continuously updated according to the final result in use to realize the continuous learning and updating of the system, and enable the query and result return display of the symptom-medication data to be more in line with the actual use.
The present invention also provides a computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any of the above methods when executing the computer program.
In summary, the invention can provide professional symptoms and medication opinions for the pharmacy service staff, can make up the defect of insufficient professional knowledge or experience of the pharmacy service staff, provides assistance for the pharmacy service staff, does not increase the operation steps of the pharmacy service staff, and does not delay and influence the shop front service of the pharmacy service staff by voice automatic acquisition, inquiry assistance, keyword combination updating, result sorting and learning updating of multiple times of retrieval. And can increase the accuracy of the recommended data through continuous learning.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. An inquiry assisting method for pharmacy service personnel, which is characterized by comprising the following steps:
collecting onsite voice, and identifying and extracting a first keyword set related to symptoms;
inquiring the first keyword set related to the symptoms in a symptom-medication data database to obtain more than one symptom, corresponding symptoms and medication data and other symptoms corresponding to the symptoms, and displaying the other symptoms to pharmacy service personnel for the pharmacy service personnel to inquire next;
continuously collecting the onsite voice, and identifying and extracting a second keyword set related to other symptoms;
combining the second keyword set related to other symptoms with the first keyword set to obtain an updated keyword set, and querying the more than one symptoms and corresponding medication data to obtain optimized more than one symptoms and corresponding medication data;
displaying the optimized more than one diseases and corresponding medication data to a pharmacy service staff for the pharmacy service staff to refer to;
sequencing the optimized more than one disease symptoms and the corresponding medication data and displaying the disease symptoms and the corresponding medication data to a pharmacy service staff for the pharmacy service staff to select; the pharmacy attendant is also provided with an option of determining a diagnosis, and when the pharmacy attendant chooses no, the method further comprises:
displaying the optimized symptom list corresponding to the more than one symptoms to an operation end of a pharmacy service staff; acquiring positive and negative selection results of pharmacy service personnel on each symptom in the symptom list, adding the symptom with the positive selection result into the updated keyword set, and deleting the symptom with the negative selection result from the updated keyword set when the symptom with the negative selection result exists in the updated keyword set;
searching in a symptom-medication data database again according to the updated keyword set to obtain the optimized more than one symptoms and corresponding medication data;
and repeating the steps until the pharmacy service personnel selects yes in the option of determining the diagnosis.
2. The query assistance method for pharmacy service personnel according to claim 1, wherein the updated keyword set is searched in the symptom-medication-administration database, comprising the steps of:
searching according to the updated keyword set to obtain more than one disease symptoms corresponding to the related symptoms in the updated keyword set and corresponding medication data; matching with the updated keyword set according to a plurality of symptom weights corresponding to each disease symptom in the optimized more than one disease symptom, calculating a matching degree, and performing descending order of the optimized more than one disease symptom according to the matching degree;
and displaying the optimized more than one disease symptoms and the corresponding medication data to a pharmacy service staff according to the descending order for the pharmacy service staff to select.
3. The query assistance method for pharmacy service personnel according to claim 2, wherein after presenting the one or more medical conditions and corresponding medication data to the pharmacy service personnel in the descending order for selection by the pharmacy service personnel, the method further comprises:
acquiring the disease selected by the pharmacy service staff and corresponding medication data, and storing a selection result into the symptom-disease-medication data database, wherein the selection result comprises: the selected disease symptoms and corresponding keyword sets related to the disease symptoms, and the corresponding relations between the disease symptoms and keywords related to the disease symptoms arranged in the front of the matching degree in the selection process.
4. The inquiry assisting method for pharmacy service personnel according to claim 1, wherein after saving said selection result in said symptom-medication data database, a count weight is set, said count weight representing a magnitude of weight by a count weight value; and when the result is selected again, increasing the counting weight value, and when the optimized more than one disease and the corresponding medication data are displayed to a pharmacy attendant, determining the ranking rank of the selection result according to the counting weight value, wherein the higher the counting weight value is, the higher the ranking of the selection result is.
5. The inquiry assisting method for pharmacy service personnel of any one of claims 1 to 4, wherein when the optimized one or more symptoms and corresponding medication data are ranked and presented to pharmacy service personnel for selection by the pharmacy service personnel, the optimized symptoms and corresponding medication data are ranked further forward than the unoptimized symptoms and corresponding medication data.
6. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of the preceding claims 1 to 5 are performed when the computer program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110303499.3A CN112905778B (en) | 2021-03-22 | 2021-03-22 | Inquiring assisting method and system for pharmacy service personnel |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110303499.3A CN112905778B (en) | 2021-03-22 | 2021-03-22 | Inquiring assisting method and system for pharmacy service personnel |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112905778A CN112905778A (en) | 2021-06-04 |
| CN112905778B true CN112905778B (en) | 2022-05-20 |
Family
ID=76105859
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110303499.3A Active CN112905778B (en) | 2021-03-22 | 2021-03-22 | Inquiring assisting method and system for pharmacy service personnel |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112905778B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107591189A (en) * | 2017-08-29 | 2018-01-16 | 科大智能科技股份有限公司 | A kind of commending system based on OTC medicines |
| CN107993724A (en) * | 2017-11-09 | 2018-05-04 | 易保互联医疗信息科技（北京）有限公司 | A kind of method and device of medicine intelligent answer data processing |
| CN110489566A (en) * | 2019-08-22 | 2019-11-22 | 上海软中信息系统咨询有限公司 | A kind of hospital guide's method of intelligence hospital guide's service robot |
| CN112241451A (en) * | 2020-10-27 | 2021-01-19 | 北京小乔机器人科技发展有限公司 | Application of intelligent robot in pharmacy |
| CN112417102A (en) * | 2020-11-26 | 2021-02-26 | 中国科学院自动化研究所 | Voice query method, device, server and readable storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060206302A1 (en) * | 2004-12-27 | 2006-09-14 | Anuthep Banja-Athon | Physicians' way of information productions |
| CN109065172B (en) * | 2018-07-04 | 2023-04-11 | 平安科技（深圳）有限公司 | Disease information acquisition method and device, computer equipment and storage medium |
-
2021
- 2021-03-22 CN CN202110303499.3A patent/CN112905778B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107591189A (en) * | 2017-08-29 | 2018-01-16 | 科大智能科技股份有限公司 | A kind of commending system based on OTC medicines |
| CN107993724A (en) * | 2017-11-09 | 2018-05-04 | 易保互联医疗信息科技（北京）有限公司 | A kind of method and device of medicine intelligent answer data processing |
| CN110489566A (en) * | 2019-08-22 | 2019-11-22 | 上海软中信息系统咨询有限公司 | A kind of hospital guide's method of intelligence hospital guide's service robot |
| CN112241451A (en) * | 2020-10-27 | 2021-01-19 | 北京小乔机器人科技发展有限公司 | Application of intelligent robot in pharmacy |
| CN112417102A (en) * | 2020-11-26 | 2021-02-26 | 中国科学院自动化研究所 | Voice query method, device, server and readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 海量医疗信息系统推荐技术研究;刘辉;《中国优秀硕士学位论文全文数据库》;20170515;正文第6-37页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112905778A (en) | 2021-06-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20190035506A1 (en) | Intelligent auxiliary diagnosis method, system and machine-readable medium thereof | |
| CN109686439B (en) | Data analysis method, system and storage medium for genetic disease gene detection | |
| US8600772B2 (en) | Systems and methods for interfacing with healthcare organization coding system | |
| US20120117088A1 (en) | Medical information system and program for same | |
| US20100217768A1 (en) | Query System for Biomedical Literature Using Keyword Weighted Queries | |
| EP1769411A2 (en) | Apparatus and methods for assessing a pharmaceutical product | |
| CN112905764A (en) | Epidemic disease consultation prevention and training system construction method and system | |
| CN113345577A (en) | Diagnosis and treatment auxiliary information generation method, model training method, device, equipment and storage medium | |
| CN107330287A (en) | A kind of disease information analysis method and device | |
| CN109065132A (en) | A kind of self-supporting medical method of servicing and system based on mobile interchange | |
| CN112837772A (en) | Pre-inquiry case history generation method and device | |
| CN112597398A (en) | Medicine recommendation model application method and system | |
| Booth | In search of the evidence: informing effective practice | |
| CN112905778B (en) | Inquiring assisting method and system for pharmacy service personnel | |
| CN109841285B (en) | Clinical research collaboration system and method | |
| CN114255877A (en) | Target point information mining and searching method and device, electronic equipment and storage medium | |
| CN113886538B (en) | Medical insurance reimbursement information query method and device, electronic equipment and storage medium | |
| JP2001175725A (en) | System for analyzing medical fee bill in each different disease | |
| US20220054091A1 (en) | Methods and systems for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance | |
| CN114595322A (en) | Insurance product recommendation method and device | |
| CN112700861B (en) | Accompanying symptom interaction method and accompanying symptom interaction system | |
| US20230072155A1 (en) | Method and system for incorporating patient information | |
| CN109840275B (en) | Method, device and equipment for processing medical search statement | |
| Lambert et al. | A system for multiattribute drug product comparison | |
| CN112948559B (en) | Audio identification method and system for assisting pharmacy service staff |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |