CN113096764A - Medical physiotherapy recommendation system and method based on intelligent medicine chest - Google Patents
Medical physiotherapy recommendation system and method based on intelligent medicine chest Download PDFInfo
- Publication number
- CN113096764A CN113096764A CN202110389832.7A CN202110389832A CN113096764A CN 113096764 A CN113096764 A CN 113096764A CN 202110389832 A CN202110389832 A CN 202110389832A CN 113096764 A CN113096764 A CN 113096764A
- Authority
- CN
- China
- Prior art keywords
- medicine
- physical therapy
- medical
- information
- module
- 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
- 239000003814 drug Substances 0.000 title claims abstract description 220
- 238000000554 physical therapy Methods 0.000 title claims abstract description 182
- 238000000034 method Methods 0.000 title claims abstract description 56
- 229940079593 drug Drugs 0.000 claims abstract description 42
- 201000010099 disease Diseases 0.000 claims description 66
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 66
- 208000024891 symptom Diseases 0.000 claims description 54
- 238000011156 evaluation Methods 0.000 claims description 27
- 238000003745 diagnosis Methods 0.000 claims description 26
- 238000012545 processing Methods 0.000 claims description 23
- 238000012163 sequencing technique Methods 0.000 claims description 17
- 230000005484 gravity Effects 0.000 claims description 14
- 206010037660 Pyrexia Diseases 0.000 description 5
- 239000002220 antihypertensive agent Substances 0.000 description 4
- 229940127088 antihypertensive drug Drugs 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 206010011224 Cough Diseases 0.000 description 2
- 208000002193 Pain Diseases 0.000 description 2
- 230000004308 accommodation Effects 0.000 description 2
- 238000001467 acupuncture Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000001035 drying Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 208000027905 limb weakness Diseases 0.000 description 2
- 231100000861 limb weakness Toxicity 0.000 description 2
- 238000002560 therapeutic procedure Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 201000004384 Alopecia Diseases 0.000 description 1
- 201000004569 Blindness Diseases 0.000 description 1
- 206010020751 Hypersensitivity Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 206010068319 Oropharyngeal pain Diseases 0.000 description 1
- 206010044565 Tremor Diseases 0.000 description 1
- 206010047642 Vitiligo Diseases 0.000 description 1
- 208000026935 allergic disease Diseases 0.000 description 1
- 230000007815 allergy Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 208000024963 hair loss Diseases 0.000 description 1
- 230000003676 hair loss Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000009747 swallowing Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 208000023409 throat pain Diseases 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
-
- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Business, Economics & Management (AREA)
- Biomedical Technology (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Physical Education & Sports Medicine (AREA)
- Pathology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a medical physiotherapy recommending system and method based on an intelligent medicine chest, wherein the system comprises the following components: the system comprises a mobile medical terminal and a medical physiotherapy service module; the mobile medical terminal includes: the voice recognition module, the character input module and the information diversion module; the medical physiotherapy service module includes: a physiotherapy suggestion module, a medical guidance module and an intelligent medicine chest; the method is used for judging the user requirements and providing physical therapy suggestions, medical guidance and drug requirement management for the user. The invention improves the function of the household medical system and can provide the physical therapy proposal suggestion and the guidance when seeking medical doctors, thereby improving the medical quality of users and saving public medical resources; meanwhile, the medicine management function is achieved, a user can be reminded of taking medicine and reminding of medicine shortage, and convenience is improved.
Description
Technical Field
The invention relates to the technical field of mobile medical treatment, in particular to a medical physiotherapy recommendation system and method suitable for an intelligent medicine chest.
Background
Due to factors such as living pressure, working environment and age increase, various small problems are easy to occur to the body of people, and the problems are difficult to solve radically and can only be relieved by physical therapy. For these problems, it is often not necessary to visit a hospital for help. Meanwhile, people also have demands on the aspect of drug management. In recent years, the mobile medical technology has attracted the attention of both academia and industry, and the related medical, information, communication and other technologies are becoming mature. The existing mobile medical system based on the intelligent medicine chest can basically solve the problem of reminding the medicine taking aspect, but still has the following defects:
1. the existing mobile medical system lacks suggestions on physical therapy, and when a user needs physical therapy to relieve pain, the user cannot inform an effective physical therapy scheme, so that the problem of the user cannot be effectively solved;
2. the existing mobile medical system lacks guidance during medical treatment, and lacks effective integration on information such as hospital introduction, doctor resources, information of a doctor room, evaluation information of the doctor room and the like, so that the medical treatment quality of a user cannot be guaranteed.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a medical physiotherapy recommending system and method based on an intelligent medicine chest, so that practical and effective physiotherapy suggestions and medical treatment guidance can be recommended for a user, the medical treatment quality of the user is improved, and public medical resources are saved; meanwhile, the medicine management function is achieved, a user can be reminded of taking medicine and reminding of medicine shortage, and convenience is improved.
The invention adopts the following technical scheme for solving the technical problems:
the invention relates to a medical physiotherapy recommendation system based on an intelligent medicine chest, which is characterized by comprising the following components: the system comprises a mobile medical terminal and a medical physiotherapy service module;
the mobile medical terminal includes: the voice recognition module, the character input module and the information diversion module;
the medical physiotherapy service module includes: a physiotherapy suggestion module, a medical guidance module and an intelligent medicine chest;
the voice recognition module is used for acquiring a voice main complaint of a user, converting the voice main complaint into a text main complaint and providing the text main complaint to the information diversion module;
the character input module is used for manually inputting a text chief complaint and then providing the text chief complaint to the information diversion module;
the information flow guiding module is used for identifying the text complaint and sending the complaint to the calling medical physiotherapy service module after the complaint content is obtained;
the physical therapy suggestion module includes: a knowledge base of physical therapy methods and a scheme recommendation module;
the knowledge base of the physical therapy method comprises the following steps: index of physical therapy scheme data, physical therapy method table, physical therapy indication table;
the scheme recommendation module comprises: a physiotherapy plan suggestion processing unit and a user medical history database;
the physical therapy method table comprises the following steps: physical therapy name, physical therapy cycle, physical therapy time, required equipment and cost, physical therapy convenience;
the physical therapy indication table comprises: the diseases adapted by different physical therapy methods;
the physical therapy scheme data index is an index established for the physical therapy scheme table and the physical therapy indication table;
the user medical history database includes: historical electronic medical records, treatment results;
the physical therapy proposal suggestion processing unit obtains N physical therapy proposal suggestions according to the complaint content, the user medical history database and the physical therapy method knowledge base;
the medical guidance module comprises: the system comprises a medical knowledge base, a recommendation module and a positioning module;
the medical knowledge base includes: the system comprises a hospital introduction, physician resource and consulting room information, consulting room evaluation information, a disease symptom set table and a common disease and consulting room corresponding table;
the hospital profile comprises: hospital name, hospital scale, hospital features;
the physician resources and office information include: the number and name of high-grade called doctors in the hospital, the consulting room where the doctors are located, the outpatient departments corresponding to the doctors and the personal brief introduction of the doctors;
the consulting room evaluation information includes: the patient's rate of evaluation in the consulting room and the prize information in the consulting room;
the disease symptom set table comprises clinical symptom set tables of various common diseases, and each disease corresponds to one symptom set;
the common disease and diagnosis and treatment room correspondence table comprises diagnosis and treatment room names which should be selected by common diseases;
the recommendation module comprises: the intelligent fuzzy processing unit and the hospitalizing sequencing processing unit;
the intelligent fuzzy processing unit matches the appeal content of the user with a disease symptom set table and a common disease and diagnosis and treatment room corresponding table to obtain user target diagnosis rooms of different hospitals;
the hospitalizing sequencing processing unit sequences the consulting rooms of the target users of different hospitals according to the hospital brief introduction, the doctor resource and consulting room information and the consulting room evaluation information to obtain hospital sequencing results;
the positioning module acquires the corresponding medical service institution position in the range of the location of the user according to the hospital sequencing result and provides the position for the user;
the intelligent medicine chest includes: the system comprises a medicine database, a medicine information acquisition unit, a medicine storage unit, a medicine shortage reminding unit, a medicine taking reminding unit and a voice unit;
the drug database is used for storing drug information of various drugs acquired by the drug information acquisition module, and the drug information at least comprises: the name of the medicine, the taking time and the taking dosage;
a plurality of medicine storage lattices with different sizes and specifications are arranged in the medicine storage unit and are used for storing different medicines; a gravity sensor is arranged in the medicine storage grid;
the medicine information acquisition unit acquires the medicine information in the medicine storage grid by scanning a medicine bar code/two-dimensional code/magnetic stripe/character;
the medicine shortage reminding unit judges whether medicine is in shortage or not according to the information collected by the gravity sensor, so that a prompt is sent out through a voice unit;
the medicine taking reminding unit matches corresponding medicines in the medicine storage grid according to the appeal content and the medicine information, if a matching result is obtained, timing is carried out according to the medicine taking time in the medicine information, when the medicine taking time is reached, reminding is sent through the voice unit, and if a matching result is not obtained, medicine shortage reminding is sent.
The invention relates to a medical physiotherapy recommending method based on an intelligent medicine chest, which is characterized by comprising the following steps of:
step 1, establishing a physical therapy method knowledge base, a user medical history database, a medical knowledge base and a medicine database;
the knowledge base of the physical therapy method comprises the following steps: index of physical therapy scheme data, physical therapy method table, physical therapy indication table;
the physical therapy method table comprises the following steps: physical therapy name, physical therapy cycle, physical therapy time, required equipment and cost, physical therapy convenience;
the physical therapy indication table comprises: the diseases adapted by different physical therapy methods;
the physical therapy scheme data index is an index established for the physical therapy scheme table and the physical therapy indication table;
the user medical history database includes: historical electronic medical records, treatment results;
the medical knowledge base includes: the system comprises a hospital introduction, physician resource and consulting room information, consulting room evaluation information, a disease symptom set table and a common disease and consulting room corresponding table;
the hospital profile comprises: hospital name, hospital scale, hospital features;
the physician resources and office information include: the number and name of high-grade called doctors in the hospital, the consulting room where the doctors are located, the outpatient departments corresponding to the doctors and the personal brief introduction of the doctors;
the consulting room evaluation information includes: the patient's rate of evaluation in the consulting room and the prize information in the consulting room;
the disease symptom set table comprises clinical symptom set tables of various common diseases, and each disease corresponds to one symptom set;
the common disease and diagnosis and treatment room correspondence table comprises diagnosis and treatment room names which should be selected by common diseases;
the drug information base is used for storing drug information of various drugs, and the drug information at least comprises: the name of the medicine, the taking time and the taking dosage;
step 2, acquiring a voice main complaint of a user and converting the voice main complaint into a text main complaint, or directly acquiring the text main complaint, extracting a functional keyword of the text main complaint, judging whether the functional keyword is a physiotherapy suggestion, and if so, executing step 3; otherwise, judging whether the appeal content is a medical guide, if so, executing the step 4 to the step 6; otherwise, judging whether the appeal content is the medicine demand, if so, executing the step 7 to the step 10; otherwise, quitting the flow;
step 3, extracting symptom keywords according to the appeal content, matching the symptom keywords with a user medical history database, and matching the obtained matching result with a physical therapy method knowledge base to obtain N physical therapy suggestion schemes for the user;
step 4, extracting symptom keywords according to the appeal content, and matching the symptom keywords with a disease symptom set table and a common disease and diagnosis and treatment room corresponding table to obtain user target diagnosis rooms of different hospitals;
step 5, sorting the consulting rooms of the target users of different hospitals according to the hospital brief introduction, the doctor resource and consulting room information and the consulting room evaluation information to obtain hospital sorting results;
step 6, acquiring the corresponding medical service institution position in the range of the location of the user according to the hospital sequencing result and providing the position for the user;
and 7: a plurality of medicine storage grids with different sizes and specifications are arranged in the intelligent medicine box and used for storing different medicines; a gravity sensor is arranged in the medicine storage grid;
and 8: the intelligent medicine box obtains medicine information in the medicine storage grid by scanning a medicine bar code/two-dimensional code/magnetic stripe/character;
step 9, the intelligent medicine box judges whether the medicine is lacked according to the information collected by the gravity sensor, so that a prompt is sent out through a voice unit;
and step 10, the intelligent medicine box matches corresponding medicines in the medicine storage grids according to the appeal content and the medicine information, if a matching result is obtained, timing is carried out according to the medicine taking time in the medicine information, when the medicine taking time is reached, a prompt is sent through the voice unit, and if a matching result is not obtained, a medicine shortage prompt is sent.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, user demands including voice information and text information are acquired through the medical terminal, a module which the user wants to obtain service is called for service through keyword identification, symptom keywords can be extracted according to the user demand content in the physiotherapy suggestion module and are matched with the physiotherapy method table and the physiotherapy indication table, and the obtained matching result is matched with the historical electronic medical record, so that N physiotherapy suggestion schemes are obtained and recommended to the user, the requirement that the user wants to carry out physiotherapy at home is solved, and the problem can be solved when the user is at home; the hospitalizing guidance module plays a role when a user needs to seek a doctor, extracts symptom keywords according to the content of user appeal, matches the symptom keywords with a disease symptom set table and a common disease and diagnosis and treatment room corresponding table to judge the department of a doctor room to be visited by the user, sorts the scores of the doctor room of each hospital, and obtains a score sorting table of the hospital for recommendation, so that the blindness of the user when selecting the hospital is reduced, and the hospitalizing quality of the user is improved; in conclusion, the intelligent medicine box improves the functions of a household medical system and can meet the requirements of different people.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a physical therapy advice module in accordance with the present invention;
FIG. 3 is a schematic view of a medical guidance module according to the present invention;
fig. 4 is a schematic view of the intelligent medicine chest of the present invention.
Detailed Description
In this embodiment, a medical treatment physiotherapy recommendation system based on intelligent medical kit includes: the system comprises a mobile medical terminal and a medical physiotherapy service module;
the mobile medical terminal includes: the voice recognition module, the character input module and the information diversion module;
the mobile medical terminal is mainly used for collecting patient complaints, converting the patient complaints into texts, sending the texts to the medical physiotherapy service module through the information diversion module, awakening the service module required to be used, and displaying a processing result corresponding to the used service function module. As shown in fig. 1
The medical physiotherapy service module includes: a physiotherapy suggestion module, a medical guidance module and an intelligent medicine chest;
the medical physiotherapy service module is a service system comprising an intelligent medicine box and is mainly used for calling a subsystem under the medical physiotherapy service module after carrying out intelligent analysis according to patient complaints transmitted by the information diversion module, returning and sending a processing result of the called subsystem to the mobile medical terminal through the information diversion module, and displaying and informing a user on the terminal.
The voice recognition module is used for acquiring a voice main complaint of a user, converting the voice main complaint into a text main complaint and providing the text main complaint to the information diversion module;
the character input module is used for manually inputting the text main complaint and then providing the text main complaint to the information diversion module;
the information flow guiding module is used for identifying the text complaint and sending the complaint content to the calling medical physiotherapy service module after the complaint content is obtained;
the physiotherapy advice module includes: a knowledge base of physical therapy methods and a scheme recommendation module;
the knowledge base of the physical therapy method comprises the following steps: index of physical therapy scheme data, physical therapy method table, physical therapy indication table; providing basic data of the physical therapy method for the physical therapy suggestion module.
The proposal recommending module comprises: a physiotherapy plan suggestion processing unit and a user medical history database;
the physical therapy method table comprises the following steps: physical therapy name, physical therapy cycle, physical therapy time, required equipment and cost, physical therapy convenience;
the physical therapy indications table includes: the diseases adapted by different physical therapy methods;
the physical therapy scheme data index is an index established for a physical therapy scheme table and a physical therapy indication table; the reference of a graph neural network recommendation algorithm model is facilitated;
the user medical history database includes: historical electronic medical records, treatment results;
the physical therapy suggestion module collects a text chief complaint obtained by converting user description voice information or character information through a voice recognition sub-module and a character input sub-module of the mobile medical terminal, and preliminarily obtains the disease information of the user;
the physical therapy proposal suggestion processing unit obtains N physical therapy suggestion schemes according to the appeal content, the user medical history database and the physical therapy method knowledge base; the physical therapy proposal suggestion processing unit uses a graph neural network recommendation algorithm and a universal characteristic-based recommendation method LibFM, and takes a physical therapy method knowledge base and user disease information as the input of the recommendation algorithm.
In this embodiment, the physiotherapy plan suggests that the processing unit train the FM model in a training data set (-train) and a verification data set (-test) to improve the efficiency and accuracy of the physiotherapy service. The FM model is based on the user's usual preference and sportThe method can preferentially recommend physical therapy modes which are possibly liked by a user for the user, establish a usable physical therapy scheme set, quantify the attributes (mainly comprising required cost, physical therapy time and physical therapy convenience) of elements in the set in a numerical mode, and the system obtains the optimal physical therapy scheme by taking intersection of the given set and the required expression given by the user. For example, a user who suffers from rheumatoid diseases for a long time hopes to improve symptoms by physical therapy on weekdays, and a medical baking lamp u is a recommended method for a rheumatoid system1Acupuncture and moxibustion therapy u2Infrared ray physiotherapy u3Warm water bath method u4Sun drying method u5And the like, and simultaneously the system takes the attribute of the physical therapy method as a recommended sorting influence factor, wherein the size of the influence on the patient is represented by:, as shown in table 1;
TABLE 1 Attribute distribution Table for Physiotherapy
| Name of physical therapy | Cost of | Pain feeling of physiotherapy | Time of physical therapy | Degree of convenience in physical therapy |
| Medical baking lamp u1 | ★★★ | ★★ | ★★ | ★★★ |
| Acupuncture and moxibustion therapy u2 | ★★★★ | ★★★★ | ★ | ★ |
| Infrared ray physiotherapy u3 | ★★★★★ | ★★ | ★ | ★★ |
| Warm water bath method u4 | ★ | ★ | ★★★★★ | ★★★★★ |
| Sun drying method u5 | ★ | ★ | ★★★★★ | ★★★★★ |
System recommendation scheme R ═ u1∪u2∪u3∪u4∪u5And simultaneously, the user is preferentially recommended according to the physical therapy scheme attribute table and the personal preference of the user.
The medical guidance module comprises: the system comprises a medical knowledge base, a recommendation module and a positioning module;
the medical knowledge base comprises: the system comprises a hospital introduction, physician resource and consulting room information, consulting room evaluation information, a disease symptom set table and a common disease and consulting room corresponding table;
the hospital profile includes: hospital name, hospital scale, hospital features;
physician resources and office information include: the number and name of high-grade called doctors in the hospital, the consulting room where the doctors are located, the outpatient departments corresponding to the doctors and the personal brief introduction of the doctors;
the consulting room evaluation information includes: the patient's rate of evaluation in the consulting room and the prize information in the consulting room;
the disease symptom set table comprises clinical symptom set tables of various common diseases, and each disease corresponds to one symptom set;
the common disease and diagnosis and treatment room correspondence table comprises diagnosis and treatment room names which should be selected by common diseases;
the recommendation module comprises: the intelligent fuzzy processing unit and the hospitalizing sequencing processing unit;
the intelligent fuzzy processing unit matches the appeal content of the user with a disease symptom set table and a common disease and diagnosis and treatment room corresponding table. And after receiving the symptom keywords, the recommendation module judges the department of the consulting room which the user needs to visit by using a calculation intelligent fuzzy set algorithm according to the medical knowledge base. A block diagram of the medical knowledge base is shown in fig. 3. The specific content is that the system stores corresponding symptoms or body parts in a set form in advance, for example, keywords which can appear in dermatology department { R } are hair loss { Za }, face allergy { Zb }, whelk { Zc }, skin { Zd }, vitiligo { Ze }, and other keyword information, namely, R ═ Za, Zb, Zc, Zd, Ze..
The hospitalizing sequencing processing unit sequences the consulting rooms of target users of different hospitals according to the hospital introduction, the physician resource and consulting room information and the consulting room evaluation information, when sequencing of the hospitals is recommended, a high-ranking list of the finally recommended hospitals is obtained by a multi-factor proportional sequencing method, and a specific calculation formula is the weighted sum of the score of each influence factor and the proportion of the influence factor:
introduction to hospital: a isiThe weighted ratio is idf1；
Physician resources and consulting room information: biThe weighted ratio is idf2；
Information of a hospital incoming and outgoing people flow schedule: c. CiThe weighted ratio is idf3；
Evaluation list information of hospital visitors: diThe weighted ratio is idf4；
Hospital-user distance information: e.g. of the typeiThe weighted ratio is idf5；
Obtaining the final hospital grade name Res ═ ai×idf1+bi×idf2+ci×idf3+di×idf4+ei×idf5So as to obtain a hospital sequencing result;
the positioning module acquires the corresponding medical service institution position in the range of the location of the user according to the hospital sequencing result and provides the position for the user;
the intelligence medical kit includes: the system comprises a medicine database, a medicine information acquisition unit, a medicine storage unit, a medicine shortage reminding unit, a medicine taking reminding unit and a voice unit; but the automatic identification medicine of intelligence medical kit holds the medicine in the check and acquires relevant information, sends the warning of taking medicine, compares medicine information and the required medicine of patient and gives required medicine when taking medicine, has avoided the condition that patient took the medicine by mistake, and pronunciation are reminded and also can remind the user to take medicine.
The drug database is used for storing drug information of various drugs acquired by the drug information acquisition module, and the drug information at least comprises: the name of the medicine, the taking time and the taking dosage;
a plurality of medicine storage lattices with different sizes and specifications are arranged in the medicine storage unit and are used for storing different medicines; a gravity sensor is arranged in the medicine storage grid;
the medicine information acquisition unit acquires the medicine information in the medicine storage grid by scanning a medicine bar code/two-dimensional code/magnetic stripe/character;
the medicine shortage reminding unit judges whether medicine is in shortage or not according to the information collected by the gravity sensor, so that a prompt is sent out through the voice unit;
after medicine information acquisition unit acquires each medicine and holds room check medicine information, compare with the required medicine information of patient, if this medicine corresponds gravity inductor and shows no gravity, then export and lack the medicine and remind.
The medicine taking reminding unit matches corresponding medicines in the medicine storage grid according to the appeal content and the medicine information, if a matching result is obtained, timing is carried out according to the medicine taking time in the medicine information, when the medicine taking time is reached, reminding is sent through the voice unit, and if a matching result is not obtained, medicine shortage reminding is sent.
In this embodiment, a medical physiotherapy recommendation method based on an intelligent medicine box is performed according to the following steps:
step 1, establishing a physical therapy method knowledge base, a user medical history database, a medical knowledge base and a medicine database;
the knowledge base of the physical therapy method comprises: index of physical therapy scheme data, physical therapy method table, physical therapy indication table;
the physical therapy method table comprises the following steps: physical therapy name, physical therapy cycle, physical therapy time, required equipment and cost, physical therapy convenience;
the physical therapy indications table includes: the diseases adapted by different physical therapy methods;
the physical therapy scheme data index is an index established for a physical therapy scheme table and a physical therapy indication table;
the user medical history database includes: historical electronic medical records, treatment results;
the medical knowledge base comprises: the system comprises a hospital introduction, physician resource and consulting room information, consulting room evaluation information, a disease symptom set table and a common disease and consulting room corresponding table;
the hospital profile includes: hospital name, hospital scale, hospital features;
physician resources and office information include: the number and name of high-grade called doctors in the hospital, the consulting room where the doctors are located, the outpatient departments corresponding to the doctors and the personal brief introduction of the doctors;
the consulting room evaluation information includes: the patient's rate of evaluation in the consulting room and the prize information in the consulting room;
the disease symptom set table comprises clinical symptom set tables of various common diseases, and each disease corresponds to one symptom set;
the common disease and diagnosis and treatment room correspondence table comprises diagnosis and treatment room names which should be selected by common diseases;
the drug information base is used for storing drug information of various drugs, and the drug information at least comprises the following components: the name of the medicine, the taking time and the taking dosage;
step 2, acquiring a voice main complaint of a user and converting the voice main complaint into a text main complaint, or directly acquiring the text main complaint, extracting a functional keyword of the text main complaint, judging whether the functional keyword is a physiotherapy suggestion, and if so, executing step 3; otherwise, judging whether the appeal content is a medical guide, if so, executing the step 4 to the step 6; otherwise, judging whether the appeal content is the medicine demand, if so, executing the step 7 to the step 10; otherwise, quitting the flow;
step 3, extracting symptom keywords according to the appeal content, matching the symptom keywords with a user medical history database, and matching the obtained matching result with a physiotherapy method knowledge base to obtain N physiotherapy suggestion schemes to provide for the user;
for example, when a user inputs 'works for a long time before a computer today and feels uncomfortable about the neck' through voice, the system converts the word information into character information, extracts symptom keywords 'neck' and 'uncomfortable', and finds a 'cervical vertebra discomfort' item in a user medical history database; the physical therapy proposal suggestion processing unit combines the physical therapy method knowledge base with the user symptom keywords to construct a multilateral knowledge map, and the structure of the physical therapy method knowledge base is shown in figure 2. The knowledge graph obtains N suggested physiotherapy scheme results through iterative propagation.
Step 4, extracting symptom keywords according to the appeal content, and matching the symptom keywords with a disease symptom set table and a common disease and diagnosis and treatment room corresponding table to obtain user target diagnosis rooms of different hospitals; for example, the user tells the system in speech form that he is now "swallowing a mouth, throat and having a cough, body fever, tremor all over the body, and limb weakness". The system should extract keywords of the user, obtain a Boolean expression as 'symptom ═ throat pain + cough + fever + limb weakness', match the obtained Boolean expression with a disease symptom set table in a medical knowledge base, and determine that the target diagnosis room of the user is a fever diagnosis room.
Step 5, sorting the consulting rooms of the target users of different hospitals according to the hospital brief introduction, the doctor resource and consulting room information and the consulting room evaluation information to obtain hospital sorting results; if the target consulting room is a fever consulting room, the system determines the hospital set containing the fever consulting room from the target consulting room, and intelligently sorts the hospitals according to the hospital brief introduction, the doctor resources, the consulting room information and the consulting room evaluation information
Step 6, acquiring the corresponding medical service institution position in the range of the location of the user according to the hospital sequencing result and providing the position for the user;
and 7: a plurality of medicine storage lattices with different sizes and specifications are arranged in the intelligent medicine box and are used for storing different medicines; a gravity sensor is arranged in the medicine storage grid;
and 8: the intelligent medicine box obtains medicine information in the medicine storage grid by scanning the medicine bar code/two-dimensional code/magnetic stripe/characters;
step 9, the intelligent medicine box judges whether the medicine is lacked according to the information collected by the gravity sensor, and then prompts are sent out through a voice unit;
step 10, the intelligent medicine box matches corresponding medicines in the medicine storage grids according to the appeal content and the medicine information, if a matching result is obtained, timing is carried out according to the medicine taking time in the medicine information, when the medicine taking time is reached, a prompt is sent through a voice unit, and if a matching result is not obtained, a medicine shortage prompt is sent
For example, if the patient suffers from hypertension, the patient can input a desired pressure-reducing medicine into the medicine box. The medicine information acquisition unit can discern the medicine in each medicine accommodation chamber, compares medicine database and identification result to judge what kind of medicine is in the medicine accommodation chamber. The patient can also directly and manually input the typical symptoms of the patient or the commonly used medicine name, and the manually input result is directly compared with the medicine library, so that the medicine which is most needed to be taken by the patient is found. If the comparison result does not show the name of the antihypertensive drug required by the patient, the antihypertensive drug with other names is searched as a substitute, and if the comparison result does not show any type of antihypertensive drug, the drug lack reminding unit immediately controls the voice unit to send out a reminding to inform the patient that the antihypertensive drug is lacked. If the comparison result contains the hypotensor required by the patient, the timer controls the medicine taking reminding unit to remind the patient according to the preset medicine taking time (such as 8 am, 12 am and 17 pm) of the patient, and the patient is informed to take the medicine on time.
Claims (2)
1. The utility model provides a medical treatment physiotherapy recommendation system based on intelligent medical kit which characterized in that includes: the system comprises a mobile medical terminal and a medical physiotherapy service module;
the mobile medical terminal includes: the voice recognition module, the character input module and the information diversion module;
the medical physiotherapy service module includes: a physiotherapy suggestion module, a medical guidance module and an intelligent medicine chest;
the voice recognition module is used for acquiring a voice main complaint of a user, converting the voice main complaint into a text main complaint and providing the text main complaint to the information diversion module;
the character input module is used for manually inputting a text chief complaint and then providing the text chief complaint to the information diversion module;
the information flow guiding module is used for identifying the text complaint and sending the complaint to the calling medical physiotherapy service module after the complaint content is obtained;
the physical therapy suggestion module includes: a knowledge base of physical therapy methods and a scheme recommendation module;
the knowledge base of the physical therapy method comprises the following steps: index of physical therapy scheme data, physical therapy method table, physical therapy indication table;
the scheme recommendation module comprises: a physiotherapy plan suggestion processing unit and a user medical history database;
the physical therapy method table comprises the following steps: physical therapy name, physical therapy cycle, physical therapy time, required equipment and cost, physical therapy convenience;
the physical therapy indication table comprises: the diseases adapted by different physical therapy methods;
the physical therapy scheme data index is an index established for the physical therapy scheme table and the physical therapy indication table;
the user medical history database includes: historical electronic medical records, treatment results;
the physical therapy proposal suggestion processing unit obtains N physical therapy proposal suggestions according to the complaint content, the user medical history database and the physical therapy method knowledge base;
the medical guidance module comprises: the system comprises a medical knowledge base, a recommendation module and a positioning module;
the medical knowledge base includes: the system comprises a hospital introduction, physician resource and consulting room information, consulting room evaluation information, a disease symptom set table and a common disease and consulting room corresponding table;
the hospital profile comprises: hospital name, hospital scale, hospital features;
the physician resources and office information include: the number and name of high-grade called doctors in the hospital, the consulting room where the doctors are located, the outpatient departments corresponding to the doctors and the personal brief introduction of the doctors;
the consulting room evaluation information includes: the patient's rate of evaluation in the consulting room and the prize information in the consulting room;
the disease symptom set table comprises clinical symptom set tables of various common diseases, and each disease corresponds to one symptom set;
the common disease and diagnosis and treatment room correspondence table comprises diagnosis and treatment room names which should be selected by common diseases;
the recommendation module comprises: the intelligent fuzzy processing unit and the hospitalizing sequencing processing unit;
the intelligent fuzzy processing unit matches the appeal content of the user with a disease symptom set table and a common disease and diagnosis and treatment room corresponding table to obtain user target diagnosis rooms of different hospitals;
the hospitalizing sequencing processing unit sequences the consulting rooms of the target users of different hospitals according to the hospital brief introduction, the doctor resource and consulting room information and the consulting room evaluation information to obtain hospital sequencing results;
the positioning module acquires the corresponding medical service institution position in the range of the location of the user according to the hospital sequencing result and provides the position for the user;
the intelligent medicine chest includes: the system comprises a medicine database, a medicine information acquisition unit, a medicine storage unit, a medicine shortage reminding unit, a medicine taking reminding unit and a voice unit;
the drug database is used for storing drug information of various drugs acquired by the drug information acquisition module, and the drug information at least comprises: the name of the medicine, the taking time and the taking dosage;
a plurality of medicine storage lattices with different sizes and specifications are arranged in the medicine storage unit and are used for storing different medicines; a gravity sensor is arranged in the medicine storage grid;
the medicine information acquisition unit acquires the medicine information in the medicine storage grid by scanning a medicine bar code/two-dimensional code/magnetic stripe/character;
the medicine shortage reminding unit judges whether medicine is in shortage or not according to the information collected by the gravity sensor, so that a prompt is sent out through a voice unit;
the medicine taking reminding unit matches corresponding medicines in the medicine storage grid according to the appeal content and the medicine information, if a matching result is obtained, timing is carried out according to the medicine taking time in the medicine information, when the medicine taking time is reached, reminding is sent through the voice unit, and if a matching result is not obtained, medicine shortage reminding is sent.
2. A medical physiotherapy recommending method based on an intelligent medicine chest is characterized by comprising the following steps:
step 1, establishing a physical therapy method knowledge base, a user medical history database, a medical knowledge base and a medicine database;
the knowledge base of the physical therapy method comprises the following steps: index of physical therapy scheme data, physical therapy method table, physical therapy indication table;
the physical therapy method table comprises the following steps: physical therapy name, physical therapy cycle, physical therapy time, required equipment and cost, physical therapy convenience;
the physical therapy indication table comprises: the diseases adapted by different physical therapy methods;
the physical therapy scheme data index is an index established for the physical therapy scheme table and the physical therapy indication table;
the user medical history database includes: historical electronic medical records, treatment results;
the medical knowledge base includes: the system comprises a hospital introduction, physician resource and consulting room information, consulting room evaluation information, a disease symptom set table and a common disease and consulting room corresponding table;
the hospital profile comprises: hospital name, hospital scale, hospital features;
the physician resources and office information include: the number and name of high-grade called doctors in the hospital, the consulting room where the doctors are located, the outpatient departments corresponding to the doctors and the personal brief introduction of the doctors;
the consulting room evaluation information includes: the patient's rate of evaluation in the consulting room and the prize information in the consulting room;
the disease symptom set table comprises clinical symptom set tables of various common diseases, and each disease corresponds to one symptom set;
the common disease and diagnosis and treatment room correspondence table comprises diagnosis and treatment room names which should be selected by common diseases;
the drug information base is used for storing drug information of various drugs, and the drug information at least comprises: the name of the medicine, the taking time and the taking dosage;
step 2, acquiring a voice main complaint of a user and converting the voice main complaint into a text main complaint, or directly acquiring the text main complaint, extracting a functional keyword of the text main complaint, judging whether the functional keyword is a physiotherapy suggestion, and if so, executing step 3; otherwise, judging whether the appeal content is a medical guide, if so, executing the step 4 to the step 6; otherwise, judging whether the appeal content is the medicine demand, if so, executing the step 7 to the step 10; otherwise, quitting the flow;
step 3, extracting symptom keywords according to the appeal content, matching the symptom keywords with a user medical history database, and matching the obtained matching result with a physical therapy method knowledge base to obtain N physical therapy suggestion schemes for the user;
step 4, extracting symptom keywords according to the appeal content, and matching the symptom keywords with a disease symptom set table and a common disease and diagnosis and treatment room corresponding table to obtain user target diagnosis rooms of different hospitals;
step 5, sorting the consulting rooms of the target users of different hospitals according to the hospital brief introduction, the doctor resource and consulting room information and the consulting room evaluation information to obtain hospital sorting results;
step 6, acquiring the corresponding medical service institution position in the range of the location of the user according to the hospital sequencing result and providing the position for the user;
and 7: a plurality of medicine storage grids with different sizes and specifications are arranged in the intelligent medicine box and used for storing different medicines; a gravity sensor is arranged in the medicine storage grid;
and 8: the intelligent medicine box obtains medicine information in the medicine storage grid by scanning a medicine bar code/two-dimensional code/magnetic stripe/character;
step 9, the intelligent medicine box judges whether the medicine is lacked according to the information collected by the gravity sensor, so that a prompt is sent out through a voice unit;
and step 10, the intelligent medicine box matches corresponding medicines in the medicine storage grids according to the appeal content and the medicine information, if a matching result is obtained, timing is carried out according to the medicine taking time in the medicine information, when the medicine taking time is reached, a prompt is sent through the voice unit, and if a matching result is not obtained, a medicine shortage prompt is sent.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110389832.7A CN113096764A (en) | 2021-04-12 | 2021-04-12 | Medical physiotherapy recommendation system and method based on intelligent medicine chest |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110389832.7A CN113096764A (en) | 2021-04-12 | 2021-04-12 | Medical physiotherapy recommendation system and method based on intelligent medicine chest |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113096764A true CN113096764A (en) | 2021-07-09 |
Family
ID=76676249
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110389832.7A Pending CN113096764A (en) | 2021-04-12 | 2021-04-12 | Medical physiotherapy recommendation system and method based on intelligent medicine chest |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113096764A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115292610A (en) * | 2022-09-28 | 2022-11-04 | 北京小成素问信息技术有限公司 | Intelligent diagnosis and treatment system based on big data analysis |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105054897A (en) * | 2015-07-21 | 2015-11-18 | 尹高斌 | Multi-combined-type traditional Chinese medicine electronic diagnosis and treatment method and system |
| CN106557653A (en) * | 2016-11-15 | 2017-04-05 | 合肥工业大学 | A kind of portable medical intelligent medical guide system and method |
| WO2017149530A1 (en) * | 2016-02-29 | 2017-09-08 | Mor Research Applications Ltd | System and method for selecting optimal medications for a specific patient |
| 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 |
| CN110731904A (en) * | 2019-10-21 | 2020-01-31 | 莆田市烛火信息技术有限公司 | medicine taking reminding method and device based on intelligent medicine chest |
| CN112331298A (en) * | 2020-11-13 | 2021-02-05 | 微医云(杭州)控股有限公司 | Method and device for issuing prescription, electronic equipment and storage medium |
| CN112614565A (en) * | 2020-12-04 | 2021-04-06 | 杨茜 | Traditional Chinese medicine classic famous prescription intelligent recommendation method based on knowledge-graph technology |
-
2021
- 2021-04-12 CN CN202110389832.7A patent/CN113096764A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105054897A (en) * | 2015-07-21 | 2015-11-18 | 尹高斌 | Multi-combined-type traditional Chinese medicine electronic diagnosis and treatment method and system |
| WO2017149530A1 (en) * | 2016-02-29 | 2017-09-08 | Mor Research Applications Ltd | System and method for selecting optimal medications for a specific patient |
| CN106557653A (en) * | 2016-11-15 | 2017-04-05 | 合肥工业大学 | A kind of portable medical intelligent medical guide system and method |
| 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 |
| CN110731904A (en) * | 2019-10-21 | 2020-01-31 | 莆田市烛火信息技术有限公司 | medicine taking reminding method and device based on intelligent medicine chest |
| CN112331298A (en) * | 2020-11-13 | 2021-02-05 | 微医云(杭州)控股有限公司 | Method and device for issuing prescription, electronic equipment and storage medium |
| CN112614565A (en) * | 2020-12-04 | 2021-04-06 | 杨茜 | Traditional Chinese medicine classic famous prescription intelligent recommendation method based on knowledge-graph technology |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115292610A (en) * | 2022-09-28 | 2022-11-04 | 北京小成素问信息技术有限公司 | Intelligent diagnosis and treatment system based on big data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107004242B (en) | Mobile communication terminal-based life guide method, mobile communication terminal, and computer-readable recording medium recording the method | |
| CN106529182A (en) | Cloud hospital | |
| CN107066814A (en) | A kind of traditional Chinese medical science intelligent auxiliary diagnosis system cooperateed with based on the four methods of diagnosis | |
| CN106251865A (en) | A kind of medical treatment & health record Auto-writing method based on speech recognition | |
| CN102156812A (en) | Hospital decision-making aiding method based on symptom similarity analysis | |
| CN108877921A (en) | Medical intelligent diagnosis method and medical intelligent diagnosis system | |
| CN108281195A (en) | A kind of management method and system of medical data | |
| WO2018218789A1 (en) | Health management system and method for preventative treatment of disease using traditional chinese medicine | |
| CN110584601B (en) | Old man cognitive function monitoring and evaluation system | |
| CN102184314A (en) | Deviation symptom description-oriented automatic computer-aided diagnosis method | |
| CN102222153A (en) | Quantitative dialectical diagnostic method for Chinese medicine machine interrogation | |
| CN110010247B (en) | Personalized physical health terminal service system based on artificial intelligence | |
| CN103111006A (en) | Intelligent mood adjustment instrument | |
| CN109659017A (en) | A kind of intelligent medical treatment system predicted, distribute physician visits amount | |
| CN107480135B (en) | Data processing method, medical phrase processing system and medical diagnosis and treatment system | |
| CN113168919A (en) | System for performing health analysis by using personalized indexes and using method thereof | |
| CN112164477A (en) | Intelligent question-answering system for hypertension patient based on knowledge graph and establishing method thereof | |
| CN114974613A (en) | Disease management method and device, computer storage medium and electronic equipment | |
| CN109003663A (en) | A kind of medical treatment full range intelligent Service method and system | |
| TW201040756A (en) | Chinese medicine intelligent formulary system | |
| CN115376648A (en) | Intelligent prescription generating device and intelligent prescription generating system | |
| CN113096764A (en) | Medical physiotherapy recommendation system and method based on intelligent medicine chest | |
| CN110706820A (en) | Old people health service virtual community system based on big data technology | |
| US20220293238A1 (en) | Proposal system, proposal method, and program | |
| CN106951688B (en) | A kind of dialectical system of Chinese medicine four methods of diagnosis parting |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210709 |