CN115223699A - Traditional Chinese medicine clinical auxiliary diagnosis and treatment system and working method thereof - Google Patents
Traditional Chinese medicine clinical auxiliary diagnosis and treatment system and working method thereof Download PDFInfo
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- CN115223699A CN115223699A CN202210559031.5A CN202210559031A CN115223699A CN 115223699 A CN115223699 A CN 115223699A CN 202210559031 A CN202210559031 A CN 202210559031A CN 115223699 A CN115223699 A CN 115223699A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- 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
- G16H40/60—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 operation of medical equipment or devices
- G16H40/67—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 operation of medical equipment or devices for remote operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- 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
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Abstract
The invention aims to provide a traditional Chinese medicine clinical auxiliary diagnosis and treatment system and a working method thereof. The technical scheme of the invention is as follows: the system comprises a user mechanism, a cloud server, a consultation mechanism and a diagnosis and treatment mechanism, wherein the user mechanism consists of a first terminal, a second terminal and a third terminal; the whole system is interconnected with hospitals through various institutions, units and families to form an inquiry mechanism, the inquiry terminal with different functional attributes is matched to complete the inspection, auscultation, inquiry and diagnosis of patients, the combination of model dialectics and expert dialectics is realized, and the system has the functions of selecting symptoms, syndrome types and supplementing symptoms, so that the traditional Chinese medicine diagnosis and treatment is more intelligent, the purpose of diagnosis and treatment optimization is achieved, the limitation of clinical knowledge is effectively solved, the negligence of people is reduced, the medical cost is reduced, and the medical quality is improved.
Description
Technical Field
The invention relates to the field of intelligent medical treatment, in particular to a traditional Chinese medicine clinical auxiliary diagnosis and treatment system and a working method thereof.
Background
At present, with the change of computer technology, the selection method, technology, tool and equipment are required to ensure not only the advancement but also the correctness of the technical direction. The designed scheme is combined with the purposes of practicability and future development, and the internationally mature, mainstream and leading products and technologies are selected to adapt to higher data processing requirements no matter in the aspects of software and hardware products such as servers, software, middleware and the like, or in the aspects of methodology and tools, so that the design is an inevitable trend for seeing doctors and seeing doctors in the future; therefore, various institutions, units, families and hospitals need to be interconnected to form a systematic inquiry and treatment mechanism, so that interactive operation of traditional Chinese medicine clinical treatment is realized, interaction between doctors and patients is realized, the doctors and the experts can realize inspection, auscultation, inquiry and treatment of the patients on line, and meanwhile, a matched sample database is produced, so that the purpose of traditional Chinese medicine diagnosis is achieved, the offline website treatment function is realized, the patients can complete man-machine interactive operation of symptom treatment under the assistance of operating personnel with a medical background, the limitation of clinical knowledge is effectively solved and improved, the human negligence of early warning is reduced or pre-warned, the medical cost is relatively reduced, and the medical quality is improved.
Disclosure of Invention
The invention aims to provide a traditional Chinese medicine clinical diagnosis system for patients, which forms an inquiry mechanism by establishing interconnection among various mechanisms, units, families and hospitals, utilizes a mobile phone, a desktop computer and a notebook computer as access terminals inside the mechanism units, realizes interaction with diagnosis and treatment terminal equipment inside the hospitals, is matched with inquiry terminals with different functional attributes to finish the inspection, auscultation, inquiry and diagnosis of the patients, can establish semi-structured decision between computer system application and medical staff, realizes the combination of model dialectics and expert dialectics, has the functions of selecting symptoms, syndrome types and supplementing symptoms, finally obtains a diagnosis result by reasoning and predicting, and can feed back and store the information of the diagnosis result, thereby establishing a more comprehensive sample database, leading the traditional Chinese medicine diagnosis and treatment to be more intelligent, achieving the purpose of optimizing the diagnosis and treatment, effectively solving the limitation of clinical knowledge, reducing or artificially warning negligence, relatively reducing medical expenses and improving the medical quality, and a working method thereof.
The technical scheme of the invention is as follows: a traditional Chinese medicine clinical auxiliary diagnosis and treatment system and a working method thereof are characterized in that: the system comprises a user mechanism, a cloud server, a diagnosis and treatment mechanism and a diagnosis and treatment mechanism, wherein the user mechanism is located at the upper stage of the cloud server, the user mechanism is connected with the cloud server, the user mechanism is composed of a first terminal, a second terminal and a third terminal, the first terminal, the second terminal and the third terminal are all connected with the cloud server through wireless network signals or lines, the diagnosis and treatment mechanism is located at the upper stage of the cloud server, the diagnosis and treatment mechanism is connected with the cloud server, the diagnosis and treatment mechanism is composed of a first diagnosis and treatment terminal, a second diagnosis and treatment terminal, a third diagnosis and treatment terminal and a fourth diagnosis and treatment terminal, the first diagnosis and treatment terminal, the second diagnosis and treatment terminal, the third diagnosis and treatment terminal and the fourth diagnosis and treatment terminal are all connected with the cloud server through lines, the diagnosis and treatment mechanism is located at the lower stage of the cloud server, the diagnosis and treatment mechanism is composed of an intermediate machine, a switch and a treatment terminal, the intermediate machine is located at the lower stage of the cloud server, the intermediate machine is connected with the switch, the switch is located at the lower stage of the cloud server, the intermediate machine is connected with the switch, and the switch is connected with the lower stage of the cloud server through the line, and the intermediate switch, the switch, and the switch are connected with the diagnosis and the switch.
Further, the first terminals are a plurality of mobile phones.
Further, the second terminal and the diagnosis and treatment terminal are all a plurality of desktop computers.
Further, the third terminal is a plurality of notebook computers.
Further, the first consultation terminal is a camera.
Further, the second consultation terminal is an acoustic-electric sensor.
Further, the third consultation terminal is an electronic nose.
Furthermore, the fourth consultation terminal is a computer pulse instrument.
Further, the intermediate computer is a desktop computer.
The working method comprises the following steps:
1. and (3) registering binding: the patient can go to visit the clinical auxiliary decision-making system of traditional chinese medicine in the high in the clouds server through arbitrary one terminal equipment in the user mechanism, carry out the registration of typing in of identity, the user mechanism can be applied to all kinds of mechanisms, unit or family, it includes first terminal, second terminal and third terminal, first terminal adopts a plurality of cell-phones, the second terminal adopts a plurality of desktop computers, the third terminal adopts a plurality of notebook computers, all can visit the clinical auxiliary decision-making system of traditional chinese medicine in the high in the clouds server, treat that identity information types the back, can also simply describe the pathological condition of self, diagnosis database in the system will be activated, and establish the sample database that accords with this patient's pathology, realize that the individual binds.
2. And (3) diagnosis of disease conditions: after the registration of the patient is finished, logging in the system and entering a diagnosis level; the system inquires whether fuzzy diagnosis is needed, if the fuzzy diagnosis is yes, the patient selects symptoms in sequence, selects the disease name and the syndrome type, and supplements the symptoms, and inquires whether to reselect the disease name and the syndrome type, if the disease name and the syndrome type are reselected, the system returns to the selection of the symptoms, and reselects the disease name and the syndrome type and supplements the symptoms, if the disease name and the syndrome type are reselected, the cloud server sends the diagnosis result to the user mechanism, matches the corresponding first terminal, second terminal and third terminal, provides display of the diagnosis result for the patient, after the patient receives the diagnosis result, the system inquires whether diagnosis information is added, if the diagnosis information is added, the patient needs to add the diagnosis information, and if the diagnosis information is added, the diagnosis is finished; if the fuzzy diagnosis is negative, the patient selects the disease name, selects the symptom, selects the syndrome type and supplements the symptom in sequence, the cloud server sends the diagnosis result to the user mechanism, matches the corresponding first terminal, second terminal and third terminal to display the diagnosis result for the patient, after the patient receives the diagnosis result, the system inquires whether to add the diagnosis information, if yes, the patient needs to add the diagnosis information, and if not, the diagnosis is finished.
3. Selecting symptoms: in the process of disease condition diagnosis, an operation link of which the selected symptom is finished by a diagnosis inquiring mechanism is formed by a first diagnosis inquiring terminal, a second diagnosis inquiring terminal, a third diagnosis inquiring terminal and a fourth diagnosis inquiring terminal, the diagnosis inquiring mechanism is matched with the diagnosis and treatment mechanism for use, the diagnosis and treatment terminal in the diagnosis and treatment mechanism can access a traditional Chinese medicine clinical auxiliary decision making system in a cloud server, the diagnosis and treatment terminal also adopts a plurality of desktop computers, and the diagnosis and treatment terminal is operated by the authority of a doctor, so that interaction can be realized for a user mechanism at the other port of the cloud server, and the doctor can conveniently access a patient; the first consultation terminal adopts a camera and has a high-definition camera function, so that doctors and specialists of the diagnosis and treatment terminal can conveniently acquire and observe images of spirit, complexion, shape, head, neck, five sense organs, skin, two yin, tongue and discharge of a patient to be used for diagnosis and judgment; the second consultation terminal adopts an acoustic-electric sensor, so that a doctor expert of the diagnosis and treatment terminal can conveniently collect the voice of a patient, the third consultation terminal adopts an electronic nose, so that a doctor expert user of the diagnosis and treatment terminal can conveniently collect the smell of the patient, and the second consultation terminal and the third consultation terminal can be mutually matched for use or can be used as independent equipment to be used independently for judgment by auscultation; through user mechanism, high in the clouds server, inquiry mechanism, the whole framework of mechanism of diagnosing to form the interdynamic of doctor-patient's network, realize doctor's expert and patient's front visit, if: general interrogation, present symptoms, include: cold and heat, sweating, pain, ears and eyes, sleep, diet and taste, defecation and special sensation are used as inquiry judgment; the fourth consultation terminal adopts a computer pulse instrument, so that doctors and specialists of the diagnosis and treatment terminal can conveniently acquire information of the pulse condition of the patient, such as the floating, deep, slow, thin, deficient and excessive, long and short, and tense pulse, and the information is used for diagnosis and judgment; the electronic nose adopted by the third consultation terminal and the computer pulse instrument adopted by the fourth consultation terminal are used in the diagnosis and treatment institution for clinical diagnosis of patients, and the patients in the user institution are clinically diagnosed by the camera of the first consultation terminal and the acoustic-electric sensor of the second consultation terminal serving as interactive equipment; thereby completing the selection of symptoms for the patient. If the symptoms are too complicated, a patient in a user mechanism needs to input the symptoms by himself, after the input is finished, the traditional Chinese medicine clinical assistant decision system in the cloud server automatically searches, the system lists the searched symptoms according to the database and the keywords and displays whether the symptoms exist, if the symptoms are not complete, other symptoms need to be added continuously, and the completeness and the comprehensiveness of the symptoms are guaranteed.
4. Selecting syndrome types: in the process of disease condition diagnosis, syndrome type selection is an operation link completed by mutual cooperation of a user mechanism, a cloud server, a consultation mechanism and a diagnosis and treatment mechanism and is divided into five categories of eight-principle dialectics, qi-blood and body fluid dialectics, viscera dialectics, six-meridian dialectics and other dialectics, wherein the eight-principle dialectics are embodied as yin-yang exterior-interior cold-heat deficiency and excess; qi, blood and body fluids are manifested as qi diseases including qi deficiency and qi stagnation; blood deficiency and blood heat; qi and blood disorders including qi deficiency and blood stasis; the zang-fu organs are manifested as liver, heart, spleen, lung, kidney, gallbladder, stomach, small intestine, large intestine, bladder and triple energizer; the six meridians are manifested as yang apoplexy and yang cold injury; other dialectics are: wei-defensive qi, ying-nutritive blood, triple warmer and meridians; the patients in the user mechanism can list the possibility index of each syndrome type according to the conditions of the patients, the patients in the user mechanism can select the pathological syndrome type according to the requirements of the patients, and the pathological syndrome type can be selected under the guidance of a doctor expert in a diagnosis and treatment terminal corresponding to the diagnosis and treatment mechanism.
5. And (3) supplementing symptoms: in the process of disease condition diagnosis, the symptom supplementation is an operation link completed by the mutual cooperation of the user mechanism, the cloud server, the inquiry mechanism and the diagnosis and treatment mechanism, when the symptom supplementation operation is performed, missing symptoms of the system need to be filled in, and if the missing symptoms of the system are not met, the operation needs to be performed by returning to reselecting the disease name and the syndrome type; if the diagnosis result is consistent with the missing symptoms of the system, the cloud server sends the diagnosis result to the user mechanism, matches the corresponding first terminal, second terminal and third terminal, provides display of the diagnosis result for the patient, simultaneously inquires whether the patient needs treatment, if the patient selects to need treatment, the cloud server sends the treatment scheme to the user mechanism, matches the corresponding first terminal, second terminal and third terminal, provides information display of disease name, syndrome, symptom, prescription and medical advice for the patient, and provides disease-preventing and disease-preventing services for the patient to find out doctors and find out services suggested by the doctors for the patient in the user mechanism, and sends the requirements to the diagnosis terminal in the diagnosis mechanism to find out answers of doctors' specialists; if the patient chooses not to need treatment, the cloud server sends the diagnosis result to the user mechanism, the corresponding first terminal, the second terminal and the third terminal are matched, diagnosis and treatment-free display is provided for the patient, meanwhile, the patient can be provided with the disease-preventive service without disease prevention, the doctor is searched for the patient in the user mechanism, the service suggested by the doctor is searched for, and the cloud server sends the requirement to the diagnosis and treatment terminal in the diagnosis and treatment mechanism to search for the answer of the doctor expert.
6. Disease feedback: in the process of disease condition diagnosis, the disease condition feedback is an operation link completed by the mutual cooperation of a user mechanism and a cloud server, when the disease condition feedback operation is performed, whether the diagnosis information of a patient is added or not is inquired, if the diagnosis information of the patient is selected to be added, the patient in the user mechanism needs to add the disease condition diagnosis information, the disease condition diagnosis information is stored in a sample database of a traditional Chinese medicine clinical auxiliary decision making system in the cloud server so as to be convenient for a doctor expert in a diagnosis and treatment mechanism to look up, a complete case is established at the same time, and the traditional Chinese medicine clinical auxiliary decision making system in the cloud server brings the disease condition diagnosis information into the sample database of the case as a sample collection process, so that the diagnosis and treatment accuracy is improved; if the diagnostic information selected for the patient is negative, the diagnosis is ended.
The invention has the beneficial effects that: the auxiliary diagnosis and treatment system is mainly used for carrying out traditional Chinese medicine clinical diagnosis on a patient, and forms an inquiry mechanism by establishing interconnection among various mechanisms, units, families and hospitals, a mobile phone, a desktop computer and a notebook computer are used as access terminals in the mechanism units, the interaction with diagnosis and treatment terminal equipment in the hospitals is realized, the observation, diagnosis, inquiry and diagnosis of the patient are finished by matching with inquiry terminals with different functional attributes, semi-structured decision is established between computer system application and medical staff, model dialectics and expert dialectics are combined, the auxiliary diagnosis and treatment system has the functions of selecting symptoms, syndrome types and supplementing symptoms, diagnosis results are finally obtained by reasoning and predicting, and the information of the diagnosis results can be fed back and stored, so that a more comprehensive sample database is established, on-line and off-line inquiry services are provided for the patient, a cloud data health archive is established, health management, health knowledge inquiry, health plan execution and convenient and instant consultation are provided for the patient, the traditional Chinese medicine diagnosis and treatment purposes are more intelligentized, the limitation of clinical knowledge is effectively solved, the limitation of clinical knowledge is reduced, and the medical quality early warning is relatively lowered.
Drawings
Fig. 1 is a front view of the present invention.
FIG. 2 is a flowchart of the overall operational framework of the present invention.
Fig. 3 is a system schematic flow diagram of the present invention.
FIG. 4 is a diagnostic flow chart of the present invention.
FIG. 5 is a flow chart of symptom function of the present invention.
FIG. 6 is a flow chart of syndrome functions of the present invention.
FIG. 7 is a supplementary symptoms flow chart of the present invention.
FIG. 8 is a flow chart of disease feedback according to the present invention.
FIG. 9 is an overall architectural hierarchy of the present invention.
Wherein: 1. user mechanism 2, first terminal 3, second terminal
4. Third terminal 5, cloud server 6 and inquiry mechanism
7. A first consultation terminal 8, a second consultation terminal 9 and a third consultation terminal
10. Fourth consultation terminal 11, diagnosis and treatment institution 12 and intermediate machine
13. Switch 14 and diagnosis and treatment terminal
Detailed Description
The following provides a brief description of embodiments of the present invention with reference to the accompanying drawings.
As shown in fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6, fig. 7, fig. 8 and fig. 9, a system for clinical auxiliary diagnosis and treatment of chinese medicine and a working method thereof are characterized in that: the system comprises a user mechanism 1, a cloud server 5, a consultation mechanism 6 and a diagnosis and treatment mechanism 11, wherein the user mechanism 1 is located at the upper stage of the cloud server 5, the user mechanism 1 is connected with the cloud server 5, the user mechanism 1 is composed of a first terminal 2, a second terminal 3 and a third terminal 4, the first terminal 2, the second terminal 3 and the third terminal 4 are all connected with the cloud server 5 through wireless network signals or lines, the consultation mechanism 6 is located at the upper stage of the cloud server 5, the consultation mechanism 6 is connected with the cloud server 5, the consultation mechanism 6 is composed of a first consultation terminal 7, a second consultation terminal 8, a third consultation terminal 9 and a fourth consultation terminal 10, the first consultation terminal 7, the second consultation terminal 8, the third consultation terminal 9 and the fourth consultation terminal 10 are all connected with the cloud server 5 through lines, the diagnosis and treatment mechanism 11 is located at the lower stage of the cloud server 5, the diagnosis and treatment mechanism 11 is connected with the cloud server 5, the middle switch 12 is composed of the middle switch 12 and the switch 12, the switch 13 is connected with the lower switch 13, and the switch 13 is connected with the lower switch 14. The first terminal 2 is a plurality of mobile phones. The second terminal 3 and the diagnosis and treatment terminal 14 are both a plurality of desktop computers. The third terminal 4 is a plurality of notebook computers. The first consultation terminal 7 is a camera. The second interrogation terminal 8 is an acoustic-electric sensor. The third consultation terminal 9 is an electronic nose. The fourth diagnostic inquiry terminal 10 is a computer pulse instrument. The intermediary 12 is a desktop computer.
The working mode is as follows: the auxiliary diagnosis and treatment system is mainly used for carrying out traditional Chinese medicine clinical diagnosis on patients, and comprises four components, namely a user mechanism 1, a cloud server 5, a diagnosis and treatment mechanism 6 and a diagnosis and treatment mechanism 11, wherein the cloud server 5 is used for connecting the user mechanism 1, the diagnosis and treatment mechanism 6 and the diagnosis and treatment mechanism 11 together so as to form a set of complete diagnosis and treatment system, the user mechanism 1 consists of a first terminal 2, a second terminal 3 and a third terminal 4, the first terminal 2 adopts a plurality of mobile phones, the second terminal 3 adopts a plurality of desktop computers, and the third terminal 4 adopts a plurality of notebook computers and is used for system architecture in each mechanism, unit or family; the diagnosis and treatment mechanism 11 consists of an intermediate computer 12, a switch 13 and a diagnosis and treatment terminal 14, wherein the intermediate computer 12 adopts a desktop computer, the intermediate computer 12 is used for accessing an external cloud server 5, and a firewall system is arranged on the intermediate computer 12 and used for protecting the diagnosis and treatment mechanism 11 from virus attack and improving the overall use safety, the diagnosis and treatment terminal 14 also adopts a plurality of desktop computers, the diagnosis and treatment terminal 14 and the intermediate computer 12 are interconnected by using the switch 13 so that the diagnosis and treatment terminal 14 can access the cloud server 5, a traditional Chinese medicine clinical auxiliary decision system is arranged on the cloud server 5, and each hardware facility of the diagnosis and treatment mechanism 6 is connected to a decision system in the cloud server 5; the inquiry mechanism 6 is matched with the diagnosis and treatment mechanism 11 for use, the inquiry mechanism 6 consists of a first inquiry terminal 7, a second inquiry terminal 8, a third inquiry terminal 9 and a fourth inquiry terminal 10, the first inquiry terminal 7 adopts a camera, has a high-definition camera function, and is used for carrying out image acquisition and observation on the spirit, the face color, the shape, the head, the neck, the five sense organs, the skin, the second yin, the tongue and the discharge of a patient to be used as the inspection and judgment; the second diagnosis terminal 8 adopts an acoustic-electric sensor for collecting the voice of a patient, the third diagnosis terminal 9 adopts an electronic nose, the user collects the smell of the patient, and the second diagnosis terminal 8 and the third diagnosis terminal 9 are used in cooperation as auscultation judgment; through the whole framework of the user mechanism 1, the cloud server 5, the inquiry mechanism 6 and the diagnosis and treatment mechanism 11, the interaction of doctor-patient networks is formed to be used as inquiry judgment; the fourth consultation terminal 10 adopts a computer pulse instrument and is used for collecting information of the patient's pulse conditions such as floating, deep, slow, rapid, thin, deficient and excessive, long and short, and tense pulse to be used as palpation judgment; the specific use links of the whole system are as follows:
1. and (3) registration binding: the patient can go to visit the clinical auxiliary decision-making system of traditional chinese medicine in the cloud server 5 through arbitrary one terminal equipment in user mechanism 1, carry out the registration of typing in of identity, user mechanism 1 can be applied to all kinds of mechanisms, unit or family, it includes first terminal 2, second terminal 3 and third terminal 4, first terminal 2 adopts a plurality of cell-phones, second terminal 3 adopts a plurality of desktop computers, third terminal 4 adopts a plurality of notebook computers, all can visit the clinical auxiliary decision-making system of traditional chinese medicine in the cloud server 5, treat that identity information types the back, can also simply describe the pathological condition of self, diagnosis and treatment database in the system will be activated, and establish the sample database that accords with this patient's pathology, realize that the individual binds.
2. And (3) diagnosis of disease conditions: after the registration of the patient is finished, logging in the system and entering a diagnosis level; the system inquires whether fuzzy diagnosis is needed, if the fuzzy diagnosis is yes, the patient selects symptoms in sequence, selects the disease name and the syndrome type, and supplements the symptoms, and inquires whether the disease name and the syndrome type are reselected, if the disease name and the syndrome type are reselected, the cloud server 5 returns to the selection of the symptoms, and reselects the disease name and the syndrome type, and supplements the symptoms, if the disease name and the syndrome type are reselected, the cloud server 5 sends the diagnosis result to the user mechanism 1, matches the corresponding first terminal 2, second terminal 3 and third terminal 4, provides the display of the diagnosis result for the patient, after the patient receives the diagnosis result, the system inquires whether the diagnosis information is added, if the diagnosis information is added, the patient needs to add the diagnosis information, and if the diagnosis information is not added, the diagnosis is finished; if the fuzzy diagnosis is negative, the patient selects the disease name, selects the symptom, selects the syndrome type and supplements the symptom in sequence, the cloud server 5 sends the diagnosis result to the user mechanism 1, matches the corresponding first terminal 2, second terminal 3 and third terminal 4 to provide the diagnosis result for the patient to be displayed, after the patient receives the diagnosis result, the system inquires whether to add the diagnosis information, if yes, the patient needs to add the diagnosis information, and if not, the diagnosis is finished.
3. Selecting symptoms: in the process of disease diagnosis, an operation link of symptom selection is completed through a diagnosis inquiring mechanism 6, the diagnosis inquiring mechanism 6 is composed of a first diagnosis inquiring terminal 7, a second diagnosis inquiring terminal 8, a third diagnosis inquiring terminal 9 and a fourth diagnosis inquiring terminal 10, the diagnosis inquiring mechanism 6 is used together with a diagnosis and treatment mechanism 11, a diagnosis and treatment terminal 14 in the diagnosis and treatment mechanism 11 can access a traditional Chinese medicine clinical auxiliary decision making system in a cloud server 5, the diagnosis and treatment terminal 14 also adopts a plurality of desktop computers, and the diagnosis and treatment terminal 14 is operated by the authority of a doctor, so that interaction can be realized for a user mechanism 1 at the other port of the cloud server 5, and the doctor can conveniently access a patient; the first consultation terminal 7 adopts a camera and has a high-definition camera function, so that a doctor expert of the diagnosis and treatment terminal 14 can conveniently acquire and observe images of spirit, complexion, shape, head, neck, five sense organs, skin, two yin, tongue and discharge of a patient to be used as the diagnosis and treatment judgment; the second diagnosis and treatment terminal 8 adopts an acoustic-electric sensor, so that doctors of the diagnosis and treatment terminal 14 can conveniently collect the voice of patients, the third diagnosis and treatment terminal 9 adopts an electronic nose, so that the doctors of the diagnosis and treatment terminal 14 can conveniently collect the smell of the patients, and the second diagnosis and treatment terminal 8 and the third diagnosis and treatment terminal 9 can be mutually matched for use, and can also be used as independent equipment for independent use as diagnosis and judgment by sniffing; through the whole framework of user mechanism 1, cloud server 5, inquiry mechanism 6, diagnosis mechanism 11 to form doctor-patient network's interaction, realize doctor expert and patient's positive visit, if: general interrogation, present symptoms, include: cold and heat, sweating, pain, ears and eyes, sleep, diet and taste, defecation and special sensation are used as inquiry judgment; the fourth consultation terminal 10 adopts a computer pulse instrument, so that doctors and specialists of the diagnosis and treatment terminal 14 can conveniently acquire information of the patient's pulse conditions, such as deep, slow, rapid, thin, deficient and excessive, long and short, and tense pulses, and the information is used for diagnosis and judgment; the electronic nose adopted by the third consultation terminal 9 and the computer pulse instrument adopted by the fourth consultation terminal 10 are used inside the clinic institution 11 for clinical diagnosis of patients, and the patients in the user institution 1 are clinically diagnosed by the camera of the first consultation terminal 7 and the acoustic-electric sensor of the second consultation terminal 8 as interaction equipment in the user institution 1 outside the clinic institution 11; thereby completing the selection of symptoms for the patient. If the symptoms are too complicated, the patient in the user mechanism 1 needs to input the symptoms by himself, after the input is finished, the traditional Chinese medicine clinical assistant decision system in the cloud server 5 automatically searches, the system lists the searched symptoms according to the database and the keywords and displays whether the symptoms exist, and if the symptoms are not complete, other symptoms need to be added continuously to ensure the integrity and the comprehensiveness of the symptoms.
4. Selecting syndrome types: in the process of disease condition diagnosis, the syndrome type selection is an operation link finished by the mutual cooperation of the user mechanism 1, the cloud server 5, the consultation mechanism 6 and the diagnosis and treatment mechanism 11 and is divided into five categories of eight-principle dialectics, qi-blood and body fluid dialectics, viscera dialectics, six-meridian dialectics and other dialectics, wherein the eight-principle dialectics are embodied as yin-yang exterior-interior cold-heat deficiency and excess; qi, blood and body fluids are manifested as qi diseases including qi deficiency and qi stagnation; blood deficiency and blood heat; qi and blood disorders including qi deficiency and blood stasis; the zang-fu organs are manifested as liver, heart, spleen, lung, kidney, gallbladder, stomach, small intestine, large intestine, bladder and triple energizer; the six meridians are dialectically manifested as yang apoplexy and taiyang cold injury; other dialectics are: wei-defensive qi, ying-nutrient blood, triple energizer and meridians; the patient in the user mechanism 1 may list the probability index of each syndrome type according to the condition of the patient, and the patient in the user mechanism 1 may select the pathological syndrome type according to the requirement of the patient, or may select the pathological syndrome type under the guidance of the doctor expert in the diagnosis and treatment terminal 14 corresponding to the diagnosis and treatment mechanism 11.
5. And (3) supplementing symptoms: in the process of disease condition diagnosis, the supplementary symptom is an operation link completed by the mutual cooperation of the user mechanism 1, the cloud server 5, the consultation mechanism 6 and the diagnosis and treatment mechanism 11, when the supplementary symptom operation is performed, firstly, the missing symptom of the system needs to be filled in, and if the missing symptom of the system does not conform to the missing symptom of the system, the operation needs to be performed by returning to the reselecting of the disease name and the syndrome type; if the system omission symptom is met, the cloud server 5 sends the diagnosis result to the user mechanism 1, matches the corresponding first terminal 2, second terminal 3 and third terminal 4, provides the display of the diagnosis result for the patient, simultaneously inquires whether the patient needs treatment, if the patient selects to need treatment, the cloud server 5 sends the treatment scheme to the user mechanism 1, matches the corresponding first terminal 2, second terminal 3 and third terminal 4, provides the information display of the disease name, syndrome, symptom, prescription and medical advice for the patient, and simultaneously provides the preventive treatment service for the patient, so as to search for the doctor and the service suggested by the doctor for the patient in the user mechanism 1, and at the moment, the cloud server 5 sends the requirement to the diagnosis and treatment terminal 14 in the diagnosis and treatment mechanism 11, so as to search for the answer of the doctor expert; if the patient chooses not to need treatment, the cloud server 5 sends the diagnosis result to the user mechanism 1, matches the corresponding first terminal 2, second terminal 3 and third terminal 4, provides the display without treatment for the patient, and provides the service for preventing the patient without disease for the patient, so as to search for the doctor and the service suggested by the doctor for the patient in the user mechanism 1, and at the moment, the cloud server 5 sends the requirement to the treatment terminal 14 in the treatment mechanism 11, so as to search for the answer of the doctor expert.
6. And (3) disease condition feedback: in the process of disease condition diagnosis, the disease condition feedback is an operation link completed by the mutual cooperation of the user mechanism 1 and the cloud server 5, whether the diagnosis information of a patient is added or not is inquired when the disease condition feedback operation is performed, if the diagnosis information of the patient is selected to be added, the patient in the user mechanism 1 needs to add the disease condition diagnosis information, the disease condition diagnosis information is stored in a sample database of a traditional Chinese medicine clinical auxiliary decision making system in the cloud server 5 so that a doctor expert in the diagnosis and treatment mechanism 11 can look up the disease condition diagnosis information and establish a complete case, the traditional Chinese medicine clinical auxiliary decision making system in the cloud server 5 brings the disease condition diagnosis information into a case sample database as a sample collection process, and the diagnosis and treatment accuracy is improved; if the diagnostic information selected for the patient is negative, the diagnosis is ended.
The whole system adopts a layered software structure, the system is divided into a data source, a collection layer, a data layer, a support layer, an application layer and an entry layer from bottom to top, and the layers interact with one another through a standard interface, so that the expandability of the system can be better realized.
First, a data source: the data of the traditional Chinese medicine clinical assistant decision system has various source modes and mainly comprises medical institution data, such as past historical diagnosis data of a hospital, traditional Chinese medicine related data and internet data input into a background by an expert and professional medical institution network platform data. Based on the integrated, real-time and centralized clinical data center data in the hospital and the massive knowledge base combining the personal defense and the knowledge in the hospital, the data support is provided for the application layer.
Second, acquisition layer: because the traditional Chinese medicine standardization difficulty is high, and the data sources are different, the data acquisition modes are different. There are three main ways of data acquisition: the crawler technology is characterized in that experts manually input data aiming at the Internet. Besides searching data processed by the Internet, the manual labeling and classification are taken as a core, and the data entry, grouping and marking work is completed quickly.
Third, data layer: and the data layer completes the establishment of an empirical model library and a disease-following model library according to different types of data. Empirical models refer to key symptoms that cannot be detected by physicochemical equipment, such as: dysphoria, high fever, short breath and suffocating.
Fourth, support layer: the support layer is used for supporting the technical capability exhibited by the application, and comprises: neuron algorithm, artificial intelligence-machine learning, big data processing, symptom tree and algorithm integration platform. The support layer is the core of the whole traditional Chinese medicine clinical assistant decision system, and determines the precision, the humanization and the rationalization of the operation and the setting of an artificial intelligence-machine learning rule of the whole traditional Chinese medicine clinical assistant decision system.
Fifth, application layer: the system fully considers the requirements of different application scenes, and the display modes are combined to the associated diseases. Later, the related application library is gradually opened, so that the calling of the entry layer is facilitated.
Sixth, entrance layer: aiming at online users, the traditional Chinese medicine clinical assistant decision system designs a disease screening entrance, and aiming at self diseases, if patients have primary knowledge, the possibility of the diseases can be further known through a disease screening mode. The operation flow is as follows: inputting the possible diseases, checking all symptoms of the diseases, checking the corresponding symptoms, and checking the possibility of the diseases.
The main advantages of the traditional Chinese medicine clinical assistant decision system in system design and application functions are as follows:
rich knowledge base: the whole system is divided into 28 systems, 1500 traditional Chinese medicine symptoms, 600 syndrome types, 800 Chinese herbal medicine schemes, 500 disease names and 500 copyright acupuncture points and acupuncture graphs are arranged in the system, a knowledge base is provided for traditional Chinese medicine auxiliary decision support through clinical and management rules and a traditional Chinese medicine knowledge base, the local mapping and approval process of the rules is supported, and the rapid implementation and safety management of the rules are ensured.
Real-time and intelligent monitoring and early warning are realized: the whole system design takes a rule engine as a core, supports rule flow and decision table type rule management, provides a visual rule configuration interface, supports hot deployment of rules, ensures that the production is not influenced by business change, the operation is not stopped at a background, and the application at a foreground is not interrupted.
Closed-loop management of early warning, intervention, tracking and feedback: for the intervention result, the staff can issue the intervention measure on the platform, the related staff browses the measure and performs the intervention treatment, the system can check the intervention execution condition, and the compliance rate of clinical intervention test and the effect evaluation of the intervention measure can be inquired and counted in the future.
And (3) a statistical function: the system has different dimensions to count different early warning indexes, and can count the early warning monitoring logs of the whole hospital.
Multi-source data access: the system supports three types of interface triggering and calling, including an enterprise service bus, webService and ETL, organizes input information and then triggers rule early warning or suggestion, meets the requirements of considering different application scenes, and assists clinical medical care personnel and managers in making decisions.
The system is mainly used for inputting a clinical symptom library, and a traditional Chinese medicine disease library, a prescription library, a treatment method library, an acupuncture library, a disease profile library, a differential diagnosis library, a syndrome differentiation and treatment library, a prognosis regulation library and a document library are called through an intelligent algorithm analysis matching result.
The consulting organization 6 can also have a mobile medical attribute in the consulting organization 11, provide online and offline consulting services for patients in the user organization 1, and establish cloud data health records to provide health management, health knowledge inquiry, health plan execution and convenient health condition consultation for the patients at any time.
The whole system establishes interconnection among various mechanisms, units, families and hospitals to form an inquiry mechanism, uses a mobile phone, a desktop computer and a notebook computer as access terminals in the mechanism units, realizes interaction with diagnosis and treatment terminal equipment in the hospitals, cooperates with the inquiry and treatment terminals with different functional attributes to finish inspection, auscultation, inquiry and diagnosis of patients, can establish a semi-structured decision between the application of a computer system and medical staff, realizes the combination of model dialectics and expert dialectics, has the functions of selecting symptoms, syndrome types and supplementing symptoms, finally obtains a diagnosis result through reasoning and prediction, and can feed back and store information of the diagnosis result, thereby establishing a more comprehensive sample database, leading the diagnosis and treatment of traditional Chinese medicine to be more intelligent, achieving the purpose of diagnosis and treatment optimization, effectively solving the limitation of clinical knowledge, reducing or early warning negligence, relatively reducing medical expenses and improving medical quality.
In the description of the present invention, it should be noted that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "inner", "outer", "top", "bottom", "end", etc., indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (10)
1. A traditional Chinese medicine clinical auxiliary diagnosis and treatment system is characterized in that: the system comprises a user mechanism, a cloud server, a consultation mechanism and a diagnosis and treatment mechanism, wherein the user mechanism is positioned at the upper stage of the cloud server and is connected with the cloud server, the user mechanism consists of a first terminal, a second terminal and a third terminal, the first terminal, the second terminal and the third terminal are connected with the cloud server by using wireless network signals or lines, the consultation mechanism is positioned at the upper stage of the cloud server and is connected with the cloud server, the consultation mechanism consists of a first consultation terminal, a second consultation terminal, a third consultation terminal and a fourth consultation terminal, the diagnosis and treatment system comprises a first diagnosis and treatment terminal, a second diagnosis and treatment terminal, a third diagnosis and treatment terminal and a fourth diagnosis and treatment terminal, wherein the first diagnosis and treatment terminal, the second diagnosis and treatment terminal, the third diagnosis and treatment terminal and the fourth diagnosis and treatment terminal are connected with a cloud server by using lines, a diagnosis and treatment mechanism is located at the next stage of the cloud server and connected with the cloud server by using the lines, the diagnosis and treatment mechanism is connected with the cloud server and consists of an intermediate machine, a switch and the diagnosis and treatment terminals, the intermediate machine is located at the next stage of the cloud server and connected with the cloud server by using the lines, the switch is located at the next stage of the intermediate machine and connected with the intermediate machine by using the lines, and the diagnosis and treatment terminals are located at the next stage of the switch and connected with the switch by using the lines.
2. The system of claim 1, wherein the system comprises: the first terminal is a plurality of mobile phones.
3. The system of claim 1, wherein the system comprises: the second terminal and the diagnosis and treatment terminal are all a plurality of desktop computers.
4. The system of claim 1, wherein the system comprises: the third terminals are a plurality of notebook computers.
5. The traditional Chinese medicine clinical auxiliary diagnosis and treatment system according to claim 1, characterized in that: the first consultation terminal is a camera.
6. The system of claim 1, wherein the system comprises: the second diagnosis inquiry terminal is an acoustic-electric sensor.
7. The system of claim 1, wherein the system comprises: the third consultation terminal is an electronic nose.
8. The traditional Chinese medicine clinical auxiliary diagnosis and treatment system according to claim 1, characterized in that: the fourth consultation terminal is a computer pulse instrument.
9. The traditional Chinese medicine clinical auxiliary diagnosis and treatment system according to claim 1, characterized in that: the intermediate computer is a desktop computer.
10. The working method of the traditional Chinese medical clinical auxiliary diagnosis and treatment system according to claims 1-9:
1. and (3) registering binding: the patient can access the traditional Chinese medicine clinical assistant decision-making system in the cloud server through any terminal equipment in the user mechanism to enter and register the identity, the user mechanism can be applied to various mechanisms, units or families and comprises a first terminal, a second terminal and a third terminal, the first terminal adopts a plurality of mobile phones, the second terminal adopts a plurality of desktop computers, the third terminal adopts a plurality of notebook computers and can access the traditional Chinese medicine clinical assistant decision-making system in the cloud server, after the identity information is entered, the pathological condition of the patient can be simply described, a diagnosis and treatment database in the system can be activated, a sample database conforming to the pathology of the patient is established, and individual binding is realized;
2. and (3) diagnosis of disease conditions: after the registration of the patient is finished, logging in the system and entering a diagnosis level; the system inquires whether fuzzy diagnosis is needed, if the fuzzy diagnosis is yes, the patient selects symptoms in sequence, selects the disease name and the syndrome type, supplements symptoms, inquires whether the disease name and the syndrome type are reselected, if the disease name and the syndrome type are reselected, returns to the selection of symptoms, reselects the disease name and the syndrome type, supplements symptoms, if the disease name and the syndrome type are reselected, the cloud server sends the diagnosis result to the user mechanism, matches the corresponding first terminal, second terminal and third terminal, provides display of the diagnosis result for the patient, and inquires whether diagnosis information is added or not after the patient receives the diagnosis result, if the diagnosis information is added, the patient needs to add the diagnosis information, and if the diagnosis information is not added, the diagnosis is finished; if the fuzzy diagnosis is negative, the patient selects the disease name, selects the symptom, selects the syndrome type and supplements the symptom in sequence, the cloud server sends the diagnosis result to the user mechanism, matches the corresponding first terminal, second terminal and third terminal to provide the display of the diagnosis result for the patient, after the patient receives the diagnosis result, the system inquires whether to add the diagnosis information, if yes, the patient needs to add the diagnosis information, and if not, the diagnosis is finished;
3. selecting symptoms: in the process of disease condition diagnosis, an operation link of which the selected symptom is finished by a diagnosis inquiring mechanism is formed by a first diagnosis inquiring terminal, a second diagnosis inquiring terminal, a third diagnosis inquiring terminal and a fourth diagnosis inquiring terminal, the diagnosis inquiring mechanism is matched with the diagnosis and treatment mechanism for use, the diagnosis and treatment terminal in the diagnosis and treatment mechanism can access a traditional Chinese medicine clinical auxiliary decision making system in a cloud server, the diagnosis and treatment terminal also adopts a plurality of desktop computers, and the diagnosis and treatment terminal is operated by the authority of a doctor, so that interaction can be realized for a user mechanism at the other port of the cloud server, and the doctor can conveniently access a patient; the first consultation terminal adopts a camera and has a high-definition camera shooting function, so that doctors and specialists of the diagnosis and treatment terminal can conveniently acquire and observe images of spirit, complexion, shape, head, neck, five sense organs, skin, two yin, tongue and discharge of a patient to be used for diagnosis and judgment; the second consultation terminal adopts an acoustic-electric sensor, so that a doctor expert of the diagnosis and treatment terminal can conveniently collect the voice of a patient, the third consultation terminal adopts an electronic nose, so that a doctor expert user of the diagnosis and treatment terminal can conveniently collect the smell of the patient, and the second consultation terminal and the third consultation terminal can be mutually matched for use or can be used as independent equipment to be used independently for auscultation judgment; through the whole framework of user mechanism, high in the clouds server, inquiry mechanism, diagnosis mechanism to form doctor-patient's network's interaction, realize doctor expert and patient's front visit, if: general interrogation, present symptoms, include: cold and heat, sweating, pain, ears and eyes, sleep, diet and taste, defecation and special sensation are used as inquiry judgment; the fourth consultation terminal adopts a computer pulse instrument, so that doctors and specialists of the diagnosis and treatment terminal can conveniently acquire information of the floating and deep pulse, slow and rapid pulse, thin flood, deficiency and excess, long pulse and tense pulse of patients to judge the palpation; the electronic nose adopted by the third consultation terminal and the computer pulse instrument adopted by the fourth consultation terminal are used in the diagnosis and treatment institution for clinical diagnosis of patients, and the patients in the user institution are clinically diagnosed by the camera of the first consultation terminal and the acoustic-electric sensor of the second consultation terminal serving as interactive equipment; thereby completing the selection of symptoms for the patient; if the symptoms are too complex, a patient in a user mechanism needs to input the symptoms by himself, after the input is finished, the traditional Chinese medicine clinical assistant decision system in the cloud server automatically searches, the system lists the searched symptoms according to the database and the keywords and displays whether the symptoms exist, if the symptoms are incomplete, other symptoms need to be added continuously, and the completeness and the comprehensiveness of the symptoms are guaranteed;
4. selecting syndrome types: in the process of disease diagnosis, syndrome type selection is an operation link completed by mutual cooperation of a user mechanism, a cloud server, a consultation mechanism and a diagnosis and treatment mechanism, and is divided into five categories of eight-class dialectics, qi-blood and body fluid dialectics, viscera dialectics, six-channel dialectics and other dialectics, wherein the eight-class dialectics are reflected by yin and yang exterior cold and interior heat deficiency and excess; qi, blood and body fluids are manifested as qi diseases including qi deficiency and qi stagnation; blood deficiency and blood heat; synpathy of qi and blood including qi deficiency and blood stasis; the zang-fu organs are manifested as liver, heart, spleen, lung, kidney, gallbladder, stomach, small intestine, large intestine, bladder and triple energizer; the six meridians are dialectically manifested as yang apoplexy and taiyang cold injury; other dialectics are embodied as: wei-defensive qi, ying-nutrient blood, triple energizer and meridians; the patients in the user mechanism can list the possibility index of each syndrome type according to the conditions of the patients, and the patients in the user mechanism can select the pathological syndrome type according to the requirements of the patients, and also can select the pathological syndrome type under the guidance of a doctor expert in a diagnosis and treatment terminal corresponding to the diagnosis and treatment mechanism;
5. and (3) supplementing symptoms: in the process of disease condition diagnosis, the supplementary symptom is an operation link completed by the mutual cooperation of the user mechanism, the cloud server, the inquiry mechanism and the diagnosis and treatment mechanism, when the supplementary symptom operation is performed, firstly, the system missing symptom needs to be filled, and if the system missing symptom is not met, the operation needs to be returned to reselect the disease name and the syndrome type for operation; if the system omission symptom is met, the cloud server sends the diagnosis result to the user mechanism, the corresponding first terminal, the second terminal and the third terminal are matched, the diagnosis result is displayed for the patient, meanwhile, whether the patient needs to be treated is inquired, if the patient selects to be treated, the treatment scheme is sent to the user mechanism by the cloud server, the corresponding first terminal, the second terminal and the third terminal are matched, information display of disease name, syndrome, symptom, prescription and medical advice is provided for the patient, meanwhile, the disease-preventive service for preventing diseases and preventing diseases is provided for the patient, the doctor is searched for the patient in the user mechanism, the service suggested by the doctor is searched for the patient, and the cloud server sends the requirement to the diagnosis and treatment terminal in the diagnosis and treatment mechanism at the moment to search for the answer of the doctor expert; if the patient selects that treatment is not needed, the cloud server sends the diagnosis result to the user mechanism, the corresponding first terminal, second terminal and third terminal are matched, diagnosis and treatment-free display is provided for the patient, meanwhile, the patient can be provided with the disease-preventive service without disease prevention, a doctor is searched for the patient in the user mechanism, the service suggested by the doctor is searched for, and the cloud server sends the requirement to the diagnosis and treatment terminal in the diagnosis and treatment mechanism to search for the answer of the doctor expert;
6. and (3) disease condition feedback: in the process of disease condition diagnosis, the disease condition feedback is an operation link completed by the mutual cooperation of a user mechanism and a cloud server, when the disease condition feedback operation is performed, whether the diagnosis information of a patient is added or not is inquired, if the diagnosis information of the patient is selected to be added, the patient in the user mechanism needs to add the disease condition diagnosis information, the disease condition diagnosis information is stored in a sample database of a traditional Chinese medicine clinical auxiliary decision making system in the cloud server so as to be convenient for a doctor expert in a diagnosis and treatment mechanism to look up, a complete case is established at the same time, and the traditional Chinese medicine clinical auxiliary decision making system in the cloud server brings the disease condition diagnosis information into the sample database of the case as a sample collection process, so that the diagnosis and treatment accuracy is improved; if the diagnostic information selected for the patient is negative, the diagnosis is ended.
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