CN112116990A - Internet artificial intelligence based doctor-patient management system and method - Google Patents
Internet artificial intelligence based doctor-patient management system and method Download PDFInfo
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Abstract
The invention provides a doctor-patient management system and a doctor-patient management method based on internet artificial intelligence, wherein the doctor-patient management system comprises: the doctor end is used for binding the doctor to the platform and realizing the operation of providing services for the patient; the patient end is used for binding the patient to the platform and realizing the binding with a specific doctor and hospitalizing operation; and the server is used for connecting the doctor end and the patient end and transmitting related information. The invention realizes the requirement of doctors for long-term management of patients after hospital, greatly improves the working efficiency of the doctors, reduces the communication cost between the doctors and the patients, and avoids most medical errors in medical behaviors to a greater extent by integrating medical logic. By means of the multi-element system construction and the realization of the method functions, the complexity and the workload of the patient file establishment and maintenance are greatly simplified, and a simpler and more convenient way is provided for the patient to enjoy professional medical services.
Description
Technical Field
The invention relates to a doctor-patient management system and method based on internet artificial intelligence.
Background
At present, the traditional doctor-patient relationship depends on the existence of offline medical institutions, often, a patient can establish a doctor-patient relationship only when actively going to a hospital to find a doctor for a doctor to see a doctor, and the relationship between the doctor and the patient is terminated after completing a diagnosis relationship, the patient needs to ask a doctor from the beginning again for each time of seeing a doctor, the efficiency is low, a large amount of time is occupied for the doctor, most of chronic patients need to be managed by professional doctors for a long time to maintain a better control effect, and at present, the doctor cannot complete long-term management work without the support of related technologies.
Some applications of the prior art and products simply realize real-time communication between doctors and patients, but the current situation still cannot complete the long-term stable relationship between doctors and patients, and a set of complete patient out-of-hospital filing and updating mechanism and method are lacked, and the method basically stays in the stage of one-time online consultation, and although individual cases achieve long-term tracking follow-up, the method is mostly a relatively backward and inefficient method such as regular telephone follow-up and the like. The long-term stability of the relationship before doctors and patients cannot be realized.
The technology and the method related to the patent aim to change the current situation and provide a whole set of efficient management method based on the Internet and artificial intelligence for doctors to manage patients.
The statements in the background section are merely prior art as they are known to the inventors and do not, of course, represent prior art in the field.
Disclosure of Invention
Aiming at one or more problems in the prior art, the invention provides an Internet artificial intelligence-based doctor-patient management system, which comprises:
the doctor end is used for binding the doctor to the platform and realizing the operation of providing services for the patient;
the patient end is used for binding the patient to the platform and realizing the binding with a specific doctor and hospitalizing operation;
the server is used for connecting the doctor end and the patient end and transmitting related information;
the patient side is provided with a medicine taking module, a standard reaching module and a patient information module;
wherein the content of the first and second substances,
the medicine taking module is used for generating a medicine taking plan, monitoring and recording the medicine taking state of the patient and receiving medicine taking reminding information transmitted by the server;
the standard reaching module is used for displaying the health condition and the core index of the patient;
the patient information module is used for recording and uploading medical data information of the patient, acquiring medical advice and presenting the medical advice to the patient;
the doctor end comprises a contracted patient management module and an appointment module;
wherein the content of the first and second substances,
the signed patient management module is used for daily management of the long-term signed patient;
the appointment module is used for recording appointment information of a doctor for seeing a doctor, which needs to be processed;
the server is provided with an OCR intelligent recognition module and a medical suggestion module;
wherein the content of the first and second substances,
the OCR intelligent recognition module is used for recognizing and structurally processing image data uploaded by a patient end, including but not limited to diagnosis data, operation records, laboratory reports, examination reports, medical records and the like, and generating medical information of the patient;
the medical advice module is used for providing various medical advice according to medical guidelines and medical information of patients.
According to one aspect of the invention, the patient information module comprises a diagnosis information sub-module and a test examination sub-module, wherein the diagnosis information sub-module and the test examination sub-module are respectively in signal connection with the server;
the diagnosis information submodule is used for uploading medical information of the diagnosis information to a patient, and the server identifies the medical information through the OCR intelligent identification module, performs structural processing on the medical information, generates the diagnosis information and transmits the diagnosis information to the diagnosis information submodule;
the examination and check sub-module is used for uploading the documents of the examination and check by the patient, and the server identifies the documents through the OCR intelligent identification module, performs structured processing on the documents, generates the numerical value of the examination and check, and transmits the numerical value to the examination and check sub-module.
According to one aspect of the invention, the patient information module further comprises: and the picture searching module is in signal connection with the server and is used for recording all pictures uploaded by the patient for searching and modifying the patient.
According to one aspect of the invention, the patient information module further comprises: and the doctor searching module is in signal connection with the server and is used for recording the information of the bound doctor.
According to one aspect of the invention, the doctor end further comprises a doctor team module, the doctor team module is used for managing upper doctors and lower doctors, after the patient is bound with the first doctor, the first doctor can select the second doctor as the upper doctor or the lower doctor to manage the patient together through the doctor team module, and sends a recommendation letter to the patient end; the patient can choose to accept or reject the recommendation of the first doctor through the patient end; when the patient chooses to accept, a set of superior and inferior doctors for the patient is formed by the first doctor and the second doctor in the doctor team module.
According to one aspect of the invention, the method for binding the patient and the first doctor comprises the following steps: the patient selects a first doctor on the Internet platform through the patient side, sends a request signal to the server, the server transmits the request signal sent by the patient side to the doctor side, the first doctor can choose to accept or not accept the request of the patient after receiving the request signal through the doctor side, and the first doctor realizes doctor-patient binding after receiving the request signal; or the patient directly realizes the doctor-patient binding on the platform by scanning the two-dimensional code of the doctor.
According to one aspect of the invention, the system is further integrated with a real-time interactive IM module for real-time conversational communication between doctors and patients.
The invention also provides an Internet artificial intelligence based doctor-patient management method, which comprises the following steps:
binding the patient and the doctor;
identification and structuring of medical information uploaded by a patient on the patient side;
the server generates a guideline suggestion value at a doctor end according to the medical guideline and the medical information of the patient;
the doctor provides medical scheme and guidance through the doctor end on the basis of the suggested values of the combined guide.
According to one aspect of the invention, the method for generating the guideline recommendation value at the doctor end by the server according to the medical guideline and the medical information of the patient is as follows:
establishing a medical guideline database;
and performing operation screening in a medical guideline database according to the medical information of the patient, generating a guideline recommendation value and transmitting the guideline recommendation value to the doctor end.
According to one aspect of the invention, the specific method for performing operation screening in the medical guideline database according to the medical information of the patient, generating the guideline recommendation value and transmitting the guideline recommendation value to the doctor end is as follows:
assuming that the medical information of the structured patient is n pieces of information;
starting corresponding screening in a medical guideline database by using the 1 st piece of information to obtain a first set of guideline data;
correspondingly screening the 2 nd piece of information in the first set of guide data to obtain a second set of guide data;
correspondingly screening the 3 rd piece of information in the second set of guide data to obtain a third set of guide data;
calculating according to the above steps until a unique corresponding guideline suggestion value is obtained;
preferably, if the only corresponding guide suggestion value is not obtained until the last piece of information is filtered, the guide suggestion value is not generated.
According to one aspect of the invention, the specific method for providing medical schemes and guidance by doctors through the doctor end on the basis of the recommended values of the combined guide is as follows:
if the doctor at the doctor end considers that the guideline recommendation value is reasonable, a medical recommendation is generated after confirmation and is transmitted to the patient end; if the doctor at the doctor end considers the guideline recommendation value to be unreasonable, the guideline recommendation value is modified into a reasonable medical recommendation and is transmitted to the patient end.
According to one aspect of the invention, the method also comprises a superior doctor management method and an inferior doctor management method, and specifically comprises the following steps:
the superior doctor in the superior doctor sub-module can directly send information to the patient;
the subordinate doctors in the subordinate doctor sub-modules can directly send information to the patient within the authority, and meanwhile, the system can send the information to the superior doctors in the superior module;
the lower doctor in the lower doctor sub-module sends the diagnosis and treatment information of the super-authority to the higher doctor audit of the higher doctor module, and the system is transmitted to the patient side after the higher doctor audit is passed; and
the superior doctor has the permission to return and modify the audited diagnosis and treatment information.
According to one aspect of the invention, the medical information of the patient comprises basic information of the patient, and/or diagnostic information, and/or assay, examination information.
The invention has the following effects:
the invention realizes the requirement of doctors for long-term management of patients after hospital, greatly improves the working efficiency of the doctors, reduces the communication cost between the doctors and the patients, and avoids most medical errors in medical behaviors to a greater extent by integrating medical logic. By means of the multi-element system construction and the realization of the method functions, the complexity and the workload of the patient file establishment and maintenance are greatly simplified, and a simpler and more convenient way is provided for the patient to enjoy professional medical services. Meanwhile, the medical behavior is truly expanded from the past hospital medical treatment to the out-of-hospital long-term medical treatment, the medical service quality is effectively improved, the medical effect is improved, and the risk of relapse and deterioration of patients is reduced.
In addition, based on a set of innovative doctor-patient management system, the invention also provides a new method for effective data acquisition, arrangement and precipitation for various clinical scientific researches.
Detailed Description
In the following, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "straight", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown, and are used merely for convenience of description and simplicity of description, but do not indicate or imply that the device or element so 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 "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the description of the present invention, it should be noted that unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection, either mechanically, electrically, or in communication with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly above and obliquely above the second feature, or simply meaning that the first feature is at a lesser level than the second feature.
The following disclosure provides many different embodiments or examples for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, the present invention provides examples of various specific processes and materials, but one of ordinary skill in the art may recognize applications of other processes and/or uses of other materials.
The following description of the preferred embodiments of the present invention is provided for the purpose of illustration and description, and is in no way intended to limit the invention.
The embodiment of the invention provides an Internet artificial intelligence-based doctor-patient management system, which comprises:
the doctor end is used for binding the doctor to the platform and realizing the operation of providing services for the patient;
the patient end is used for binding the patient to the platform and realizing the binding with a specific doctor and hospitalizing operation;
and the server is used for connecting the doctor end and the patient end and transmitting related information.
A server:
servers include, but are not limited to: cloud servers, physical servers, storage devices, CPUs, GPUs, and the like. The server is provided with an OCR intelligent recognition module (see patent: application No. 201811465074.7) and a medical suggestion module. The server is provided with an OCR intelligent recognition module and a medical suggestion module.
The OCR intelligent recognition module is used for recognizing and structurally processing diagnosis data and laboratory test orders uploaded by a patient side and generating medical information of the patient. The OCR intelligent recognition module is an image recognition technology based on an artificial intelligent computer network, and can translate and recognize dimensions such as graphics, characters, colors and the like in a picture, and the process comprises the technical links of angle adjustment, text correspondence, image comparison and the like of the image; the angle adjustment is mainly used for automatically carrying out multi-dimensional stereo adjustment aiming at the phenomena of angle deviation, torsion and the like of pictures uploaded by a user, so that the identification precision is improved; the text is correspondingly based on self-segmentation in various standard databases, and content matching and correction are carried out on the identified fields, so that the accuracy of the identification result is ensured; and the image contrast analysis is used for judging that the uploaded image is the target analysis content, so that the recognition efficiency is improved.
The medical advice module is used for providing various medical advice according to medical guidelines and medical information of patients.
A patient side:
the patient end is provided with a medicine taking module, a standard reaching module and a patient information module.
The medicine taking module is used for generating a medicine taking plan, monitoring the medicine taking state of the patient and receiving the medicine taking reminding information transmitted by the server; the standard reaching module is used for displaying the health condition of the patient; the patient information module is used for recording and identifying medical information of the patient, acquiring information whether various medical indexes of the patient reach the standard or not and displaying the information on the patient side.
The patient information module includes: a diagnostic information sub-module and an assay check sub-module. The diagnosis information sub-module and the test checking sub-module are respectively in signal connection with the server. The information module is described in detail below.
The patient information module includes:
the diagnosis information submodule is used for uploading medical information of the diagnosis information by a patient, and the server identifies and structurally processes the medical information through the OCR intelligent identification module by the server to generate the diagnosis information and transmits the diagnosis information to the diagnosis information submodule;
and the test examination sub-module is used for uploading the documents of the test examination by the patient, and the server identifies the documents through the OCR intelligent identification module, performs structured processing on the documents, generates the numerical value of the test examination and transmits the numerical value to the test examination sub-module.
And the picture searching module is used for recording all pictures uploaded by the patient for searching and modifying the patient.
And the doctor searching module is used for recording the information of the bound doctor.
The doctor searching module and the medicine taking searching module are used for recording the medicine taking condition.
The diagnosis information sub-module, the test and examination sub-module, the picture searching module, the doctor searching module and the doctor searching module can all realize communication with the server.
A doctor end:
the doctor end includes:
a patient module for linking patient information for a visit;
the appointment module is used for recording the information that the doctor needs to see a doctor;
the doctor team module is used for managing upper and lower doctors, after the patient is bound with the first doctor, the first doctor can select a second doctor as the upper doctor or the lower doctor to receive the treatment of the patient together through the doctor team module, and sends a recommendation letter to the patient end; the patient can choose to accept or reject the recommendation of the first doctor through the patient end; when the patient chooses to accept, a set of superior and inferior doctors for the patient is formed by the first doctor and the second doctor in the doctor team module.
The method for realizing the binding of the patient and the first doctor comprises the following steps: the patient selects a first doctor on the Internet platform through the patient side and sends a request signal to the system, the system transmits the request signal sent by the patient side to the doctor side, the first doctor can select to accept or not accept the request of the patient after receiving the request signal transmitted by the system through the doctor side, and the first doctor realizes doctor-patient binding after receiving the request signal; or the patient directly realizes the doctor-patient binding on the platform by scanning the two-dimensional code of the doctor.
As a preferred mode of this embodiment, the system is further integrated with a real-time interactive IM module for real-time conversational communication between doctors and patients.
Another embodiment of the present invention provides an internet artificial intelligence based doctor-patient management method, including:
s1: binding the patient and the doctor;
s2: identification and structuring of medical information uploaded by a patient on the patient side;
s3: generating a guideline recommendation value at a doctor end according to the medical guideline and the medical information of the patient;
s4: the doctor provides medical scheme and guidance through the doctor end on the basis of the suggested values of the combined guide.
Each step is described in detail below.
In S1:
the patient voluntarily binds with the doctor through ways of scanning the doctor two-dimensional code or inputting the doctor identification code and the like, and the direct long-term service relationship between the doctor and the patient is achieved. Or the patient searches for a corresponding doctor in the patient end through a commonly bound internet platform, the doctor is selected as a first doctor of the patient, a request signal is sent to the system, the request signal sent by the patient end is sent to the doctor end by the system, the first doctor can optionally accept or not accept the request of the patient after receiving the request signal sent by the system through the doctor end, and doctor-patient binding is realized after the first doctor accepts the request signal.
In S2:
the patient is uploaded by taking a picture through a client such as a patient side APP, an applet, a public number and the like, and the method comprises but is not limited to the following steps: medical records, diagnosis reports, examination sheets, laboratory test sheets, symptom pictures, administration sheets and the like. And the system server analyzes the related content in the picture by an OCR picture recognition technology, and structures the data contained in the picture into a data form which is in accordance with the storage of a computer. In view of the rigor of the medical data, the OCR structured data can be manually checked again and then recorded as valid data. OCR intelligent recognition is an image recognition technology based on an artificial intelligent computer network, which can translate and recognize dimensions such as graphics, characters, colors and the like in a picture, and the process comprises the technical links of angle adjustment, text correspondence, image comparison and the like of the image; the angle adjustment is mainly used for automatically carrying out multi-dimensional stereo adjustment aiming at the phenomena of angle deviation, torsion and the like of pictures uploaded by a user, so that the identification precision is improved; the text is correspondingly based on self-segmentation in various standard databases, and content matching and correction are carried out on the identified fields, so that the accuracy of the identification result is ensured; and the image contrast analysis is used for judging that the uploaded image is the target analysis content, so that the recognition efficiency is improved.
The medical information structuring is to convert various data, such as data covered by image contents, data included in language exchange, data filled in various forms, and the like, into data corresponding to standards in a medical guideline database. For example: the language communication identifies the sentences "high pressure 180 and base pressure 110 has been over 10 years" with blood pressure, structured as standard data "blood pressure 180/110" and "history of hypertension 10 years".
The medical information of the patient includes basic information, and/or diagnosis information, and/or test and examination information of the patient. The basic information includes at least the name, age, and surname of the patient. For example: the basic information includes at least the name, age, family name, marital status of the patient. Coronary atherosclerotic heart disease and hypertension belong to diagnostic information, chemotherapy and drug therapy belong to treatment modes, and percutaneous coronary artery stent implantation and coronary artery bypass surgery belong to operation contents.
In S3:
the generation of guideline recommendation values at a doctor end according to medical guidelines and medical information of patients is realized through a medical recommendation module, and the specific method comprises the following steps:
establishing a medical guideline database;
and performing operation screening in a medical guideline database according to the medical information of the patient, generating a guideline recommendation value and transmitting the guideline recommendation value to the doctor end.
The specific method for carrying out operation screening in the medical guideline database according to the medical information of the patient, generating the guideline recommendation value and transmitting the guideline recommendation value to the doctor end comprises the following steps:
assuming that the medical information of the structured patient is n pieces of information;
starting corresponding screening in a medical guideline database by using the 1 st piece of information to obtain a first set of guideline data;
correspondingly screening the 2 nd piece of information in the first set of guide data to obtain a second set of guide data;
correspondingly screening the 3 rd piece of information in the second set of guide data to obtain a third set of guide data;
and calculating until a unique corresponding guide suggestion value is obtained.
For example:
for example:
example 1: the medical data of the structured patient A forms n pieces of information which comprises:
1. sex (Man)
2. Age (67 years old)
3. Diagnosis (coronary heart disease)
4. Treatment modality (percutaneous coronary stenting)
5. Processing time (2019 year, 10 month and 15 days)
Screening the guideline database for a first set having a large amount of guideline data on item 1 (gender (male));
screening the first set with item 2 (age (67 years)) to obtain a second set with relatively small guide data volume but still large guide data volume;
a third set with smaller guideline data was then screened in the second set with item 3 (diagnosis (coronary heart disease)), where the guideline data could be accurately obtained: blood pressure control standard (< 150/90mmHg), heart rate control standard (55-70 times/min), LDL-C control standard (1-2.1mmol/L), total cholesterol control standard (1.8-2.6mmol/L)
Screening the third set with item 4 (treatment (percutaneous coronary stenting)) to obtain a fourth set of very small amount of guideline data;
the 5 th (processing time (10/15/2019)) is then screened in the fourth set to obtain 5 recommended guideline values:
(ii) blood pressure control Standard (< 150/90mmHg)
② heart rate control standard (55-70 times/minute)
③ LDL-C control Standard (1-2.1mmol/L)
Fourthly control standard of total cholesterol (1.8 to 2.6mmol/L)
Fifthly, a reexamination scheme (after 4, 15 days of 2020, the reexamination items comprise biochemical whole item, blood routine, urine routine, electrocardiogram, echocardiogram, coronary artery CT or coronary angiography)
Example 2: the medical data of the structured patient B forms n pieces of information which comprises:
1. gender (woman)
2. Age (40 years old)
3. Diagnosis (atrial fibrillation)
4. Treatment method (medicine: warfarin)
5. The medicine taking condition (the medicine starts to be taken in 4 and 15 days in 2020, and is taken for 1 month)
Screening a guideline database for a first set having a plurality of guideline data in item 1 (gender (woman));
screening the first set with item 2 (age 40) to obtain a second set with relatively small amount of guide data, but still large amount of guide data;
a third set with smaller guideline data was then screened in the second set with item 3 (diagnosis (atrial fibrillation)), where the guideline data was accurately available: blood pressure control standard (less than 140/90mmHg), heart rate control standard (60-80 times/min), INR control standard (2-3), LDL-C control standard (1.0-2.6mmol/L)
Screening the third set by item 4 (treatment (drug: warfarin)) to obtain a fourth set of very small amount of guide data;
then 5 items (taking the medicine (starting at 4 and 15 days in 2020, 1 month and a whole month) are screened in the fourth set to obtain 5 recommended values of the guideline:
(ii) blood pressure control Standard (< 140/90mmHg)
Heart rate control standard (60-80 times/min)
③ INR control Standard (2-3)
LDL-C control Standard (1.0-2.6mmol/L)
And a rechecking scheme (rechecking in 5, 15 days in 2020. the rechecking items comprise biochemical whole item, blood routine, five items of Jiagong, four items of blood coagulation and electrocardiogram).
And if the only corresponding guide suggestion value is not obtained until the last piece of information is screened, the guide suggestion value is not generated.
Guideline recommendations are intended to provide effective medical assistance to a physician, but do not completely replace the physician. In the invention, the medical suggestion module also has the functions of confirming and modifying the guideline suggestion by the doctor. That is, the doctor can provide medical plans and guidance on the basis of the suggested values in conjunction with the guideline through the doctor side. The specific method comprises the following steps:
if the doctor at the doctor end considers that the guideline recommendation value is reasonable, a medical recommendation is generated after confirmation and is transmitted to the patient end; if the doctor at the doctor end considers the guideline recommendation value to be unreasonable, the guideline recommendation value is modified into a reasonable medical recommendation and is transmitted to the patient end.
Medical recommendations made by the end physician include, but are not limited to:
(1) and (3) a rechecking scheme: according to the condition of the patient and the past history, a review scheme is automatically generated, and the contents of the scheme include but are not limited to: review time, review items, etc.
(2) Newly-added diagnosis reminding: according to the recent changes of various indexes and symptoms of the patient, the newly added diseases or diagnoses which are possibly generated by the patient are automatically calculated and judged, and reminding contents are generated to remind a doctor.
(3) Evaluation of medication regimen: judging whether the current medication of the patient is reasonable or not and whether contraindications exist or not according to the previous condition of the patient; regularly sending a side effect assessment scale to a patient according to the current medication of the patient, and monitoring the condition of side effects in the medication process of the patient in real time; the intelligent medicine box is used for monitoring the medicine taking condition of each time of a patient in real time, including whether the patient misses taking, whether the patient takes excessive medicine or not and the like.
Since a doctor may serve many patients, sometimes it is busy or prone to error, and a doctor cannot achieve a consultation. Based on this, as a preferable solution of the present embodiment, there is also provided a superior and inferior doctor management method, specifically:
the superior doctor in the superior doctor sub-module can directly send information to the patient;
the subordinate doctors in the subordinate doctor sub-modules can directly send information to the patient within the authority, and meanwhile, the system can send the information to the superior doctors in the superior module;
the lower doctor in the lower doctor sub-module sends the diagnosis and treatment information of the super-authority to the higher doctor audit of the higher doctor module, and the system is transmitted to the patient side after the higher doctor audit is passed; and
the superior doctor has the permission to return and modify the audited diagnosis and treatment information.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a doctor-patient management system based on internet artificial intelligence which characterized in that includes:
the doctor end is used for binding the doctor to the platform and realizing the operation of providing services for the patient;
the patient end is used for binding the patient to the platform and realizing the binding with a specific doctor and hospitalizing operation;
the server is used for connecting the doctor end and the patient end and transmitting related information;
the patient side is provided with a medicine taking module, a standard reaching module and a patient information module;
wherein the content of the first and second substances,
the medicine taking module is used for generating a medicine taking plan, monitoring and recording the medicine taking state of the patient and receiving medicine taking reminding information transmitted by the server;
the standard reaching module is used for displaying the health condition and the core index of the patient;
the patient information module is used for recording and uploading medical data information of the patient, acquiring medical advice and presenting the medical advice to the patient;
the doctor end comprises a contracted patient management module and an appointment module;
wherein the content of the first and second substances,
the signed patient management module is used for daily management of the long-term signed patient;
the appointment module is used for recording appointment information of a doctor for seeing a doctor, which needs to be processed;
the server is provided with an OCR intelligent recognition module and a medical suggestion module;
wherein the content of the first and second substances,
the OCR intelligent recognition module is used for recognizing and structurally processing image data uploaded by a patient end, including but not limited to diagnosis data, operation records, laboratory reports, examination reports, medical records and the like, and generating medical information of the patient;
the medical advice module is used for providing various medical advice according to medical guidelines and medical information of patients.
2. The doctor-patient management system based on the internet artificial intelligence as claimed in claim 1, wherein the patient information module comprises a diagnosis and treatment information sub-module, a test and examination sub-module, and a medication information sub-module, and the diagnosis information sub-module and the test and examination sub-module are respectively in signal connection with the server;
the diagnosis and treatment information submodule is used for uploading medical information of the diagnosis and treatment information to a patient, and the server identifies and structurally processes the medical information through the OCR intelligent identification module to generate diagnosis and treatment information and transmits the diagnosis and treatment information to the diagnosis and treatment information submodule;
the examination and check sub-module is used for uploading the documents of the examination and check by the patient, and the server identifies the documents through the OCR intelligent identification module, performs structured processing on the documents, generates the numerical value of the examination and check, and transmits the numerical value to the examination and check sub-module.
3. The internet artificial intelligence based doctor-patient management system according to claim 2, wherein the patient information module further comprises: the picture searching module is in signal connection with the server and is used for recording all pictures uploaded by the patient for the patient to search and modify;
preferably, the patient information module further comprises: and the doctor searching module is in signal connection with the server and is used for recording the information of the bound doctor.
4. The system for doctor-patient management based on internet artificial intelligence as claimed in claim 2, wherein the doctor end further comprises a doctor team module, the doctor team module is in signal connection with the server and is used for managing upper and lower doctors, after the patient is bound with the first doctor, the first doctor can select the second doctor as the upper doctor or the lower doctor to manage the patient together through the doctor team module, and send recommendation information to the patient end; the patient can choose to accept or reject the recommendation of the first doctor through the patient end; when the patient chooses to accept, a set of upper and lower doctors for the patient is formed in the doctor team module, wherein the set of upper and lower doctors is composed of the first doctor and the second doctor;
preferably, the method for binding the patient with the first doctor comprises the following steps: the patient selects a first doctor on the Internet platform through the patient side, sends a request signal to the server, the server transmits the request signal sent by the patient side to the doctor side, the first doctor can choose to accept or not accept the request of the patient after receiving the request signal through the doctor side, and the first doctor realizes doctor-patient binding after receiving the request signal; or the patient directly realizes the doctor-patient binding on the platform by scanning the two-dimensional code of the doctor.
5. The system of claim 1, further integrated with a real-time interactive IM module for real-time conversational communication between patients.
6. A doctor-patient management method based on Internet artificial intelligence is characterized by comprising the following steps:
binding the patient and the doctor;
identifying and structuring medical information uploaded by a patient;
the server generates a guideline suggestion value at a doctor end according to the medical guideline and the medical information of the patient;
the doctor provides medical advice on the basis of the combined guideline advice values through the doctor end.
7. The doctor-patient management method based on internet artificial intelligence as claimed in claim 6, wherein the method for generating the guideline recommendation value at doctor end by the server according to the medical guideline and the medical information of the patient comprises:
establishing a medical guideline database;
and performing operation screening in a medical guideline database according to the medical information of the patient, generating a guideline recommendation value and transmitting the guideline recommendation value to the doctor end.
8. The doctor-patient management method based on internet artificial intelligence as claimed in claim 7, wherein the specific method of performing operation screening in the medical guideline database according to the medical information of the patient, generating guideline recommendation values and transmitting to the doctor end is as follows:
assuming that the medical information of the structured patient is n pieces of information;
starting corresponding screening in a medical guideline database by using the 1 st piece of information to obtain a first set of guideline data;
correspondingly screening the 2 nd piece of information in the first set of guide data to obtain a second set of guide data;
correspondingly screening the 3 rd piece of information in the second set of guide data to obtain a third set of guide data;
calculating according to the above steps until a unique corresponding guideline suggestion value is obtained;
preferably, if the only corresponding guide suggestion value is not obtained until the last piece of information is filtered, the guide suggestion value is not generated.
9. The doctor-patient management method based on internet artificial intelligence as claimed in claim 6, wherein the doctor provides medical scheme and guidance through doctor end based on the suggested value of guide as follows:
if the doctor at the doctor end considers that the guideline recommendation value is reasonable, a medical recommendation is generated after confirmation and is transmitted to the patient end; if the doctor at the doctor end considers the guideline recommendation value to be unreasonable, the guideline recommendation value is modified into a reasonable medical recommendation and is transmitted to the patient end.
10. The doctor-patient management method based on internet artificial intelligence as claimed in claim 6, further comprising an upper and lower level doctor management method, specifically:
the superior doctor in the superior doctor sub-module can directly send information to the patient;
the subordinate doctors in the subordinate doctor sub-modules can directly send information to the patient within the authority, and meanwhile, the system can send the information to the superior doctors in the superior module;
the lower doctor in the lower doctor sub-module sends the diagnosis and treatment information of the super-authority to the higher doctor audit of the higher doctor module, and the system is transmitted to the patient side after the higher doctor audit is passed; and
the superior doctor has the permission of returning and modifying the audited diagnosis and treatment information;
preferably, the medical information of the patient includes basic information of the patient, and/or diagnostic treatment information, and/or assay, examination information, and/or medication information.
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