CN114155953A - Intelligent medical condition monitoring method based on big data - Google Patents
Intelligent medical condition monitoring method based on big data Download PDFInfo
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- CN114155953A CN114155953A CN202111345711.9A CN202111345711A CN114155953A CN 114155953 A CN114155953 A CN 114155953A CN 202111345711 A CN202111345711 A CN 202111345711A CN 114155953 A CN114155953 A CN 114155953A
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- 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
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- 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
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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
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Abstract
The invention provides an intelligent medical condition monitoring method based on big data, which is used for establishing information records of patient medical rescue, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the patient belongs, time points of disease occurrence and diagnosis, dictated disease conditions of patients or the relatives of the patients or the doctors on-site observation and shooting disease conditions; by giving important prompts to the information records of the hospitalized patients who are not cured, doctors can take medicines according to the symptoms on the basis of combining the previous treatment records of the symptoms or other symptoms.
Description
Technical Field
The invention relates to the field of intelligent medical treatment, in particular to an intelligent medical condition monitoring method based on big data.
Background
The smart medical treatment is a special medical treatment noun which is recently developed, is a set of technology integrating internet of things, cloud computing and the like, and is a medical service mode taking patient data as a center, the smart medical treatment adopts the technology of novel sensors, internet of things, communication and the like to combine with modern medical concepts, so that a regional medical information platform taking electronic health files as the center is constructed, business processes among hospitals are integrated, regional medical resources are optimized, online appointment and bidirectional referral of a cross-medical institution are realized, patient treatment processes are shortened, related procedures are reduced, medical resources are reasonably distributed, the smart medical treatment taking patients as the center is really realized, more high-tech technologies such as artificial intelligence, sensing technology and the like are integrated in the medical industry in the near future, the medical service is enabled to be truly intelligent, the prosperous development of medical services is promoted, and under the large background of new medical improvement in China, intelligent medical treatment is going into the lives of common people;
the problems that a domestic public medical management system is imperfect, the medical cost is high, channels are few, the coverage is low and the like beset the public, particularly, medical problems represented by a medical system with low efficiency, medical services with poor quality and current situations of difficult and expensive medical attendance are taken as main focus of social attention, big hospitals are full of troubles, community hospitals do not ask much attention, the patient visit procedures are complicated and the like due to reasons of unsmooth medical information, bipolarization of medical resources, incomplete medical supervision mechanism and the like, the problems become important factors influencing harmonious development of the society, and therefore a set of intelligent medical information network platform system needs to be established, so that the patients can enjoy safe, convenient and high-quality diagnosis and treatment services by paying basic medical expenses within short treatment time;
generally, when a patient goes to a hospital for a doctor, the correct department is selected, and an attending physician in the department diagnoses the patient by using western medicine detection and an ancient way for looking for a doctor, more importantly, the previous disease records or recent medical situations of the patient are also clearly known, but the oral content of the patient or relatives of the patient is often incomplete, especially, for chronic diseases and sudden diseases, misdiagnosis or poor medication situations are easily caused, so that a sound medical data statistical mechanism is established, and the improvement of the medical mechanism is undoubtedly promoted.
SUMMARY OF THE PATENT FOR INVENTION
Aiming at the defects in the prior art, the invention provides an intelligent medical condition monitoring method based on big data so as to promote the improvement and perfection of a medical mechanism.
According to a first aspect of the disclosed embodiments, a preferred embodiment of the present invention provides a method for intelligent medical condition monitoring based on big data, comprising:
establishing information records of patient medical rescue, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the consulted illness state belongs, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the relatives of the relatives or illness state observed and shot by the doctors in the field;
calling out patient medical information related to the information record;
obtaining and recording treatment information according to the patient hospitalizing information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises diagnosis condition information, medicine and operation treatment information, critical condition information about the condition of a patient, time for revisiting the condition of the patient for the first time and contact information;
and sending a return visit answer according to the time information of the disease condition of the initial return visit, and inputting feedback information of the patient or relatives of the patient.
According to a second aspect of the disclosed embodiments, a preferred embodiment of the present invention provides a method for intelligent medical condition monitoring based on big data, comprising;
the intelligent medical consultation platform is internally provided with a touch integrated circuit;
the display screen is arranged to cover the outer side of the touch integrated circuit to support display and input operation, and the touch integrated circuit is electrically connected with the processor;
the intelligent medical consultation platform comprises at least one camera, a face recognition system and a display, wherein the camera is arranged on the intelligent medical consultation platform and used for collecting the live-action information of the patient in the operation area, and the face recognition system is arranged in the processor and is suitable for recognizing the camera shooting content.
In one embodiment, the camera is arranged at the rear side of the light display screen and penetrates through the touch integrated circuit, so that the camera can collect facial features of a patient through the light display screen, the light display screen is composed of a backlight plate and a protective screen which are arranged in a front-back fit mode, light sources are arranged on the backlight plate in a matrix mode, and the camera is arranged in a light source gap area;
in an embodiment, the calling out the patient hospitalizing information associated with the information record includes:
calling the past information records of the patients, wherein the information records of the patients include patient identity information, information of hospitals, departments and doctors to which the consulted illness states belong, time points of illness state occurrence and diagnosis, the dictated illness state of the patients or the relatives of the patients or the doctor or the illness state observed and shot in the field, information of illness state diagnosis, critical condition information about illness states, medicine and operation treatment information, and sending feedback information for answering the patients or the relatives of the patients by revisiting;
and carrying out integrated prompt on the similar information records of the patients seeking medical services, wherein the reference classification of the integrated prompt is divided layer by layer according to department information and diagnosis condition information.
In an embodiment, the integrated prompting of the information records of the same kind of medical treatment of the patient further includes:
and performing key prompt on the information records of the patients who are not cured, wherein the information records of the patients who are not cured comprise new disease information in the near term, disease information being revisited and disease information judged as long-term diseases, and the key prompt mode is any one or a combination of a character prompt, a light prompt and a short message prompt.
In an embodiment, the sending of the return visit answer according to the time information of the initial return visit disease condition and the entering of the feedback information of the patient or the relative thereof include:
recording the feedback information of the patient for hospitalization, wherein the return visit answer result comprises a recovery result and one or a combination of a plurality of voice record, video record and text record;
if the feedback information is judged to be the patient hospitalizing information with the same disease recovery or new disease discovery, eliminating the previous visit answering mechanism, wherein the patient hospitalizing information is the diagnosis disease information;
and if the feedback information is judged not to be cured, repeatedly executing the sending back access response.
According to a third aspect of the disclosed embodiments, the present invention provides an intelligent medical condition monitoring device based on big data, comprising:
the acquisition module is configured to establish information records for rescuing patients, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the inquired illness states belong, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the doctors or illness state observed and shot in the field;
the information prompting module is configured to call out the patient hospitalizing information related to the information record;
the input module is configured to obtain and record treatment information according to the patient hospitalization information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises diagnosis disease information, medicine and operation treatment information, critical condition information about the disease condition, time of first revising the disease condition and contact information;
and the tracking module is configured to send out a return visit answer according to the time information of the initial return visit disease condition and enter feedback information of the patient or relatives of the patient.
In one embodiment, the information prompting module includes:
the downloading module is configured to call information records of previous patient hospitalization, wherein the information records of the previous patient hospitalization comprise patient identity information, information of hospitals, departments and doctors to which the consulted patient condition belongs, time points of patient condition occurrence and diagnosis, patient condition situations dictated by the patient or the same relatives of the patient or the doctor observed and photographed at the scene, information of the diagnosed patient condition, critical condition information about the patient condition, medicine and operation treatment information, and feedback information for revising the patient or the relatives of the patient is sent;
and the processing module is configured to carry out integration prompt on the information records of the similar patients for hospitalizing, and the reference classification of the integration prompt is divided layer by layer according to department information and diagnosis condition information.
In one embodiment, the processing module includes:
the reminding module is configured to give important prompts to the information records of the patients who are not cured, the information records of the patients who are not cured contain recent new disease information, disease information being revisited and disease information judged to be long-term diseases, and the important prompts are in any one or a combination of text prompts, light prompts and short message prompts.
In one embodiment, the tracking module includes:
the adding module is configured to record the feedback information of the patient for hospitalization, and the return visit answering result comprises a healing result and one or a combination of a voice record, a video record and a text record;
a reset module configured to eliminate the last issue of the return visit answer mechanism if the feedback information is determined as the patient hospitalization information of the same disease which is the diagnosis condition information;
and the return receipt module is configured to repeatedly execute the sending of the return access answer if the feedback information is judged to be not cured.
In one embodiment, the intelligent medical advice platform further comprises:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
establishing information records of patient medical rescue, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the consulted illness state belongs, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the relatives of the relatives or illness state observed and shot by the doctors in the field;
calling out patient medical information related to the information record;
and obtaining and recording treatment information according to the patient hospitalizing information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises information of the diagnosis condition of the patient, information of medicine and operation treatment, critical condition information about the condition of the patient, time of first revisiting the condition of the patient and contact information.
And sending a return visit answer according to the time information of the disease condition of the initial return visit, and inputting feedback information of the patient or relatives of the patient.
According to the technical scheme, the intelligent medical condition monitoring method based on big data provided by the invention has the following beneficial effects: according to the medical information processing method and device, the past medical information of the patient can be displayed most visually by processing the medical information record of the patient, the past medical history of the patient can be retrieved quickly, and sufficient analysis support can be provided for difficult and complicated diseases; by giving important prompts to the hospitalizing information records of the patients who are not cured, doctors can take medicines according to symptoms on the basis of combining the previous treatment records of the diseases or other diseases, so as to prevent the situation of medicine property conflict; by tracking the return visit of the patient's condition, the patient is greatly warmed, a good doctor-patient relationship can be established, the condition information is gradually improved, and a sound medical data statistical mechanism can be ensured to be established.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
In order to more clearly illustrate the patentable embodiments of the invention, reference will now be made to the appended drawings, which are briefly described as embodiments or as required in the prior art description. In all the drawings, the elements or parts are not necessarily drawn to actual scale.
FIG. 1 is an external view of an intelligent medical advice platform according to the present invention;
FIG. 2 is a schematic diagram illustrating a method for monitoring a medical condition based on big data according to the present invention;
FIG. 3 is a flow chart of a method for monitoring medical conditions based on big data according to the present invention;
FIG. 4 is a flowchart of step S102 of a method for monitoring medical conditions based on big data according to the present invention;
FIG. 5 is a flowchart of step S104 of a method for monitoring medical conditions based on big data according to the present invention;
FIG. 6 is a block diagram of an intelligent medical consultation platform according to the present invention;
fig. 7 is a schematic diagram of an intelligent medical consultation platform provided in the present invention.
Detailed Description
Embodiments of the patented technology of the present invention will be described in detail below with reference to the drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only used as examples, and the protection scope of the present invention is not limited thereby.
Fig. 1 is an appearance diagram of an intelligent medical condition monitoring method based on big data according to the present invention, and the intelligent medical condition monitoring method based on big data according to the present embodiment includes:
the intelligent medical consultation platform 120 is internally provided with a touch integrated circuit 121;
the upper part of the intelligent medical consultation platform 120 is designed to be inclined, the range of the inclination angle is between 15 and 30 degrees, a base for expanding the supporting range is usually arranged at the lower part of the intelligent medical consultation platform 120, a rubber anti-slip pad is bonded at the bottom surface of the base, and of course, the intelligent medical consultation platform 120 can also be carried on an intelligent mobile base, so that the intelligent medical consultation platform 120 is upgraded to an intelligent medical guide robot;
a display screen 130, which is disposed to cover the touch integrated circuit 121 to support display and input operations, wherein the touch integrated circuit 121 is electrically connected to the processor 122;
the touch integrated circuit 121 receives the deformation pressure of the display screen 130, so that the resistance value of the piezoresistor of the touch integrated circuit 121 changes, and thus the touch integrated circuit 121 can distinguish a key input instruction of a user according to the area and the time value of the change of the resistance value of the piezoresistor;
at least one camera 140 disposed on the intelligent medical consultation platform 120 for collecting real-scene information of a patient in an operation area, wherein a face recognition system adapted to recognize camera contents is disposed in the processor 122;
the setting of the face recognition system can prevent other people from inputting, after the patient inputs the self information, the next operation can be executed only by carrying out face recognition authentication, and it is worth mentioning that the intelligent medical condition acquisition terminal based on big data is used synchronously with the monitoring method and the device, different from the doctor operation terminal, the operation of changing the input of case information can not be executed, the intelligent medical condition acquisition terminal is used for inputting the self identity information by pressing keys of the patient, the past patient hospitalization information is given by the display screen 130, and the patient can also access the answering information in advance or in a complementary way through operation, so that the self case information is perfected, and great benefit is brought to the future hospitalization.
In one embodiment, as shown in fig. 2, the camera 140 is disposed behind the display screen 130 and penetrates the touch integrated circuit 121, so that the camera 140 can capture facial features of the patient through the display screen 130;
In one embodiment, as shown in fig. 2, the display screen 130 is composed of a backlight plate 131 and a protective screen 132, which are attached to each other in a front-back manner, the backlight plate 131 is provided with light sources 133 in a matrix, wherein the cameras 140 are disposed in the gap regions between the light sources 133;
Fig. 3 is a flowchart of a method for monitoring an intelligent medical condition based on big data according to the present invention, which is applied to an intelligent medical system terminal capable of displaying information such as pictures, videos, short messages, and WeChat. The terminal may be equipped with any content-capable terminal device such as a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, etc. In the present embodiment, as shown in fig. 1, the method for monitoring a medical condition based on big data includes the following steps S101 to S104:
in step S101, an information record for rescuing patients is established, where the information record includes patient identity information, information of hospitals, departments and physicians to which the consulted illness state belongs, time points of illness state occurrence and diagnosis, and illness state dictated by patients or their relatives or illness state observed and photographed by physicians on site;
after a terminal logs in an APP or webpage system, new information is selected for recording statistics, patient identity information is entered, default information of a hospital, a department and a doctor to which a patient condition belongs and the time point of diagnosis of the patient condition are automatically matched, and then the time point of occurrence of the patient condition, the morbidity dictated by the patient or the relatives of the patient or the same lines or the morbidity observed and shot by the doctor in the field are filled;
in step S102, calling out the patient hospitalizing information related to the information record;
the past hospitalizing information of the patient can be displayed most intuitively, the past medical history of the patient can be quickly retrieved, and sufficient analysis support is provided for difficult and complicated diseases;
in step S103, treatment information is obtained and recorded according to the patient hospitalization information, the equipment diagnosis and treatment information, and the doctor experience information, wherein the treatment information includes information on a diagnosis condition, information on a medicine and a surgical treatment, information on a critical condition of the condition, time of a first return visit to the condition, and contact information.
The equipment diagnosis and treatment information refers to detection opinions given by doctors according to the illness states of patients, and specifically comprises X-ray examination, various blood item detection, urine examination and the like, the doctors give diagnosis structures and treatment schemes according to the hospitalization information and the equipment diagnosis and treatment information by combining self practices, and the diagnosis structures and the treatment schemes are continuously recorded into a terminal system;
the critical condition information of the entered disease condition is classified into at least micro, light, medium and heavy levels, and the display prompt of the critical condition information is preferably in a form of highlighting distinction, for example: the micro disease condition shows 1 disease condition grade and green light is displayed; the mild disease condition is displayed as 2 disease grades, and yellow light is displayed; the middle disease condition shows 3 disease condition grades, and red light is displayed; the severe disease condition is displayed in 4 disease condition grades, and is dark red, which can help doctors to distinguish the quality of the disease condition from the system intuitively.
In step S104, a return visit answer is sent out according to the time information of the primary return visit disease condition, and feedback information of the patient or relatives thereof is recorded;
the time of the initial revisit of the disease is the time point when the physician judges the disease is improving or healing, for example: the recovery period of the cold fever is 3-7 days, the return visit time can be recorded to be 7 days, the patient's condition is returned after 7 days according to the contact information, the return visit mode comprises but is not limited to any one of social software voice communication, telephone communication, short message reminding, mail reminding and home return visit, the contact information is at least preset into two effective modes, so that the condition that one contact information cannot be effectively connected for later use can be conveniently avoided, and the condition that the condition monitoring information is lost can be avoided.
As shown in fig. 4, in step S102, the calling out the patient hospitalization information associated with the information record includes the following steps S201 to S202:
in step S201, a previous information record of the patient hospitalizing is retrieved, where the previous information record of the patient hospitalizing includes patient identity information, information of a hospital, a department and a doctor to which the patient is referred, time points of occurrence and diagnosis of the patient, dictated morbidity conditions of the patient or a co-worker thereof or morbidity conditions observed and photographed by the doctor on site, information of the diagnosed patient, critical condition information about the patient condition, and information of medicine and surgical treatment, and a feedback information of answering the patient or the patient is sent back;
in step S202, integrating and prompting information records of the similar patients for hospitalization, wherein reference classification of the integrating and prompting is divided layer by layer according to department information and diagnosis condition information;
after the identity information of the patient is input, the terminal system automatically downloads the medical record related to the identity information of the patient from the big data terminal, and sorts the medical record according to the department information and the diagnosis information, for example: the classification of 1 grade is medical department, surgery department, andrology department, ENT department and the like, wherein the classification of 2 grade of medical department is respiratory department, digestive department, neurology department, cardiovascular department, nephrology department, hematology department, immunity department, endocrinology department, oncology department and the like, wherein the diagnosis condition information of the oncology department is glioma, epilepsy, aneurysm, thalamus abscess, brain tumor and the like, wherein the prompting content only comprises the content of related existing medical records, and the page content can be simplified;
optionally, the medical records are sorted according to the information of departments and the information of diagnosed illness states, so that the information screening of critical conditions can be supported, the screening conditions are divided according to the grades of illness states, and particularly the previous critical illness state information of patients can be screened out, so that doctors can know the physical conditions of the patients better;
optionally, the medical records are sorted according to the department information and the diagnosis information, so that the time sorting of the medical records related to the patient identity information can be supported.
In an embodiment, as shown in fig. 4, in step S202, the performing integrated prompt on the information records related to the hospitalization of the patient further includes the following step S301:
in step S301, performing a key prompt on the hospitalized information record of the patient who is not cured, wherein the hospitalized information record of the patient who is not cured contains recent new disease information, disease information being revisited and disease information judged as a long-term disease, and the key prompt is in a form of any one or a combination of text prompt, light prompt and short message prompt;
on the basis of step S202, when the physician searches the medical record related to the patient identity information, there is a strong prompt for the existence of recent new disease information, currently revisited disease information, department information of disease information determined as long-term disease, and diagnosis condition information, for example, the physician is prompted to make a strong prompt for the internal medicine, so that the internal medicine word is displayed as red flashing, the oncology is displayed as red flashing after entering the internal medicine page, and the thalamus is displayed as red flashing after entering the oncology to induce the physician to search.
In an embodiment, as shown in fig. 5, in step S104, the issuing a response to visit according to the time information of the initial disease condition, and entering feedback information of the patient or the relative thereof includes:
in step S401, the feedback information about the hospitalization of the patient is recorded, and the response result includes a recovery result and one or more of a voice record, a video record and a text record.
For example, the following steps are carried out: the patient receives the return visit short message prompt sent by the intelligent medical system on the 7 th day of the cold hospitalization, the content is prompted to judge whether the patient's condition is cured and the curing condition, the content also comprises a link address for uploading photo records and video records, the patient can edit the return short message according to the self-response condition, and the link address can also be used for carrying out online return, so that more detailed information is provided.
In step S402, if the feedback information is determined as the patient hospitalization information for curing or finding a new same disease, eliminating the last issue of the return visit answer mechanism, where the patient hospitalization information is diagnosis condition information;
when the patient is not healed after hospitalizing and is free from transfer treatment, the intelligent medical system can detect the information of the patient for changing the doctor, the return visit answering mechanism is actively ended and a new return visit answering mechanism is started based on the information of the condition of the patient for diagnosis, and the past treatment records can be used as an important reference basis for the patient to hospitalize again, so that the conflict between the front treatment and the back treatment is prevented.
In step S403, if the feedback information is determined as not cured, repeatedly executing the sending of the return access response;
for example, the following steps are carried out: the patient receives the return visit short message prompt sent by the intelligent medical system on the 7 th day of the cold hospitalization, and the patient returns to be not cured, so that the patient can receive the return visit short message prompt sent by the intelligent medical system again on the 14 th day of the cold hospitalization; the return visit response is repeatedly sent until the patient recovers or the intelligent medical system detects the transfer information, so that the mechanism of the intelligent medical system is improved.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 6 is a block diagram of an intelligent medical condition monitoring device based on big data according to the present invention, wherein the intelligent medical consultation platform can be implemented as part or all of an electronic device through software, hardware or a combination of both. As shown in fig. 6, the intelligent medical consultation platform includes:
the acquisition module 1 is configured to establish information records for rescuing patients, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the consulted illness states belong, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the doctors or illness state observed and shot in the field;
the information prompting module 2 is configured to call out the patient hospitalizing information related to the information record;
and the input module 3 is configured to derive and record treatment information according to the patient hospitalization information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises diagnosis disease information, medicine and operation treatment information, critical condition information about the disease condition, time for primarily revisiting the disease condition and contact information.
And the tracking module 4 is configured to send out a return visit answer according to the time information of the initial return visit disease, and enter feedback information of the patient or relatives thereof.
According to the intelligent medical consultation platform disclosed by the embodiment of the disclosure, the past hospitalizing information of the patient can be displayed most intuitively by processing the information record of the patient for rescuing, the past medical history of the patient can be quickly retrieved, and sufficient analysis support can be provided for difficult and complicated diseases; by giving important prompts to the hospitalizing information records of the patients who are not cured, doctors can take medicines according to symptoms on the basis of combining the previous treatment records of the diseases or other diseases, so as to prevent the situation of medicine property conflict; by tracking the return visit of the patient's condition, the patient is greatly warmed, a good doctor-patient relationship can be established, the condition information is gradually improved, and a sound medical data statistical mechanism can be ensured to be established.
In an embodiment, as shown in fig. 6, the information prompting module 2 includes:
the downloading module 21 is configured to retrieve information records of previous patient hospitalizations, wherein the information records of patient hospitalization include patient identity information, information of hospitals, departments and doctors to which the consulted patient condition belongs, time points of patient condition occurrence and diagnosis, patient or co-workers dictating morbidity or morbidity observed and photographed by doctors on site, information of diagnosed patient condition, critical condition information about patient condition, medicine and operation treatment information, and feedback information of answering patient visits or relatives;
and the processing module 22 is configured to perform integrated prompt on the information records of the patients in the same category for hospitalizing, and the reference classification of the integrated prompt is divided layer by layer according to department information and diagnosis condition information.
In one embodiment, as shown in fig. 6, the processing module 22 includes:
the reminding module 221 is configured to perform key prompt on the information records of the patients who are not cured, the information records of the patients who are not cured contain recent new disease information, disease information being revisited and disease information judged as long-term diseases, and the key prompt mode is any one or a combination of several of text prompt, light prompt and short message prompt.
In one embodiment, as shown in fig. 6, the tracking module 4 includes:
an adding module 41 configured to record the feedback information for the patient to seek medical advice, wherein the answer-back result includes a healing result and one or more of a voice record, a video record and a text record;
a reset module 42 configured to eliminate the last issue of the response-to-visit mechanism if the feedback information is determined as the patient hospitalization information for the same disease, which is the diagnosis condition information;
a response module 43 configured to repeatedly execute the sending back access response if the feedback information is determined not to be cured.
With regard to the intelligent medical consultation platform in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be described in detail here.
The disclosed embodiment further provides an intelligent medical consultation platform, as shown in fig. 7, including:
a processor 101;
a memory 102 for storing instructions executable by the processor 101;
wherein the processor 101 is configured to:
establishing information records of patient medical rescue, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the consulted illness state belongs, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the relatives of the relatives or illness state observed and shot by the doctors in the field;
calling out patient medical information related to the information record;
and obtaining and recording treatment information according to the patient hospitalizing information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises information of the diagnosis condition of the patient, information of medicine and operation treatment, critical condition information about the condition of the patient, time of first revisiting the condition of the patient and contact information.
And sending a return visit answer according to the time information of the disease condition of the initial return visit, and inputting feedback information of the patient or relatives of the patient.
The processor 101 may be further configured to:
the calling out the patient hospitalizing information related to the information record comprises the following steps:
calling the past information records of the patients, wherein the information records of the patients include patient identity information, information of hospitals, departments and doctors to which the consulted illness states belong, time points of illness state occurrence and diagnosis, the dictated illness state of the patients or the relatives of the patients or the doctor or the illness state observed and shot in the field, information of illness state diagnosis, critical condition information about illness states, medicine and operation treatment information, and sending feedback information for answering the patients or the relatives of the patients by revisiting;
and carrying out integrated prompt on the similar information records of the patients seeking medical services, wherein the reference classification of the integrated prompt is divided layer by layer according to department information and diagnosis condition information.
The processor 101 may be further configured to:
the integrated prompt of the information records of the similar patients for hospitalizing further comprises:
and performing key prompt on the information records of the patients who are not cured, wherein the information records of the patients who are not cured comprise new disease information in the near term, disease information being revisited and disease information judged as long-term diseases, and the key prompt mode is any one or a combination of a character prompt, a light prompt and a short message prompt.
The processor 101 may be further configured to:
the method comprises the following steps of sending a return visit answer according to the time information of the disease condition of the initial return visit, and inputting feedback information of a patient or relatives of the patient, wherein the feedback information comprises the following steps:
recording the feedback information of the patient for hospitalization, wherein the return visit answer result comprises a recovery result and one or a combination of a plurality of voice record, video record and text record;
if the feedback information is judged to be the patient hospitalizing information with the same disease recovery or new disease discovery, eliminating the previous visit answering mechanism, wherein the patient hospitalizing information is the diagnosis disease information;
and if the feedback information is judged not to be cured, repeatedly executing the sending back access response.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In the description of the present patent application, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present patent. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above examples are only used to illustrate the technical solutions of the present invention, but not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; the modifications or substitutions do not make the essence of the corresponding technical solution depart from the scope of the technical solutions of the embodiments of the patent of the present invention, and the technical solutions are all covered in the claims and the specification of the patent of the present invention.
Claims (10)
1. An intelligent medical condition monitoring method based on big data is characterized by comprising the following steps:
establishing information records of patient medical rescue, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the consulted illness state belongs, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the relatives of the relatives or illness state observed and shot by the doctors in the field;
calling out patient medical information related to the information record;
obtaining and recording treatment information according to the patient hospitalizing information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises diagnosis condition information, medicine and operation treatment information, critical condition information about the condition of a patient, time for revisiting the condition of the patient for the first time and contact information;
sending a return visit answer according to the time information of the disease condition of the primary return visit, and inputting feedback information of the patient or relatives of the patient;
the intelligent medical consultation platform is internally provided with a touch integrated circuit;
the display screen is arranged to cover the outer side of the touch integrated circuit to support display and input operation, and the touch integrated circuit is electrically connected with the processor;
the intelligent medical consultation platform comprises at least one camera, a face recognition system and a display, wherein the camera is arranged on the intelligent medical consultation platform and used for collecting the live-action information of the patient in the operation area, and the face recognition system is arranged in the processor and is suitable for recognizing the camera shooting content.
2. The intelligent medical condition monitoring method based on big data as claimed in claim 1, wherein: the camera sets up and runs through touch-control integrated circuit in the screen rear side that shows light, makes the camera can see through the facial characteristic that shows light screen collection patient, it constitutes by the board in a poor light, the protection screen that the laminating set up around to show light screen, it is provided with the light source to be the matrix form on the board in a poor light, wherein, the camera is set up in light source clearance region.
3. The intelligent medical condition monitoring method based on big data as claimed in claim 1, wherein said calling out patient hospitalization information associated with said information record comprises:
calling the past information records of the patients, wherein the information records of the patients include patient identity information, information of hospitals, departments and doctors to which the consulted illness states belong, time points of illness state occurrence and diagnosis, the dictated illness state of the patients or the relatives of the patients or the doctor or the illness state observed and shot in the field, information of illness state diagnosis, critical condition information about illness states, medicine and operation treatment information, and sending feedback information for answering the patients or the relatives of the patients by revisiting;
and carrying out integrated prompt on the similar information records of the patients seeking medical services, wherein the reference classification of the integrated prompt is divided layer by layer according to department information and diagnosis condition information.
4. The intelligent medical condition monitoring method based on big data as claimed in claim 3, wherein the integrated prompt of the medical records of the same kind of patients comprises:
and performing key prompt on the information records of the patients who are not cured, wherein the information records of the patients who are not cured comprise new disease information in the near term, disease information being revisited and disease information judged as long-term diseases, and the key prompt mode is any one or a combination of a character prompt, a light prompt and a short message prompt.
5. The method as claimed in claim 1, wherein the step of issuing a response to the initial response to the time information of the disease condition comprises the step of:
recording the feedback information of the patient for hospitalization, wherein the return visit answer result comprises a recovery result and one or a combination of a plurality of voice record, video record and text record;
if the feedback information is judged to be the patient hospitalizing information with the same disease recovery or new disease discovery, eliminating the previous visit answering mechanism, wherein the patient hospitalizing information is the diagnosis disease information;
and if the feedback information is judged not to be cured, repeatedly executing the sending back access response.
6. The intelligent medical condition monitoring method based on big data as claimed in claim 1, wherein the intelligent medical consultation platform further comprises:
the acquisition module is configured to establish information records for rescuing patients, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the inquired illness states belong, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the doctors or illness state observed and shot in the field;
the information prompting module is configured to call out the patient hospitalizing information related to the information record;
the input module is configured to obtain and record treatment information according to the patient hospitalization information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises diagnosis disease information, medicine and operation treatment information, critical condition information about the disease condition, time of first revising the disease condition and contact information;
and the tracking module is configured to send out a return visit answer according to the time information of the initial return visit disease condition and enter feedback information of the patient or relatives of the patient.
7. The intelligent medical condition monitoring method based on big data as claimed in claim 1, wherein the information prompt module comprises:
the downloading module is configured to call information records of previous patient hospitalization, wherein the information records of the previous patient hospitalization comprise patient identity information, information of hospitals, departments and doctors to which the consulted patient condition belongs, time points of patient condition occurrence and diagnosis, patient condition situations dictated by the patient or the same relatives of the patient or the doctor observed and photographed at the scene, information of the diagnosed patient condition, critical condition information about the patient condition, medicine and operation treatment information, and feedback information for revising the patient or the relatives of the patient is sent;
and the processing module is configured to carry out integration prompt on the information records of the similar patients for hospitalizing, and the reference classification of the integration prompt is divided layer by layer according to department information and diagnosis condition information.
8. The intelligent medical condition monitoring method based on big data according to claim 7, wherein the processing module comprises:
the reminding module is configured to give important prompts to the information records of the patients who are not cured, the information records of the patients who are not cured contain recent new disease information, disease information being revisited and disease information judged to be long-term diseases, and the important prompts are in any one or a combination of text prompts, light prompts and short message prompts.
9. The intelligent big-data-based medical condition monitoring method as claimed in claim 6, wherein the tracking module comprises:
the adding module is configured to record the feedback information of the patient for hospitalization, and the return visit answering result comprises a healing result and one or a combination of a voice record, a video record and a text record;
a reset module configured to eliminate the last issue of the return visit answer mechanism if the feedback information is determined as the patient hospitalization information of the same disease which is the diagnosis condition information;
and the return receipt module is configured to repeatedly execute the sending of the return access answer if the feedback information is judged to be not cured.
10. The intelligent medical condition monitoring method based on big data as claimed in claim 1, wherein: wisdom medical consultation platform still includes:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
establishing information records of patient medical rescue, wherein the information records comprise patient identity information, information of hospitals, departments and doctors to which the consulted illness state belongs, time points of illness state occurrence and diagnosis, and illness state dictated by patients or relatives of the patients or the relatives of the relatives or illness state observed and shot by the doctors in the field;
calling out patient medical information related to the information record;
obtaining and recording treatment information according to the patient hospitalizing information, the equipment diagnosis and treatment information and the doctor experience information, wherein the treatment information comprises diagnosis condition information, medicine and operation treatment information, critical condition information about the condition of a patient, time for revisiting the condition of the patient for the first time and contact information;
and sending a return visit answer according to the time information of the disease condition of the initial return visit, and inputting feedback information of the patient or relatives of the patient.
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| KR20130139579A (en) * | 2012-06-13 | 2013-12-23 | 주식회사 지피앤피 | Method of providing medical information with mobile device |
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| KR20130139579A (en) * | 2012-06-13 | 2013-12-23 | 주식회사 지피앤피 | Method of providing medical information with mobile device |
| CN108364686A (en) * | 2017-01-26 | 2018-08-03 | 汪俊霞 | Intelligent diagnosis of disease system |
| CN110491524A (en) * | 2019-06-28 | 2019-11-22 | 中国传媒大学 | Duration internet diagnosis and treatment method, system, user terminal, doctor terminal and Cloud Server |
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