CN117238487A - Medical big data processing method and system - Google Patents

Abstract

The invention provides a medical big data processing method and system, which are used for receiving a construction requirement of a patient end, generating an upper structure, responding to an automatic update request to acquire automatic update data, comprising an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content, generating a middle structure according to the automatic diagnosis part and the automatic diagnosis time, acquiring content attributes of the automatic diagnosis content and generating a lower structure, obtaining a first patient structure tree, associating the automatic diagnosis content to the lower structure, responding to the active update request, receiving active update content of the patient end on a human organ model, updating the middle and lower structures of the first patient structure tree, obtaining a second patient structure tree, associating the active update content to the corresponding lower structure, receiving a display request of a doctor end, responding to selected information of the doctor end on the lower structure, invoking the corresponding diagnosis content to generate summary display data and corresponding access secret keys, responding to authorization information of the patient end, and sending the access secret keys to the doctor end.

Description

Medical big data processing method and system

Technical Field

The invention relates to the technical field of data processing, in particular to a medical big data processing method and system.

Background

The medical big data is an intelligent application system aiming at each organization, role and business activities in the medical diagnosis and treatment process by taking the whole data architecture of the medical and health industry as a foundation and a standard and the corresponding medical and health business data as an entrance and by a big data technology.

In the prior art, when a patient goes to a hospital for seeing a doctor and attends a doctor, a large amount of paper medical record reports and diagnosis information are required to be generated, and when the patient carries out a review or goes to other hospitals for carrying out the examination, more diagnosis information and data are unfavorable for the patient and doctors to carry out high-efficiency diagnosis and treatment aiming at specific disease conditions, a scheme for systematically combing the diagnosis information of the patient is always lacking, meanwhile, the real-time uploading, the storage and the viewing of the disease data are inconvenient, and the overall disease conditions of each patient cannot be generalized and managed.

Therefore, how to combine the medical data of the patient to generate the management strategy to assist the patient to manage the medical data becomes a problem to be solved urgently.

Disclosure of Invention

The embodiment of the invention provides a medical big data processing method and a medical big data processing system, which are combined with a medical treatment data generation management strategy of a patient to systematically comb the disease condition and diagnosis information of the patient, so that the disease condition data can be conveniently uploaded, stored and checked in real time, the high-efficiency diagnosis and treatment of the patient and a doctor aiming at the specific disease condition can be facilitated, and the management of the medical treatment data by the patient can be assisted.

In a first aspect of an embodiment of the present invention, a medical big data processing method is provided, including:

receiving a construction requirement of a patient end, generating an upper structure corresponding to the patient end, and responding to an automatic update request of the patient end to obtain automatic update data corresponding to the patient end in a doctor end, wherein the automatic update data comprises an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content;

generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, acquiring content attributes of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attributes, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure;

responding to the active updating request of the patient end, calling a human organ model to send to the patient end, receiving active updating content of the patient end on the human organ model, updating the middle structure and the lower structure of the first patient structure tree according to the active updating content to obtain a second patient structure tree, and acquiring the active updating content uploaded by the patient end to be related to the lower structure of the second patient structure tree;

Receiving a display request of a doctor terminal, sending a second patient structure tree of the patient terminal to the doctor terminal for display, responding to selected information of the doctor terminal on the lower structure, retrieving corresponding diagnosis content to generate summarized display data, generating an access key corresponding to the selected information, responding to authorization information of the patient terminal, and sending the access key to the doctor terminal.

In one possible implementation manner of the first aspect, optionally,

the method includes the steps that a construction requirement of a patient end is received, an upper structure corresponding to the patient end is generated, automatic update data corresponding to the patient end in a doctor end is obtained in response to an automatic update request of the patient end, the automatic update data comprise an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content, and the method comprises the following steps:

receiving a construction requirement of a patient end, generating a primary node corresponding to the patient end, and generating an upper structure corresponding to the patient end according to the primary node;

responding to the automatic update request of the patient end, and after the patient end is associated with the corresponding doctor end, transmitting the automatic update data in the corresponding doctor end to the patient end;

And analyzing and processing the automatic updating data to obtain an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content.

In one possible implementation manner of the first aspect, optionally,

the generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, obtaining a content attribute of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attribute, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure, including:

generating secondary nodes according to the automatic diagnosis parts, and generating tertiary nodes connected with the corresponding secondary nodes based on the automatic diagnosis time;

generating a middle structure according to the secondary nodes and the tertiary nodes, and connecting the secondary nodes of the middle structure with the primary nodes of the upper structure;

acquiring a content attribute of the automatic diagnosis content, wherein the content attribute is a diagnosis item attribute, generating a four-level node of a corresponding attribute according to the content attribute, and connecting the four-level node with a three-level node in the middle structure to obtain a first patient structure tree;

The automated diagnostic content is associated to a corresponding level four node at the infrastructure.

In one possible implementation manner of the first aspect, optionally,

the method for updating the middle structure and the lower structure of the first patient structure tree according to the active updating content comprises the steps of:

responding to the active updating request of the patient end, calling a human organ model, sending the human organ model to the patient end for display, receiving the active updating content of the human organ model by the patient end, and obtaining click position information, click time information and content attributes according to the active updating content;

if the secondary node corresponding to the click position information does not exist in the first patient structure tree, generating a secondary node connected with the primary node according to the click position information, and generating a tertiary node connected with the secondary node according to the click time information;

if the second-level node corresponding to the click position information exists in the first patient structure tree, deleting the click position information, generating a corresponding third-level node below the second-level node according to the click time information, and updating the middle structure of the first patient structure tree;

And acquiring the number of the content attributes, generating four-level nodes connected with the three-level nodes according to the number of the content attributes, and updating the lower structure of the first patient structure tree to obtain a second patient structure tree.

In one possible implementation manner of the first aspect, optionally,

the obtaining the active update content uploaded by the patient end is associated to the lower structure of the second patient structure tree, including:

receiving active updating content uploaded by a patient side and content attributes corresponding to the active updating content;

and associating the active updated content to a fourth level node in the lower structure of the second patient structure tree according to the content attribute.

In one possible implementation manner of the first aspect, optionally,

the method for generating summarized display data includes the steps of receiving a display request of a doctor terminal, sending a second patient structure tree of the patient terminal to the doctor terminal for display, responding to selected information of the doctor terminal on the lower structure, retrieving corresponding diagnosis content to generate summarized display data, and the method comprises the following steps:

receiving a display request of a doctor end, sending a second patient structure tree of the patient end to the doctor end for display, responding to selected information of the doctor end on the lower structure, and determining a selected quaternary node as a target quaternary node according to the selected information;

And calling the diagnosis content corresponding to the target level four node to generate summarized display data.

In one possible implementation manner of the first aspect, optionally,

the generating an access key corresponding to the selected information, responding to the authorization information of the patient end, and sending the access key to the doctor end, including:

taking the second-level node and the third-level node corresponding to the target fourth-level node as a target second-level node and a target third-level node, and obtaining a first character according to the number of the fourth-level nodes;

combining preset letters corresponding to the target secondary nodes to obtain second characters, and combining time information corresponding to the target tertiary nodes to obtain third characters, wherein the time information comprises automatic diagnosis time and click time information;

combining the first character, the second character and the third character to obtain a combined character, and carrying out hash operation on the combined character to obtain an access key corresponding to the selected information;

and responding to the authorization information of the patient side, and sending the access key to the doctor side.

In one possible implementation manner of the first aspect, optionally,

Receiving hidden demand information of a patient end, and screening a middle structure and a lower structure corresponding to the hidden demand information in the first patient structure tree and/or the second patient structure tree according to the hidden demand information to generate a structure to be hidden;

and hiding the structure to be hidden, and updating the first patient structure tree and/or the second patient structure tree to obtain an updated first patient structure tree and/or second patient structure tree.

In one possible implementation manner of the first aspect, optionally,

the hiding the structure to be hidden, and updating the first patient structure tree and/or the second patient structure tree to obtain an updated first patient structure tree and/or second patient structure tree, and further comprising:

obtaining the number of hidden nodes in a structure to be hidden, generating a fourth character according to the number of hidden nodes, carrying out hash operation on the fourth character and the combined character to obtain a hidden information access key, and accessing the hidden structure according to the hidden information access key.

In a second aspect of an embodiment of the present invention, there is provided a medical big data processing system including:

The receiving unit is used for receiving the construction requirement of the patient end, generating an upper structure corresponding to the patient end, responding to the automatic update request of the patient end, and acquiring automatic update data corresponding to the patient end in a doctor end, wherein the automatic update data comprises an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content;

the connection unit is used for generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, acquiring the content attribute of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attribute, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure;

the updating unit is used for responding to the active updating request of the patient end, calling a human organ model, sending the human organ model to the patient end, receiving active updating content of the human organ model by the patient end, updating the middle structure and the lower structure of the first patient structure tree according to the active updating content to obtain a second patient structure tree, and acquiring the active updating content uploaded by the patient end to be related to the lower structure of the second patient structure tree;

The sending unit receives a display request of a doctor terminal, sends a second patient structure tree of the patient terminal to the doctor terminal for display, responds to the selected information of the doctor terminal on the lower structure, invokes corresponding diagnosis content to generate summarized display data, generates an access key corresponding to the selected information, responds to the authorization information of the patient terminal, and sends the access key to the doctor terminal.

According to the technical scheme provided by the invention, if the patient makes a doctor at the hospital, doctor information of the patient is automatically uploaded to a medical system of the hospital according to the doctor condition of the patient. And automatically identifying personal information of the patient, diagnosis time of the diagnosis site, and diagnosis related information. Corresponding four nodes are generated from the data. A patient structure tree is generated based on the four nodes. If the patient is in a hospital, the patient manually inputs the information of the patient in the hospital into a medical system of the hospital to update the previous patient structure tree, so as to obtain a new patient structure tree. According to the new patient structure tree. When a doctor makes a visit, selecting corresponding target data, generating summarized display data, carrying out hash value operation according to the quantity and the content of the selected target data to obtain an access key, and if the doctor needs to check, accessing the key to a patient before accessing. The medical treatment data of the patient is combined to generate a management strategy, the condition and the diagnosis information of the patient are systematically combed, the condition data are uploaded, stored and checked conveniently in real time, and the medical treatment data management system is favorable for the patient and the doctor to carry out high-efficiency diagnosis and treatment aiming at the condition of the specific condition and assists the patient to manage the medical treatment data.

According to the technical scheme provided by the invention, the primary node is generated according to personal information of a patient, the secondary node is generated according to the diagnosis part of the patient, the tertiary node is generated according to the diagnosis time of the patient, and the quaternary node is generated according to the diagnosis content of the patient. After four nodes are connected, the primary node corresponds to an upper structure, the secondary node corresponds to a middle structure, and the tertiary node corresponds to a lower structure. And (5) carrying out association according to different information corresponding to different nodes to generate a patient structure tree. Patient's disease data information structuring can be clearly understood to patient's disease structure tree, and the doctor of the different hospitals of being convenient for is when looking over patient's disease information, clicks the disease information that different nodes on the structure tree can look over patient's different dimensionalities, and the relevant circumstances of disease of efficient and convenient understanding patient is favorable to protecting the medical data information that is related with patient's individual simultaneously. The patient disease condition and the diagnosis information are systematically combed, so that the disease data can be conveniently uploaded, stored and checked in real time, the patient and the doctor can be effectively diagnosed and treated according to the specific disease condition, and the patient can be assisted to manage the hospitalized data.

According to the technical scheme provided by the invention, a doctor needs to check the condition of the patient, and because the doctor needs to know the condition diagnosis information before the patient, the doctor needs to send a display request for displaying the condition information of the patient to the patient through the doctor end on the patient system, so that after the patient receives the display request of the doctor end at the patient end, the second patient structure tree corresponding to the patient can be sent to the doctor end for display, and the doctor can check the condition information of the patient, so that more accurate diagnosis can be made for the condition of the patient. The doctor end generates a display data table of the selected information in the lower structure of the second patient structure tree, and can display the diagnosis content of the patient partially according to the selection requirement. After determining the selected information in the summary display data, the system performs hash operation according to the selected information to obtain an access key corresponding to the selected information. After the access key is generated, a verification instruction whether to authorize access is sent to the patient side, and because the selected information is the individual disease information of the patient, the patient needs to confirm the access side so as to prevent the individual disease information of the patient from being revealed. When the patient end authorizes to access, the access key is sent to the corresponding doctor end in response to the authorization information of the patient end, and the doctor end inputs the corresponding password after receiving the access key, so that the patient end can check. And a management strategy is generated by combining the medical treatment data of the patient, and the condition and the diagnosis information of the patient are systematically combed, so that the patient and a doctor can perform high-efficiency diagnosis and treatment aiming at the specific condition, and the patient is assisted to manage the medical treatment data.

Drawings

FIG. 1 is a schematic flow chart of a medical big data processing method according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a first patient tree according to an embodiment of the present invention.

Detailed Description

The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.

The invention provides a medical big data processing method, as shown in figure 1, which specifically comprises the following steps:

step S1, receiving a construction requirement of a patient end, generating an upper structure corresponding to the patient end, and responding to an automatic update request of the patient end to obtain automatic update data corresponding to the patient end in a doctor end, wherein the automatic update data comprises an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content;

the patient end is the port corresponding to the patient in the patient system of the hospital. The patient can view and upload his or her own relevant patient information through the patient side. After a patient looks at a hospital, the patient can generate a medical diagnosis book belonging to the patient, and the construction requirement of the patient end is received according to the medical diagnosis book of the patient. The construction requirement is that the subsequent construction of the structural tree is required according to the relevant illness state information of the patient.

Wherein, after receiving the construction requirement of the patient end, a superstructure corresponding to the patient end is generated. The upper structure is personal basic information related to the patient, such as the name, sex, age, height and weight of the patient. The upper structure is used for conveniently establishing a structural tree corresponding to the disease of the patient, so that doctors of different hospitals can conveniently check the disease information of different dimensions of the patient, and the medical data information related to the patient can be protected.

Specifically, the automatic update request at the patient end is responded, and the automatic update request is a request for automatically updating the disease diagnosis condition of the patient, related disease examination items and disease diagnosis results through a patient system of the hospital according to the medical diagnosis book of the patient at the hospital.

Similarly, the doctor end is the port corresponding to the doctor in the patient system of the hospital. The doctor can upload diagnostic information for the patient and relevant order information for the patient through the doctor's side.

It should be noted that, after the patient uploads the relevant patient information of the patient automatically on the patient system of one hospital, the doctor end of the hospital can check the patient information of the patient aiming at the corresponding department, if the patient goes to other hospitals for treatment, the doctor end wants to check the relevant disease information of the patient on the patient system of other hospitals, and then the doctor end needs to send a check request or fill in check verification information to the patient.

It is understood that the automatic update request and the automatic update data correspond to each other. When responding to the automatic update request of the patient end, the automatic update data corresponding to the patient end in the doctor end is automatically acquired. The automatic updating data corresponding to the patient can be automatically uploaded to a patient system of a hospital, and the automatic updating data in the system is adaptively matched with the symptoms of the patient, so that the follow-up checking of the information of the patient is facilitated.

The automatic updating data is that a doctor generates a series of diagnosis information and relevant doctor advice information related to the symptoms of the patient according to the symptoms of the patient after diagnosing.

Wherein, the automatic update data includes an automatic diagnosis site, an automatic diagnosis time, and an automatic diagnosis content. An automatic diagnosis site is understood to mean a site of a disorder where a patient needs to be diagnosed, for example, a head, five sense organs, limbs, liver, etc., in relation to a different part or organ of the patient's body. An automatic diagnostic time is understood to be the diagnostic time that the patient has uploaded into the patient system after a diagnosis in the hospital. The automatic diagnosis content is understood as items and results of diagnosis examination, items and results of diagnosis assay, medical information about the disorder, and order information according to the disorder of the patient, which the patient specifically needs to perform. For example, the diagnostic examination may be performed by CT, nuclear magnetic resonance, electrocardiography, color ultrasound, etc. Items for diagnostic assays may be blood routine tests, urine routine tests, stool routine tests, and the like.

In one possible implementation manner, the step S1, (receiving a construction requirement of a patient end, generating an upper structure corresponding to the patient end, and responding to an automatic update request of the patient end to obtain automatic update data corresponding to the patient end in a doctor end, where the automatic update data includes an automatic diagnosis part, an automatic diagnosis time and an automatic diagnosis content) specifically includes the following steps S11-S13, which specifically include:

step S11, receiving a construction requirement of a patient end, generating a primary node corresponding to the patient end, and generating an upper structure corresponding to the patient end according to the primary node;

the technical scheme provided by the invention has the construction requirement that the follow-up construction of the structural tree is required according to the relevant illness state information of the patient. After receiving the construction requirement of the patient end, generating a primary node corresponding to the patient end. The first-level node is personal basic information related to the patient, such as the name, sex, age, height and weight of the patient. A superstructure corresponding to the patient end is generated from the primary nodes. The upper structure is used for conveniently establishing a structural tree corresponding to the disease of the patient, so that doctors of different hospitals can conveniently check the disease information of different dimensions of the patient, and the medical data information related to the patient can be protected.

Step S12, responding to the automatic update request of the patient end, and after the patient end is associated with the corresponding doctor end, transmitting the automatic update data in the corresponding doctor end to the patient end;

according to the technical scheme provided by the invention, the automatic update request at the patient end is responded, namely, the automatic update request is a request for automatically updating the disease diagnosis condition of the patient and related disease examination items and disease diagnosis results through a patient system of the hospital according to the medical diagnosis book of the patient in the hospital. The doctor end is the port corresponding to the doctor in the patient system of the hospital. The doctor can upload diagnostic information for the patient and relevant order information for the patient through the doctor's side.

The automatic update data in the corresponding physician side is transmitted to the patient side. It is understood that the automatic update request and the automatic update data correspond to each other. When responding to the automatic update request of the patient end, the automatic update data corresponding to the patient end in the doctor end is automatically acquired. The automatic updating data corresponding to the patient can be automatically uploaded to a patient system of a hospital, and the automatic updating data in the system is adaptively matched with the symptoms of the patient, so that the follow-up checking of the information of the patient is facilitated.

The automatic updating data is that a doctor generates a series of diagnosis information and relevant doctor advice information related to the symptoms of the patient according to the symptoms of the patient after diagnosing.

And step S13, analyzing and processing the automatic updating data to obtain an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content.

According to the technical scheme provided by the invention, the automatic updating data is analyzed and processed to obtain the automatic diagnosis part, the automatic diagnosis time and the automatic diagnosis content. An automatic diagnosis site is understood to mean a site of a disorder where a patient needs to be diagnosed, for example, a head, five sense organs, limbs, liver, etc., in relation to a different part or organ of the patient's body. An automatic diagnostic time is understood to be the diagnostic time that the patient has uploaded into the patient system after a diagnosis in the hospital. The automatic diagnosis content is understood as items and results of diagnosis examination, items and results of diagnosis assay, medical information about the disorder, and order information according to the disorder of the patient, which the patient specifically needs to perform. For example, the diagnostic examination may be performed by CT, nuclear magnetic resonance, electrocardiography, color ultrasound, etc. Items for diagnostic assays may be blood routine tests, urine routine tests, stool routine tests, and the like.

S2, generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, acquiring content attributes of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attributes, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure;

according to the technical scheme provided by the invention, the automatic diagnosis part is connected with the upper structure, then the automatic diagnosis time is connected with the automatic diagnosis part, and the corresponding middle structure is generated according to the connection relation between the automatic diagnosis part and the automatic diagnosis time from top to bottom of the upper structure, wherein the middle structure is known to be composed of the automatic diagnosis part and the automatic diagnosis time. The middle structure is used for conveniently establishing a structural tree corresponding to the disease of the patient, so that doctors of different hospitals can conveniently check the disease information of different dimensions of the patient, and the medical data information related to the patient can be protected.

Likewise, the content attribute of the automatic diagnosis content is acquired. The content attribute is what the diagnostic information specifically included in the automatic diagnostic content is, and for example, the content attribute of the automatic diagnostic content may be a diagnostic item of the patient, may be test information of the patient, may be a medical report or order information of the patient, or the like. The content attributes of the automatic diagnosis content are respectively connected below the automatic diagnosis time in the middle structure, and a lower structure connected with the middle structure is generated. It is known that the infrastructure is composed of a plurality of different content attributes of the automatic diagnostic content in common.

In this way, a first patient structural tree is built from the superstructure, the mid-structure and the substructure. And finally, according to the content attribute of the automatic diagnosis content, sequentially filling the automatic diagnosis content in the lower structure.

In one possible implementation manner, the step S2 of generating a middle structure connected to the upper structure (according to the automatic diagnosis part and the automatic diagnosis time), obtaining a content attribute of the automatic diagnosis content, generating a lower structure connected to the middle structure based on the content attribute, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure) specifically includes the following steps S21-S24, which specifically include:

s21, generating secondary nodes according to the automatic diagnosis parts, and generating tertiary nodes connected with the corresponding secondary nodes based on the automatic diagnosis time;

according to the technical scheme provided by the invention, the secondary node is generated according to the automatic diagnosis part, and then the automatic diagnosis time is connected with the secondary node generated according to the automatic diagnosis part to generate the corresponding tertiary node.

Step S22, a middle structure is generated according to the secondary nodes and the tertiary nodes, and the secondary nodes of the middle structure are connected with the primary nodes of the upper structure;

According to the technical scheme, the secondary nodes generated according to the automatic diagnosis part and the tertiary nodes generated according to the automatic diagnosis time are respectively connected with the primary nodes in the upper structure in sequence according to the position relationship from top to bottom, namely the primary nodes are connected with the secondary nodes, and the secondary nodes are connected with the tertiary nodes. A corresponding middle structure is generated.

It is known that the mid-structure is composed of both an automatic diagnosis site and an automatic diagnosis time. The middle structure is used for conveniently establishing a structural tree corresponding to the disease of the patient, so that doctors of different hospitals can conveniently check the disease information of different dimensions of the patient, and the medical data information related to the patient can be protected.

Step S23, obtaining content attributes of the automatic diagnosis content, wherein the content attributes are diagnosis item attributes, generating four-level nodes of corresponding attributes according to the content attributes, and connecting the four-level nodes with three-level nodes in the middle structure to obtain a first disease structure tree;

according to the technical scheme provided by the invention, the content attribute of the automatic diagnosis content is obtained. The content attribute is a diagnosis item attribute, and the diagnosis item attribute can be test information of a patient, a medical report or doctor advice information of the patient and the like.

Specifically, four-level nodes of corresponding attributes are generated according to the content attributes. And respectively connecting the four-level nodes below the three-level nodes to obtain a first disease structure tree. The first disease structure tree is a data structure tree established according to disease information of the patient. The structure tree can clearly structure the disease data information of the patient, so that doctors in different hospitals can check the disease information of different dimensions of the patient by clicking different nodes on the structure tree when checking the disease information of the patient, the disease related condition of the patient can be known efficiently and conveniently, and the medical data information related to the patient can be protected.

Step S24, associating the automatic diagnosis content to a corresponding level four node at the lower structure.

According to the technical scheme provided by the invention, the content attributes of the automatic diagnosis content are respectively connected below the automatic diagnosis time in the middle structure, so that a lower structure connected with the middle structure is generated. It will be appreciated that the infrastructure is composed of a plurality of different diagnostic item attributes of the automated diagnostic content in common. These diagnostic item attributes are filled in at the corresponding four-level nodes at the infrastructure, respectively.

Step S3, responding to the active updating request of the patient end, calling a human organ model, sending the human organ model to the patient end, receiving active updating content of the human organ model by the patient end, updating the middle structure and the lower structure of the first patient structure tree according to the active updating content to obtain a second patient structure tree, and acquiring the active updating content uploaded by the patient end to be related to the lower structure of the second patient structure tree;

according to the technical scheme provided by the invention, patients can visit not only in hospitals but also in private clinics in real life. Then after the private clinic visits, the doctor of the clinic opens a disease diagnosis book for the patient, which cannot be automatically uploaded to the patient system of the hospital, and cannot be correlated with the disease corresponding to the patient. At this time, the relevant information on the condition diagnosis book which is to be treated outside needs to be manually uploaded to the patient system in the hospital.

Specifically, the active update request at the patient end is responded, and the active update request is a request that the patient manually uploads the information of the external doctor to the patient system of the hospital. And taking a human organ model and sending the human organ model to a patient end, wherein the human organ model can be understood as a model which is pre-established according to a preset scale and is formed by a system according to human organs, and thumbnail images of each human organ or part are correspondingly displayed on the model. The patient can click the corresponding organ thumbnail on the model according to the disease position which is diagnosed by the personal requirement, and the active updating content of the patient end to the human organ model is received.

The active updating content is the disease diagnosis information of the patient when the patient visits outside the hospital. After clicking the corresponding disease position on the human organ model, the patient judges whether the disease condition exists before the clicked disease position, and then manually updates the disease diagnosis information in the out-of-hospital treatment to the middle structure and the lower structure of the first disease structure tree to obtain a second disease structure tree. And acquiring the active updated content uploaded by the patient end, analyzing, and then synchronously associating to the lower structure of the second patient structure tree.

In one possible implementation manner, step S3, (in response to the active update request of the patient end, the method invokes a human organ model and sends the human organ model to the patient end, receives active update content of the human organ model by the patient end, and updates a middle structure and a lower structure of the first patient structure tree according to the active update content to obtain a second patient structure tree), specifically includes the following steps S31-S34, which specifically include:

step S31, responding to the active updating request of the patient end, calling a human organ model, sending the human organ model to the patient end for display, receiving the active updating content of the human organ model by the patient end, and obtaining click position information, click time information and content attributes according to the active updating content;

According to the technical scheme provided by the invention, the active update request at the patient end is responded, and the active update request is a request that the patient manually uploads the information of the external doctor to the patient system of the hospital. And taking a human organ model and sending the human organ model to a patient end, wherein the human organ model can be understood as a model which is pre-established according to a preset scale and is formed by a system according to human organs, and thumbnail images of each human organ or part are correspondingly displayed on the model.

After the human body organ model is sent to the patient end for display, the patient can diagnose the disease position according to personal needs, click the corresponding organ thumbnail on the model, and receive the active updating content of the human body organ model by the patient end. The active updating content is the disease diagnosis information of the patient when the patient visits outside the hospital.

And obtaining click position information, click time information and content attributes according to the actively updated content. The click position information is the click information of the diagnosis position, and whether the disease condition exists before the clicked disease position is judged. The click time information is click information according to the diagnosis time, and whether the clicked diagnosis time is preceded by a historical diagnosis time is judged.

Step S32, if the secondary node corresponding to the click position information does not exist in the first patient structure tree, generating a secondary node connected with the primary node according to the click position information, and generating a tertiary node connected with the secondary node according to the click time information;

according to the technical scheme provided by the invention, if the second-level node corresponding to the click position information does not exist in the first patient structural tree, the condition that the position of the patient has no condition before is the new condition. And then, according to the click position information, a secondary node connected with the primary node is newly built, and according to the click time information, a tertiary node connected with the secondary node corresponding to the click position information is newly built.

Step S33, deleting the clicking part information if the secondary node corresponding to the clicking part information exists in the first patient structure tree, generating a corresponding tertiary node below the secondary node according to the clicking time information, and updating the middle structure of the first patient structure tree;

according to the technical scheme provided by the invention, if the secondary node corresponding to the click part information exists in the first patient structural tree, the history symptoms exist in the part of the patient before the patient is indicated. Then the click site information is deleted. And generating corresponding tertiary nodes below the secondary nodes corresponding to the previous diagnosis positions according to the click time information, and updating the middle structure of the first patient structure tree.

Step S34, obtaining the number of the content attributes, generating four-level nodes connected with the three-level nodes according to the number of the content attributes, and updating the lower structure of the first patient structure tree to obtain a second patient structure tree.

According to the technical scheme provided by the invention, the number of the content attributes corresponding to the active updated content is obtained, the corresponding number of four-level nodes connected with three-level nodes is generated according to the number of the content attributes, and the lower structure of the first patient structure tree is updated to obtain the second patient structure tree.

In one possible implementation manner, the technical solution provided in the present invention, in step S3, (obtaining that the active update content uploaded by the patient end is associated to the lower structure of the second patient structure tree) specifically includes the following steps S35-S36, which specifically include:

step S35, receiving active update content uploaded by a patient side and content attributes corresponding to the active update content;

according to the technical scheme provided by the invention, the condition diagnosis information manually updated by the patient during the out-of-hospital visit is received, and the corresponding content attribute is obtained according to the active updated content.

Step S36, associating the active updated content to a fourth level node in the lower structure of the second patient structure tree according to the content attribute.

According to the technical scheme provided by the invention, the active updated content is associated to the four-level node in the lower structure of the second patient structure tree according to the content attribute.

And S4, receiving a display request of a doctor terminal, transmitting a second patient structure tree of the patient terminal to the doctor terminal for display, responding to the selected information of the doctor terminal on the lower structure, retrieving corresponding diagnosis content to generate summarized display data, generating an access key corresponding to the selected information, responding to the authorization information of the patient terminal, and transmitting the access key to the doctor terminal.

According to the technical scheme provided by the invention, the display request of the doctor terminal can be understood that the doctor needs to check the condition of the patient, and because the doctor needs to know the condition diagnosis information before the patient, the doctor needs to send a display request for displaying the condition information of the patient to the patient through the doctor terminal on the patient system, so that after the patient receives the display request of the doctor terminal at the patient terminal, the patient can send a second patient structure tree corresponding to the patient to the doctor terminal for display, and the doctor can check the condition information of the patient, so that more accurate diagnosis can be made for the condition of the patient.

The doctor selects part of the diagnosis contents in the lower structure of the second patient structure tree, for example, the doctor only sees the previous doctor's advice information and the medical information, and only two diagnosis contents are selected from the lower structure of the second patient structure tree to be displayed to the doctor. Therefore, corresponding diagnosis contents are called in response to the selected information of the understructure of the doctor end to generate summarized display data. It can be understood that the summary display data is a display data table generated according to information selected by the doctor end in the lower structure of the second patient structure tree, and the diagnosis content of the patient can be partially displayed according to the selection requirement.

It should be noted that after determining the selected information in the summary display data, the system performs hash operation according to the selected information to obtain an access key corresponding to the selected information. The access key is the password which needs to be input when accessing the selected information. After the access key is generated, a verification instruction whether to authorize access is sent to the patient side, and because the selected information is the individual disease information of the patient, the patient needs to confirm the access side so as to prevent the individual disease information of the patient from being revealed. When the patient end authorizes to access, the access key is sent to the corresponding doctor end in response to the authorization information of the patient end, and the doctor end inputs the corresponding password after receiving the access key, so that the patient end can check.

In a possible implementation manner, in step S4, (receiving a display request from a doctor end, sending a second patient structure tree of the patient end to the doctor end for display, and responding to selected information of the doctor end on the lower structure, retrieving corresponding diagnosis content to generate summarized display data), the method specifically includes the following steps S41-S42, which specifically include the following steps:

step S41, receiving a display request of a doctor end, transmitting a second patient structure tree of the patient end to the doctor end for display, responding to selected information of the doctor end on the lower structure, and determining a selected quaternary node as a target quaternary node according to the selected information;

according to the technical scheme provided by the invention, the display request of the doctor terminal can be understood that the doctor needs to check the condition of the patient, and because the doctor needs to know the condition diagnosis information before the patient, the doctor needs to send a display request for displaying the condition information of the patient to the patient through the doctor terminal on the patient system, so that after the patient receives the display request of the doctor terminal at the patient terminal, the patient can send a second patient structure tree corresponding to the patient to the doctor terminal for display, and the doctor can check the condition information of the patient, so that more accurate diagnosis can be made for the condition of the patient.

The doctor selects part of the diagnosis contents in the lower structure of the second patient structure tree, for example, the doctor only sees the previous doctor's advice information and the medical information, and only two diagnosis contents are selected from the lower structure of the second patient structure tree to be displayed to the doctor. Therefore, in response to the selection information of the doctor end on the lower structure, the corresponding selected quaternary node is used as the target quaternary node according to the selection information, and the target quaternary node is known to be the quaternary node selected by the doctor.

And S42, calling the diagnosis content corresponding to the target level four node to generate summarized display data.

According to the technical scheme provided by the invention, diagnosis contents corresponding to the target level four nodes are called to generate summarized display data. It can be understood that the summary display data is a display data table generated according to information selected by the doctor end in the lower structure of the second patient structure tree, and the diagnosis content of the patient can be partially displayed according to the selection requirement.

In one possible implementation manner, the technical solution provided in the present invention includes the following steps S43-S46, specifically, the following steps (S4-S46) are included:

Step S43, taking the secondary node and the tertiary node corresponding to the target quaternary node as a target secondary node and a target tertiary node, and obtaining a first character according to the number of the quaternary nodes;

according to the technical scheme provided by the invention, the secondary node and the tertiary node corresponding to the target quaternary node are marked as the target secondary node and the target tertiary node. Counting the number of the four-level nodes, and obtaining the first character according to the number of the four-level nodes. The first character is the first character for subsequent hash operation.

Step S44, carrying out combination processing on preset letters corresponding to the target secondary nodes to obtain second characters, and carrying out random combination processing on time information corresponding to the target tertiary nodes to obtain third characters, wherein the time information comprises automatic diagnosis time and click time information;

according to the technical scheme provided by the invention, the preset letter corresponding to the target secondary node is preset for a person, for example, the preset letter is T if the target secondary node assumes that the diagnosis part is a leg. And combining the preset letters corresponding to the target secondary nodes to obtain a second character, wherein the second character is the second character for subsequent hash operation.

And meanwhile, carrying out random combination processing on the time information corresponding to each target three-level node to obtain a third character, wherein the third character is the third character for carrying out subsequent hash operation. Wherein the time information includes auto-diagnosis time and click time information.

Step S45, combining the first character, the second character and the third character to obtain a combined character, and carrying out hash operation on the combined character to obtain an access key corresponding to the selected information;

according to the technical scheme provided by the invention, the first character, the second character and the third character are combined according to the sequence to obtain the combined character. And carrying out hash operation on the combined characters to obtain an access key corresponding to the selected information. The access key is the password which needs to be input when accessing the selected information.

Step S46, in response to the authorization information of the patient end, the access key is sent to the physician end.

According to the technical scheme provided by the invention, after the access secret key is generated, a verification instruction whether access is authorized is sent to the patient side, and because the selected information is the individual disease information of the patient, the patient needs to confirm the access side so as to prevent the individual disease information of the patient from being revealed. When the patient end authorizes to access, the access key is sent to the corresponding doctor end in response to the authorization information of the patient end, and the doctor end inputs the corresponding password after receiving the access key, so that the patient end can check.

In one possible implementation manner, after step S4, (generating an access key corresponding to the selected information, responding to the authorization information of the patient end, and sending the access key to the doctor end), the technical solution provided by the present invention further includes the following steps S47-S48, specifically as follows:

step S47, receiving hidden requirement information of a patient end, and screening middle structures and lower structures corresponding to the hidden requirement information in the first patient structure tree and/or the second patient structure tree according to the hidden requirement information to generate a structure to be hidden;

according to the technical scheme provided by the invention, the hidden requirement information is the requirement information that the patient wants to hide other symptoms except the current symptoms when the patient visits in other hospitals. And screening the middle structure and the lower structure corresponding to the hidden demand information in the first patient structure tree and/or the second patient structure tree according to the hidden demand information of the patient, and generating a structure to be hidden. The structure to be hidden is the structure corresponding to the relevant disease information which needs to be hidden by the patient.

Step S48, hiding the structure to be hidden, and updating the first patient structure tree and/or the second patient structure tree to obtain an updated first patient structure tree and/or second patient structure tree.

According to the technical scheme provided by the invention, after the structure to be hidden is hidden, the first patient structure tree and/or the second patient structure tree is updated, and the updated first patient structure tree and/or second patient structure tree is obtained. The doctor terminal selects a target level four node from the updated patient structure tree to generate corresponding summarized display data, and the generated summarized display data correspondingly hides other disease conditions irrelevant to the current disease conditions of the patient according to personal privacy requirements of the patient, so that personal privacy of the patient is effectively protected.

In one possible implementation manner, after step S48, (hiding the structure to be hidden, and updating the first patient structure tree and/or the second patient structure tree to obtain an updated first patient structure tree and/or second patient structure tree), the method further includes the following step S49, specifically as follows:

step S49, obtaining the number of hidden nodes in the structure to be hidden, generating a fourth character according to the number of hidden nodes, carrying out hash operation on the fourth character and the combined character to obtain a hidden information access key, and accessing the hidden structure according to the hidden information access key.

According to the technical scheme provided by the invention, the number of hidden nodes in the structure to be hidden is obtained, the fourth character is generated according to the number of hidden nodes, and the hash value operation is carried out on the fourth character and the combined character to obtain the hidden information access secret key. If access to the hidden structure is required, the hidden information access key is required to be input for access.

In order to realize the medical big data processing method provided by the invention, the invention also provides a medical big data processing system, which comprises the following steps:

the receiving unit is used for receiving the construction requirement of the patient end, generating an upper structure corresponding to the patient end, responding to the automatic update request of the patient end, and acquiring automatic update data corresponding to the patient end in a doctor end, wherein the automatic update data comprises an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content;

the connection unit is used for generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, acquiring the content attribute of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attribute, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure;

The updating unit is used for responding to the active updating request of the patient end, calling a human organ model, sending the human organ model to the patient end, receiving active updating content of the human organ model by the patient end, updating the middle structure and the lower structure of the first patient structure tree according to the active updating content to obtain a second patient structure tree, and acquiring the active updating content uploaded by the patient end to be related to the lower structure of the second patient structure tree;

the sending unit receives a display request of a doctor terminal, sends a second patient structure tree of the patient terminal to the doctor terminal for display, responds to the selected information of the doctor terminal on the lower structure, invokes corresponding diagnosis content to generate summarized display data, generates an access key corresponding to the selected information, responds to the authorization information of the patient terminal, and sends the access key to the doctor terminal.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (10)

1. A medical big data processing method, characterized by comprising:

receiving a construction requirement of a patient end, generating an upper structure corresponding to the patient end, and responding to an automatic update request of the patient end to obtain automatic update data corresponding to the patient end in a doctor end, wherein the automatic update data comprises an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content;

generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, acquiring content attributes of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attributes, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure;

responding to the active updating request of the patient end, calling a human organ model to send to the patient end, receiving active updating content of the patient end on the human organ model, updating the middle structure and the lower structure of the first patient structure tree according to the active updating content to obtain a second patient structure tree, and acquiring the active updating content uploaded by the patient end to be related to the lower structure of the second patient structure tree;

Receiving a display request of a doctor terminal, sending a second patient structure tree of the patient terminal to the doctor terminal for display, responding to selected information of the doctor terminal on the lower structure, retrieving corresponding diagnosis content to generate summarized display data, generating an access key corresponding to the selected information, responding to authorization information of the patient terminal, and sending the access key to the doctor terminal.

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the method includes the steps that a construction requirement of a patient end is received, an upper structure corresponding to the patient end is generated, automatic update data corresponding to the patient end in a doctor end is obtained in response to an automatic update request of the patient end, the automatic update data comprise an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content, and the method comprises the following steps:

receiving a construction requirement of a patient end, generating a primary node corresponding to the patient end, and generating an upper structure corresponding to the patient end according to the primary node;

responding to the automatic update request of the patient end, and after the patient end is associated with the corresponding doctor end, transmitting the automatic update data in the corresponding doctor end to the patient end;

And analyzing and processing the automatic updating data to obtain an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content.

3. The method of claim 2, wherein the step of determining the position of the substrate comprises,

the generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, obtaining a content attribute of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attribute, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure, including:

generating secondary nodes according to the automatic diagnosis parts, and generating tertiary nodes connected with the corresponding secondary nodes based on the automatic diagnosis time;

generating a middle structure according to the secondary nodes and the tertiary nodes, and connecting the secondary nodes of the middle structure with the primary nodes of the upper structure;

acquiring a content attribute of the automatic diagnosis content, wherein the content attribute is a diagnosis item attribute, generating a four-level node of a corresponding attribute according to the content attribute, and connecting the four-level node with a three-level node in the middle structure to obtain a first patient structure tree;

The automated diagnostic content is associated to a corresponding level four node at the infrastructure.

4. The method of claim 3, wherein the step of,

the method for updating the middle structure and the lower structure of the first patient structure tree according to the active updating content comprises the steps of:

responding to the active updating request of the patient end, calling a human organ model, sending the human organ model to the patient end for display, receiving the active updating content of the human organ model by the patient end, and obtaining click position information, click time information and content attributes according to the active updating content;

if the secondary node corresponding to the click position information does not exist in the first patient structure tree, generating a secondary node connected with the primary node according to the click position information, and generating a tertiary node connected with the secondary node according to the click time information;

if the second-level node corresponding to the click position information exists in the first patient structure tree, deleting the click position information, generating a corresponding third-level node below the second-level node according to the click time information, and updating the middle structure of the first patient structure tree;

And acquiring the number of the content attributes, generating four-level nodes connected with the three-level nodes according to the number of the content attributes, and updating the lower structure of the first patient structure tree to obtain a second patient structure tree.

5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,

the obtaining the active update content uploaded by the patient end is associated to the lower structure of the second patient structure tree, including:

receiving active updating content uploaded by a patient side and content attributes corresponding to the active updating content;

and associating the active updated content to a fourth level node in the lower structure of the second patient structure tree according to the content attribute.

6. The method of claim 5, wherein the step of determining the position of the probe is performed,

the method for generating summarized display data includes the steps of receiving a display request of a doctor terminal, sending a second patient structure tree of the patient terminal to the doctor terminal for display, responding to selected information of the doctor terminal on the lower structure, retrieving corresponding diagnosis content to generate summarized display data, and the method comprises the following steps:

receiving a display request of a doctor end, sending a second patient structure tree of the patient end to the doctor end for display, responding to selected information of the doctor end on the lower structure, and determining a selected quaternary node as a target quaternary node according to the selected information;

And calling the diagnosis content corresponding to the target level four node to generate summarized display data.

7. The method of claim 6, wherein the step of providing the first layer comprises,

the generating an access key corresponding to the selected information, responding to the authorization information of the patient end, and sending the access key to the doctor end, including:

taking the second-level node and the third-level node corresponding to the target fourth-level node as a target second-level node and a target third-level node, and obtaining a first character according to the number of the fourth-level nodes;

combining preset letters corresponding to the target secondary nodes to obtain second characters, and combining time information corresponding to the target tertiary nodes to obtain third characters, wherein the time information comprises automatic diagnosis time and click time information;

combining the first character, the second character and the third character to obtain a combined character, and carrying out hash operation on the combined character to obtain an access key corresponding to the selected information;

and responding to the authorization information of the patient side, and sending the access key to the doctor side.

8. The method as recited in claim 7, further comprising:

Receiving hidden demand information of a patient end, and screening a middle structure and a lower structure corresponding to the hidden demand information in the first patient structure tree and/or the second patient structure tree according to the hidden demand information to generate a structure to be hidden;

and hiding the structure to be hidden, and updating the first patient structure tree and/or the second patient structure tree to obtain an updated first patient structure tree and/or second patient structure tree.

9. The method of claim 7, wherein the step of determining the position of the probe is performed,

the hiding the structure to be hidden, and updating the first patient structure tree and/or the second patient structure tree to obtain an updated first patient structure tree and/or second patient structure tree, and further comprising:

obtaining the number of hidden nodes in a structure to be hidden, generating a fourth character according to the number of hidden nodes, carrying out hash operation on the fourth character and the combined character to obtain a hidden information access key, and accessing the hidden structure according to the hidden information access key.

10. A medical big data processing system, comprising:

the receiving unit is used for receiving the construction requirement of the patient end, generating an upper structure corresponding to the patient end, responding to the automatic update request of the patient end, and acquiring automatic update data corresponding to the patient end in a doctor end, wherein the automatic update data comprises an automatic diagnosis part, automatic diagnosis time and automatic diagnosis content;

The connection unit is used for generating a middle structure connected with the upper structure according to the automatic diagnosis part and the automatic diagnosis time, acquiring the content attribute of the automatic diagnosis content, generating a lower structure connected with the middle structure based on the content attribute, obtaining a first patient structure tree, and associating the automatic diagnosis content to the lower structure;

the updating unit is used for responding to the active updating request of the patient end, calling a human organ model, sending the human organ model to the patient end, receiving active updating content of the human organ model by the patient end, updating the middle structure and the lower structure of the first patient structure tree according to the active updating content to obtain a second patient structure tree, and acquiring the active updating content uploaded by the patient end to be related to the lower structure of the second patient structure tree;

the sending unit receives a display request of a doctor terminal, sends a second patient structure tree of the patient terminal to the doctor terminal for display, responds to the selected information of the doctor terminal on the lower structure, invokes corresponding diagnosis content to generate summarized display data, generates an access key corresponding to the selected information, responds to the authorization information of the patient terminal, and sends the access key to the doctor terminal.