CN115424705B

CN115424705B - Intelligent medical file intelligent consulting, analyzing and managing system and method based on cloud computing

Info

Publication number: CN115424705B
Application number: CN202211387858.9A
Authority: CN
Inventors: 何政; 吴慧; 易丹
Original assignee: SHENZHEN CITY BAOAN DISTRICT SHIYAN PEOPLE'S HOSPITAL
Current assignee: SHENZHEN CITY BAOAN DISTRICT SHIYAN PEOPLE'S HOSPITAL
Priority date: 2022-11-08
Filing date: 2022-11-08
Publication date: 2023-03-24
Anticipated expiration: 2042-11-08
Also published as: CN115424705A

Abstract

The invention belongs to the technical field of file consulting management, and discloses an intelligent consulting analysis management system and method of a cloud computing-based intelligent medical file.

Description

Intelligent medical file intelligent consulting, analyzing and managing system and method based on cloud computing

Technical Field

The invention belongs to the technical field of file consulting management, particularly relates to a medical image electronic file management technology, and particularly relates to an intelligent medical file consulting, analyzing and managing system and method based on cloud computing.

Background

With the wide application of various imaging devices in the medical field, more and more medical image reports are generated, and when teaching and learning are performed in abdominal cavity surgery, minimally invasive surgery and the like, the medical image reports have irreplaceable important functions in clinical diagnosis and treatment and medical teaching, so that the medical image reports become important components of medical archives. The current medical image archives have entered the electronic era, compared with the traditional paper archives, the medical image archives facilitate storage and query, optimize service, and greatly improve the medical quality and the utilization rate of image data. In view of the important role of medical image electronic files in medical teaching, medical image electronic files are currently referred by many medical workers, and in such a situation, referring and managing medical image files is important in medical file management.

In the process of implementing the present application, the inventor finds that the medical image file consulting management has at least the following problems: 1. in view of the fact that medical image files have certain confidentiality requirements, file managers can set use permission to consultants in reality, and in order to adapt to the consulting characteristic, the consulting process of the existing medical image electronic files is basically that consultants propose consulting applications firstly, and then managers carry out permission auditing on the consulting applications, but the set use permission is only set for consulting subjects, and the set of consulting content permission is ignored, and because the medical image files inevitably relate to personal information of patients, if the consulting content permission is not set, the leakage of the personal information of the patients can be caused, potential safety hazards are brought to the privacy and personal information protection of the patients, and the permission auditing of the consulting applications adopts a manual auditing mode, so that the auditing efficiency is reduced, auditing omission is easily caused, the reliability of auditing results is further influenced, and great operation vulnerability is brought to the consulting application permission auditing.

2. The look up of current medical image electronic file all is waiting to look up medical image report back direct display transferring, lacks the adaptation of looking up image report display state on looking up the terminal of looking up and handles, leads to waiting to look up the display effect of medical image report not good, and then has influenced looking up that the person looks up experiences and feels.

3. Present medical image electronic file is when looking up the process management to looking up the person, only look up the management and control of length, lack the operation action management and control of looking up to looking up the person, lead to the management and control direction too single, the limitation, on the one hand can't effectively ensure to be looked up the completeness and the safety of archives, on the other hand is difficult to provide abundant state material of looking up for looking up the content of record, cause to look up the utilization ratio of record not high, make its can't exert due value of utilization, intangible among cause the waste of looking up the resource.

Disclosure of Invention

In view of the above, the present invention provides a cloud computing-based intelligent consulting, analyzing and managing system and method for intelligent medical files, which can effectively solve the problems involved in the background art.

The invention is realized by adopting the following technical scheme.

In a first aspect, the invention provides a cloud computing-based intelligent consulting, analyzing and managing system for intelligent medical files, which comprises the following modules: and the medical image report counting and filing module is used for counting and filing the medical image reports existing in the appointed hospital to form a medical image electronic archive.

And the medical image electronic archive consulting authority setting module is used for consulting the medical image electronic archive library for main body range setting and consulting content authority setting.

Medical image electronic file looks up terminal setting module for set up the terminal of looking up that medical image electronic file corresponds, and set up the surveillance camera head in looking up the terminal.

Consult application instruction intelligence and examine module for whether real-time identification medical image electronic file consults the terminal and is in and consults under the application state, carries out intelligence to consulting the application instruction when being in and consults under the application state and examine.

And the target medical image report calling processing module is used for calling the target medical image report when the review of the application instruction is successful and carrying out display state processing on the target medical image report.

And the management database is used for storing the display contrast control demand indexes corresponding to various gray levels and storing the appropriate basic display contrast for the human eyes to watch.

And the target medical image report consulting state monitoring management module is used for displaying the processed target medical image report, consulting by a consultant, analyzing the consulting operation behavior compliance corresponding to the consultant in the consulting process, analyzing the consulting process management mode corresponding to the target medical image report and executing the consulting process management mode.

And the medical image consultation record automatic generation module is used for restoring the target medical image report after the consultation is finished, extracting the corresponding consultation main body attribute and consultation state attribute of a consultant, and automatically generating a consultation record.

Medical image electronic file consults record management terminal for set up and consult the cycle, and draw the record of consulting of medical image electronic file in consulting the cycle, look up the risk list setting with this.

In an implementation manner of the first aspect of the present invention, the specific setting manner corresponding to the reference content permission setting is as follows: the statistical setting refers to a reference subject category existing within a reference subject range.

And classifying the security level of each medical image report stored in the medical image electronic archive.

Acquiring element types related to medical image report contents.

The security level and element category allowed to be referred by various types of reference subjects are set.

In an implementation manner of the first aspect of the present invention, the specific implementation steps corresponding to the intelligent audit of the reference application instruction are as follows: and extracting the name of the consultant and the serial number of the medical image report to be consulted from the consultation application instruction.

And determining the reference subject category corresponding to the consultant according to the consultant name, and recording the reference subject category as the specific reference subject category.

And matching the specific consulting subject class with the security levels allowed to be consulted by various consulting subjects, and screening out the security levels allowed to be consulted by the specific consulting subject class.

And matching the serial number of the medical image report to be consulted with the corresponding security grade of each medical image report, and matching the security grade corresponding to the medical image report to be consulted.

And comparing the security grade allowed to be consulted by the specific consulting subject class with the security grade corresponding to the medical image report to be consulted, if the comparison is consistent, the consulting of the application instruction is successful, otherwise, the consulting of the application instruction is failed, and at the moment, the consulting of the application instruction is rejected.

In an implementation manner of the first aspect of the present invention, the display state processing includes display content processing and display form processing, where the display content processing specifically executes the following method: and extracting the medical image report to be consulted from the medical image electronic archive according to the medical image report serial number to be consulted, and recording the medical image report as a target medical image report.

And matching the specific reference subject type with the element types which are allowed to be referred by the various reference subjects, and matching the element types which are allowed to be referred by the specific reference subject type.

And extracting the related element category from the target medical image report content, matching the element category with the element category which is allowed to be referred to by the specific referring subject category, screening the element category which fails in matching from the element category, and taking the element category as the referring-forbidden element category.

And hiding the content related to the check-prohibited element category in the target medical image report content.

The examination part, the examination type and the patient age are extracted from the target medical image report content, the extracted examination part and the extracted examination type are recorded as the target examination part and the designated examination type, and the age bracket of the patient is determined based on the patient age.

And matching the target examination part, the specified examination type and the age group of the patient with the normal display images of the examination parts corresponding to the people of all ages in the normal medical image library under all examination types, and matching the normal display images of the target examination part corresponding to the age group of the patient under the specified examination type.

Focusing the target medical image report on a medical image display area, comparing the displayed medical image with a normal display image of a target examination part corresponding to the age group of a patient in a specified examination type, determining the position of a premonition, defining the area outline of the position of the premonition, and performing special marking on the area of the medical image display corresponding to the target medical image report.

And focusing the target medical image report on an examination result display area, extracting an examination result value from the examination result display area, comparing the examination result value with a normal examination result value of a target examination part corresponding to the age group of the patient, and if a certain examination result value is not in a normal value range corresponding to the examination, marking the examination as an abnormal examination type, so that the content of the abnormal examination type is marked in the examination result display area corresponding to the target medical image report in a distinguishing manner.

In an implementation manner of the first aspect of the present invention, the display format processing is specifically performed as follows: (1) And acquiring the size and the resolution corresponding to a display in the medical image electronic file consulting terminal, and recording the size and the resolution as the terminal size and the terminal resolution respectively.

(2) And matching the terminal resolution with the standard image scaling corresponding to the set various resolutions, and matching the standard image scaling corresponding to the terminal resolution.

(3) Combining the terminal size with the preset medical image report adaptive display ratio to calculate the effective display area of the target medical image report in the medical image electronic file look-up terminal

。

(4) Calculating the proper display area s corresponding to the medical image in the target medical image report, wherein the calculation formula is

，/>

Expressed as a standard image scaling, corresponding to the resolution of the terminal, is/are>

The layout area ratio corresponding to the medical image display area in the normal medical image report is shown.

(5) Graying the medical image in the target medical image report, extracting a gray value from the medical image, recording the gray value as an appointed gray value, matching the gray value with gray value intervals corresponding to various preset gray levels, and matching a gray level corresponding to the appointed gray value from the gray value intervals and recording the gray level as an appointed gray level.

(6) Comparing the appointed gray level with the display contrast control demand indexes corresponding to various gray levels in the management database, screening out the display contrast control demand indexes corresponding to the appointed gray level, and recording the display contrast control demand indexes as

。

(7) Extracting appropriate basic display contrast for human eyes to watch from the management database, and calculating adaptive display contrast corresponding to the medical image electronic archive look-up terminal by combining the basic display contrast with the display contrast regulation demand index corresponding to the specified gray level

，/>

Wherein->

Representing a suitable underlying display contrast for viewing by the human eye.

(8) The display contrast of the medical image electronic file consulting terminal is regulated and controlled according to the adaptation display contrast, the display area of the target medical image report in the medical image electronic file consulting terminal is regulated according to the effective display area, and meanwhile the display area of the medical image in the target medical image report is regulated according to the adaptation display area.

In one possible implementation manner of the first aspect of the present invention, the analyzing the compliance of the review operation behavior corresponding to the reviewer specifically refers to the following steps: and monitoring the corresponding body behaviors of the consultant in real time through a monitoring camera, identifying whether the consultant has the illegal body behaviors, and counting the number of the illegal body behaviors of the consultant and the accumulated time corresponding to various illegal body behaviors if the illegal body behaviors are identified.

The operation behaviors of the consultant on the target medical image report are collected in real time through the medical image electronic file consulting terminal, whether the consultant has the illegal operation behaviors or not is identified, and if the illegal operation behaviors are identified, the number of the illegal operation behaviors of the consultant and the accumulated occurrence frequency corresponding to various illegal operation behaviors are counted.

Calculating the consulting operation behavior compliance degree Q corresponding to the consultant based on the number of illegal limb behaviors of the consultant, the accumulated time length corresponding to various illegal limb behaviors, the number of illegal operation behaviors and the accumulated occurrence frequency corresponding to various illegal operation behaviors, wherein the compliance degree Q is used for calculating the consulting operation behavior compliance degree Q corresponding to the consultant

，/>

、/>

Expressed as the accumulated time length and the weight factor of the consultant corresponding to the ith illegal limb behavior, i is expressed as the number of the illegal limb behavior, and>

t denotes the reference time length corresponding to the person to be consulted>

、/>

Respectively expressed as the cumulative occurrence frequency and the weighing factor of the jth violation behavior corresponding to the consultant, j is expressed as the violation behavior number, and is greater than or equal to>

A, B is expressed as the ratio coefficient corresponding to the illegal action of the body and the illegal action, respectively, and e is expressed as a natural constant.

In an implementation manner of the first aspect of the present invention, the reference process management manner includes closing a reference interface, prompting an illegal popup window, and maintaining the reference interface.

In an implementation manner of the first aspect of the present invention, the attribute of the lookup status includes a lookup duration, a lookup operation compliance, and a lookup procedure management manner.

In an implementation manner of the first aspect of the present invention, the specific setting process corresponding to the setting of the risk list for reference is as follows: the method comprises the steps of firstly, counting the number of the consulting records in a consulting period, extracting the names of consultants from the consulting main body attributes corresponding to the consulting records, and simultaneously extracting the consulting operation behavior compliance and the consulting process management mode from the consulting state attributes.

And step two, comparing the extracted names of the consultants mutually, classifying the consult records corresponding to the same consultant, and obtaining the consult record set corresponding to each consultant.

And thirdly, performing mean value calculation on the consulting operation behavior compliance degrees corresponding to the consulting records in the consulting record set corresponding to the consultants to obtain the average consulting operation behavior compliance degree corresponding to the consultants, simultaneously comparing the consulting process management modes corresponding to the consulting records, and counting the occurrence percentage corresponding to closing a consulting interface and illegal popup window reminding.

And fourthly, importing the average look-up operation behavior compliance corresponding to each look-up person and the occurrence ratio corresponding to the close look-up interface and the illegal popup prompt into a look-up risk index evaluation formula

And calculating the corresponding reference risk index (or;) of each person to be referred>

And f denotes the person number for reference>

，/>

Expressed as f-th reviewer pairThe corresponding average look-up operation action is in compliance, and>

、/>

the method is characterized in that the method respectively represents the occurrence occupation ratios corresponding to the closing of the look-up interface and the illegal popup reminding in the f-th consultant, and a and b respectively represent the influence factors corresponding to the predefined closing of the look-up interface and the illegal popup reminding.

And fifthly, comparing the look-up risk index corresponding to each look-up person with the set warning look-up risk index, and if the look-up risk index corresponding to a certain look-up person is larger than the warning look-up risk index, adding the name of the look-up person into a look-up risk list of a corresponding look-up period.

In a second aspect, the invention provides a cloud computing-based intelligent consulting, analyzing and managing method for intelligent medical files, which comprises the following steps: step 1, counting and archiving medical image reports existing in a designated hospital to form a medical image electronic archive.

And 2, consulting the subject range setting and consulting the content authority setting of the medical image electronic archive.

And 3, setting a reference terminal corresponding to the medical image electronic file, and setting a monitoring camera in the reference terminal.

And 4, identifying whether the medical image electronic file consulting terminal is in a consulting application state in real time, and intelligently auditing a consulting application instruction when the medical image electronic file consulting terminal is in the consulting application state.

And 5, calling a target medical image report when the review of the application instruction is successful, and carrying out display state processing on the target medical image report.

And 6, displaying the processed target medical image report, analyzing the consulting operation behavior compliance corresponding to the consultant in the consulting process of the consultant, analyzing the consulting progress management mode corresponding to the target medical image report according to the analysis, and executing the consulting progress management mode.

And 7, restoring the target medical image report after finishing the consultation, extracting the consultation main body attribute and the consultation state attribute corresponding to the consultant, and automatically generating a consultation record.

And 8, setting a consulting period, and extracting consulting records of the medical image electronic files in the consulting period so as to consult the risk list setting.

By combining all the technical schemes, the invention has the advantages and positive effects that: 1. according to the medical image electronic archive, the content permission setting is carried out on the medical image electronic archive, the mode of hiding and protecting the personal information of the patient is adopted, the leakage of the personal information of the patient by a consultant in the consulting process is reduced to the maximum extent, the privacy and the personal information safety of the patient are effectively guaranteed, and the medical image electronic archive has certain practical use significance.

2. According to the invention, the use permission of the reviewer is audited by adopting an intelligent auditing mode, compared with a manual auditing mode, the auditing mode not only improves auditing efficiency, but also greatly avoids auditing omission, improves the reliability of auditing results to a certain extent, is beneficial to making up for operation loopholes existing in reviewing and applying permission auditing in the prior art, and provides front-end guarantee for smooth reviewing.

3. According to the method and the device, after the consultation application and the audit are successful, the display parameters of the display in the medical image electronic file consultation terminal are obtained, so that the display content processing and the display form processing are carried out on the called medical image report to be consulted, the adaptation processing of the display state of the image report to be consulted on the consultation terminal is realized, the consultation requirement of a consultant is better met, the display effect of the medical image report to be consulted is further ensured, and the consultation experience of the consultant is favorably improved.

4. The medical image file consulting system has the advantages that the consulting operation behavior of a consultant is controlled when the medical image file consulting process is managed, so that the control direction of the consulting process is expanded, the defects that the control direction of the existing medical image electronic file is too single and limited are overcome, the change of the control direction of the consulting process from shallow to deep is realized, the materialization management characteristics of the consulting process are more highlighted, on one hand, the completeness and the safety of the consulted file can be effectively guaranteed, on the other hand, rich consulting state materials can be provided for the content of the consulting record, and the medical image file consulting system has double use values.

5. According to the method and the system, the consulting period is set, and the consulting subject attribute and the consulting state attribute in the consulting record in the consulting period are utilized to carry out consulting risk list setting, so that an objective and reliable management channel is provided for the management of a consultant, the using functions of the consulting record are enriched, the utilization rate of the consulting record is further improved, the due utilization value can be fully exerted, and the waste of consulting resources is greatly avoided.

Drawings

The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.

Fig. 1 is a schematic diagram of system module connection according to the present invention.

FIG. 2 is a flow chart of the method steps of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.

Example 1: referring to fig. 1, the invention provides a cloud computing-based intelligent consulting, analyzing and managing system for medical files, which comprises a medical image report statistics and filing module, a medical image electronic file consulting authority setting module, a medical image electronic file consulting terminal setting module, a consulting application instruction intelligent auditing module, a target medical image report calling and processing module, a management database, a target medical image report consulting state monitoring and managing module, a medical image consulting record automatic generating module and a medical image electronic file consulting record managing terminal.

The traditional Chinese medicine treatment image report statistics filing module is respectively connected with the medical treatment image electronic archive consultation permission setting module and the medical treatment image electronic archive consultation terminal setting module, the medical treatment image electronic archive consultation permission setting module and the medical treatment image electronic archive consultation terminal setting module are both connected with the consultation application instruction intelligent auditing module, the consultation application instruction intelligent auditing module is connected with the target medical treatment image report calling processing module, the target medical treatment image report calling processing module is connected with the target medical treatment image report consultation state monitoring management module, the target medical treatment image report consultation state monitoring management module is connected with the medical treatment image consultation record automatic generation module, the medical treatment image consultation record automatic generation module is connected with the medical treatment image electronic archive consultation record management terminal, and the management database is connected with the target medical treatment image report calling processing module.

The medical image report statistics and filing module is used for counting and filing medical image reports existing in a designated hospital to form a medical image electronic archive.

The medical image report referred to in the present invention relates to a B-mode ultrasound report, a CT report, an X-ray report, and the like.

Medical image electronic file looks up authority setting module is used for looking up the main part scope to medical image electronic file storehouse and sets up and look up the content authority setting, wherein look up the concrete setting mode that the content authority setting corresponds as follows: the statistics set a reference subject category existing within the reference subject range.

It should be noted that the above mentioned categories of subjects for reference include, but are not limited to, nurses, physicians, attending physicians, and courtyards.

The medical image reports stored in the medical image electronic archive are classified into security grades, and the security grades can be classified into secret, secret and secret.

Acquiring element categories related to the medical image report content, wherein the element categories comprise patient names, sexes, ages, names of examining doctors, names of auditing doctors and the like.

According to the medical image electronic archive, the content permission setting is carried out on the medical image electronic archive, the mode of hiding and protecting the personal information of the patient is adopted, the leakage of the personal information of the patient by a consultant in the consulting process is reduced to the maximum extent, the privacy and the personal information safety of the patient are effectively guaranteed, and the medical image electronic archive has certain practical use significance.

The medical image electronic file consulting terminal setting module is used for setting a consulting terminal corresponding to the medical image electronic file, and a monitoring camera is arranged in the consulting terminal, wherein the consulting terminal refers to a computer.

Look up application instruction intelligence and examine the module and be used for real-time identification medical image electronic file to look up whether the terminal is in and look up under the application state, carry out intelligence to looking up the application instruction when being in and look up under the application state and examine, specifically realize the step as follows: and extracting the name of the consultant and the serial number of the medical image report to be consulted from the consultation application instruction.

In the preferred scheme of the invention, the determination method of the reference subject category is to establish a roster of medical staff corresponding to the specified hospital, and compare the name of the reference subject with the roster of the medical staff corresponding to the specified hospital, so as to determine the reference subject category corresponding to the reference subject.

And comparing the security grade allowed to be referred by the specific referred subject type with the security grade corresponding to the medical image report to be referred, if the comparison is consistent, successfully reviewing the referred application instruction, otherwise, failing to review the referred application instruction, and rejecting the referred application instruction.

According to the embodiment of the invention, the use permission of the reviewer is audited by adopting an intelligent auditing mode, compared with a manual auditing mode, the auditing mode not only improves auditing efficiency, but also greatly avoids auditing omission, improves the reliability of auditing results to a certain extent, is beneficial to making up operation holes existing in reviewing and applying permission auditing in the prior art, and provides front-end guarantee for smooth reviewing.

The target medical image report calling processing module is used for calling the target medical image report when the review of the application instruction is successful and carrying out display state processing on the target medical image report, wherein the display state processing comprises display content processing and display form processing, and the specific execution method of the display content processing comprises the following steps: and extracting the medical image report to be consulted from the medical image electronic archive according to the medical image report number to be consulted, and recording the medical image report as a target medical image report.

And extracting related element classes from the target medical image report content, matching the element classes with the element classes which are allowed to be referred by the specific referring subject class, and screening out the element classes which fail to be matched from the element classes as the element classes which are forbidden to be referred.

The examination part, the examination type and the patient age are extracted from the target medical image report content, the extracted examination part and the examination type are recorded as a target examination part and a designated examination type, and the age bracket of the patient is determined based on the patient age.

Illustratively, the examination region is an arm, a lumbar vertebra, a chest, etc., and the examination type is color ultrasound, X-ray, CT, nuclear magnetic resonance, etc.

And focusing the target medical image report on an examination result display area, extracting an examination result numerical value from the examination result numerical value, comparing the examination result numerical value with a normal examination result numerical value of a target examination part corresponding to the age group of the patient, and if a certain examination result numerical value is not in a normal numerical value range corresponding to the examination, recording the examination as an abnormal examination type, thereby differentially marking the content of the abnormal examination type in the examination result display area corresponding to the target medical image report.

In the specific embodiment of the invention, the distinguishing marks of the medical image symptom position and the abnormal examination type in the target medical image report can provide special prompts for the consultant to consult, so that the consultant can consult the marked contents in a key way, and the consulting utility is improved.

The display form processing is specifically executed as follows: (1) And acquiring the size and the resolution corresponding to a display in the medical image electronic file consulting terminal, and recording the size and the resolution as the terminal size and the terminal resolution respectively.

(3) Combining the terminal size with the preset medical image report adaptive display ratio to calculate the target medical image report to look up in the medical image electronic fileEffective display area of terminal

It is calculated specifically in>

Wherein d denotes the terminal size>

Medical image report adaptation display duty, expressed as preset, based on the status of the patient>

Expressed as a display area per unit size.

The size unit of the display screen is inches.

，/>

The medical image display area is represented as the ratio of the typesetting area corresponding to the medical image display area in the normal medical image report.

It should be noted that, the calculation of the suitable display area is based on the resolution and the size of the display of the reference terminal, where the size represents the display area that the medical image can reach on the display, and the resolution represents the display quality of the medical image on the display, when the resolution is large, the display area of the medical image in the target medical image report should not be too large, which may cause distortion of the medical image, and at this time, the medical image in the target medical image report should be reduced, when the resolution is small, the display area of the medical image in the target medical image report should not be too small, which may affect the definition of the medical image, so that the reference effect of the medical image may be flexibly improved by adjusting and controlling the display area of the medical image based on the resolution and the size of the display of the reference terminal.

。

，/>

In which>

Indicates a suitable basis for viewing by the human eye to display contrast, wherein->

Is positive or negative when>

Is positive, indicating that the display contrast corresponding to the specified gray level needs to be adjusted greater than the appropriate base display contrast, and->

The greater the degree of need for a correspondingly increased display contrast in a given gray level, when->

Is negative, indicates that the display contrast corresponding to the specified gray level needs to be adjusted smaller and/or greater than the appropriate base display contrast, and->

The larger the value, the higher the degree of demand for the display contrast to be turned down for a given gray scale level.

The purpose of calculating the corresponding adaptive display contrast of the medical image electronic file consulting terminal based on the gray level of the medical image is that the larger the gray level of the medical image is, the brighter the display color is, and if the display contrast of the display is not adjusted, the visual effect of the medical image is affected.

According to the embodiment of the invention, after the consultation application and the audit are successful, the display parameters of the display in the medical image electronic file consultation terminal are obtained, so that the display content processing and the display form processing are carried out on the called medical image report to be consulted, the adaptation processing of the display state of the image report to be consulted on the consultation terminal is realized, the consultation requirement of a consultant is better met, the display effect of the medical image report to be consulted is further ensured, and the consultation experience of the consultant is favorably improved.

The management database is used for storing the display contrast regulation and control demand indexes corresponding to various gray levels and storing the appropriate basic display contrast for the human eyes to watch.

The target medical image report consulting state monitoring management module is used for displaying the processed target medical image report, consulting by a consultant, analyzing the consulting operation behavior compliance corresponding to the consultant in the consulting process, analyzing the consulting process management mode corresponding to the target medical image report and executing the consulting process management mode.

The step of analyzing the compliance of the review operation behavior corresponding to the reviewer specifically refers to the following steps: and monitoring the corresponding body behaviors of the consultant in real time through a monitoring camera, identifying whether the consultant has the illegal body behaviors, and counting the number of the illegal body behaviors of the consultant and the accumulated time corresponding to various illegal body behaviors if the illegal body behaviors are identified.

The above-mentioned illegal body behaviors include, for example, taking a picture, recording a video, smoking, and the like.

The above-mentioned violation behaviors include modification, deletion, and the like, as examples.

Calculating the review operation behavior compliance degree Q corresponding to the reviewer based on the number of the illegal body behaviors of the reviewer, the accumulated duration corresponding to various illegal body behaviors, the number of the illegal operation behaviors and the accumulated occurrence frequency corresponding to various illegal operation behaviors, wherein the review operation behavior compliance degree Q is calculated based on the number of the illegal body behaviors of the reviewer, the accumulated duration corresponding to various illegal body behaviors, the number of the illegal operation behaviors and the accumulated occurrence frequency corresponding to various illegal operation behaviors

，/>

、/>

Is expressed as the accumulated duration and the weight factor of the consultant corresponding to the ith illegal limb action, i is expressed as the illegal limb action number, and is greater than or equal to>

、/>

The specific analysis mode of the consulting process management mode corresponding to the analysis target medical image report is as follows: and if the consulting operation behavior compliance corresponding to the consultant is smaller than the set first-level compliance threshold value, analyzing the consulting process management mode corresponding to the target medical image report as closing the consulting interface, and if the consulting operation behavior compliance corresponding to the consultant is between the first-level compliance threshold value and the second-level compliance threshold value, analyzing the consulting process management mode corresponding to the target medical image report as illegal popup reminding, otherwise, analyzing the consulting process management mode corresponding to the target medical image report as maintaining the consulting interface.

The embodiment of the invention adds the management and control of the consulting operation behavior of the consultant during the consulting process management of the medical image archive, thereby expanding the management and control direction of the consulting process, overcoming the defects of single and limited management and control direction of the traditional medical image electronic archive, realizing the conversion of the management and control direction from shallow to deep in the consulting process, more highlighting the materialization management characteristics of the consulting process, effectively ensuring the completeness and safety of the consulted archive on one hand, and providing rich consulting state materials for the consulting record content on the other hand, and having double use values.

The medical image is consulted record automatic generation module and is used for restoring the original state of the target medical image report after the end is consulted to extract the corresponding main attribute of consulting and consulting the state attribute of the consultant, and the automatic generation is consulted the record, wherein consult the main attribute for consulting the name of the consultant and wait to consult the medical image report number, consult the state attribute including consulting duration, consulting the operating behavior compliance and consulting the process management mode.

Medical image electronic file looks up record management terminal is used for setting up and looks up the cycle to draw medical image electronic file's the record of looking up in looking up the cycle, look up the risk list setting with this, the setting process is as follows: the method comprises the steps of counting the number of the consulting records existing in a consulting period, extracting the names of consultants from consulting main body attributes corresponding to all the consulting records, and simultaneously extracting the consulting operation behavior compliance and the consulting progress management mode from consulting state attributes.

And step two, comparing the extracted names of the consultants with each other, so as to classify the consult records corresponding to the same consultant and obtain the consult record set corresponding to each consultant.

And f is expressed as a look-upIs numbered and/or combined>

，/>

Expressed as a degree of compliance, of the corresponding average look-up operation behavior of the f-th reviewer>

、/>

The method comprises the steps that the first reference person and the second reference person are respectively represented as the corresponding occurrence occupation ratios of closing a reference interface and illegal popup reminding in the f-th reference person, a and b are respectively represented as the corresponding influence factors of predefined closing the reference interface and illegal popup reminding, wherein the influence of the average reference operation behavior compliance on the reference risk index is negative, and the influence of the occurrence occupation ratios of closing the reference interface and illegal popup reminding on the reference risk index is positive.

And fifthly, comparing the reference risk index corresponding to each viewer with the set warning reference risk index, and adding the name of the viewer into the reference risk list of the corresponding reference period if the reference risk index corresponding to a viewer is greater than the warning reference risk index.

According to the method and the system, the consulting period is set, and the consulting subject attribute and the consulting state attribute in the consulting record in the consulting period are utilized to carry out consulting risk list setting, so that an objective and reliable management channel is provided for the management of a consultant, the using functions of the consulting record are enriched, the utilization rate of the consulting record is further improved, the due utilization value can be fully exerted, and the waste of consulting resources is greatly avoided.

Example 2: referring to fig. 2, the invention provides a cloud computing-based intelligent consulting, analyzing and managing method for intelligent medical files, which comprises the following steps: step 1, counting and archiving medical image reports existing in a designated hospital to form a medical image electronic archive.

The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.

Claims

1. Intelligent medical file intelligent consulting, analyzing and managing system based on cloud computing is characterized by comprising the following modules:

the medical image report counting and filing module is used for counting and filing medical image reports existing in a designated hospital to form a medical image electronic archive;

the medical image electronic archive consulting authority setting module is used for consulting the medical image electronic archive library to set the subject range and consult the content authority;

the medical image electronic file consulting terminal setting module is used for setting a consulting terminal corresponding to the medical image electronic file, and a monitoring camera is arranged in the consulting terminal;

the intelligent examination and verification module of the consultation application instruction is used for identifying whether the medical image electronic file consultation terminal is in a consultation application state or not in real time and intelligently examining the consultation application instruction when the medical image electronic file consultation terminal is in the consultation application state;

the target medical image report calling processing module is used for calling the target medical image report when the review of the application instruction is successful and carrying out display state processing on the target medical image report;

the management database is used for storing display contrast regulation demand indexes corresponding to various gray levels and storing proper basic display contrast for human eyes to watch;

the target medical image report consulting state monitoring management module is used for displaying the processed target medical image report, consulting by a consultant, analyzing the consulting operation behavior compliance degree corresponding to the consultant in the consulting process, analyzing the consulting process management mode corresponding to the target medical image report according to the analysis, and executing the consulting process management mode;

the medical image consultation record automatic generation module is used for restoring the target medical image report after consultation is finished, extracting the consultation main body attribute and the consultation state attribute corresponding to a consultant and automatically generating a consultation record;

the medical image electronic file consulting record management terminal is used for setting a consulting period, and extracting consulting records of the medical image electronic files in the consulting period so as to set a consulting risk list;

the step of analyzing the compliance of the consulting operation behavior corresponding to the consultant specifically refers to the following steps:

monitoring the corresponding limb behaviors of the consultant in real time through a monitoring camera, identifying whether the consultant has the illegal limb behaviors, and counting the number of the illegal limb behaviors of the consultant and the accumulated time corresponding to various illegal limb behaviors if the illegal limb behaviors are identified;

acquiring the operation behaviors of a consultant on a target medical image report in real time through a medical image electronic file consulting terminal, identifying whether the consultant has an illegal operation behavior, and counting the number of the illegal operation behaviors of the consultant and the accumulated occurrence frequency corresponding to various illegal operation behaviors if the illegal operation behavior is identified;

，

、

The cumulative duration and the weight factor of the i-th illegal body behavior corresponding to the consultant are shown, i is the number of the illegal body behavior,

t is the reference time length corresponding to the reference person,

、

respectively expressed as cumulative occurrence frequency and balance factor of the jth illegal operation behavior corresponding to the consultant, j is expressed as illegal operation behavior number,

a, B are respectively expressed as illegal body behaviors and violationAnd e represents a ratio coefficient corresponding to the rule operation behavior and is a natural constant.

2. The intelligent cloud-computing-based consulting and analyzing management system for intelligent medical records of claim 1, wherein: the specific setting mode corresponding to the reference content permission setting is as follows:

counting the types of the reference subjects existing in the range of the set reference subjects;

classifying the security grade of each medical image report stored in the medical image electronic archive;

acquiring element types related to medical image report contents;

3. The intelligent cloud-computing-based consulting and analyzing management system for intelligent medical records of claim 1, wherein: the specific implementation steps corresponding to the intelligent auditing of the consulting application instruction are as follows:

extracting the name of a consultant and the serial number of a medical image report to be consulted from the consulting application instruction;

determining a reference subject category corresponding to a consultant according to the name of the consultant, and recording the reference subject category as a specific reference subject category;

matching the specific consulting subject class with the security grades which are allowed to be consulted by various consulting subjects, and screening out the security grades which are allowed to be consulted by the specific consulting subject class;

matching the serial numbers of the medical image reports to be looked up with the corresponding security levels of the medical image reports, and matching the security levels corresponding to the medical image reports to be looked up;

4. The intelligent cloud-computing-based consulting and analyzing management system for intelligent medical records of claim 3, wherein: the display state processing comprises display content processing and display form processing, wherein the specific execution method of the display content processing comprises the following steps:

extracting a medical image report to be looked up from a medical image electronic archive according to the serial number of the medical image report to be looked up, and recording the medical image report as a target medical image report;

matching the specific reference main body type with the element types which are allowed to be referred by various reference main bodies, and matching the element types which are allowed to be referred by the specific reference main body type;

extracting related element classes from the target medical image report content, matching the element classes with element classes which are allowed to be referred by a specific referring subject class, screening out element classes which fail to be matched from the element classes, and taking the element classes as element classes which are forbidden to be referred;

hiding the content related to the forbidden element type in the target medical image report content;

extracting an examination part, an examination type and a patient age from the target medical image report content, recording the extracted examination part and the extracted examination type as a target examination part and a specified examination type respectively, and determining the age bracket of the patient based on the patient age;

matching the target examination part, the specified examination type and the age group of the patient with the normal display images of the examination parts corresponding to the people of all ages in the normal medical image library under all examination types, and matching the normal display images of the target examination part corresponding to the age group of the patient under the specified examination type;

focusing the target medical image report on a medical image display area, comparing the displayed medical image with a normal display image of a target examination part corresponding to the age group of a patient under a specified examination type, determining the position of a premonition, delineating the area outline of the premonition position, and specially marking the area outline in the medical image display area corresponding to the target medical image report;

5. The intelligent cloud-computing-based consulting and analyzing management system for intelligent medical files, according to claim 4, wherein: the display form processing is specifically performed as follows:

(1) Acquiring the size and resolution corresponding to a display in a medical image electronic file consulting terminal, and recording the size and resolution as the terminal size and the terminal resolution respectively;

(2) Matching the terminal resolution with the standard image scaling corresponding to various set resolutions, and matching the standard image scaling corresponding to the terminal resolution from the standard image scaling;

；

，

Expressed as a standard image scaling corresponding to the resolution of the terminal,

to representThe typesetting area ratio corresponding to the medical image display area in the normal medical image report;

(5) Performing graying processing on the medical image in the target medical image report, extracting a gray value from the medical image report, recording the gray value as an appointed gray value, matching the gray value with gray value intervals corresponding to various preset gray levels, and matching a gray level corresponding to the appointed gray value from the gray value intervals and recording the gray level as an appointed gray level;

；

，

Wherein

A suitable base display contrast expressed for viewing by the human eye;

6. The intelligent cloud-computing-based consulting and analyzing management system for intelligent medical records of claim 1, wherein: the consulting process management mode comprises closing a consulting interface, prompting illegal popup windows and maintaining the consulting interface.

7. The intelligent cloud-computing-based consulting and analyzing management system for intelligent medical records of claim 6, wherein: the attribute of the consulting state comprises consulting duration, consulting operation behavior compliance and consulting process management mode.

8. The intelligent cloud-computing-based consulting and analyzing management system for intelligent medical files, according to claim 7, wherein: the specific setting process corresponding to the risk list lookup setting is as follows:

the method comprises the steps of firstly, counting the number of reference records in a reference period, extracting the names of the consultants from the reference main body attributes corresponding to all the reference records, and simultaneously extracting the compliance of the reference operation behaviors and the management mode of the reference process from the reference state attributes;

secondly, comparing the extracted names of the consultants with each other, and classifying the consult records corresponding to the same consultant to obtain a consult record set corresponding to each consultant;

thirdly, performing mean value calculation on the consulting operation behavior compliance degrees corresponding to all the consulting records in the consulting record set corresponding to all the consultants to obtain the average consulting operation behavior compliance degree corresponding to all the consultants, simultaneously comparing the consulting process management modes corresponding to all the consulting records, and counting the occurrence occupation ratio corresponding to closing a consulting interface and illegal popup prompt;

Calculating the corresponding reference risk index of each viewer

And f is expressed as a reviewer number,

，

expressed as the average review operation behavior compliance corresponding to the f-th reviewer,

、

respectively representing the occurrence occupation rates corresponding to the closing of the look-up interface and the illegal popup reminding in the f-th consultant, and respectively representing a and b as influence factors corresponding to the predefined closing of the look-up interface and the illegal popup reminding;

9. The intelligent consulting, analyzing and managing method for the intelligent medical file based on cloud computing is completed by adopting the intelligent consulting, analyzing and managing system for the intelligent medical file based on cloud computing as claimed in claim 1, and is characterized by comprising the following steps of:

step 1, counting and archiving medical image reports existing in a designated hospital to form a medical image electronic archive;

step 2, consulting the subject range setting and consulting the content authority setting of the medical image electronic archive;

step 3, setting a reference terminal corresponding to the medical image electronic file, and setting a monitoring camera in the reference terminal;

step 4, identifying whether the medical image electronic file consulting terminal is in a consulting application state in real time, and intelligently auditing a consulting application instruction when the medical image electronic file consulting terminal is in the consulting application state;

step 5, when the review of the application instruction is successful, a target medical image report is called, and the display state of the target medical image report is processed;

step 6, displaying the processed target medical image report, analyzing the consulting operation behavior compliance corresponding to the consultant in the consulting process of the consultant, analyzing the consulting process management mode corresponding to the target medical image report according to the analysis, and executing the consulting process management mode;

step 7, restoring the target medical image report after finishing the consultation, extracting the consultation main body attribute and the consultation state attribute corresponding to a consultant, and automatically generating a consultation record;

and 8, setting a reference period, and extracting the reference record of the medical image electronic file in the reference period so as to carry out reference risk list setting.