CN109524066B - Medical data processing method and device, storage medium and electronic equipment - Google Patents
Medical data processing method and device, storage medium and electronic equipment Download PDFInfo
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- CN109524066B CN109524066B CN201811331290.2A CN201811331290A CN109524066B CN 109524066 B CN109524066 B CN 109524066B CN 201811331290 A CN201811331290 A CN 201811331290A CN 109524066 B CN109524066 B CN 109524066B
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
Abstract
The invention discloses a medical data processing method and device, a storage medium and electronic equipment, and relates to the technical field of medical information. The medical data processing method comprises the following steps: acquiring medical data; determining information of a target object in the medical data; determining a portrait element from information of the target object based on a predetermined indicator of the target object; generating an image of the target object from the image elements. The portrait can be generated according to clinical medical data, and visual analysis of the medical data is facilitated.
Description
Technical Field
The present disclosure relates to the field of medical information technology, and in particular, to a medical data processing method, a medical data processing apparatus, a storage medium, and an electronic device.
Background
The fields related to computer graphics and data visualization have been an important branch of development in computer science and data science. With the development of information technology, many mature visualization analysis methods and various HTML (HyperText Markup Language) based data visualization open source frameworks have appeared.
However, for hospital information systems, visual data analysis often relies on the technical framework provided by current hospital service providers using the systems. Most scenarios of data analysis focus on management, costs, etc. that are directly related to hospital interests and business processes. Visual analysis of medical data typically relies on individual subject representations during a medical procedure, and there is currently no solution for generating representations using clinical medical data.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure aims to provide a medical data processing method, a medical data processing apparatus, a storage medium, and an electronic device, which further realize a scheme of generating an image using clinical medical data at least to some extent, and contribute to the visual analysis of medical data.
According to an aspect of the present disclosure, there is provided a medical data processing method including: acquiring medical data; determining information of a target object in the medical data; determining a portrait element from information of the target object based on a predetermined indicator of the target object; generating an image of the target object from the image elements.
In an exemplary embodiment of the present disclosure, the target object is a medical person; wherein the predetermined indicator of the medical staff comprises a clinical business behavior of the medical staff.
In an exemplary embodiment of the present disclosure, generating a representation of the target object from the representation elements comprises: acquiring identity information of the medical staff; generating a representation of the medical staff member from the representation elements and the identity information.
In an exemplary embodiment of the present disclosure, the target object is a disease; wherein the predetermined indicators of the disease comprise one or more of onset symptoms, treatment, drug type, onset period, and patient profile of the disease.
In an exemplary embodiment of the present disclosure, the target object is a patient; the predetermined index of the patient comprises one or more of disease type, disease onset time, treatment process and treatment means.
In an exemplary embodiment of the present disclosure, generating a representation of the target object from the representation elements comprises: acquiring identity information of the patient; generating a representation of the patient based on the representation elements and the identity information.
In an exemplary embodiment of the present disclosure, the medical data processing method further includes: receiving an image acquisition request sent by a user; wherein the representation acquisition request includes identification information of a target object; sending the representation of the target object to the user.
According to one aspect of the present disclosure, a medical data processing apparatus is provided that includes a data acquisition module, an information determination module, an element determination module, and a representation generation module.
Specifically, the data acquisition module may be configured to acquire medical data; the information determination module can be used for determining the information of the target object in the medical data; the element determination module may be configured to determine a portrait element from information of the target object based on a predetermined indicator of the target object; a representation generation module may be configured to generate a representation of the target object from the representation elements.
In one exemplary embodiment of the present disclosure, the target object is a medical person; wherein the predetermined indicator of the medical staff comprises clinical business behavior of the medical staff.
In an exemplary embodiment of the present disclosure, a representation generation module may include a first information acquisition unit and a first representation generation unit.
Specifically, the first information acquiring unit may be configured to acquire identity information of the medical staff; a first representation generating unit may be operative to generate a representation of the medical person from the representation elements and the identity information.
In an exemplary embodiment of the present disclosure, the target object is a disease; wherein the predetermined indicators of the disease comprise one or more of onset symptoms, treatment, drug type, onset period, and patient profile of the disease.
In an exemplary embodiment of the present disclosure, the target object is a patient; the predetermined index of the patient comprises one or more of disease type, disease onset time, treatment process and treatment means.
In an exemplary embodiment of the present disclosure, the portrait generation module may include a second information acquisition unit and a second portrait generation unit.
Specifically, the second information obtaining unit may be configured to obtain identity information of the patient; a second representation generating unit may be operative to generate a representation of the patient based on the representation elements and the identity information.
In an exemplary embodiment of the present disclosure, the medical data processing apparatus may further include a request receiving module and a representation sending module.
Specifically, the request receiving module may be configured to receive an image obtaining request sent by a user; wherein the representation acquisition request includes identification information of a target object; a representation sending module may be configured to send a representation of the target object to the user.
According to an aspect of the present disclosure, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the medical data processing method of any one of the above.
According to an aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform any one of the medical data processing methods described above via execution of the executable instructions.
In some embodiments of the present disclosure, an image of a target object may be determined from medical data by determining information of the target object in the medical data, determining an image element from the information of the target object according to a predetermined indicator of the target object, and generating an image of the target object from the image element, thereby facilitating visual display of the target object and analytical study of the target object.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:
fig. 1 schematically shows a flow chart of a medical data processing method according to an exemplary embodiment of the present disclosure;
fig. 2 schematically shows a block diagram of a medical data processing device according to an exemplary embodiment of the present disclosure;
FIG. 3 schematically illustrates a block diagram of a representation generation module, according to an exemplary embodiment of the present disclosure;
FIG. 4 schematically illustrates a block diagram of another representation generation module, according to an exemplary embodiment of the present disclosure;
fig. 5 schematically shows a block diagram of another medical data processing apparatus according to an exemplary embodiment of the present disclosure;
FIG. 6 shows a schematic diagram of a storage medium according to an example embodiment of the present disclosure; and
fig. 7 schematically shows a block diagram of an electronic device according to an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the steps. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Fig. 1 schematically shows a flow chart of a medical data processing method of an exemplary embodiment of the present disclosure. Referring to fig. 1, the medical data processing method may include the steps of:
s12, medical data are obtained.
In an exemplary embodiment of the present disclosure, the medical data may include data generated based on a patient's visit procedure. Specifically, the information corresponding to the medical data may include, but is not limited to, the time of the patient visit, the department of the patient visit, the name of the treating physician, the chief complaint, the type of disease, the treatment method, and the like.
The server may obtain the medical data from a data platform of the medical institution. In this case, the server may pre-construct a trust relationship with the medical institution so that the server has the right to obtain data from the medical institution. For example, the existing cryptography principle may be used to construct the trust relationship between the server and the medical institution, specifically, the medical institution may encrypt the medical data by using the public key of the server, and the server may decrypt the medical data by using its own private key after obtaining the secret text of the medical data, so as to obtain the plaintext of the medical data, and so on. The present disclosure does not specifically limit the communication connection manner between the server and the medical institution.
According to some embodiments of the present disclosure, the server may perform cleaning, classification, data structuring, etc. processes on the medical data.
In addition, the server can acquire medical data regularly, for example, the medical data of the previous day is acquired every morning, and the advantage of acquiring the data in the morning is that the occupancy rate of the server is small and the network transmission congestion can be avoided. In addition, the server can also acquire the medical data on line in real time so as to further process the medical data in time.
S14, determining the information of the target object in the medical data.
In an exemplary embodiment of the present disclosure, the server may determine all information corresponding to a target object in the medical data, wherein in an embodiment of the present disclosure, the target object may refer to a medical staff, and the medical staff described in the present disclosure mainly refers to a doctor who diagnoses a patient, however, the medical staff may also be a nurse, an anesthesiologist, a medical examiner, and the like, and in the case that the target object is a doctor, the information of the target object may include, but is not limited to, information that the doctor communicates with the patient in order to understand a disease condition, information that the doctor analyzes the disease condition, information of a test list listed by the doctor, information of a specific diagnosis, information of performing an operation, and the like.
In another embodiment of the present disclosure, the target object may refer to a disease (e.g., a tumor), in which case the information of the target object may contain all information related to the tumor, e.g., possible causes of the tumor, marker distribution characteristics of the tumor, size, location of the tumor, etc.
In yet another embodiment of the present disclosure, the target object may refer to a patient, in which case the information of the target object may include a complaint of the patient, a diagnostic procedure, a therapeutic procedure, and the like of the patient.
S16, determining portrait elements from the information of the target object according to the preset index of the target object.
In an exemplary embodiment of the present disclosure, the predetermined index of the target object may be determined according to the type of the portrait that is actually intended to be constructed. For example, in the case where the target object is a doctor, if it is desired to construct a picture about an operation aspect of the doctor, the predetermined index may be configured as an index related to the operation, such as an operation type, an operation duration, an operation participation degree, and the like. That is, the predetermined index of the medical staff may comprise the clinical business behavior of the medical staff.
In the case where the target object is a tumor, the predetermined index may be configured to emphasize the distribution of the markers of the tumor and the site of the tumor. In addition, the predetermined indicators of the disease may include one or more of onset symptoms of the disease, treatment, drug type, onset period, and patient profile.
In the case where the target object is a patient, the condition and the evolution of the condition of the patient over time may be used as the predetermined index. In addition, the predetermined index of the patient includes one or more of a disease type, an onset time, a medical procedure, and a medical means.
It is easily understood that, besides a certain characteristic or certain characteristics as the predetermined index, the predetermined index of other embodiments of the present disclosure may also correspond to all the information in step S14 to comprehensively embody all the characteristics of the target object.
The server may determine portrait elements from information of the target object based on predetermined indicia of the target object, it being noted that each portrait element may correspond to a feature of the target object.
And S18, generating the portrait of the target object according to the portrait elements.
In the embodiment in which the target object is a medical staff, first, the server may further obtain identity information of the medical staff, such as age, title, academic calendar, profession, year of work, and the like; next, the server may determine a representation of the medical personnel based on the representation elements and the identity information determined in step S16. Further, different weights may be assigned to each image element and the identification information, and the image of the medical staff may be generated by integrating the weights, the identification information, and the image elements.
In embodiments where the target object is a disease, an image of the disease may be determined based on the image elements of the disease.
In the embodiment where the target object is a patient, first, the server may further obtain identity information of the patient, such as age, occupation, sex, and the like; next, the server may determine a representation of the patient based on the representation elements and the identity information determined in step S16. Further, different weights may be assigned to each image element and the identification information, and the weights, the identification information, and the image elements may be integrated to generate an image of the patient.
Further, the present disclosure may also include examples of applying a representation of a target object to a search scene. Specifically, a user (clinical staff) may send a picture acquisition request to the server, wherein the picture acquisition request may contain identification information of the target object. Next, the server may send the representation of the target object to the user.
For example, when a user wants to learn about tumor a, a request to obtain tumor a may be sent to the server, the server may respond to the request, and in the event that the user satisfies the permissions, the server may send a representation of tumor a to the user. Therefore, the user can acquire information such as the distribution characteristics, the size, the common parts, the complications and the like of the markers of the tumor A and can further analyze and research the information. Compared with the search results of some current search engines on the tumor A, the image of the tumor A is derived from actual medical data, and the image is stronger in authenticity and more detailed and comprehensive.
It will be readily appreciated that the medical data may include a plurality of patient medical procedures, some of which may correspond to the same target object, and that the image elements of the target object may be more fully determined by integrating the medical procedures.
According to the medical data processing method of the disclosed exemplary embodiment, the image of the target object can be determined from the medical data by determining the information of the target object in the medical data, determining the image element from the information of the target object according to the preset index of the target object, and generating the image of the target object according to the image element, thereby being beneficial to the visual display of the target object and the analysis research of the target object.
It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Further, the example embodiment also provides a medical data processing device.
Fig. 2 schematically shows a block diagram of a medical data processing device of an exemplary embodiment of the present disclosure. Referring to fig. 2, the medical data processing apparatus 2 according to an exemplary embodiment of the present disclosure may include a data acquisition module 21, an information determination module 23, an element determination module 25, and a representation generation module 27.
Specifically, the data acquisition module 21 may be configured to acquire medical data; the information determination module 23 may be configured to determine information of a target object in the medical data; element determination module 25 may be configured to determine a portrait element from information of the target object based on a predetermined indicator of the target object; a representation generation module 27 may be used to generate a representation of the target object from the representation elements.
According to the medical data processing device of the exemplary embodiment of the disclosure, the portrait of the target object can be determined from the medical data, and the visual display of the target object and the analysis research of the target object are facilitated.
According to an exemplary embodiment of the present disclosure, the target object is a medical staff; wherein the predetermined indicator of the medical staff comprises clinical business behavior of the medical staff.
According to an exemplary embodiment of the present disclosure, referring to fig. 3, the portrait generation module 27 may include a first information acquisition unit 301 and a first portrait generation unit 303.
Specifically, the first information acquiring unit 301 may be configured to acquire identity information of the medical staff; the first representation generating unit 303 may be adapted to generate a representation of the medical person from the representation elements and the identity information.
According to an exemplary embodiment of the present disclosure, the target object is a disease; wherein the predetermined indicators of the disease comprise one or more of onset symptoms, treatment, drug type, onset period, and patient profile of the disease.
According to an exemplary embodiment of the present disclosure, the target object is a patient; the predetermined index of the patient comprises one or more of disease type, disease onset time, treatment process and treatment means.
According to an exemplary embodiment of the present disclosure, referring to fig. 4, another portrait generation module 41 of the present disclosure may include a second information acquisition unit 401 and a second portrait generation unit 403.
Specifically, the second information obtaining unit 401 may be configured to obtain identity information of the patient; a second representation generating unit 403 may be used to generate a representation of the patient from the representation elements and the identity information.
According to an exemplary embodiment of the present disclosure, referring to fig. 5, the medical data processing apparatus 5 may include a request receiving module 51 and a portrait transmitting module 53 in addition to the data acquiring module 21, the information determining module 23, the element determining module 25, and the portrait generating module 27.
Specifically, the request receiving module 51 may be configured to receive an image obtaining request sent by a user; wherein the representation acquisition request includes identification information of a target object; a representation sending module 53 may be used to send a representation of the target object to the user.
Since each functional module of the program operation performance analysis apparatus according to the embodiment of the present invention is the same as that in the embodiment of the present invention, it is not described herein again.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
Referring to fig. 6, a program product 600 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 700 according to this embodiment of the invention is described below with reference to fig. 7. The electronic device 700 shown in fig. 7 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 7, electronic device 700 is embodied in the form of a general purpose computing device. The components of the electronic device 700 may include, but are not limited to: the at least one processing unit 710, the at least one memory unit 720, a bus 730 connecting different system components (including the memory unit 720 and the processing unit 710), and a display unit 740.
Wherein the storage unit stores program code that is executable by the processing unit 710 such that the processing unit 710 performs the steps according to various exemplary embodiments of the present invention as described in the above section "exemplary method" of the present specification. For example, the processing unit 710 may perform steps S10 to S18 as shown in fig. 1.
The storage unit 720 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)7201 and/or a cache memory unit 7202, and may further include a read only memory unit (ROM) 7203.
The storage unit 720 may also include a program/utility 7204 having a set (at least one) of program modules 7205, such program modules 7205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 700 may also communicate with one or more external devices 800 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 700, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 700 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 750. Also, the electronic device 700 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 760. As shown, the network adapter 760 communicates with the other modules of the electronic device 700 via the bus 730. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 700, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.
Claims (9)
1. A medical data processing method, comprising:
receiving a portrait acquisition request sent by a terminal device of a user, wherein the portrait acquisition request contains identification information of a target object;
under the condition that the terminal equipment of the user meets the authority, according to the portrait acquisition request, periodically acquiring medical data from a data platform of a medical institution, and performing one or more processes of cleaning, classifying and data structuring on the medical data, wherein the medical data comprises the time of a patient to see a doctor, a department of the patient to see a doctor, the name of a main doctor, a chief complaint, a disease type and a treatment mode, and the medical data is encrypted by a public key of a server adopted by the medical institution;
determining information of a target object in the medical data, the target object being a combination of one or more of a medical staff, a disease, a patient;
determining a portrait element from information of the target object based on a predetermined indicator of the target object;
generating an image of the target object based on the image elements and the weights of the image elements;
and returning the portrait of the target object to the terminal equipment of the user.
2. The medical data processing method according to claim 1, wherein the target object is a medical person; wherein the predetermined indicator of the medical staff comprises a clinical business behavior of the medical staff.
3. The medical data processing method of claim 2, wherein generating the representation of the target object from the representation elements comprises:
acquiring identity information of the medical staff;
generating a representation of the medical staff member from the representation elements and the identity information.
4. The medical data processing method of claim 1, wherein the target object is a disease; wherein the predetermined indicators of the disease comprise one or more of onset symptoms, treatment, drug type, onset period, and patient profile of the disease.
5. The medical data processing method according to claim 1, wherein the target object is a patient; the predetermined index of the patient comprises one or more of disease type, disease onset time, treatment process and treatment means.
6. The medical data processing method of claim 5, wherein generating the representation of the target object from the representation elements comprises:
acquiring identity information of the patient;
generating a representation of the patient based on the representation elements and the identity information.
7. A medical data processing apparatus, characterized by comprising:
the system comprises a request receiving module, a processing module and a display module, wherein the request receiving module is used for receiving a portrait acquisition request sent by terminal equipment of a user, and the portrait acquisition request contains identification information of a target object;
the data acquisition module is used for periodically acquiring medical data from a data platform of a medical institution according to the portrait acquisition request under the condition that the terminal equipment of the user meets the authority, and performing one or more processes of cleaning, classifying and data structuring on the medical data, wherein the medical data comprises the patient treatment time, the treatment department, the name of a main doctor, the chief complaint, the disease type and the treatment mode; the medical data is encrypted by the medical institution by adopting a public key of a server;
an information determination module for determining information of a target object in the medical data, the target object being a combination of one or more of a medical staff, a disease, a patient;
an element determination module for determining an image element from information of the target object based on a predetermined indicator of the target object;
an image generation module for generating an image of the target object based on the image elements and the weights of the image elements;
and the portrait returning module is used for returning the portrait of the target object to the terminal equipment of the user.
8. A storage medium on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the medical data processing method of any one of claims 1 to 6.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the medical data processing method of any one of claims 1-6 via execution of the executable instructions.
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| CN201811331290.2A CN109524066B (en) | 2018-11-09 | 2018-11-09 | Medical data processing method and device, storage medium and electronic equipment |
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| CN201811331290.2A CN109524066B (en) | 2018-11-09 | 2018-11-09 | Medical data processing method and device, storage medium and electronic equipment |
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| CN112445791B (en) * | 2019-08-30 | 2023-06-27 | 金色熊猫有限公司 | Data management method and device |
| CN112528617A (en) * | 2020-12-02 | 2021-03-19 | 东软集团股份有限公司 | Data processing method, data processing device, storage medium and electronic equipment |
| CN112562808B (en) * | 2020-12-11 | 2024-01-19 | 北京百度网讯科技有限公司 | Patient portrait generation method, apparatus, electronic device and storage medium |
| CN117033729A (en) * | 2023-08-08 | 2023-11-10 | 北京健康在线技术开发有限公司 | Doctor imaging method, apparatus, device and storage medium for evaluating doctor ability |
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