CN111028921A - Visualization method and system for patient information - Google Patents
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- CN111028921A CN111028921A CN201911249247.6A CN201911249247A CN111028921A CN 111028921 A CN111028921 A CN 111028921A CN 201911249247 A CN201911249247 A CN 201911249247A CN 111028921 A CN111028921 A CN 111028921A
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- 238000013507 mapping Methods 0.000 claims abstract description 56
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- 229940079593 drug Drugs 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 6
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- 238000012795 verification Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000003908 quality control method Methods 0.000 description 3
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Abstract
The invention relates to a method and a system for visualizing patient information. The method comprises the steps of obtaining unique identification information of a patient; acquiring medical information of the patient according to the unique identification information of the patient; establishing a mapping relation between the medical information of the patient and organs of all parts of the 3D human body model to obtain a mapping relation of an anatomical object; updating the 3D human body model according to the mapping relation of the anatomical object to obtain an updated 3D human body model; and visualizing the patient information according to the updated 3D human body model. The visualization method and system for the patient information provided by the invention solve the problem of low diagnosis efficiency of patients in the prior art.
Description
Technical Field
The invention relates to the field of information processing, in particular to a method and a system for visualizing patient information.
Background
With the progress of medical informatization and digital imaging technology, the data volume in a medical information system has an explosive growth trend, and each time a patient visits and is subjected to physical examination, various examination information is stored in the information system of a hospital. The more patient exams, the more workload and difficulty a physician may have to review the patient's historical exam information. When a doctor needs to diagnose a patient with a plurality of examination records, the doctor needs to respectively inquire in each medical information system (such as a medical image storage and archiving system (PACS), an examination information system (LIS), a Radiology Information System (RIS), a Clinical Information System (CIS) and the like) and check the electronic medical record records of the patient one by one, which wastes a large amount of time; and because the workload is large, the whole medical state of the patient cannot be rapidly mastered, and the phenomena of misdiagnosis and missed diagnosis can be caused. Therefore, in the current big data age, the prior art cannot realize efficient diagnosis of patient information.
Disclosure of Invention
The invention aims to provide a method and a system for visualizing patient information, which solve the problem of low patient diagnosis efficiency in the prior art.
In order to achieve the purpose, the invention provides the following scheme:
a method of visualizing patient information, comprising:
acquiring unique identification information of a patient; the unique identification information of the patient comprises a globally unique identification number of the patient, a unique identification number of the patient, the name, the sex, the date of birth, the nationality, the marital situation, a contact address and a contact person;
acquiring medical information of the patient according to the unique identification information of the patient; the medical information is acquired from a medical image storage and archiving system, a checking information system, a radiology department information system and a clinical information system through an HTTP (hyper text transport protocol);
establishing a mapping relation between the medical information of the patient and organs of all parts of the 3D human body model to obtain a mapping relation of an anatomical object;
updating the 3D human body model according to the mapping relation of the anatomical object to obtain an updated 3D human body model;
visualizing the patient information according to the updated 3D human body model; the visualization of the patient information includes a 3D display of the organ, a display of a picture of the organ, and a display of organ medical information.
Optionally, the acquiring medical information of the patient according to the unique patient identification information further includes:
obtaining a type of medical information of the patient; the types include: text data and DICOM images; the text data comprises medical orders, discharge knots, medication and examination and inspection reports;
extracting key information of the medical information of the patient correspondingly according to the type of the medical information of the patient; the key information includes the examination time, the examination part and the examination result of the patient.
Optionally, the establishing a mapping relationship between the medical information of the patient and organs of various parts of the 3D human body model to obtain a mapping relationship of an anatomical object specifically includes:
constructing a topology between the hierarchically organized organs and sub-organs according to a human organ tissue structure defined by clinical medical terminology standards;
mapping the key information of the medical information of the patient to the corresponding position of the topological structure to obtain a visual index object of the patient;
and mapping the visual index object to the corresponding position of the 3D human body model to obtain the mapping relation of the anatomical object.
Optionally, the visualizing the patient information according to the updated 3D human body model further includes:
displaying the focus part;
and performing three-dimensional reconstruction on the focus part.
A system for visualization of patient information, comprising:
the identification information acquisition module is used for acquiring unique identification information of the patient; the unique identification information of the patient comprises a globally unique identification number of the patient, a unique identification number of the patient, the name, the sex, the date of birth, the nationality, the marital situation, a contact address and a contact person;
the medical information determining module is used for determining the medical information of the patient according to the unique identification information of the patient; the medical information is acquired from a medical image storage and archiving system, a checking information system, a radiology department information system and a clinical information system through an HTTP (hyper text transport protocol);
the mapping relation determining module of the anatomical object is used for establishing the mapping relation between the medical information of the patient and organs of all parts of the 3D human body model to obtain the mapping relation of the anatomical object;
the human body model updating module is used for updating the 3D human body model according to the mapping relation of the anatomical object to obtain an updated 3D human body model;
the visualization module is used for visualizing the patient information according to the updated 3D human body model; the visualization of the patient information includes a 3D display of the organ, a display of a picture of the organ, and a display of organ medical information.
Optionally, the method further includes:
the type acquisition module of the medical information is used for acquiring the type of the medical information of the patient; the types include: text data and DICOM images; the text data comprises medical orders, discharge knots, medication and examination and inspection reports;
the key information extraction module is used for correspondingly extracting the key information of the medical information of the patient according to the type of the medical information of the patient; the key information includes the examination time, the examination part and the examination result of the patient.
Optionally, the mapping relation determining module of the anatomical object specifically includes:
a topology determining unit for constructing a topology between the hierarchically organized organs and sub-organs according to a human organ tissue structure defined by clinical medical terminology standards;
the visual index object determining unit is used for mapping the key information of the medical information of the patient to the corresponding position of the topological structure to obtain a visual index object of the patient;
and the mapping relation determining unit of the anatomical object is used for mapping the visual index object to the corresponding position of the 3D human body model to obtain the mapping relation of the anatomical object.
Optionally, the method further includes:
the focus part display module is used for displaying the focus part;
and the focus part reconstruction module is used for performing three-dimensional reconstruction on the focus part.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the visualization method and system for the patient information, provided by the invention, the medical state of the organ of the patient is displayed and inquired through the 3D human body model by establishing the mapping relation between the medical information of the patient and the organ of each part of the 3D human body model. All medical information of a patient is mapped into the 3D human body model, so that a doctor (under the condition of not searching and browsing various electronic medical record data of the patient) operates a patient case to quickly patrol, navigate and browse the whole health condition and the focus of an organ part of the patient, quickly master the whole medical state of the patient, reduce the risks of misdiagnosis and missed diagnosis and realize efficient diagnosis of the patient information.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for visualizing patient information according to the present invention;
fig. 2 is a schematic structural diagram of a visualization system for patient information according to 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for visualizing patient information, which solve the problem of low patient diagnosis efficiency in the prior art.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a schematic flow chart of a method for visualizing patient information, as shown in fig. 1, the method for visualizing patient information, according to the present invention, includes:
s101, acquiring unique identification information of a patient; the patient unique identification information comprises a patient global unique identification number, a patient name, a sex, a birth date, a nationality, a marital situation, a contact address and a contact person.
S102, acquiring medical information of the patient according to the unique identification information of the patient; the medical information is acquired from a medical image storage and archiving system, a checking information system, a radiology department information system and a clinical information system through an HTTP protocol.
The medical information includes medical history, historical encounter information, and current encounter information.
And performing quality control verification on the medical information of the patient, and judging whether the medical information of the patient contains empty examination information.
Obtaining a type of medical information of the patient; the types include: text data and DICOM images and other videos and pictures; the textual data includes orders, discharge nodules, medication and examination reports.
DICOM images include CT, MRI, DX, US and PETCT.
Extracting key information of the medical information of the patient correspondingly according to the type of the medical information of the patient; the key information includes the examination time, the examination part and the examination result of the patient.
Wherein, for the medical advice, the medical records of the patient, such as allergy history, disease history, clinical diagnosis, diagnosis result, treatment scheme, medicine, etc. are extracted.
For the discharge summary, the date of the discharge, diagnosis result, operation record, result, etc. are extracted.
And extracting abnormal indexes for the inspection report.
For the report of the electrocardio-ultrasound and the like, the report examination date, the examination method, the result and the like are extracted.
For the image report, extracting key information such as inspection method, part, focus position, size, conclusion and the like.
For the image, key information such as image characteristic values, examination date, examination equipment, examination description, lesion positions, sizes and the like is extracted.
S103, establishing a mapping relation between the medical information of the patient and organs of all parts of the 3D human body model to obtain a mapping relation of the anatomical object.
The 3D human body model is a prototype of a 3D human body model of 3DBody medical technology company, and the digital model is drawn and displayed through 3Ds Max software of Autodesk company, and comprises a bone system, internal organs, a blood circulation system, a nervous system and the like. The 3D human body model is divided into a male model and a female model.
Constructing a topology between the hierarchically organized organs and sub-organs according to a human organ tissue structure defined by clinical medical terminology standards;
mapping the key information of the medical information of the patient to the corresponding position of the topological structure to obtain a visual index object of the patient;
and mapping the visual index object to the corresponding position of the 3D human body model to obtain the mapping relation of the anatomical object.
And S104, updating the 3D human body model according to the mapping relation of the anatomical object to obtain the updated 3D human body model.
And reflecting the medical condition of the patient by operating different levels of the updated 3D human body model.
S105, visualizing the patient information according to the updated 3D human body model; the visualization of the patient information includes a 3D display of the organ, a display of a picture of the organ, and a display of organ medical information.
The updated 3D human body model may be subjected to operations such as horizontal rotation, vertical movement, enlargement, reduction, display hierarchy, and the like.
The characteristics of the organ focus are visually expressed by using different color maps, and the display levels of the digital model are freely switched, so that each organ, part and color characteristic of each organ can have the optimal display effect.
After the visualization of the patient information, the operation can be performed by displaying image thumbnails, examination reports, lesion intelligent analysis results and images in a 2D/3D/4D mode.
In order to more clearly understand the focus information, the focus part can be displayed; and performing three-dimensional reconstruction on the focus part.
In order to more clearly understand the process of the method for visualizing the patient information provided by the present invention, the following embodiments are described.
Example 1
Acquiring medical information of the patient according to the unique identification information of the patient; the type of the medical information is DICOM images.
And extracting key information of the medical information of the DICOM image type, and storing the extracted key information.
And carrying out artificial intelligence detection on the extracted key information, identifying the position size and the degree of malignancy of the focus, updating a visual index of a related patient, providing a focus (real, non-real, size and the like) quantitative change curve by combining historical focus data, and obtaining a prediction result.
And mapping the prediction result and the extracted key information to each part organ of the 3D human body model, and carrying out corresponding change on each part organ of the 3D human body model according to the prediction result and the extracted key information. For example, if the prediction result indicates that a new lesion is generated, the organ corresponding to the new lesion is displayed with a corresponding color.
A report of the corresponding part or organ is displayed from the updated 3D phantom and the associated image is displayed.
Example 2
And acquiring text data from other systems such as LIS/HIS/RIS and the like through HTTP protocol and other protocols.
Performing quality control verification on the text data, wherein the quality control verification comprises whether a check report is complete or not, returning an error code of a sending end after the verification fails, and recording a log, wherein the image report comprises structured texts such as basic information of a patient, a checking hospital, a related image student instance UID, checking time, checking methods and parameters, checking equipment, a checking doctor, a report and an auditing doctor, image expression (finding), a conclusion and the like;
extracting key information from the text data, and storing the key information;
mapping the extracted key information to corresponding organs of the 3D human body model, and updating the color of relevant tissues and organs of the human body model;
displaying a report relating to the part or organ and displaying the related image.
Other types of data presentations such as relevant visit documents and pictures can also be obtained for a certain visit record.
The visualization method of the patient information provided by the invention provides an effective solution for the difficult problem of medical big data identification and understanding, realizes man-machine (doctor and patient images and electronic medical record information) interaction in a personalized, rapid, visual, comprehensive and quantitative manner and is easy to understand, can be used for large hospitals, image data centers, intra-regional and cross-regional image collaborative sharing exchange platforms, and supports the healthy development of the image technology in China.
Corresponding to the above method, the present invention further provides a visualization system of patient information, as shown in fig. 2, the visualization system of patient information provided by the present invention includes: an identification information acquisition module 201, a medical information determination module 202, a mapping relation determination module 203 of an anatomical object, a human body model update module 204, and a visualization module 205.
The identification information obtaining module 201 is used for obtaining unique identification information of a patient. The patient unique identification information comprises a patient global unique identification number, a patient name, a sex, a birth date, a nationality, a marital situation, a contact address and a contact person.
The medical information determining module 202 is used for determining medical information of the patient according to the unique patient identification information; the medical information is acquired from a medical image storage and archiving system, a checking information system, a radiology department information system and a clinical information system through an HTTP protocol.
The mapping relation determining module 203 of the anatomical object is configured to establish a mapping relation between the medical information of the patient and organs of various parts of the 3D human body model, so as to obtain a mapping relation of the anatomical object.
The human body model updating module 204 is configured to update the 3D human body model according to the mapping relationship of the anatomical object, so as to obtain an updated 3D human body model.
The visualization module 205 is configured to perform visualization of patient information according to the updated 3D human body model; the visualization of the patient information includes a 3D display of the organ, a display of a picture of the organ, and a display of organ medical information.
In order to reflect medical treatment situations at different levels, namely that a user is possible to view images, and also possible to see medical orders, discharge knots and laboratory reports, the invention provides a visualization system for patient information, which further comprises: the medical information type acquisition module and the key information extraction module.
The type acquisition module of the medical information is used for acquiring the type of the medical information of the patient; the types include: text data and DICOM images; the textual data includes orders, discharge nodules, medication and examination reports.
The key information extraction module is used for extracting the key information of the medical information of the patient correspondingly according to the type of the medical information of the patient; the key information includes the examination time, the examination part and the examination result of the patient.
The mapping relation determining module 203 of the anatomical object specifically includes:
the topology determining unit is used for constructing a topology between the layered organs and sub-organs according to a human organ tissue structure defined by clinical medical terminology standard.
The visual index object determining unit is used for mapping the key information of the medical information of the patient to the corresponding position of the topological structure to obtain a visual index object of the patient.
The mapping relation determining unit of the anatomical object is used for mapping the visual index object to the corresponding position of the 3D human body model to obtain the mapping relation of the anatomical object.
In order to more clearly understand and predict the patient condition, the invention provides a visualization system of patient information, further comprising: a focus position display module and a focus position reconstruction module.
The focus position display module is used for displaying focus positions.
The focus part reconstruction module is used for performing three-dimensional reconstruction on the focus part.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (8)
1. A method for visualizing patient information, comprising:
acquiring unique identification information of a patient; the unique identification information of the patient comprises a globally unique identification number of the patient, a unique identification number of the patient, the name, the sex, the date of birth, the nationality, the marital situation, a contact address and a contact person;
acquiring medical information of the patient according to the unique identification information of the patient; the medical information is acquired from a medical image storage and archiving system, a checking information system, a radiology department information system and a clinical information system through an HTTP (hyper text transport protocol);
establishing a mapping relation between the medical information of the patient and organs of all parts of the 3D human body model to obtain a mapping relation of an anatomical object;
updating the 3D human body model according to the mapping relation of the anatomical object to obtain an updated 3D human body model;
visualizing the patient information according to the updated 3D human body model; the visualization of the patient information includes a 3D display of the organ, a display of a picture of the organ, and a display of organ medical information.
2. A method for visualizing information of a patient as in claim 1, wherein said obtaining medical information of a patient based on said unique identification information of a patient further comprises:
obtaining a type of medical information of the patient; the types include: text data and DICOM images; the text data comprises medical orders, discharge knots, medication and examination and inspection reports;
extracting key information of the medical information of the patient correspondingly according to the type of the medical information of the patient; the key information includes the examination time, the examination part and the examination result of the patient.
3. The method according to claim 2, wherein the establishing a mapping relationship between the medical information of the patient and the organs of the respective parts of the 3D human body model to obtain a mapping relationship of the anatomical object comprises:
constructing a topology between the hierarchically organized organs and sub-organs according to a human organ tissue structure defined by clinical medical terminology standards;
mapping the key information of the medical information of the patient to the corresponding position of the topological structure to obtain a visual index object of the patient;
and mapping the visual index object to the corresponding position of the 3D human body model to obtain the mapping relation of the anatomical object.
4. A method for visualizing patient information as in claim 1, wherein said visualizing of patient information based on said updated 3D body model further comprises:
displaying the focus part;
and performing three-dimensional reconstruction on the focus part.
5. A system for visualizing patient information, comprising:
the identification information acquisition module is used for acquiring unique identification information of the patient; the unique identification information of the patient comprises a globally unique identification number of the patient, a unique identification number of the patient, the name, the sex, the date of birth, the nationality, the marital situation, a contact address and a contact person;
the medical information determining module is used for determining the medical information of the patient according to the unique identification information of the patient; the medical information is acquired from a medical image storage and archiving system, a checking information system, a radiology department information system and a clinical information system through an HTTP (hyper text transport protocol);
the mapping relation determining module of the anatomical object is used for establishing the mapping relation between the medical information of the patient and organs of all parts of the 3D human body model to obtain the mapping relation of the anatomical object;
the human body model updating module is used for updating the 3D human body model according to the mapping relation of the anatomical object to obtain an updated 3D human body model;
the visualization module is used for visualizing the patient information according to the updated 3D human body model; the visualization of the patient information includes a 3D display of the organ, a display of a picture of the organ, and a display of organ medical information.
6. A visualization system of patient information as recited in claim 5, further comprising:
the type acquisition module of the medical information is used for acquiring the type of the medical information of the patient; the types include: text data and DICOM images; the text data comprises medical orders, discharge knots, medication and examination and inspection reports;
the key information extraction module is used for correspondingly extracting the key information of the medical information of the patient according to the type of the medical information of the patient; the key information includes the examination time, the examination part and the examination result of the patient.
7. A visualization system of patient information as recited in claim 6, wherein the mapping relation determining module of the anatomical object comprises:
a topology determining unit for constructing a topology between the hierarchically organized organs and sub-organs according to a human organ tissue structure defined by clinical medical terminology standards;
the visual index object determining unit is used for mapping the key information of the medical information of the patient to the corresponding position of the topological structure to obtain a visual index object of the patient;
and the mapping relation determining unit of the anatomical object is used for mapping the visual index object to the corresponding position of the 3D human body model to obtain the mapping relation of the anatomical object.
8. A visualization system of patient information as recited in claim 5, further comprising:
the focus part display module is used for displaying the focus part;
and the focus part reconstruction module is used for performing three-dimensional reconstruction on the focus part.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113012789A (en) * | 2021-03-24 | 2021-06-22 | 纵深视觉科技(南京)有限责任公司 | Patient information visualization method, device, medium and electronic equipment |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102194059A (en) * | 2011-05-24 | 2011-09-21 | 中国科学院上海技术物理研究所 | Visual indexing system for medical information system |
CN103778346A (en) * | 2014-02-18 | 2014-05-07 | 中国科学院上海技术物理研究所 | Medical information processing method and device |
CN103793611A (en) * | 2014-02-18 | 2014-05-14 | 中国科学院上海技术物理研究所 | Medical information visualization method and device |
CN104462765A (en) * | 2014-11-04 | 2015-03-25 | 宝鸡数字人信息科技有限公司 | Three-dimensional visualization doctor-patient communication platform construction method and system |
CN107330238A (en) * | 2016-08-12 | 2017-11-07 | 中国科学院上海技术物理研究所 | Medical information collection, processing, storage and display methods and device |
CN108074637A (en) * | 2016-11-08 | 2018-05-25 | 百度在线网络技术(北京)有限公司 | Hospital guide's method and diagnosis guiding system |
-
2019
- 2019-12-09 CN CN201911249247.6A patent/CN111028921A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102194059A (en) * | 2011-05-24 | 2011-09-21 | 中国科学院上海技术物理研究所 | Visual indexing system for medical information system |
CN103778346A (en) * | 2014-02-18 | 2014-05-07 | 中国科学院上海技术物理研究所 | Medical information processing method and device |
CN103793611A (en) * | 2014-02-18 | 2014-05-14 | 中国科学院上海技术物理研究所 | Medical information visualization method and device |
CN104462765A (en) * | 2014-11-04 | 2015-03-25 | 宝鸡数字人信息科技有限公司 | Three-dimensional visualization doctor-patient communication platform construction method and system |
CN107330238A (en) * | 2016-08-12 | 2017-11-07 | 中国科学院上海技术物理研究所 | Medical information collection, processing, storage and display methods and device |
CN108074637A (en) * | 2016-11-08 | 2018-05-25 | 百度在线网络技术(北京)有限公司 | Hospital guide's method and diagnosis guiding system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113012789A (en) * | 2021-03-24 | 2021-06-22 | 纵深视觉科技(南京)有限责任公司 | Patient information visualization method, device, medium and electronic equipment |
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