CN112562818A - System and method for designing and realizing diagnosis logic based on structured report sub-template - Google Patents
System and method for designing and realizing diagnosis logic based on structured report sub-template Download PDFInfo
- Publication number
- CN112562818A CN112562818A CN202011391510.8A CN202011391510A CN112562818A CN 112562818 A CN112562818 A CN 112562818A CN 202011391510 A CN202011391510 A CN 202011391510A CN 112562818 A CN112562818 A CN 112562818A
- Authority
- CN
- China
- Prior art keywords
- cde
- module
- data
- diagnosis
- sub
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Theoretical Computer Science (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention provides a system for realizing diagnosis logic based on the design of a structured report sub-template, which comprises a characteristic definition module, a characteristic description module and a diagnosis module, wherein the characteristic definition module is used for configuring a CDE set corresponding to the characteristic description module for each diagnosis type, and the CDE set comprises CDE of parts/tissues of diseases, CDE of imaging performance characteristics and CDE of clinical performance characteristics; each CDE consists of at least one sub-CDE; when a doctor fills in a CDE set of diagnosis types corresponding to the core focus, a diagnosis type sorting module carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule; the CDE logic recommendation module automatically loads the next sub-CDE for the doctor to fill in when the doctor finishes each sequenced sub-CDE under the diagnosis type until the last CDE set is filled in; and the structured report generation module outputs a diagnosis conclusion. The invention also discloses a method for realizing the diagnosis logic based on the design of the structured report sub-template. The invention can reduce the difficulty of the doctor in diagnosing the image and improve the working efficiency of the doctor.
Description
Technical Field
The invention relates to the field of medical information, in particular to a system and a method for realizing diagnosis logic based on the design of a structured report sub-template.
Background
The complexity of imaging diagnosis can be divided into a plurality of categories, the first is that diagnosis can be performed by seeing imaging performance, such as fracture; secondly, the diagnostician still needs to describe the imaging performance in detail to obtain a more accurate diagnosis conclusion by observing the image to know the diagnosis conclusion, such as cerebral hemorrhage; thirdly, the imaging dimension specified by the gold standard is analyzed, and accurate diagnosis is given according to the inference logic of the gold standard, such as TNM staged diagnosis of tumors; there is also the possibility that the imaging examination does not lead to an immediate diagnosis based on a small number of imaging performances, and it is necessary to exclude between several possibilities, such as MR head-enhanced scanning to find T1 low signals in four ventricles, and the occupation lesion with a clearly enhanced DCE, and possible treatment agents are ependymoma, medulloblastoma, lymphoma, glioma, meningioma, etc. with more than 10 kinds of tumors. This requires the individual exclusion by analyzing other images, clinical features.
In any reference diagnosis/differential diagnosis field of disease, 3-10 possible disease types with similar manifestations are often encountered. Differentiating them requires underlying logic based on "look-at-picture-inference-look-at-picture". At this underlying logical level, there are up to 6000 or more reference/differential diagnosis rules.
Diseases in such many areas, the underlying logic of judgment, greatly surpass the memory capacity of the human brain. Even if trained frequently, a radiologist can only learn more knowledge in the field of his or her own expertise than others, and it is difficult to apply the knowledge that was available to the predecessor in the field of his or her own expertise.
It is desirable to embed this knowledge in the structured report. However, the template of the structured report is often fixed, and it is difficult to support the logic of dynamically displaying the reference diagnosis/differential diagnosis according to the imaging performance. Therefore, in the prior art, no knowledge tool which can be internally provided with reference diagnosis/differential diagnosis logic is used for a radiologist in daily diagnosis, so that the difficulty of image diagnosis of the radiologist is increased, and the working efficiency of the radiologist is reduced.
Disclosure of Invention
In view of this, the main objective of the present invention is to provide a system and a method for implementing diagnosis logic based on the design of a structured report sub-template, which define a logic construction method of the bottom Data dimension cde (common Data element) of a structured report, dynamically generate an interface of a structured report component required for the next diagnosis according to the interpretation of image features/clinical features by a doctor in the diagnosis and treatment process according to the logic of the logic construction method, and gradually guide the analysis idea of the next step of the doctor, so as to solve the problems in the prior art that the difficulty of image diagnosis by the doctor is increased and the working efficiency of the doctor is reduced because no knowledge tool capable of referring to the diagnosis/differential diagnosis logic is built in the existing structured report.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
in one aspect, the invention provides a system for implementing diagnosis logic based on the design of a structured report sub-template, which comprises a feature definition module, a diagnosis type sorting module, a CDE logic recommendation module and a structured report generation module, wherein the feature definition module is connected with the diagnosis type sorting module and is used for defining all disease types matched with the imaging performance characteristics based on the imaging performance characteristics, configuring a CDE (structured report sub-template common data element) set corresponding to the feature description of each diagnosis type under the disease type according to the disease type, the CDE set comprises CDEs of parts and/or tissues of the disease, CDEs of the imaging performance characteristics and CDEs of clinical performance characteristics, and storing the CDE set corresponding to each diagnosis type separately; the CDE of the disease part and/or the disease tissue, the CDE of the imaging performance characteristic and the CDE of the clinical performance characteristic are all composed of at least one sub-CDE, and a preset logic relationship exists between every two sub-CDEs; the diagnosis type sorting module is respectively connected with the characteristic definition module and the CDE logic recommendation module and is used for listing all disease types matched with the core focus based on the relevant data of the CDE set when a doctor fills in the CDE set of the diagnosis type corresponding to the core focus, carrying out priority sorting on the diagnosis types associated with the CDE set according to a preset rule, and displaying the CDE set corresponding to the sorted diagnosis types at the corresponding positions of the structured report interface for the doctor to fill in; the CDE logic recommendation module is respectively connected with the diagnosis type sorting module and the structured report generation module and is used for automatically loading and displaying the next sub-CDE for the doctor to fill in based on a preset logic relation when the doctor finishes each sub-CDE under the sorted diagnosis type until the last CDE set is filled in, and submitting all data to the structured report generation module; and the structured report generation module is connected with the CDE logic recommendation module and used for sequentially generating natural language for the data based on the sequence of filling the sub CDE by the doctor and outputting a final diagnosis conclusion.
Preferably, the CDE logic recommendation module further includes a data pushing unit, which is respectively connected to the structured report generation module and the clinical module, and configured to automatically display a required image sequence at a corresponding position of the structured report interface when relevant data of a certain sub-CDE in the CDE with the imagery performance characteristics needs to be extracted from other image sequences of the current imagery examination; when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs new relevant data of imaging examination, the data of the sub-CDE is automatically output to the structural report generation module, a new imaging examination application is generated, and the new imaging examination application is sent to the clinical module for the clinician to confirm to make an imaging examination application form.
Preferably, the CDE logic recommendation module further includes a data query unit, which is respectively connected to the structured report generation module, the electronic medical record module and the laboratory information module, and configured to automatically generate a query condition when a certain sub-CDE in the CDE with clinical performance characteristics needs to acquire data of a related physical examination or data related to a laboratory, extract data of the related physical examination from the electronic medical record module, extract data related to the laboratory from the laboratory information module, and send the extracted data of the related physical examination and the extracted data related to the laboratory to the structured report generation module.
Preferably, the CDE logic recommendation module further includes an information prompt unit connected to the data query unit, and configured to automatically generate a prompt message to be displayed at a corresponding position of the structured report interface when the data of the relevant physical record is not in the electronic medical record module or the data of the relevant laboratory is not in the laboratory information module.
Preferably, the location of the disease, the organization of the disease, the imaging performance characteristics, the clinical performance characteristics, and the diagnostic conclusions are encoded using the international knowledge base.
In another aspect, the present invention further provides a method for implementing diagnostic logic based on the design of a structured report sub-template, including: the characteristic definition module defines all disease types matched with the imaging performance characteristics based on the imaging performance characteristics, configures a CDE (structured report sub-template common data element) set corresponding to the characteristic description of each diagnosis type under the disease type according to the disease type, wherein the CDE set comprises CDE of parts and/or tissues of the disease, CDE of the imaging performance characteristics and CDE of clinical performance characteristics, and stores the CDE set corresponding to each diagnosis type separately; the CDE of the disease part and/or the disease tissue, the CDE of the imaging performance characteristic and the CDE of the clinical performance characteristic are all composed of at least one sub-CDE, and a preset logic relationship exists between every two sub-CDEs; when a doctor fills in a CDE set of diagnosis types corresponding to a core focus, a diagnosis type sorting module lists all disease types matched with the core focus based on relevant data of the CDE set, carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule, and displays the CDE set corresponding to the sorted diagnosis types at corresponding positions of a structured report interface for the doctor to fill in; when a doctor finishes each sequenced sub-CDE under the diagnosis type, the CDE logic recommendation module automatically loads and displays the next sub-CDE for the doctor to fill in based on a preset logic relation, and all data are submitted to the structured report generation module until the last CDE set is filled in; and the structured report generation module generates natural language for the data in sequence based on the sequence of filling the sub-CDE by the doctor and outputs a final diagnosis conclusion.
Preferably, when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs to be extracted from other image sequences of the current imaging examination, the method further comprises: a data pushing unit in the CDE logic recommending module automatically displays the required image sequence at the corresponding position of the structured report interface; when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs new relevant data of imaging examination, the data of the sub-CDE is automatically output to the structural report generation module, a new imaging examination application is generated, and the new imaging examination application is sent to the clinical module for the clinician to confirm to make an imaging examination application form.
Preferably, when a certain sub-CDE of the CDEs of the clinical performance characteristics needs to acquire data of the relevant physical charles or laboratory related data, the method further comprises: a data query unit in the CDE logic recommendation module automatically generates query conditions, extracts data of relevant physical exams from the electronic medical record module, extracts relevant laboratory data from the laboratory information module, and sends the extracted data of the relevant physical exams and the extracted relevant laboratory data to the structured report generation module.
Preferably, when the data of the relevant physical charting is not in the electronic medical record module or the laboratory related data is not in the laboratory information module, the method further comprises: the CDE logic recommendation module also comprises an information prompt unit for automatically generating prompt information and displaying the prompt information to a corresponding position of the structured report interface.
Preferably, the method further comprises: the location of the disease, the organization of the disease, the imaging performance characteristics, the clinical performance characteristics, and the diagnostic findings are encoded using the international knowledge base.
The invention has the technical effects that:
1. because the invention is provided with the characteristic definition module, the diagnosis type ordering module, the CDE logic recommending module and the structured report generating module, the characteristic definition module can configure a CDE set corresponding to the characteristic description of each diagnosis type; when a doctor fills in a CDE set of diagnosis types corresponding to the core focus, a diagnosis type sorting module carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule based on relevant data of the CDE set, and the diagnosis types are filled in by the doctor; when a doctor finishes each sequenced sub-CDE under the diagnosis type, the CDE logic recommendation module automatically loads and displays the next sub-CDE for the doctor to fill in based on a preset logic relation, and all data are submitted to the structured report generation module until the last CDE set is filled in; the structured report generation module generates natural language for data in sequence based on the sequence of filling in the sub-CDE by the doctor and outputs a final diagnosis conclusion; the system embeds the reference diagnosis/differential diagnosis knowledge into the component of the structured report and the dynamic logic of the structured report, so that the profound knowledge which can not be completely remembered by human brains and is not unfamiliar in the professional field of the system and continuously improved can be really used by a front-line doctor, the diagnosis difficulty of the doctor is reduced, the effect of the system is greatly superior to that of other various training means and auxiliary tools, and the system is vital to generally improving the diagnosis capability of the image department of a medical institution, especially the capability of a basic medical institution;
2. because the data pushing unit is arranged, when the relevant data of a certain sub-CDE in the CDE with the iconography representation characteristics needs to be extracted from other image sequences of the current iconography or the relevant data of new iconography, the needed image sequences are automatically displayed on the structured report interface or a new application for the iconography is generated and sent to the clinical module, so that the labor intensity of an iconographist for searching images is reduced, the clinician can timely make a new application form for the iconography, and the operation of the clinician is facilitated;
3. because the data query unit is arranged, when a certain sub-CDE in the CDE with clinical performance characteristics needs to acquire data of related physical exams or data related to a laboratory, query conditions are automatically generated, the data of the related physical exams are extracted from the electronic medical record module, the data related to the laboratory are extracted from the laboratory information module, and the extracted data of the related physical exams and the data related to the laboratory are sent to the structural report generation module;
4. because the information prompting unit is arranged, when the data of the relevant physical examination is not in the electronic medical record module or the relevant laboratory data is not in the laboratory information module, the prompting information is automatically generated and displayed to the corresponding position of the structured report interface, so that an imaging doctor can be prompted to manually consult a clinician, or the relevant data of secondary inquiry is timely supplemented in the electronic medical record module (EMR), and the system is more humanized;
5. the parts of diseases, the tissues of the diseases, the imaging performance characteristics, the clinical performance characteristics and the diagnosis conclusion related to the structural report generation module in the invention are coded by using an international knowledge base, and unified semantics is used, so that the system has stronger universality.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of a system for implementing diagnostic logic based on a design of a structured report sub-template according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a lung nodule CDE interface involved in checking a lung nodule for a chest flat scan in a system implementing diagnostic logic based on a structured report sub-template design according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a bronchial CDE interface involved in checking an item for chest flat scan in a system implementing diagnostic logic based on the design of a structured report sub-template according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an abnormal lymph node CDE interface involved in the inspection of an item as a chest plan in a system for implementing diagnosis logic based on the design of a structured report sub-template according to an embodiment of the present invention;
FIG. 5 is a schematic interface diagram of a cardiac CDE interface involved in checking a program for a chest sweep in a system implementing diagnostic logic based on the design of a structured report sub-template according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a system implementing diagnostic logic based on a design of a structured report sub-template according to a second embodiment of the invention;
FIG. 7 is a schematic diagram of a system implementing diagnostic logic based on a design of a structured report sub-template according to a third embodiment of the present invention;
FIG. 8 is a diagram illustrating a system architecture for implementing diagnostic logic based on a design of a structured report sub-template, according to a fourth embodiment of the present invention;
FIG. 9 illustrates a flowchart of a method for implementing diagnostic logic based on a design of a structured report sub-template, in accordance with an embodiment of the present invention;
FIG. 10 is a CDE interface diagram of lung nodules related to a chest sweep as an examination item in a method for implementing diagnostic logic based on the design of a structured report sub-template according to a fifth embodiment of the present invention;
FIG. 11 is a schematic diagram of a bronchial CDE interface involved in a method for implementing diagnostic logic based on the design of a structured report sub-template, wherein an inspection item is chest scan, according to a fifth embodiment of the present invention;
FIG. 12 is a schematic diagram of the CDE interface of the abnormal lymph nodes involved in the inspection item of the chest flat scan in the method for implementing the diagnosis logic based on the design of the structured report sub-template according to the fifth embodiment of the present invention;
fig. 13 is a schematic interface diagram of a cardiac CDE interface involved in a method for implementing a diagnosis logic based on the design of a structured report sub-template according to a fifth embodiment of the present invention, wherein the examination item is a chest sweep.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example one
FIG. 1 is a schematic diagram of a system for implementing diagnostic logic based on a design of a structured report sub-template according to an embodiment of the present invention; as shown in fig. 1, the system includes: a feature definition module 10, a diagnostic type ranking module 20, a CDE logic recommendation module 30, and a structured report generation module 40, wherein,
a feature definition module 10 connected to the diagnosis type sorting module 20, configured to define all disease types matching with the imaging performance features based on the imaging performance features, configure a CDE (structured report sub-template common data element) set corresponding to the feature description of each diagnosis type under the disease type according to the disease type, where the CDE set includes CDEs of parts of the disease and/or tissues of the disease, CDEs of the imaging performance features, and CDEs of clinical performance features, and store the CDE set corresponding to each diagnosis type separately;
the CDE of the disease part and/or the disease tissue, the CDE of the imaging performance characteristic and the CDE of the clinical performance characteristic are all composed of at least one sub-CDE, and a preset logic relationship exists between every two sub-CDEs; each sub-CDE is represented in a structured form.
The disease site and the disease tissue are coded by using an international knowledge base, wherein the international knowledge base code can be RADLEX code or SNOMED code, so that the anatomic tree structure covers the sub-anatomic site below the disease site, and the disease site and the disease tissue can be defined in a limited or global concept, for example, the definition of the pituitary is limited, and the gray cortex of the brain is a global concept.
The visual representation features may consist of a specific visual representation of a number of specific anatomical regions, which in turn consist of representation features under different image sequences, all encoded using RADLEX and SNOMED.
Clinical performance characteristics, including characteristics of chief complaints, characteristics of physical examinations, characteristics of laboratory examinations and the like, all use SNOMED codes, general characteristics and specific characteristics are distinguished in characteristic attributes in imaging performance characteristics and clinical performance characteristics, specific characteristics are easy to judge a certain disease, general characteristics are difficult to judge a certain disease, and various diseases are all the performances of the characteristics.
For example, a CDE set of lung nodules includes lesion location, imaging performance characteristics (properties), clinical performance characteristics, lesion location in the anterior upper lobe of the left lung, partially solid nodules with a long diameter of 5mm and a volume of 25mm3, and clinical diagnosis of cough, excessive phlegm, affecting sleep diet for 3 months.
The solid nodule is in a confirmed diagnosis state under the condition that the relevant tissues of the lung are normal, otherwise, the solid nodule is suspected. And the related tissues need to be subjected to image discrimination.
A diagnosis type sorting module 20, connected to the feature definition module 10 and the CDE logic recommendation module 30, respectively, and configured to, when a doctor completes filling a CDE set of diagnosis types corresponding to a core lesion, list all disease types matching the core lesion based on relevant data of the CDE set, prioritize diagnosis types associated with the CDE set according to a preset rule, and display the CDE set corresponding to the sequenced diagnosis types at a corresponding position on the structured report interface for the doctor to fill;
in the actual diagnosis process, in the initial stage of diagnosis, mainly clinical diagnosis and subjective preferential judgment of doctors, a CDE set of diagnosis types corresponding to a core lesion (for example, CDE describing the fourth ventricular space occupying lesion includes options such as space occupying size, T1/T2/DCE (whether enhanced, enhanced features, etc.)/DWI (whether diffusion limited), etc.) is selected first to fill in related data, after completion, the diagnosis type sorting module lists all possible disease types matching the core lesion based on the related data of the CDE set, sorts the diagnosis types associated with the CDE set according to a preset rule in a priority manner, displays the CDE set corresponding to the sorted diagnosis types at corresponding positions of a structured report interface, and takes the CDE set corresponding to the sorted diagnosis types as a reference diagnosis template, in fact, is the process of multiple CDE determinations that suspect a disease.
The preset rules may include three factors, such as the current scan sequence, the incidence rate of other image sequences for reference/differential diagnosis, and whether specific features are provided (the CDE sets have specific feature descriptions, and the CDE sets corresponding to the specific features are arranged in front of the CDE sets), the CDE sets corresponding to the sorted diagnosis types may be displayed in the corresponding positions of the structured report interface in a list form, so as to be convenient for the imaging physician to call and use, and the preset rules and the display forms of the CDE sets corresponding to the sorted diagnosis types are set according to medical institutions and medical knowledge, and are not limited herein.
The CDE logic recommendation module 30 is connected to the diagnosis type sorting module 20 and the structured report generation module 40, and is configured to automatically load and display a next sub-CDE for the doctor to fill in based on a preset logic relationship when the doctor completes each sub-CDE under a sorted diagnosis type, and submit all data to the structured report generation module 40 until the last CDE set is filled in;
the imaging department doctor can actively click according to the diagnosis types automatically ordered and prompted by the system, preferentially select a certain diagnosis path, and can also perform image analysis according to a default sequence and following the recommended logic of the system.
And the structured report generation module 40 is connected with the CDE logic recommendation module 30 and is used for sequentially generating natural language for data based on the sequence of filling the sub CDE by the doctor and outputting a final diagnosis conclusion.
Wherein the diagnosis conclusion is also coded with the international knowledge base.
The following is a specific example to illustrate the diagnostic process:
the CDE set related to the image diagnosis of the chest flat scan comprises pulmonary nodules, chest fractures, pleural effusion, hearts, bronchi, thyroid glands, mediastinums, lymph nodes, new crown pneumonia and the like, an imaging doctor selects a CDE set of a diagnosis type corresponding to a core focus to fill according to imaging characteristic expression and clinical characteristic expression, after the completion, the system lists possible related disease types according to related data of the CDE set, carries out priority ranking on the diagnosis types related to the CDE set according to preset rules, and displays the CDE set corresponding to the ranked diagnosis types at corresponding positions of a structural report interface for the doctor to fill.
FIG. 2 is a schematic diagram of a lung nodule CDE interface involved in checking a lung nodule for a chest flat scan in a system implementing diagnostic logic based on a structured report sub-template design according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a bronchial CDE interface involved in checking an item for chest flat scan in a system implementing diagnostic logic based on the design of a structured report sub-template according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an abnormal lymph node CDE interface involved in the inspection of an item as a chest plan in a system for implementing diagnosis logic based on the design of a structured report sub-template according to an embodiment of the present invention;
FIG. 5 is a schematic interface diagram of a cardiac CDE interface involved in checking a program for a chest sweep in a system implementing diagnostic logic based on the design of a structured report sub-template according to an embodiment of the present invention;
as shown in fig. 2-5, the patient's image is a chest sweep, and the clinical diagnosis is "cough, suspected lung nodule",
the imaging department doctor firstly selects a CDE set of a core focus-pulmonary nodule to fill in;
after completion, the system will rank the set of CDEs seen routinely in the chest, lymph nodes, heart;
if the fracture phenomenon is found in the chest, the system automatically loads the CDE set content of the fracture for the imaging doctor to continuously describe the image to see;
if the cervical rib bone is selected as the fracture part, automatically loading a bronchus CDE set to an interface, and continuously performing image-visible description on the bronchus;
if the bronchus is not abnormal, the line description is terminated after the bronchus is described;
if the bronchus is added, the ranking is carried out again, the lymph nodes are described firstly, and then the heart is described;
after all the images are seen, diagnosis is automatically generated, and after the doctor confirms that the image structured report is finished.
The embodiment of the invention is provided with a characteristic definition module, a diagnosis type ordering module, a CDE logic recommendation module and a structured report generation module, wherein the characteristic definition module can configure a CDE set corresponding to the characteristic description of each diagnosis type; when a doctor fills in a CDE set of diagnosis types corresponding to the core focus, a diagnosis type sorting module carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule based on relevant data of the CDE set, and the diagnosis types are filled in by the doctor; when a doctor finishes each sequenced sub-CDE under the diagnosis type, the CDE logic recommendation module automatically loads and displays the next sub-CDE for the doctor to fill in based on a preset logic relation, and all data are submitted to the structured report generation module until the last CDE set is filled in; the structured report generation module generates natural language for data in sequence based on the sequence of filling in the sub-CDE by the doctor and outputs a final diagnosis conclusion; the system embeds the reference diagnosis/differential diagnosis knowledge into the component of the structured report and the dynamic logic of the structured report, so that the profound knowledge which can not be completely remembered by human brains and is not unfamiliar in the professional field of the system and continuously improved can be really used by a front-line doctor, the diagnosis difficulty of the doctor is reduced, the effect of the system is greatly superior to that of other various training means and auxiliary tools, and the system is vital to generally improving the diagnosis capability of the image department of a medical institution, especially the capability of a basic medical institution; meanwhile, the parts of the diseases, the tissues of the diseases, the imaging performance characteristics, the clinical performance characteristics and the diagnosis conclusion related to the structural report generation module related to the characteristic definition module are coded by using an international knowledge base, and unified semantics are used, so that the system has stronger universality.
Example two
FIG. 6 is a schematic diagram of a system implementing diagnostic logic based on a design of a structured report sub-template according to a second embodiment of the invention; as shown in fig. 6, the CDE logic recommendation module 30 further includes a data pushing unit 302, which is respectively connected to the structured report generation module 40 and the clinical module 50, and is configured to, when relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs to be extracted from other image sequences of the current imaging examination, automatically display the required image sequence at a corresponding position of the structured report interface; when the data related to a certain sub-CDE in the CDE with the imaging performance characteristics needs the data related to a new imaging examination, the data of the sub-CDE is automatically output to the structured report generation module 40, a new imaging examination application is generated, and the new imaging examination application is sent to the clinical module 50 for the clinician to confirm the application of the imaging examination application form.
The clinical module is a clinical system which is used for a clinician to make an examination application form for a patient, and the clinical system is mature in each medical institution.
The embodiment of the invention is provided with the data pushing unit, when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs to be extracted from other image sequences of the current imaging examination or new relevant data of the imaging examination, the required image sequence is automatically displayed on the structured report interface or a new imaging examination application is generated and sent to the clinical module, so that the labor intensity of an imaging doctor for searching images is reduced, the clinician can timely make a new imaging examination application form, and the operation of the doctor is facilitated.
EXAMPLE III
FIG. 7 is a schematic diagram of a system implementing diagnostic logic based on a design of a structured report sub-template according to a third embodiment of the present invention; as shown in fig. 7, the CDE logic recommendation module 30 further includes a data query unit 304, which is respectively connected to the structured report generation module 40, the electronic medical record module 60, and the laboratory information module 70, and is configured to automatically generate a query condition when a certain sub-CDE in the CDE with clinical performance characteristics needs to acquire data of a relevant physical subject or data related to a laboratory, extract data of the relevant physical subject from the electronic medical record module, extract data related to the laboratory from the laboratory information module, and send the extracted data of the relevant physical subject and the extracted data related to the laboratory to the structured report generation module 40.
The electronic medical record module 60 is an EMR (electronic medical record) system, the laboratory information module 70 is an LIS (laboratory information management) system, and the extracted data of the relevant physical examination and the extracted data of the laboratory are automatically displayed in the corresponding control of the currently filled sub-CDE structured interface.
The embodiment of the invention is provided with the data query unit, when a certain sub-CDE in the CDE with clinical performance characteristics needs to acquire data of related physical exams or data related to laboratories, query conditions are automatically generated, the data of the related physical exams are extracted from the electronic medical record module, the data related to the laboratories are extracted from the laboratory information module, and the extracted data of the related physical exams and the extracted data related to the laboratories are sent to the structural report generation module.
Example four
FIG. 8 is a diagram illustrating a system architecture for implementing diagnostic logic based on a design of a structured report sub-template, according to a fourth embodiment of the present invention; as shown in fig. 8, the CDE logic recommendation module 30 further includes an information prompt unit 306, connected to the data query unit 304, for automatically generating a prompt message to display to a corresponding location of the structured report interface when the data of the relevant physical record is not in the electronic medical record module or the data of the relevant laboratory is not in the laboratory information module.
The embodiment of the invention is provided with the information prompting unit, when the data of the relevant physical examination is not in the electronic medical record module or the relevant data of the laboratory is not in the laboratory information module, the prompting information is automatically generated and displayed at the corresponding position of the structured report interface, so that an imaging doctor can be prompted to manually consult a clinician, or the relevant data of the secondary inquiry is timely supplemented in the electronic medical record module (EMR), and the system is more humanized.
EXAMPLE five
FIG. 9 illustrates a flowchart of a method for implementing diagnostic logic based on a design of a structured report sub-template, in accordance with an embodiment of the present invention; as shown in fig. 9, the method includes the steps of:
step S501, the feature definition module defines all disease types matched with the imaging performance features based on the imaging performance features, configures a CDE (structured report sub-template common data element) set corresponding to the feature description of each diagnosis type under the disease type according to the disease type, wherein the CDE set comprises CDE of the disease part and/or the disease tissue, CDE of the imaging performance features and CDE of the clinical performance features, and stores the CDE set corresponding to each diagnosis type separately;
the CDE of the disease part and/or the disease tissue, the CDE of the imaging performance characteristic and the CDE of the clinical performance characteristic are all composed of at least one sub-CDE, and a preset logic relationship exists between every two sub-CDEs; each sub-CDE is represented in a structured form.
The disease site and the disease tissue are coded by using an international knowledge base, wherein the international knowledge base code can be RADLEX code or SNOMED code, so that the anatomic tree structure covers the sub-anatomic site below the disease site, and the disease site and the disease tissue can be defined in a limited or global concept, for example, the definition of the pituitary is limited, and the gray cortex of the brain is a global concept.
The visual representation features may consist of a specific visual representation of a number of specific anatomical regions, which in turn consist of representation features under different image sequences, all encoded using RADLEX and SNOMED.
Clinical performance characteristics, including characteristics of chief complaints, characteristics of physical examinations, characteristics of laboratory examinations and the like, all use SNOMED codes, general characteristics and specific characteristics are distinguished in characteristic attributes in imaging performance characteristics and clinical performance characteristics, specific characteristics are easy to judge a certain disease, general characteristics are difficult to judge a certain disease, and various diseases are all the performances of the characteristics.
For example, a CDE set of lung nodules includes lesion location, imaging performance characteristics (properties), clinical performance characteristics, lesion location in the anterior upper lobe of the left lung, partially solid nodules with a long diameter of 5mm and a volume of 25mm3, and clinical diagnosis of cough, excessive phlegm, affecting sleep diet for 3 months.
The solid nodule is in a confirmed diagnosis state under the condition that the relevant tissues of the lung are normal, otherwise, the solid nodule is suspected. And the related tissues need to be subjected to image discrimination.
Step S502, when the doctor fills in the CDE set of the diagnosis type corresponding to the core focus, the diagnosis type sorting module lists all the disease types matched with the core focus based on the relevant data of the CDE set, carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule, and displays the CDE set corresponding to the sorted diagnosis type at the corresponding position of the structured report interface for the doctor to fill in;
in the actual diagnosis process, in the initial stage of diagnosis, mainly clinical diagnosis and subjective preferential judgment of doctors, a CDE set of diagnosis types corresponding to a core lesion (for example, CDE describing the fourth ventricular space occupying lesion includes options such as space occupying size, T1/T2/DCE (whether enhanced, enhanced features, etc.)/DWI (whether diffusion limited), etc.) is selected first to fill in related data, after completion, the diagnosis type sorting module lists all possible disease types matching the core lesion based on the related data of the CDE set, sorts the diagnosis types associated with the CDE set according to a preset rule in a priority manner, displays the CDE set corresponding to the sorted diagnosis types at corresponding positions of a structured report interface, and takes the CDE set corresponding to the sorted diagnosis types as a reference diagnosis template, in fact, is the process of multiple CDE determinations that suspect a disease.
The preset rules may include three factors, such as the current scan sequence, the incidence rate of other image sequences for reference/differential diagnosis, and whether specific features are provided (the CDE sets have specific feature descriptions, and the CDE sets corresponding to the specific features are arranged in front of the CDE sets), the CDE sets corresponding to the sorted diagnosis types may be displayed in the corresponding positions of the structured report interface in a list form, so as to be convenient for the imaging physician to call and use, and the preset rules and the display forms of the CDE sets corresponding to the sorted diagnosis types are set according to medical institutions and medical knowledge, and are not limited herein.
Step S503, when the doctor finishes each sequenced sub CDE under the diagnosis type, the CDE logic recommendation module automatically loads and displays the next sub CDE for the doctor to fill in based on the preset logic relation, and submits all the data to the structured report generation module until the last CDE set is filled in;
the imaging department doctor can actively click according to the diagnosis types automatically ordered and prompted by the system, preferentially select a certain diagnosis path, and can also perform image analysis according to a default sequence and following the recommended logic of the system.
And step S504, the structured report generation module generates natural language for the data in sequence based on the sequence of filling the sub CDE by the doctor and outputs the final diagnosis conclusion.
Wherein the diagnosis conclusion is also coded with the international knowledge base.
The following is a specific example to illustrate the diagnostic process:
the CDE set related to the image diagnosis of the chest flat scan comprises pulmonary nodules, chest fractures, pleural effusion, hearts, bronchi, thyroid glands, mediastinums, lymph nodes, new crown pneumonia and the like, an imaging doctor selects a CDE set of a diagnosis type corresponding to a core focus to fill according to imaging characteristic expression and clinical characteristic expression, after the completion, the system lists possible related disease types according to related data of the CDE set, carries out priority ranking on the diagnosis types related to the CDE set according to preset rules, and displays the CDE set corresponding to the ranked diagnosis types at corresponding positions of a structural report interface for the doctor to fill.
FIG. 10 is a CDE interface diagram of lung nodules related to a chest sweep as an examination item in a method for implementing diagnostic logic based on the design of a structured report sub-template according to a fifth embodiment of the present invention;
FIG. 11 is a schematic diagram of a bronchial CDE interface involved in a method for implementing diagnostic logic based on the design of a structured report sub-template, wherein an inspection item is chest scan, according to a fifth embodiment of the present invention;
FIG. 12 is a schematic diagram of the CDE interface of the abnormal lymph nodes involved in the inspection item of the chest flat scan in the method for implementing the diagnosis logic based on the design of the structured report sub-template according to the fifth embodiment of the present invention;
FIG. 13 is a schematic interface diagram of a cardiac CDE interface involved in the diagnosis logic implementation method based on the structural report sub-template design according to the fifth embodiment of the present invention, wherein the examination item is a chest sweep;
as shown in fig. 10-13, the patient's image is a chest sweep, and the clinical diagnosis is "cough, suspected lung nodule",
the imaging department doctor firstly selects a CDE set of a core focus-pulmonary nodule to fill in;
after completion, the system will rank the set of CDEs seen routinely in the chest, lymph nodes, heart;
if the fracture phenomenon is found in the chest, the system automatically loads the CDE set content of the fracture for the imaging doctor to continuously describe the image to see;
if the cervical rib bone is selected as the fracture part, automatically loading a bronchus CDE set to an interface, and continuously performing image-visible description on the bronchus;
if the bronchus is not abnormal, the line description is terminated after the bronchus is described;
if the bronchus is added, the ranking is carried out again, the lymph nodes are described firstly, and then the heart is described;
after all the images are seen, diagnosis is automatically generated, and after the doctor confirms that the image structured report is finished.
When the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs to be extracted from other image sequences of the current imaging examination, the method further comprises the following steps: a data pushing unit in the CDE logic recommending module automatically displays the required image sequence at the corresponding position of the structured report interface; when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs new relevant data of imaging examination, the data of the sub-CDE is automatically output to the structural report generation module, a new imaging examination application is generated, and the new imaging examination application is sent to the clinical module for the clinician to confirm to make an imaging examination application form.
The clinical module is a clinical system which is used for a clinician to make an examination application form for a patient, and the clinical system is mature in each medical institution.
Wherein, when a certain sub-CDE in the CDE of the clinical performance characteristics needs to acquire data of the relevant physical examination body or relevant data of a laboratory, the method further comprises the following steps: a data query unit in the CDE logic recommendation module automatically generates query conditions, extracts data of relevant physical exams from the electronic medical record module, extracts relevant laboratory data from the laboratory information module, and sends the extracted data of the relevant physical exams and the extracted relevant laboratory data to the structured report generation module.
The electronic medical record module 60 is an EMR (electronic medical record) system, the laboratory information module 70 is an LIS (laboratory information management) system, and the extracted data of the relevant physical examination and the extracted data of the laboratory are automatically displayed in the corresponding control of the currently filled sub-CDE structured interface.
Wherein when the data of the relevant physical examination is not in the electronic medical record module or the relevant laboratory data is not in the laboratory information module, the method further comprises: the CDE logic recommendation module also comprises an information prompt unit for automatically generating prompt information and displaying the prompt information to a corresponding position of the structured report interface.
The characteristic definition module can configure a CDE set corresponding to the characteristic description of each diagnosis type; when a doctor fills in a CDE set of diagnosis types corresponding to the core focus, a diagnosis type sorting module carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule based on relevant data of the CDE set, and the diagnosis types are filled in by the doctor; when a doctor finishes each sequenced sub-CDE under the diagnosis type, the CDE logic recommendation module automatically loads and displays the next sub-CDE for the doctor to fill in based on a preset logic relation, and all data are submitted to the structured report generation module until the last CDE set is filled in; the structured report generation module generates natural language for data in sequence based on the sequence of filling in the sub-CDE by the doctor and outputs a final diagnosis conclusion; the system embeds the reference diagnosis/differential diagnosis knowledge into the component of the structured report and the dynamic logic of the structured report, so that the profound knowledge which can not be completely remembered by human brains and is not unfamiliar in the professional field of the system and continuously improved can be really used by a front-line doctor, the diagnosis difficulty of the doctor is reduced, the effect of the system is greatly superior to that of other various training means and auxiliary tools, and the system is vital to generally improving the diagnosis capability of the image department of a medical institution, especially the capability of a basic medical institution; because the data pushing unit is arranged, when the relevant data of a certain sub-CDE in the CDE with the iconography representation characteristics needs to be extracted from other image sequences of the current iconography or the relevant data of new iconography, the needed image sequences are automatically displayed on the structured report interface or a new application for the iconography is generated and sent to the clinical module, so that the labor intensity of an iconographist for searching images is reduced, the clinician can timely make a new application form for the iconography, and the operation of the clinician is facilitated; the data query unit in the embodiment of the invention automatically generates query conditions when a certain sub-CDE in the CDE with clinical performance characteristics needs to acquire data of related physical examination bodies or data related to a laboratory, extracts the data of the related physical examination bodies from the electronic medical record module, extracts the data related to the laboratory from the laboratory information module, and sends the extracted data of the related physical examination bodies and the extracted data related to the laboratory to the structural report generation module; when the data of the relevant physical examination is not in the electronic medical record module or the relevant laboratory data is not in the laboratory information module, the information prompting unit automatically generates prompting information and displays the prompting information to the corresponding position of the structured report interface, so that an imaging doctor can be prompted to manually consult a clinician, or the relevant data of secondary inquiry is timely supplemented in the electronic medical record module (EMR), and the system is more humanized; the parts of diseases, the tissues of the diseases, the iconography expression characteristics, the clinical expression characteristics and the diagnosis conclusion related to the structured report generation module related to the characteristic definition module in the embodiment of the invention are coded by using an international knowledge base, and unified semantics is used, so that the system has stronger universality.
From the above description, it can be seen that the above-described embodiments of the present invention achieve the following technical effects: the embodiment of the invention is provided with a characteristic definition module, a diagnosis type ordering module, a CDE logic recommendation module and a structured report generation module, wherein the characteristic definition module can configure a CDE set corresponding to the characteristic description of each diagnosis type; when a doctor fills in a CDE set of diagnosis types corresponding to the core focus, a diagnosis type sorting module carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule based on relevant data of the CDE set, and the diagnosis types are filled in by the doctor; when a doctor finishes each sequenced sub-CDE under the diagnosis type, the CDE logic recommendation module automatically loads and displays the next sub-CDE for the doctor to fill in based on a preset logic relation, and all data are submitted to the structured report generation module until the last CDE set is filled in; the structured report generation module generates natural language for data in sequence based on the sequence of filling in the sub-CDE by the doctor and outputs a final diagnosis conclusion; the system embeds the reference diagnosis/differential diagnosis knowledge into the component of the structured report and the dynamic logic of the structured report, so that the profound knowledge which can not be completely remembered by human brains and is not unfamiliar in the professional field of the system and continuously improved can be really used by a front-line doctor, the diagnosis difficulty of the doctor is reduced, the effect of the system is greatly superior to that of other various training means and auxiliary tools, and the system is vital to generally improving the diagnosis capability of the image department of a medical institution, especially the capability of a basic medical institution; the embodiment of the invention is provided with the data pushing unit, when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs to be extracted from other image sequences of the current imaging examination or the relevant data of a new imaging examination, the required image sequence is automatically displayed on a structured report interface or a new imaging examination application is generated and sent to the clinical module, so that the labor intensity of an imaging doctor for searching images is reduced, the clinician can timely make a new imaging examination application form, and the doctor operation is facilitated; the embodiment of the invention is provided with the data query unit, when a certain sub-CDE in the CDE with clinical performance characteristics needs to acquire data of related physical examination bodies or data related to a laboratory, query conditions are automatically generated, the data of the related physical examination bodies are extracted from the electronic medical record module, the data related to the laboratory are extracted from the laboratory information module, and the extracted data of the related physical examination bodies and the extracted data related to the laboratory are sent to the structural report generation module; the embodiment of the invention is provided with the information prompting unit, when the data of the relevant physical examination is not in the electronic medical record module or the relevant data of the laboratory is not in the laboratory information module, the prompting information is automatically generated and displayed at the corresponding position of the structured report interface, so that an imaging doctor can be prompted to manually consult a clinician, or the relevant data of the secondary inquiry is timely supplemented in the electronic medical record module (EMR), and the system is more humanized; the parts of diseases, the tissues of the diseases, the imaging performance characteristics, the clinical performance characteristics and the diagnosis conclusion related to the structural report generation module in the embodiment of the invention are coded by using an international knowledge base, and unified semantics is used, so that the system has stronger universality.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A system for realizing diagnosis logic based on the design of a structured report sub-template is characterized by comprising a feature definition module, a diagnosis type sorting module, a CDE logic recommendation module and a structured report generation module, wherein,
the characteristic defining module is connected with the diagnosis type sorting module and is used for defining all disease types matched with the imaging performance characteristics based on the imaging performance characteristics, configuring a CDE (structured report sub-template common data element) set corresponding to the characteristic description of each diagnosis type under the disease type according to the disease type, wherein the CDE set comprises CDE of parts of the disease and/or tissues of the disease, CDE of the imaging performance characteristics and CDE of clinical performance characteristics, and storing the CDE set corresponding to each diagnosis type separately; wherein the CDE of the disease part and/or disease tissue, the CDE of the imaging performance characteristic and the CDE of the clinical performance characteristic are all composed of at least one sub-CDE, and a preset logic relationship exists between each sub-CDE;
the diagnosis type sorting module is respectively connected with the characteristic definition module and the CDE logic recommendation module, and is used for listing all the disease types matched with the core focus based on the relevant data of the CDE set when a doctor fills in the CDE set of the diagnosis type corresponding to the core focus, carrying out priority sorting on the diagnosis types associated with the CDE set according to a preset rule, and displaying the CDE set corresponding to the sorted diagnosis types at the corresponding positions of a structured report interface for the doctor to fill in;
the CDE logic recommending module is respectively connected with the diagnosis type sorting module and the structured report generating module, and is used for automatically loading and displaying the next sub-CDE for the doctor to fill in based on the preset logic relation when the doctor finishes each sub-CDE under the sorted diagnosis type, and submitting all data to the structured report generating module until the last CDE set is filled in;
and the structured report generation module is connected with the CDE logic recommendation module and used for sequentially generating natural language for the data based on the sequence of filling the sub-CDE by a doctor and outputting a final diagnosis conclusion.
2. The system for implementing diagnostic logic based on the design of the structured report sub-template as claimed in claim 1, wherein the CDE logic recommendation module further comprises a data pushing unit, respectively connected to the structured report generation module and the clinical module, for automatically displaying the required image sequence at the corresponding position of the structured report interface when the relevant data of a certain sub-CDE in the CDE of the iconographic representation feature needs to be extracted from other image sequences of the current iconographic examination; when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs new relevant data of imaging examination, the data of the sub-CDE is automatically output to the structural report generation module, a new imaging examination application is generated, and the new imaging examination application is sent to the clinical module for a clinician to confirm to issue an imaging examination application form.
3. The system for implementing diagnosis logic based on the design of the structured report sub-template as claimed in claim 1, wherein the CDE logic recommendation module further comprises a data query unit respectively connected to the structured report generation module, the electronic medical record module and the laboratory information module, and configured to automatically generate a query condition when a certain sub-CDE in the CDE of the clinical performance characteristics needs to obtain data of a relevant physical subject or data of a laboratory, extract the data of the relevant physical subject from the electronic medical record module, extract the data of the laboratory from the laboratory information module, and send the extracted data of the relevant physical subject and the extracted data of the laboratory to the structured report generation module.
4. The system for implementing diagnostic logic based on the design of a structured report sub-template as claimed in claim 3, wherein the CDE logic recommendation module further comprises an information prompting unit connected to the data query unit for automatically generating a prompting message to display to a corresponding location of the structured report interface when the data of the relevant physical charting is not in the electronic medical record module or the data of the relevant laboratory is not in the laboratory information module.
5. The system for implementing diagnostic logic based on the design of structured report submodel of claim 1, wherein the location of the disease, the organization of the disease, the iconographic features, the clinical features, and the diagnostic conclusions are encoded using an international knowledge base.
6. A method for implementing diagnostic logic based on a design of a structured report sub-template, the method comprising:
the characteristic definition module defines all disease types matched with the imaging performance characteristics based on the imaging performance characteristics, configures a CDE (structured report sub-template common data element) set corresponding to the characteristic description of each diagnosis type under the disease type according to the disease type, wherein the CDE set comprises CDE of parts of the disease and/or tissues of the disease, CDE of the imaging performance characteristics and CDE of clinical performance characteristics, and stores the CDE set corresponding to each diagnosis type separately; wherein the CDE of the disease part and/or disease tissue, the CDE of the imaging performance characteristic and the CDE of the clinical performance characteristic are all composed of at least one sub-CDE, and a preset logic relationship exists between each sub-CDE;
when a doctor fills in the CDE set of the diagnosis type corresponding to the core focus, the diagnosis type sorting module lists all the disease types matched with the core focus based on the relevant data of the CDE set, carries out priority sorting on the diagnosis types associated with the CDE set according to a preset rule, and displays the CDE set corresponding to the sorted diagnosis types at the corresponding position of a structured report interface for the doctor to fill in;
when a doctor finishes each sequenced sub CDE under the diagnosis type, the CDE logic recommendation module automatically loads and displays the next sub CDE for the doctor to fill in based on the preset logic relation, and all data are submitted to the structured report generation module until the last CDE set is filled in;
and the structured report generation module generates natural language for the data in sequence based on the sequence of the sub-CDE filled by the doctor and outputs a final diagnosis conclusion.
7. The method of claim 6, wherein when data associated with a sub-CDE in the CDE of the iconographic features needs to be extracted from other image sequences of a current iconographic examination, the method further comprises: a data pushing unit in the CDE logic recommending module automatically displays the required image sequence at a corresponding position of the structured report interface; when the relevant data of a certain sub-CDE in the CDE with the imaging performance characteristics needs new relevant data of imaging examination, the data of the sub-CDE is automatically output to the structural report generation module, a new imaging examination application is generated, and the new imaging examination application is sent to the clinical module for the clinician to confirm the application of the imaging examination application.
8. The method for implementing diagnostic logic based on the structured report sub-template design of claim 6, wherein when a certain sub-CDE of the CDEs of the clinical performance characteristics needs to obtain data of the relevant physical charlie or laboratory related data, the method further comprises: and a data query unit in the CDE logic recommendation module automatically generates query conditions, extracts the data of the relevant physical examination from an electronic medical record module, extracts the relevant laboratory data from a laboratory information module, and sends the extracted data of the relevant physical examination and the relevant laboratory data to the structured report generation module.
9. The method of implementing diagnostic logic based on a structured report sub-template design of claim 8, wherein when the data of the relevant physical chargebody is not in the electronic medical record module or the laboratory related data is not in the laboratory information module, the method further comprises: and an information prompt unit in the CDE logic recommendation module automatically generates prompt information and displays the prompt information to a corresponding position of the structured report interface.
10. The method of implementing diagnostic logic based on a structured report sub-template design of claim 6, further comprising: the location of the disease, the tissue of the disease, the imaging performance characteristics, the clinical performance characteristics, and the diagnostic conclusion are all encoded using the international knowledge base.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011391510.8A CN112562818B (en) | 2020-12-02 | 2020-12-02 | System and method for designing and realizing diagnosis logic based on structured report sub-template |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011391510.8A CN112562818B (en) | 2020-12-02 | 2020-12-02 | System and method for designing and realizing diagnosis logic based on structured report sub-template |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112562818A true CN112562818A (en) | 2021-03-26 |
| CN112562818B CN112562818B (en) | 2022-06-24 |
Family
ID=75048116
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011391510.8A Active CN112562818B (en) | 2020-12-02 | 2020-12-02 | System and method for designing and realizing diagnosis logic based on structured report sub-template |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112562818B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113053487A (en) * | 2021-04-22 | 2021-06-29 | 薛蕴菁 | Method and device for automatically giving diagnosis suggestions based on structured report historical data |
| CN113760953A (en) * | 2021-08-11 | 2021-12-07 | 浙江卡易智慧医疗科技有限公司 | Image abdominal aorta and its affiliated structured report analysis system and method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069124A (en) * | 2015-08-13 | 2015-11-18 | 易保互联医疗信息科技（北京）有限公司 | Automatic ICD (International Classification of Diseases) coding method and system |
| US20190156927A1 (en) * | 2017-11-17 | 2019-05-23 | Virkar Hemant V | Systems and methods for managing clinical research |
| CN110931096A (en) * | 2018-09-19 | 2020-03-27 | 北京赛迈特锐医疗科技有限公司 | System and method for automatically generating image structured report template |
| CN111723277A (en) * | 2019-03-19 | 2020-09-29 | 北京赛迈特锐医疗科技有限公司 | Image structured report cloud requirement classification system and method thereof |
-
2020
- 2020-12-02 CN CN202011391510.8A patent/CN112562818B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069124A (en) * | 2015-08-13 | 2015-11-18 | 易保互联医疗信息科技（北京）有限公司 | Automatic ICD (International Classification of Diseases) coding method and system |
| US20190156927A1 (en) * | 2017-11-17 | 2019-05-23 | Virkar Hemant V | Systems and methods for managing clinical research |
| CN110931096A (en) * | 2018-09-19 | 2020-03-27 | 北京赛迈特锐医疗科技有限公司 | System and method for automatically generating image structured report template |
| CN111723277A (en) * | 2019-03-19 | 2020-09-29 | 北京赛迈特锐医疗科技有限公司 | Image structured report cloud requirement classification system and method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 孙碧云等: "基于XML技术的超声报告规范化研究及应用", 《中国超声医学杂志》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113053487A (en) * | 2021-04-22 | 2021-06-29 | 薛蕴菁 | Method and device for automatically giving diagnosis suggestions based on structured report historical data |
| CN113760953A (en) * | 2021-08-11 | 2021-12-07 | 浙江卡易智慧医疗科技有限公司 | Image abdominal aorta and its affiliated structured report analysis system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112562818B (en) | 2022-06-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9037988B2 (en) | User interface for providing clinical applications and associated data sets based on image data | |
| US7979383B2 (en) | Atlas reporting | |
| JP7201404B2 (en) | MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGE PROCESSING METHOD, AND PROGRAM | |
| RU2451335C2 (en) | Image- and context-dependent anatomic applications for effective diagnostics | |
| DE102007050184B4 (en) | Integrated solution for diagnostic reading and reporting | |
| RU2459244C2 (en) | Clinician-driven example-based computer-aided diagnosis | |
| CN105074708A (en) | A context driven summary view of radiology findings | |
| CN112562818B (en) | System and method for designing and realizing diagnosis logic based on structured report sub-template | |
| CN107750383B (en) | Apparatus, system, and method for displaying a timeline of semantic classifications | |
| EP2229644A1 (en) | Method and apparatus for refining similar case search | |
| CN103460213A (en) | Image acquisition and/or image related parameter recommender | |
| US20100119131A1 (en) | Expert system and method with registry for interpreting advanced visualization images | |
| US20230186465A1 (en) | Enhancing medical imaging workflows using artificial intelligence | |
| WO2013189780A1 (en) | System and method for generating textual report content using macros | |
| US11139068B2 (en) | Methods, systems, and computer readable media for smart image protocoling | |
| US20160321402A1 (en) | Data-Enriched Electronic Healthcare Guidelines For Analytics, Visualization Or Clinical Decision Support | |
| RU2626898C2 (en) | Identification of medical concepts for selection of visualization protocol | |
| US20040181431A1 (en) | Device for generating standardized medical findings | |
| WO2017089564A1 (en) | Content-driven problem list ranking in electronic medical records | |
| US20220399107A1 (en) | Automated protocoling in medical imaging systems | |
| US20130346891A1 (en) | Method and system for visualization of medical imaging data | |
| US20180032556A1 (en) | Preprocessing image data based on scan protocols | |
| US20200335201A1 (en) | Method for setting a medical imaging protocol, system for setting a medical instrument, computer program and computer-readable medium | |
| US20200043583A1 (en) | System and method for workflow-sensitive structured finding object (sfo) recommendation for clinical care continuum | |
| RU2723075C2 (en) | Determining sequence of radiological images for optimum throughput of readings |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |