CN112712869A - System and method for dynamically acquiring follow-up data from historical image structured report - Google Patents
System and method for dynamically acquiring follow-up data from historical image structured report Download PDFInfo
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Abstract
The invention provides a system for dynamically acquiring follow-up data from a historical image structured report, which comprises a historical report extraction module, a follow-up image examination module and a follow-up image examination module, wherein the historical report extraction module is used for extracting all historical image structured reports which are the same as examination items and examination purposes of follow-up image examination when a doctor opens a follow-up image examination structured report interface of a patient; the historical report display module displays the historical image structured report in a list form; the follow-up data extraction module is used for automatically extracting and loading the historical data under a description attribute to a corresponding position of the follow-up image structured report when a doctor opens the historical image structured report and double-clicks the description attribute according to requirements; and the follow-up report generation module automatically generates a follow-up image structured report. The invention also discloses a method for dynamically acquiring follow-up visit data from the historical image structured report. The invention can automatically load historical data into the follow-up report and carry out comparative analysis, thereby improving the report writing efficiency of doctors and reducing the requirement on the memory of doctors.
Description
Technical Field
The invention relates to the field of medical information, in particular to a system and a method for dynamically acquiring follow-up data from a historical image structured report.
Background
Imaging follow-up examination is a very common method for dynamically assessing the progress or efficacy of a disease. Follow-up imaging reports require reference to the site, the report content prior to the diagnosis. The diagnostician needs to read the image of the examination, refer to the imaging performance and diagnosis conclusion of the previous examination before diagnosis, and then conceive the imaging performance and diagnosis conclusion of the current examination. Under the background of using the traditional text report, because the normalization of the description of the natural language report is poor, the extraction of the information of the past report is compared with the current image expression, which is a work that particularly needs responsibility, patience and care and takes a lot of time. Many times doctors have to give up the comparison because of heavy traffic.
Even if the former report uses a structured report mode, the later comparison is not easy. Because the imaging performance of each examination will vary, it may be due to progressive definition of the target organ, target lesion, or a constant change in the target organ, target lesion as the disease/treatment progresses. The target of continuous contrast observation can be a group of objects which are constantly changing or a single object; some objects may disappear or new objects of view may appear. It is difficult to use a fixed template for contextual comparisons for a disease.
Some advanced image post-processing systems provide partial pre-and post-lesion contrast, and such systems have definite limitations. Firstly, the types of lesions which can be compared with the built-in comparison method are less, and the wide clinical business requirements can not be met; secondly, the comparison result is a picture, which cannot be stored as a label and is difficult to be used for subsequent scientific research and analysis; thirdly, the images which need to be checked all together are pushed to the system by the system for comparison, and the patient information must be completely consistent, so the use condition is harsh, and the system is not easy to realize in actual business; fourth, such image post-processing systems are also particularly expensive and difficult to use universally.
In summary, there is no imaging follow-up report comparison method with convenient use and flexible functions, so that diagnosticians have to give up writing a tabular report of comparison before and after writing because of heavy business and too many business details to be memorized, which is very disadvantageous for clinical evaluation of treatment schemes and disease progress.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a system and a method for dynamically obtaining follow-up data from a historical image structured report, which can solve the problems in the prior art that the follow-up report writing efficiency is low, the memory requirement of a doctor is increased, and the pre-and-post-lesion comparison result cannot be automatically obtained due to the inability of comparing with the historical 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 dynamically acquiring follow-up data from a historical image structured report, which comprises a historical report extraction module, a historical report display module, a follow-up data extraction module and a follow-up report generation module, wherein the historical report extraction module is connected with the historical report display module and is used for extracting all historical image structured reports which are the same as the examination items and the examination purposes of follow-up image examination and sending the historical image structured reports to the historical report display module based on preset conditions when a doctor opens a follow-up image examination structured report interface of a patient; the historical report display module is respectively connected with the historical report extraction module and the follow-up data extraction module and is used for displaying the historical image structured report at a corresponding position of a follow-up image examination structured report interface in a form of a list for a doctor to select; the follow-up data extraction module is respectively connected with the historical report display module and the follow-up report generation module and is used for automatically extracting the historical data under a description attribute when a doctor opens one of the historical image structured reports and double-clicks the description attribute according to the requirement, and loading the historical data serving as follow-up data to the corresponding position of the follow-up image structured report; and the follow-up report generation module is connected with the follow-up data extraction module and is used for automatically generating a follow-up image structured report and outputting a diagnosis result based on each follow-up data filled by a doctor.
Preferably, the system further comprises a comparison display module, which is respectively connected with the historical report display module and the follow-up report generation module, and is used for marking one of the historical image structured reports and clicking a certain historical data to be compared, and then automatically comparing the marked historical data with the follow-up data corresponding to the historical data in the follow-up image structured report, when the follow-up data is the same as the historical data, displaying the follow-up data in the follow-up image structured report by using the same mark, and when the follow-up data is different from the historical data, displaying the follow-up data in the follow-up image structured report by using different marks.
Preferably, the follow-up data extraction module further comprises a matching unit, which is used for automatically matching the historical data under the description attribute in the historical image structured report and automatically loading the historical data under the description attribute to the corresponding position in the follow-up image structured report when the doctor selects certain description attribute in the follow-up image structured report.
Preferably, the follow-up report generation module further comprises a diagnosis result evaluation unit, which is used for comparing the follow-up data with the historical data, automatically generating an evaluation result based on a preset logic rule, and displaying the evaluation result on the follow-up image structured report interface.
In another aspect, the present invention further provides a method for dynamically acquiring follow-up data from a historical image structured report, including: when a doctor opens a follow-up image examination structured report interface of a patient, the historical report extraction module extracts all historical image structured reports which are the same as examination items and examination purposes of follow-up image examination based on preset conditions, and sends the historical image structured reports to the historical report display module; the historical report display module displays the historical image structured report at a corresponding position of a follow-up image examination structured report interface in a form of a list for a doctor to select; when a doctor opens one of the historical image structured reports and double clicks a certain description attribute according to requirements, the follow-up data extraction module automatically extracts the historical data under the description attribute, and the historical data is loaded to the corresponding position of the follow-up image structured report as follow-up data; and the follow-up report generation module automatically generates a follow-up image structured report and outputs a diagnosis result based on each follow-up data filled by a doctor.
Preferably, the method further comprises: when a doctor opens one of the historical image structured reports and clicks one certain historical data needing to be compared, the comparison display module marks the historical data and then automatically compares the marked historical data with the follow-up data corresponding to the historical data in the follow-up image structured report, when the follow-up data is the same as the historical data, the follow-up data is displayed in the follow-up image structured report by the same mark, and when the follow-up data is different from the historical data, the follow-up data is displayed in the follow-up image structured report by different marks.
Preferably, the method further comprises: when a doctor selects certain description attributes in the follow-up image structured report, the matching unit in the follow-up data extraction module automatically matches the historical data under the description attributes in the historical image structured report, and automatically loads the historical data under the description attributes to corresponding positions in the follow-up image structured report.
Preferably, the method further comprises: and a diagnosis result evaluation unit in the follow-up report generation module compares the follow-up data with the historical data, automatically generates an evaluation result based on a preset logic rule and displays the evaluation result on a follow-up image structured report interface.
The invention has the technical effects that:
1. because the invention is provided with the historical report extraction module, the historical report display module, the follow-up data extraction module and the follow-up report generation module, when a doctor opens the follow-up image structured report interface, the historical image structured reports of the same part and the same examination purpose of the same patient can be extracted for the reference of the doctor reporting, when the doctor opens one of the historical image structured reports and double clicks a certain description attribute according to the requirement, the follow-up data extraction module automatically extracts the historical data under the description attribute, and the historical data is loaded to the corresponding position of the follow-up image structured report as follow-up data; the follow-up report generation module automatically generates a follow-up image structured report and outputs a diagnosis result based on each follow-up data filled by a doctor; the system can simply and manually select historical iconography expression contents and add the historical iconography expression contents into the follow-up image structured report, is simple and convenient to operate, improves the report writing efficiency of doctors, and reduces the requirement on the memory of the doctors;
2. because the contrast display module is arranged, when a doctor opens one of the historical image structured reports and clicks one piece of historical data to be compared, the marked historical data is automatically compared with the follow-up data corresponding to the historical data in the follow-up image structured report, and the changed data of the follow-up data is marked differently so as to remind the doctor of the change of the focus of a patient, thereby greatly reducing the intensity of physical and mental labor required by a front-line doctor to realize a high-quality follow-up report;
3. because the matching unit is arranged, when a doctor selects certain description attributes in the follow-up image structured report, the historical data under the description attributes in the historical image structured report is automatically matched, the historical data under the description attributes are automatically loaded to the corresponding positions in the follow-up image structured report, and the data is automatically added based on labeling, so that the system is more humanized, the doctor can conveniently operate, and the steps that the doctor firstly looks at the examination image and then looks at the historical image expression and then returns to the examination image structured report to fill in are omitted;
4. because the diagnosis result evaluation unit is arranged, the follow-up data and the historical data are compared, the evaluation result is automatically generated and displayed on the follow-up image structured report interface based on the preset logic rule, the clear comparative analysis result can be quickly calculated and generated based on the labeled follow-up comparative data before and after, the image department can greatly improve the clinical diagnosis and treatment service level, and meanwhile, the valuable data are accumulated for future scientific research and analysis, and the diagnosis and treatment system has outstanding social value and economic value.
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 dynamically obtaining follow-up data from a structured report of historical images according to a first embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a first embodiment of the present invention to determine whether the historical image structured report is a structured report code;
fig. 3 is a schematic diagram illustrating a historical image structured report list of the same patient in a system for dynamically acquiring follow-up data from historical image structured reports according to a first embodiment of the present invention;
fig. 4 is a schematic interface diagram illustrating an interface for extracting preset condition settings of a historical image structured report from a system for dynamically acquiring follow-up data from the historical image structured report according to a first embodiment of the present invention;
FIG. 5 is a schematic interface diagram of a historical image structured report extracted from a system for dynamically acquiring follow-up data from a historical image structured report, which is displayed in a list form according to a first embodiment of the present invention;
fig. 6 is a schematic diagram of a historical image structured report interface with a check number of CT00000287 opened by a doctor in a system for dynamically acquiring follow-up data from a historical image structured report according to an embodiment of the present invention;
fig. 7 is a schematic interface diagram illustrating that, in a system for dynamically acquiring follow-up data from a historical image structured report according to an embodiment of the present invention, a doctor double-clicks a "shape" edit box in the historical image structured report and then loads "irregular" data into a corresponding position of the follow-up image structured report;
fig. 8 is a schematic interface diagram illustrating a doctor loads a lesion, i.e., all description attribute values, into a corresponding position of a follow-up image structured report when double-clicking on a lesion list "anterior segment of right lung" in a historical image structured report in a system for dynamically acquiring follow-up data from a historical image structured report according to a first embodiment of the present invention;
fig. 9 is a schematic interface diagram illustrating a doctor double-clicking a focus "size" title bar of a historical image structured report to load all description attribute values of the title bar into a corresponding position of the follow-up image structured report in a system for dynamically acquiring follow-up data from the historical image structured report according to an embodiment of the present invention;
FIG. 10 is a diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a second embodiment of the present invention;
FIG. 11 is a schematic diagram of an interface of a doctor in a system for dynamically acquiring follow-up data from a historical image structured report, wherein the doctor selects "morphology" and "property" in the historical image structured report for comparison and marking according to a second embodiment of the invention;
fig. 12 is a schematic interface diagram illustrating marking after comparing the "morphology" and the "property" of the follow-up image structured report in the system for dynamically acquiring follow-up data from the historical image structured report according to the second embodiment of the present invention;
FIG. 13 is a diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a third embodiment of the present invention;
fig. 14 is an interface diagram illustrating that, in the system for dynamically acquiring follow-up data from a historical image structured report according to the third embodiment of the present invention, when a doctor selects "right lung", "upper lobe" and "front segment" descriptive attributes in the follow-up image structured report, a matching unit automatically displays the matched data in the historical image structured report in a corresponding position;
FIG. 15 is a diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a fourth embodiment of the present invention;
FIG. 16 is a schematic diagram of an evaluation result interface output by a diagnosis result evaluation unit in a system for dynamically acquiring follow-up data from a historical image structured report according to a fourth embodiment of the present invention;
FIG. 17 is a flowchart of a method for dynamically obtaining follow-up data from a historical image structured report according to a fifth embodiment of the present invention;
fig. 18 is a schematic diagram illustrating a fifth embodiment of determining whether a historical image structured report is a structured report code in a method for dynamically acquiring follow-up data from a historical image structured report according to the present invention;
fig. 19 is a schematic diagram illustrating a list of historical image structured reports of the same patient in the method for dynamically acquiring follow-up data from historical image structured reports according to the fifth embodiment of the present invention;
fig. 20 is a schematic interface diagram illustrating extraction of preset condition settings of a historical image structured report in a method for dynamically acquiring follow-up data from a historical image structured report according to a fifth embodiment of the present invention;
FIG. 21 is a schematic interface diagram of a structured report of historical images extracted in the method for dynamically acquiring follow-up data from a structured report of historical images, which is displayed in the form of a list according to the fifth embodiment of the present invention;
fig. 22 is a schematic view of a historical image structured report interface with a check number CT00000287 opened by a doctor in the method for dynamically acquiring follow-up data from a historical image structured report according to the fifth embodiment of the present invention;
fig. 23 is a schematic interface diagram illustrating that, in the fifth method for dynamically acquiring follow-up data from a historical image structured report according to the embodiment of the present invention, a doctor loads "irregular" data into a corresponding position of the follow-up image structured report after double-clicking a "shape" edit box in the historical image structured report;
fig. 24 is a schematic interface diagram illustrating that, when a doctor double-clicks the lesion list "anterior segment of right superior lung" in the historical image structured report, the doctor loads all the description attribute values of the lesion into the corresponding position of the follow-up image structured report according to the fifth embodiment of the present invention;
fig. 25 is a schematic interface diagram illustrating a physician double-clicking a focus "size" title bar of a historical image structured report to load all description attribute values of the title bar into a corresponding position of the follow-up image structured report in the method for dynamically acquiring follow-up data from the historical image structured report according to the fifth embodiment of the present invention;
FIG. 26 is a schematic interface diagram illustrating a physician selecting "morphology" and "property" in a historical image structured report for comparison and labeling in the method for dynamically acquiring follow-up data from the historical image structured report according to the fifth embodiment of the present invention;
fig. 27 is a schematic interface diagram illustrating labeling after comparing the "morphology" and the "property" of the structured report of follow-up image in the method for dynamically acquiring follow-up data from the structured report of historical image according to the fifth embodiment of the present invention;
fig. 28 is an interface diagram illustrating that when the doctor selects the description attributes "right lung", "upper lobe" and "front segment" in the follow-up image structured report, the matching unit automatically displays the matched data in the historical image structured report in the corresponding position according to the fifth embodiment of the present invention;
fig. 29 is a schematic view of an evaluation result interface output by the diagnosis result evaluation unit in the method for dynamically acquiring follow-up data from a historical image structured report according to the fifth embodiment of the present invention.
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 dynamically obtaining follow-up data from a structured report of historical images according to a first embodiment of the present invention; as shown in fig. 1, the system includes: a history report extraction module 10, a history report display module 20, a follow-up data extraction module 30, and a follow-up report generation module 40, wherein,
the historical report extraction module 10 is connected with the historical report display module 20 and is used for extracting all historical image structured reports which are the same as the examination items and the examination purposes of the follow-up image examination based on preset conditions when the doctor opens the follow-up image examination structured report interface of the patient and sending the historical image structured reports to the historical report display module 20;
the system is suitable for being used when an image doctor starts to write an examination report after a patient finishes follow-up imaging examination, and is only suitable for being used under the condition that a historical image report is a structured report, the historical image report is not a structured report, and the system is not suitable for use.
Fig. 2 is a schematic diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a first embodiment of the present invention to determine whether the historical image structured report is a structured report code; as shown in fig. 2, when the doctor opens the follow-up image structured report, the system first determines whether the historical image examination report of the patient is a structured report, and the codes are as follows:
whether the design HISTORY report view V _ RPT _ HISTORY IS a structured report IS judged according to the condition that CASE WHEN db, T _ RPT _ REPORT, F _ STU _ ID IN (SELECT F _ MAIN _ ID FROM T _ SR _ OBJECT _ VALUE _ CHAR) THEN ' IS ' ELSE ' END AS F _ IS _ SR.
Fig. 3 is a schematic diagram illustrating a historical image structured report list of the same patient in a system for dynamically acquiring follow-up data from historical image structured reports according to a first embodiment of the present invention; as shown in fig. 3, the HISTORY report view V _ RPT _ HISTORY includes at least the following: patient name, examination item (F _ STU _ plain), examination purpose (F _ STU _ CHAR406), whether it IS a structured report (F _ IS _ SR), patient number (F _ PAT _ NO).
Fig. 4 is a schematic interface diagram illustrating an interface for extracting preset condition settings of a historical image structured report from a system for dynamically acquiring follow-up data from the historical image structured report according to a first embodiment of the present invention; as shown in fig. 4, the value of the system parameter ID920 is set, and the query condition F _ STU _ plain [ ] defining the history report list; 212 [; ' AND F _ STU _ CHAR406 ═ [; 3083 [; 'AND F _ IS _ SR ═ IS' AND F _ PAT _ NO [; 103 [; 'AND F _ STU _ NO < >' [; 202 [; "ORDER BY F _ STU _ EXAM _ DATE DESC, replace variable in query condition with the relevant value of the current check open in the program [; 212 [; is an inspection item, [; 3083 [; for inspection purposes, [; 103 [; patient number, [; 202 [; and is the inspection number.
The inspection number is not listed in the extraction historical image structured report list.
The historical report display module 20 is respectively connected with the historical report extraction module 10 and the follow-up data extraction module 30, and is used for displaying the historical image structured report at a corresponding position of a follow-up image examination structured report interface in a form of a list for a doctor to select;
FIG. 5 is a schematic interface diagram of a historical image structured report extracted from a system for dynamically acquiring follow-up data from a historical image structured report, which is displayed in a list form according to a first embodiment of the present invention; as shown in fig. 5, based on the preset conditions, the historical examination reports meeting the preset conditions are shown in the list of fig. 5, and the doctor can click on the report, open the corresponding report interface, and view the images. The date and time of examination, examination number, examination item, examination purpose, age, patient number, and status name (whether the initial report or the examination report) are displayed in the list
The follow-up data extraction module 30 is respectively connected with the historical report display module 20 and the follow-up report generation module 40, and is used for automatically extracting the historical data under a description attribute when a doctor opens one of the historical image structured reports and double-clicks the description attribute according to the requirement, and loading the historical data serving as follow-up data to the corresponding position of the follow-up image structured report;
FIG. 6 shows a slave history image structure according to a first embodiment of the present inventionA historical image structured report interface schematic diagram with the checking number of CT00000287 opened by a doctor in a system for dynamically acquiring follow-up visit data in the report is formed; referring to fig. 6, the doctor may select a report in the historical image structured report list, click the "report" button, load the historical image structured report interface (Page title displays the historical image structured report check number), display the check number "CT 00000287" in the upper right corner of fig. 6, and display the structured report related data of the check number after the Page interface is opened. The interface displays the image representation of the patient at the examination of 12/9/2020, for example, the image displays controls corresponding to "other types of lesions" in the anterior segment of the right lung, such as morphology: irregularity; the properties are solidity, the size is 1mm multiplied by 2mm multiplied by 3mm, the three-dimensional radial line and the volume is 6mm3。
The contents to be compared are selected from the historical image report, and can be selected from three levels: 1. the minimum unit can be the CDE (common Data element) description attribute of a certain focus; 2. a single lesion (and its CDE of all attributes) may be selected, or multiple homogeneous lesions; 3. a structured report independent Section (Section) may contain a variety of different types of lesions. And the selected structural part containing the semantic information and the information of the historical focus is loaded into a follow-up report and used as the follow-up report to generate the same type of CDE attributes so as to fill in comparison.
Fig. 7 is a schematic interface diagram illustrating that, in a system for dynamically acquiring follow-up data from a historical image structured report according to an embodiment of the present invention, a doctor double-clicks a "shape" edit box in the historical image structured report and then loads "irregular" data into a corresponding position of the follow-up image structured report; as shown in fig. 7, this diagram is a minimum unit CDE for loading the history data, the upper right corner of fig. 7 shows "content" to represent that this interface is the current follow-up image examination structured report interface, when the doctor double-clicks the "shape" description attribute, the value "irregularity" is loaded into the current follow-up report, and then the doctor needs to modify according to the follow-up examination image, and then modifies the image data on the current interface.
Fig. 8 is a schematic interface diagram illustrating a doctor loads a lesion, i.e., all description attribute values, into a corresponding position of a follow-up image structured report when double-clicking on a lesion list "anterior segment of right lung" in a historical image structured report in a system for dynamically acquiring follow-up data from a historical image structured report according to a first embodiment of the present invention; as shown in fig. 8, a single lesion and a CDE of all its attributes are selected, the doctor double clicks the "anterior segment of the upper lobe of the right lung" in the historical report lesion list, loads the lesion and all the historical data describing the attributes into the current follow-up report, selects the "right lung", "upper lobe" and "anterior segment" in the current report interface, and selects "other types of lesions", for example, data corresponding to the description attributes related to morphology, properties and size are also loaded into the current follow-up report.
Fig. 9 is a schematic interface diagram illustrating a doctor double-clicking a focus "size" title bar of a historical image structured report to load all description attribute values of the title bar into a corresponding position of the follow-up image structured report in a system for dynamically acquiring follow-up data from the historical image structured report according to an embodiment of the present invention; referring to the description attribute under Section, the physician double-clicks the focus "size" title bar in the history report, and loads all the description attribute values of the title bar into the current follow-up report, as shown in fig. 9.
And the follow-up report generating module 40 is connected with the follow-up data extracting module 30 and is used for automatically generating a follow-up image structured report and outputting a diagnosis result based on each follow-up data filled by a doctor.
The embodiment of the invention is provided with a history report extraction module, a history report display module, a follow-up data extraction module and a follow-up report generation module, when a doctor opens a follow-up image structured report interface, the history image structured reports of the same part and the same examination purpose of the same patient can be extracted for the reference of the doctor reporting, when the doctor opens one of the history image structured reports and double clicks a certain description attribute according to the requirement, the follow-up data extraction module automatically extracts the history data under the description attribute, and the history data is loaded to the corresponding position of the follow-up image structured report as follow-up data; the follow-up report generation module automatically generates a follow-up image structured report and outputs a diagnosis result based on each follow-up data filled by a doctor; the system can simply and manually select historical iconography expression contents and add the historical iconography expression contents into the follow-up image structured report, is simple and convenient to operate, improves the report writing efficiency of doctors, and reduces the requirement on the memory of the doctors.
Example two
FIG. 10 is a diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a second embodiment of the present invention; as shown in fig. 10, the system further includes a comparison display module 50, which is respectively connected to the historical report display module 20 and the follow-up report generation module 40, and is configured to, when a doctor opens one of the historical image structured reports and clicks a certain historical data to be compared, automatically compare the marked historical data with the follow-up data corresponding to the marked historical data in the follow-up image structured report, when the follow-up data is the same as the historical data, display the follow-up data in the follow-up image structured report with the same mark, and when the follow-up data is different from the historical data, display the follow-up data in the follow-up image structured report with different marks.
When the doctor fills in the current follow-up report, in the process of describing certain iconography expression, if parts with the same parts and the same iconography expression are found in the historical report, the parts are automatically introduced into the current follow-up report.
FIG. 11 is a schematic diagram of an interface of a doctor in a system for dynamically acquiring follow-up data from a historical image structured report, wherein the doctor selects "morphology" and "property" in the historical image structured report for comparison and marking according to a second embodiment of the invention; as shown in fig. 11, in the history report, a mouse clicks the relevant control to select or cancel the description attribute to be compared, the selected description attribute is automatically marked in a manner of a border with different colors, as shown in fig. 11, a click selects the description attribute "form" and "property" to be compared, and the values of the "form" and the "property" are marked as a blue border, so that the view of the doctor is facilitated.
Fig. 12 is a schematic interface diagram illustrating marking after comparing the "morphology" and the "property" of the follow-up image structured report in the system for dynamically acquiring follow-up data from the historical image structured report according to the second embodiment of the present invention; as shown in fig. 12, if the form value in the current follow-up report is "regular" and the property is "real", the contrast display module highlights the "form" value in the current follow-up report by using a red border, and displays the "property" by using a blue border, so as to facilitate the contrast operation of the doctor.
The form of the mark description attribute can be set individually according to the research and development requirements and the requirements of each medical institution, and is not limited herein.
The embodiment of the invention is provided with the contrast display module, when a doctor opens one of the historical image structured reports and clicks one piece of historical data to be compared, the marked historical data is automatically compared with the follow-up data corresponding to the historical data in the follow-up image structured report, and the changed data of the follow-up data is marked differently to remind the doctor of the change of the patient before and after the focus, so that the intensity of physical labor and mental labor required by the first-line doctor to realize a high-quality follow-up report is greatly reduced.
EXAMPLE III
FIG. 13 is a diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a third embodiment of the present invention; as shown in fig. 13, the follow-up data extraction module 30 further includes a matching unit 302, configured to, when the doctor selects some description attributes in the follow-up image structured report, automatically match the historical data under the description attributes in the historical image structured report, and automatically load the historical data under the description attributes into corresponding positions in the follow-up image structured report.
Fig. 14 is a schematic interface diagram illustrating that in the system for dynamically acquiring follow-up data from a historical image structured report according to the third embodiment of the present invention, when a doctor selects "right lung", "upper lobe" and "front segment" descriptive attributes in the follow-up image structured report, the matching unit automatically displays the matched data in the historical image structured report in the corresponding position, as shown in fig. 14, when the doctor fills in the current follow-up report, the matching unit automatically matches the focus value in the history report according to the filled attribute value, and automatically introduce the matched value into the unfilled part of the current follow-up report, as shown in figure 14, when the doctor selects the right lung, the upper lobe and the front segment, the matching unit matches the historical report focus and automatically fills the matched other types of focuses, forms, properties and sizes into the current follow-up report.
The embodiment of the invention is provided with the matching unit, when a doctor selects certain description attributes in the follow-up image structured report, the historical data under the description attributes in the historical image structured report is automatically matched, the historical data under the description attributes are automatically loaded to the corresponding positions in the follow-up image structured report, and the data is automatically added based on tagging, so that the system is more humanized, the doctor is convenient to operate, and the steps that the doctor firstly watches the examination image, then watches the historical image expression and then returns to the examination image structured report to fill in are omitted.
Example four
FIG. 15 is a diagram illustrating a system for dynamically obtaining follow-up data from a historical image structured report according to a fourth embodiment of the present invention; as shown in fig. 15, the follow-up report generation module 40 further includes a diagnosis result evaluation unit 402, configured to compare the follow-up data with the historical data, and automatically generate an evaluation result based on a preset logic rule and display the evaluation result on the follow-up image structured report interface.
Aiming at different comparison items, different evaluation methods are used, generally in the description of chapters and lesions, the physical concept is very clear, the follow-up evaluation method is clear, and a conventional analysis method can be automatically applied to automatically generate a chart or a logic conclusion; for certain CDE attributes, there may be the possibility of using different scoring methods like RECIST, irRECIST, etc. This allows the diagnostician to manually select an evaluation method to generate evaluation analysis content.
FIG. 16 is a schematic diagram of an evaluation result interface output by a diagnosis result evaluation unit in a system for dynamically acquiring follow-up data from a historical image structured report according to a fourth embodiment of the present invention; as shown in fig. 16, the lesion may be reported based on the comparison history, and logic may be applied automatically to generate relevant diagnostic content, or may be edited manually. As shown in fig. 16: historical report "anterior segment of right superior lobe" lesion volume 1mm × 2mm × 3mm (6 mm)3) In the new report, it was changed to 2 mm. times.2 mm (8 mm)3) And logic is applied in the image description, and a report before comparison is automatically generated, so that the volume is increased: 2mm3”。
The embodiment of the invention is provided with the diagnosis result evaluation unit, the follow-up data and the historical data are compared, the evaluation result is automatically generated and displayed on the follow-up image structured report interface based on the preset logic rule, the clear comparative analysis result can be rapidly calculated and generated based on the labeled follow-up comparative data before and after, the image department can greatly improve the clinical diagnosis and treatment service level, and meanwhile, the precious data are accumulated for future scientific research analysis, and the method has outstanding social value and economic value.
EXAMPLE five
FIG. 17 is a flowchart of a method for dynamically obtaining follow-up data from a historical image structured report according to a fifth embodiment of the present invention; as shown in fig. 17, the method includes the steps of:
step S501, when a doctor opens a follow-up image examination structured report interface of a patient, a historical report extraction module extracts all historical image structured reports which are the same as examination items and examination purposes of follow-up image examination based on preset conditions, and sends the historical image structured reports to a historical report display module;
the method is suitable for being used when the image department doctor starts to write the examination report after the follow-up imaging examination of the patient is completed, and is only suitable for the condition that the historical image report is a structured report, the historical image report is not a structured report, and the method is not suitable for use.
Fig. 18 is a schematic diagram illustrating a fifth embodiment of determining whether a historical image structured report is a structured report code in a method for dynamically acquiring follow-up data from a historical image structured report according to the present invention; as shown in fig. 18, when the doctor opens the follow-up image structured report, the system first determines whether the historical image examination report of the patient is a structured report, and the codes are as follows:
whether the design HISTORY report view V _ RPT _ HISTORY IS a structured report IS judged according to the condition that CASE WHEN db, T _ RPT _ REPORT, F _ STU _ ID IN (SELECT F _ MAIN _ ID FROM T _ SR _ OBJECT _ VALUE _ CHAR) THEN ' IS ' ELSE ' END AS F _ IS _ SR.
Fig. 19 is a schematic diagram illustrating a list of historical image structured reports of the same patient in the method for dynamically acquiring follow-up data from historical image structured reports according to the fifth embodiment of the present invention; as shown in fig. 19, the HISTORY report view V _ RPT _ HISTORY includes at least the following: patient name, examination item (F _ STU _ plain), examination purpose (F _ STU _ CHAR406), whether it IS a structured report (F _ IS _ SR), patient number (F _ PAT _ NO).
Fig. 20 is a schematic interface diagram illustrating extraction of preset condition settings of a historical image structured report in a method for dynamically acquiring follow-up data from a historical image structured report according to a fifth embodiment of the present invention; as shown in fig. 20, the value of the system parameter ID920 is set, and the query condition F _ STU _ plain [ ] defining the history report list; 212 [; ' AND F _ STU _ CHAR406 ═ [; 3083 [; 'AND F _ IS _ SR ═ IS' AND F _ PAT _ NO [; 103 [; 'AND F _ STU _ NO < >' [; 202 [; "ORDER BY F _ STU _ EXAM _ DATE DESC, replace variable in query condition with the relevant value of the current check open in the program [; 212 [; is an inspection item, [; 3083 [; for inspection purposes, [; 103 [; patient number, [; 202 [; and is the inspection number.
The inspection number is not listed in the extraction historical image structured report list.
Step S502, the historical report display module displays the historical image structured report at the corresponding position of the follow-up image examination structured report interface in a form of a list for selection of a doctor;
FIG. 21 is a schematic interface diagram of a structured report of historical images extracted in the method for dynamically acquiring follow-up data from a structured report of historical images, which is displayed in the form of a list according to the fifth embodiment of the present invention; as shown in fig. 21, based on the preset conditions, the historical examination reports meeting the preset conditions are shown in the list of fig. 5, and the doctor can click "report" to open the corresponding report interface and view the images. The date and time of examination, examination number, examination item, examination purpose, age, patient number, and status name (whether the initial report or the examination report) are displayed in the list
Step S503, when the doctor opens one of the historical image structured reports and double-clicks a certain description attribute according to the requirement, the follow-up data extraction module automatically extracts the historical data under the description attribute, and the historical data is loaded to the corresponding position of the follow-up image structured report as follow-up data;
fig. 22 is a schematic view of a historical image structured report interface with a check number CT00000287 opened by a doctor in the method for dynamically acquiring follow-up data from a historical image structured report according to the fifth embodiment of the present invention; referring to fig. 22, the doctor may select a report in the historical image structured report list, click the "report" button, load the historical image structured report interface (Page title displays the historical image structured report check number), display the check number "CT 00000287" in the upper right corner of fig. 22, and display the structured report related data of the check number after the Page interface is opened. The interface displays the image representation of the patient at the examination of 12/9/2020, for example, the image displays controls corresponding to "other types of lesions" in the anterior segment of the right lung, such as morphology: irregularity; the properties are solidity, the size is 1mm multiplied by 2mm multiplied by 3mm, the three-dimensional radial line and the volume is 6mm3。
The contents to be compared are selected from the historical image report, and can be selected from three levels: 1. the minimum unit can be the CDE (common Data element) description attribute of a certain focus; 2. a single lesion (and its CDE of all attributes) may be selected, or multiple homogeneous lesions; 3. a structured report independent Section (Section) may contain a variety of different types of lesions. And the selected structural part containing the semantic information and the information of the historical focus is loaded into a follow-up report and used as the follow-up report to generate the same type of CDE attributes so as to fill in comparison.
Fig. 23 is a schematic interface diagram illustrating that, in the fifth method for dynamically acquiring follow-up data from a historical image structured report according to the embodiment of the present invention, a doctor loads "irregular" data into a corresponding position of the follow-up image structured report after double-clicking a "shape" edit box in the historical image structured report; as shown in fig. 23, this diagram is a minimum unit CDE for loading the history data, the top right corner of fig. 23 shows "content" to represent that this interface is the current follow-up image examination structured report interface, when the doctor double-clicks the "shape" description attribute, the value "irregularity" is loaded into the current follow-up report, and then the doctor needs to modify according to the follow-up examination image, and then modifies the image data on the current interface.
Fig. 24 is a schematic interface diagram illustrating that, when a doctor double-clicks the lesion list "anterior segment of right superior lung" in the historical image structured report, the doctor loads all the description attribute values of the lesion into the corresponding position of the follow-up image structured report according to the fifth embodiment of the present invention; as shown in fig. 24, a single lesion and a CDE of all attributes thereof are selected, the doctor double clicks the "anterior segment of the upper lobe of the right lung" in the historical report lesion list, loads the historical data of the lesion and all the description attributes into the current follow-up report, selects the "right lung", "upper lobe" and "anterior segment" in the current report interface, and selects "other types of lesions", for example, data corresponding to description attributes related to morphology, properties and size are also loaded into the current follow-up report.
Fig. 25 is a schematic interface diagram illustrating a physician double-clicking a focus "size" title bar of a historical image structured report to load all description attribute values of the title bar into a corresponding position of the follow-up image structured report in the method for dynamically acquiring follow-up data from the historical image structured report according to the fifth embodiment of the present invention; referring to the description attribute under Section, the physician double-clicks the focus "size" title bar in the history report, and loads all the description attribute values of the title bar into the current follow-up report, as shown in fig. 25.
Step S504, the follow-up report generation module automatically generates a follow-up image structured report based on each follow-up data filled by the doctor and outputs a diagnosis result.
Wherein, the method also comprises: when a doctor opens one of the historical image structured reports and clicks one certain historical data needing to be compared, the comparison display module marks the historical data and then automatically compares the marked historical data with the follow-up data corresponding to the historical data in the follow-up image structured report, when the follow-up data is the same as the historical data, the follow-up data is displayed in the follow-up image structured report by the same mark, and when the follow-up data is different from the historical data, the follow-up data is displayed in the follow-up image structured report by different marks.
When the doctor fills in the current follow-up report, in the process of describing certain iconography expression, if parts with the same parts and the same iconography expression are found in the historical report, the parts are automatically introduced into the current follow-up report.
FIG. 26 is a schematic interface diagram illustrating a physician selecting "morphology" and "property" in a historical image structured report for comparison and labeling in the method for dynamically acquiring follow-up data from the historical image structured report according to the fifth embodiment of the present invention; as shown in fig. 26, in the history report, a mouse clicks the relevant control to select or cancel the description attribute to be compared, the selected description attribute is automatically marked in a manner of a border with different colors, as shown in fig. 26, the description attribute "form" and "property" to be compared is clicked and selected, and the values of the "form" and the "property" are marked as a blue border, so that the description attribute is convenient for the doctor to view.
Fig. 27 is a schematic interface diagram illustrating labeling after comparing the "morphology" and the "property" of the structured report of follow-up image in the method for dynamically acquiring follow-up data from the structured report of historical image according to the fifth embodiment of the present invention; as shown in fig. 27, if the form value in the current follow-up report is "regular" and the property is "real", the contrast display module highlights the "form" value in the current follow-up report by using a red border, and displays the "property" by using a blue border, so as to facilitate the contrast operation of the doctor.
The form of the mark description attribute can be set individually according to the research and development requirements and the requirements of each medical institution, and is not limited herein.
Wherein, the method also comprises: when a doctor selects certain description attributes in the follow-up image structured report, the matching unit in the follow-up data extraction module automatically matches the historical data under the description attributes in the historical image structured report, and automatically loads the historical data under the description attributes to corresponding positions in the follow-up image structured report.
Fig. 28 is a schematic interface diagram illustrating that in the method for dynamically acquiring follow-up data from a historical image structured report according to the fifth embodiment of the present invention, when a doctor selects "right lung", "upper lobe" and "front segment" descriptive attributes in the follow-up image structured report, the matching unit automatically displays the matched data in the historical image structured report in the corresponding position, as shown in fig. 28, when the doctor fills in the current follow-up report, the matching unit automatically matches the focus value in the history report according to the filled attribute value, and automatically introduce the matched values into the unfilled parts of the current follow-up report, as shown in figure 28, when the doctor selects the right lung, the upper lobe and the front segment, the matching unit matches the historical report focus and automatically fills the matched other types of focuses, forms, properties and sizes into the current follow-up report.
Wherein, the method also comprises: and a diagnosis result evaluation unit in the follow-up report generation module compares the follow-up data with the historical data, automatically generates an evaluation result based on a preset logic rule and displays the evaluation result on a follow-up image structured report interface.
Aiming at different comparison items, different evaluation methods are used, generally in the description of chapters and lesions, the physical concept is very clear, the follow-up evaluation method is clear, and a conventional analysis method can be automatically applied to automatically generate a chart or a logic conclusion; for certain CDE attributes, there may be the possibility of using different scoring methods like RECIST, irRECIST, etc. This allows the diagnostician to manually select an evaluation method to generate evaluation analysis content.
Fig. 29 is a schematic view of an evaluation result interface output by the diagnosis result evaluation unit in the method for dynamically acquiring follow-up data from a historical image structured report according to the fifth embodiment of the present invention; as shown in fig. 29, the lesion may be reported based on the comparison history, and logic may be applied automatically to generate relevant diagnostic content, or may be edited manually. As shown in fig. 29: historical report "anterior segment of right superior lobe" lesion volume 1mm × 2mm × 3mm (6 mm)3) In the new report, it was changed to 2 mm. times.2 mm (8 mm)3) And logic is applied in the image description, and a report before comparison is automatically generated, so that the volume is increased: 2mm3”。
When a doctor opens a follow-up image structured report interface, the historical image structured reports of the same part and the same examination purpose of the same patient can be extracted for reference of the doctor reporting the follow-up image, and when the doctor opens one of the historical image structured reports and double clicks a description attribute according to the requirement, the follow-up data extraction module automatically extracts the historical data under the description attribute and loads the extracted historical data as follow-up data to the corresponding position of the follow-up image structured report; the follow-up report generation module automatically generates a follow-up image structured report and outputs a diagnosis result based on each follow-up data filled by a doctor; the system can simply and manually select historical iconography expression contents and add the historical iconography expression contents into the follow-up image structured report, is simple and convenient to operate, improves the report writing efficiency of doctors, and reduces the requirement on the memory of the doctors; when a doctor opens one of the historical image structured reports and clicks one piece of historical data needing to be compared, the marked historical data is automatically compared with the follow-up data corresponding to the marked historical data in the follow-up image structured report, and the changed data of the follow-up data is marked differently so as to remind the doctor of the change of the patient before and after the focus, thereby greatly reducing the intensity of physical and mental labor required by a first-line doctor to realize a high-quality follow-up report; when a doctor selects certain description attributes in a follow-up image structured report, the matching unit automatically matches historical data under the description attributes in the historical image structured report, automatically loads the historical data under the description attributes to corresponding positions in the follow-up image structured report, and automatically adds the historical data based on tagged data, so that the system is more humanized, the doctor can conveniently operate, and the steps of firstly watching an examination image, then watching a historical image expression and then returning to the examination image structured report to fill in the examination image structured report are omitted; the diagnosis result evaluation unit compares the follow-up data with the historical data, automatically generates an evaluation result based on a preset logic rule and displays the evaluation result on a follow-up image structured report interface, can quickly calculate and generate a clear comparative analysis result based on labeled follow-up comparative data before and after, can greatly improve the level of an image department facing clinical diagnosis and treatment service, and meanwhile accumulates valuable data for future scientific research analysis, and has outstanding social value and economic value.
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 history report extraction module, a history report display module, a follow-up data extraction module and a follow-up report generation module, when a doctor opens a follow-up image structured report interface, the history image structured reports of the same part and the same examination purpose of the same patient can be extracted for the reference of the doctor reporting, when the doctor opens one of the history image structured reports and double clicks a certain description attribute according to the requirement, the follow-up data extraction module automatically extracts the history data under the description attribute, and the history data is loaded to the corresponding position of the follow-up image structured report as follow-up data; the follow-up report generation module automatically generates a follow-up image structured report and outputs a diagnosis result based on each follow-up data filled by a doctor; the system can simply and manually select historical iconography expression contents and add the historical iconography expression contents into the follow-up image structured report, is simple and convenient to operate, improves the report writing efficiency of doctors, and reduces the requirement on the memory of the doctors; the embodiment of the invention is provided with the contrast display module, when a doctor opens one of the historical image structured reports and clicks one piece of historical data to be compared, the marked historical data is automatically compared with the follow-up data corresponding to the historical data in the follow-up image structured report, and the changed data of the follow-up data is marked differently so as to remind the doctor of the change of the patient before and after the focus, thereby greatly reducing the intensity of physical and mental labor required by a first doctor to realize a high-quality follow-up report; the embodiment of the invention is provided with the matching unit, when a doctor selects certain description attributes in the follow-up image structured report, the historical data under the description attributes in the historical image structured report is automatically matched, the historical data under the description attributes are automatically loaded to the corresponding positions in the follow-up image structured report, and the tagged data is automatically added, so that the system is more humanized, the doctor is convenient to operate, and the steps that the doctor firstly looks at the current examination image and then looks at the historical image expression and then returns to the examination image structured report to fill in are omitted; the embodiment of the invention is provided with the diagnosis result evaluation unit, the follow-up data and the historical data are compared, the evaluation result is automatically generated and displayed on the follow-up image structured report interface based on the preset logic rule, the clear comparative analysis result can be rapidly calculated and generated based on the labeled follow-up comparative data before and after, the image department can greatly improve the clinical diagnosis and treatment service level, and meanwhile, the precious data are accumulated for future scientific research analysis, and the method has outstanding social value and economic value.
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.
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