CN115985443A - Report quality control system suitable for intelligent layered labeling audit of image diagnostic images - Google Patents

Report quality control system suitable for intelligent layered labeling audit of image diagnostic images Download PDF

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Publication number
CN115985443A
CN115985443A CN202211442971.2A CN202211442971A CN115985443A CN 115985443 A CN115985443 A CN 115985443A CN 202211442971 A CN202211442971 A CN 202211442971A CN 115985443 A CN115985443 A CN 115985443A
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report
image
images
module
auditing
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汪洋
王显龙
林波淼
王燕钰
蒋春秀
文海涛
梁焯峰
张茂苹
袁丽华
张英为
徐颖
温志波
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Southern Medical University Zhujiang Hospital
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Southern Medical University Zhujiang Hospital
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Abstract

The invention discloses a report quality control system suitable for intelligent layered labeling examination and verification of image diagnostic images. The invention can manually mark any sequence of image data, and the mark of the lower doctor can be consulted and modified by the upper doctor and can be registered and stored on each sequence of image again, thereby solving the problems that the phenomena of false report and missed report are very easy to occur in the actual operation process of the current clinical image diagnosis, and each preliminarily reported doctor, the examined image and the reported doctor observe the image from the beginning or write the characters related to the image, and the condition of delaying the release of the image report is caused, the accuracy and the timeliness of the diagnosis are influenced, and the image department and other departments are not favorable for communicating the medical image condition, thereby influencing the fluency and the low efficiency of the whole medical diagnosis process, and being incapable of realizing the conversion of benefit value-added service and technical knowledge with the clinical departments.

Description

Report quality control system suitable for intelligent layered labeling examination and verification of image diagnosis images
Technical Field
The invention relates to the field of medical image processing, in particular to a report quality control system suitable for intelligent layered labeling examination and verification of image diagnosis images.
Background
The CT/MR machine scans layer by layer to obtain images in a tomography mode, then the images obtained by a series of tomography are rearranged in sequence to obtain a complete sequence of images, and an imaging doctor needs to perform positioning diagnosis and qualitative diagnosis of lesion of an imaging report according to the images obtained by scanning the CT/MR machine in daily clinical imaging diagnosis work.
In the prior art, the clinical image diagnosis process only relies on a "dual review system", i.e., the low-age physician writes a preliminary report, temporarily stores the report, and then, the high-age physician reviews and issues the report. Theoretically, this form of double insurance can guarantee the report quality and the "utopia mode" of double-blind interpretation. In the actual operation process, the phenomena of false report and missed report are very easy to occur, and doctors of each preliminary report, auditors of images and reports observe images from the beginning or write characters related to the images, huge workload of hundreds of images and large-area characters on the straight surface is needed, the condition of delaying the release of image reports is caused, the accuracy and timeliness of diagnosis are influenced, and communication between image departments and other departments on medical image conditions is not facilitated, so that the fluency of the whole medical diagnosis process is influenced, the efficiency is low, and the conversion of benefit value-added services and technical knowledge with clinical departments cannot be realized.
Therefore, it is necessary to design and develop a report quality control system suitable for intelligent hierarchical labeling auditing of image diagnostic images.
Disclosure of Invention
In order to solve the technical problems, the invention provides a report quality control system suitable for intelligent layered labeling examination and verification of image diagnostic images.
The technical scheme of the invention is realized as follows:
a report quality control system suitable for intelligent layered labeling examination of image diagnosis images comprises a sequence image registration module, a look-up module, a storage module, a collaborative look-up module and a manual examination module.
And the sequence image registration module carries out automatic registration on the input sequence images to obtain registered sequence images.
The consulting module comprises a marking unit and a rechecking unit.
The storage module comprises a database, an authorization unit and a correction unit.
The collaborative consultation module comprises an opinion collecting unit, an image and report objection registering unit and an image and report temporary correcting unit.
The manual review module determines whether to adopt the temporarily corrected image or report.
The invention solves the problems that the phenomena of false report and missed report are very easy to occur in the actual operation process of the current clinical image diagnosis, and doctors of each primary report, the audited images and the reported doctors observe the images from the beginning or write the characters related to the images, and huge workload of hundreds of images and large-area characters is needed, so that the condition of issuing the image report is delayed, and the accuracy and timeliness of diagnosis are influenced.
Drawings
FIG. 1 is a schematic diagram of the marking operation of the present invention.
Fig. 2 is a flow chart of the present invention.
Detailed Description
As shown in fig. 1-2, the report quality control system suitable for intelligent layered labeling examination of image diagnostic images of the present invention includes a sequence image registration module, a lookup module, a storage module, a collaborative lookup module and a manual examination module;
wherein:
and the sequence image registration module automatically registers the input sequence images according to the current international label.
The consulting module comprises a marking unit and a rechecking unit, the marking unit makes preliminary marks and remarks on the positions of the lesions on the registered sequence images and provides a platform for manually writing a preliminary report, a primary doctor performs the preliminary marks and remarks on the sequence images which are registered, finishes writing the preliminary report and then hands the sequence images to the rechecking unit for rechecking, the rechecking unit has the function of modifying and supplementing the sequence images which have finished the preliminary marks and the remarks of the lesions and the preliminary report, a superior doctor who obtains authority modifies or supplements the sequence images which have finished the preliminary marks and the remarks of the lesions and the preliminary report through the rechecking unit, and then transmits the modified or supplemented sequence images and diagnosis reports to the storage module for storage.
The storage module comprises a database, an authorization unit and a correction unit, the database stores the sequence images of the marked and remarked lesions and the diagnosis report, when the stored images or reports need to be modified, the authorization module grants the superior physician the authority to modify the images or reports, so that the errors of the images or reports can be corrected in time, and the images or reports are restored into the database after the correction.
The collaborative consultation module comprises an opinion collecting unit, an image and report objection registering unit and an image and report temporary correcting unit, wherein the opinion collecting unit collects opinions given by all departments in the collaborative consultation process, the image and report objection registering unit registers objections of all departments in the collaborative consultation process, and the image and report temporary correcting unit transmits the temporarily modified image or report to the manual review module through manual temporary modification and real-time updating of the image or report in the collaborative consultation process.
The manual review module determines whether the temporarily modified image or report is saved, if the review determines that the image or report is saved, the image or report is saved into the database, and if the review determines that the image or report is not saved, the contents of the original image and the report are maintained.
Example one
When the superior physicians do not modify the opinions and actions on the lesion location markings and remarks made by the primary physicians, the working process of the present invention is such that:
the method comprises the steps that firstly, a primary doctor observes a lesion position through a reference module, an arrow, such as a light yellow semitransparent arrow, is drawn on the lesion position through a marking unit, remark content is written, then the primary doctor who writes a primary report manually inputs the written primary report according to the lesion pointed by the primary doctor, then a superior doctor who is responsible for reviewing conducts review on the basis of the lesion position mark and the remark made by the primary doctor through a rechecking unit, the picture is not required to be browsed from head to tail, only the lesion is required to be searched in a missing and filling mode, the label can be set to be semitransparent red to show differentiation with a primary doctor, the manually set label has a certain lesion tissue identification avoiding function through AI mark optimization, and the semi-transparent label-like mark is marked in a gap or normal tissue in the picture to avoid marking the image of the lesion tissue. When the upper-level doctors do not modify opinions and measures on the lesion position marks and remarks made by the primary doctors, the sequence images of the marked and remarked lesions and the diagnosis report are transmitted to a database in a storage module for storage, and meanwhile, the high-age doctors can be allowed to have the authority to correct and supplement the marked arrows and the text reports of the low-age doctors through an authorization unit in the storage module. The image and the report are called from the database and transmitted to the collaborative consulting module to be consulted with other departments, different opinions of all the departments are collected through an opinion collecting unit in the consulting process, the objections of all the departments are registered through image and report objection registration, the image and report temporary correction unit temporarily modifies the image or the report and updates the image or the report in real time, whether the temporarily modified image is stored or not is determined through the manual auditing module, if the image and the report are determined to be stored, the image and the report are stored into the database, and if the image and the report are not determined to be stored, the contents of the original image and the report are maintained.
Example two
When the superior physicians modify and supplement the lesion location markings and remarks made by the primary physicians, the working process of the present invention is such that:
firstly, a primary doctor observes a lesion position through a looking-up module, draws an arrow, such as a light yellow semitransparent arrow, at the lesion position through a labeling unit, writes remark content, then the primary doctor who writes a primary report writes the primary report through manual input according to the pointed lesion, then a superior doctor who is responsible for reviewing looks up the lesion position mark and the remark made by the primary doctor through a review unit, the primary doctor does not need to scroll through pictures from head to tail, only needs to search for the lesion in a missing and filling mode, the label can be set to be semitransparent red to show differentiation with a primary reporting doctor, the manually set label has a certain lesion tissue identification avoiding function through AI label optimization, and the semitransparent label is marked in a gap in the pictures or normal tissues to avoid marking the images of the lesion tissue. After the primary physician modifies and supplements the lesion position marks and remarks made by the primary physician, the superior physician transmits the modified and supplemented sequence images of the marks and remarks and the diagnosis reports to a database in the storage module for storage, and meanwhile, the high-age physician can be allowed to have the authority to modify and supplement the labeled arrow and text reports of the low-age physician through the authorization unit in the storage module. The image and the report are called from the database and transmitted to the collaborative consulting module to be consulted with other departments, different opinions of all departments are collected through an opinion collecting unit in the consulting process, the objections of all departments are registered through image and report objection registration, the image and report temporary correction unit temporarily modifies the image or the report and updates the image or the report in real time, the temporarily modified image is determined to be stored or not through the manual auditing module, if the auditing is determined to be stored, the image and the report are stored in the database, and if the auditing is determined not to be stored, the content of the original image and the report is maintained.
EXAMPLE III
When the upper level physician has no modification opinions and measures on the lesion position marks and remarks made by the primary level physician, but other department physicians have modification opinions on the lesion position marks and remarks, the working process of the invention is as follows:
firstly, a primary doctor observes a lesion position through a looking-up module, draws an arrow, such as a light yellow semitransparent arrow, at the lesion position through a labeling unit, writes remark content, then the primary doctor who writes a primary report writes the primary report through manual input according to the pointed lesion, then a superior doctor who is responsible for reviewing looks up the lesion position mark and the remark made by the primary doctor through a review unit, the primary doctor does not need to scroll through pictures from head to tail, only needs to search for the lesion in a missing and filling mode, the label can be set to be semitransparent red to show differentiation with a primary reporting doctor, the manually set label has a certain lesion tissue identification avoiding function through AI label optimization, and the semitransparent label is marked in a gap in the pictures or normal tissues to avoid marking the images of the lesion tissue. When the upper-level doctors do not modify opinions and measures on the lesion position marks and remarks made by the primary doctors, the sequence images of the marked and remarked lesions and the diagnosis report are transmitted to a database in a storage module for storage, and meanwhile, the high-age doctors can be allowed to have the authority to correct and supplement the marked arrows and the text reports of the low-age doctors through an authorization unit in the storage module. When other department doctors mark and remark the lesion position with modification opinions, the images and the reports are called from the database and transmitted to the collaborative consulting module to consult with other departments, different opinions of all the departments are collected through the opinion collecting unit in the consulting process, objections of all the departments are registered through image and report objection registration, the images or the reports are temporarily modified through the image and report temporary correcting unit and are updated in real time, the temporarily modified images are determined to be stored or not through the manual auditing module, if the temporarily modified images are determined to be stored, the temporarily modified images are stored into the database, and if the temporarily modified images are not stored, the contents of the original images and the reports are maintained.

Claims (8)

1. A report quality control system suitable for intelligent hierarchical labeling audit of image diagnosis images is characterized in that: the system comprises a sequence image registration module, a consulting module, a storage module, a collaborative consulting module and a manual auditing module;
the sequence image registration module is used for registering the sequence images scanned and output by the CT/MR equipment;
the consulting module is used for marking the lesion position, remarking and writing a report on the registered sequence image by a doctor, submitting the sequence image to a superior doctor for rechecking and outputting a sequence image and a diagnosis report of the marked and remarked lesion;
the storage module is used for transmitting the sequence images of the rechecked markers and the remarked lesions and the diagnosis report to a database in the storage module for storage;
the collaborative consulting module is used for calling and transmitting the images and the reports in the database to the collaborative consulting module;
and the manual auditing module is responsible for auditing the opinions and objections of the images or the reports in each department and auditing and determining whether to adopt the temporarily corrected images or reports.
2. The report quality control system suitable for the intelligent hierarchical labeling auditing of image diagnostic images according to claim 1, characterized in that: the consulting module comprises a preliminary labeling unit, and a primary physician marks and notes the lesion positions of the registered sequence images through the labeling unit and writes a preliminary report.
3. The report quality control system suitable for the intelligent hierarchical labeling auditing of image diagnostic images according to claim 2, characterized in that: the consulting module comprises a rechecking unit, and the superior physician who obtains the authority modifies or supplements the sequence images and the preliminary reports of the completed preliminary marking and remarking lesions through the rechecking unit.
4. The report quality control system suitable for intelligent hierarchical labeling auditing of image diagnostic images according to claim 2, characterized in that: and the marking unit optimizes the AI mark of the preliminary mark, so that the manually set mark has a certain function of avoiding the lesion tissue identification, and a semitransparent mark is marked in a gap in a picture or a normal tissue.
5. The report quality control system suitable for intelligent hierarchical labeling auditing of image diagnostic images according to claim 1, characterized in that: the storage module comprises a database and is used for storing the sequence images of the marked and remarked lesions and the diagnosis report; the authorization unit is responsible for granting the authority of a superior physician to modify the serial images and the diagnosis report of the marked and remarked lesion; and the correction unit is used for correcting or supplementing the serial images of the marked and remarked lesions and the diagnosis report by a superior doctor through the correction unit.
6. The report quality control system suitable for the intelligent hierarchical labeling auditing of image diagnostic images according to claim 1, characterized in that: the collaborative consultation module comprises an opinion collecting unit which is responsible for collecting opinions given by various departments in the collaborative consultation process; and the image and report objection registration unit is responsible for registering objections of all departments in the collaborative consulting process. And the image and report temporary correction unit is used for temporarily modifying the image or the report manually in the cooperative consulting process and updating the image or the report in real time.
7. The report quality control system suitable for the intelligent hierarchical labeling auditing of image diagnostic images according to claim 1, characterized in that: the cooperative reference module comprises an image and report temporary correction unit and is responsible for temporarily modifying images or reports manually and updating in real time in the cooperative reference process.
8. The report quality control system suitable for the intelligent hierarchical labeling auditing of image diagnostic images according to claim 1, characterized in that: and the manual auditing module determines whether to store the temporarily corrected image and report through auditing, stores the temporarily corrected image and report into a database when the temporarily corrected image and report are judged to be yes, and does not store the temporarily corrected image and report when the temporarily corrected image and report are judged to be not judged to be no.
CN202211442971.2A 2022-11-18 2022-11-18 Report quality control system suitable for intelligent layered labeling audit of image diagnostic images Pending CN115985443A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116977320A (en) * 2023-08-14 2023-10-31 中山火炬开发区人民医院 CT+MRI lesion region protrusion estimating system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106446574A (en) * 2016-10-10 2017-02-22 重庆市中迪医疗信息科技股份有限公司 Image report system
CN109903839A (en) * 2019-02-22 2019-06-18 武汉凯德维斯生物技术有限公司 A kind of medical imaging diagosis system based on cloud platform
CN111461530A (en) * 2020-03-30 2020-07-28 陈卫霞 Image diagnosis report quality evaluation system and method thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106446574A (en) * 2016-10-10 2017-02-22 重庆市中迪医疗信息科技股份有限公司 Image report system
CN109903839A (en) * 2019-02-22 2019-06-18 武汉凯德维斯生物技术有限公司 A kind of medical imaging diagosis system based on cloud platform
CN111461530A (en) * 2020-03-30 2020-07-28 陈卫霞 Image diagnosis report quality evaluation system and method thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116977320A (en) * 2023-08-14 2023-10-31 中山火炬开发区人民医院 CT+MRI lesion region protrusion estimating system
CN116977320B (en) * 2023-08-14 2024-04-26 中山火炬开发区人民医院 CT+MRI lesion region protrusion estimating system

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