CN114496174A - Electronic report generation method, device, equipment and medium based on operation video - Google Patents
Electronic report generation method, device, equipment and medium based on operation video Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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Abstract
The application relates to an electronic report generating method, device, equipment and medium based on operation video, which relate to the technical field of electronic reports, the method comprises the steps of obtaining basic information and preoperative examination information of a patient, wherein the preoperative examination information comprises an examination image of a focus of the patient; acquiring operation image information in an operation process, wherein the operation image information comprises an operation video; generating an electronic report based on the basic information, the preoperative examination information, and the surgical image information. The problem of medical terminology in the electronic report obscure difficult understanding, it is difficult to make patient really understand operation process and result, arouse patient's doubtful to the operation process easily is solved, the effect that the process of operation is known to the patient of being convenient for of this application.
Description
Technical Field
The present application relates to the field of electronic report technology, and in particular, to a method, an apparatus, a device, and a medium for generating an electronic report based on a surgical video.
Background
With the development of science and technology, the traditional paper report of a hospital gradually evolves into the current electronic report, and a patient or a family member can check an examination result through electronic equipment such as a mobile phone without going to the hospital to print the report, so that great convenience is provided for the patient or the family member.
For the patients who do surgery, the development of the disease condition is usually judged through the text description in the electronic report, but the text of the medical terms and the like in the electronic report is obscure, so that the patients are difficult to really understand the surgical process and the result, and the suspicion of the surgical process by the patients is easy to be caused.
Disclosure of Invention
In order to facilitate the patient to know the operation process, the application provides an electronic report generation method, device, equipment and medium based on operation video.
In a first aspect, the present application provides a method for generating an electronic report based on a surgical video, which adopts the following technical scheme:
a method of electronic report generation based on surgical video, comprising:
acquiring basic information and preoperative examination information of a patient, wherein the preoperative examination information comprises an examination image of a focus of the patient;
acquiring operation image information in an operation process, wherein the operation image information comprises an operation video;
generating an electronic report based on the basic information, the preoperative examination information, and the surgical image information.
By adopting the technical scheme, when the patient acquires the electronic report, the whole process of the operation can be known through the operation video on the electronic report, and compared with the full text word version of the electronic report, the electronic report is more convincing to the patient, so that the trust of the patient to a doctor is enhanced, and the generation of doctor-patient contradiction is reduced.
Optionally, the electronic report includes a plurality of video templates, and the generating the electronic report based on the basic information, the preoperative examination information and the surgical image information includes:
intercepting a plurality of first characteristic images in the operation video according to a preset strategy;
extracting the features of the first feature images, and judging the type of the operation according to the extracted feature information;
calling a video template corresponding to the operation category;
and processing the operation video through the called video template to obtain the operation video displayed by the electronic report.
Optionally, the surgery video corresponds to a plurality of timestamp information, and the timestamp information is used for marking an event node of the surgery video; the intercepting of the plurality of first characteristic images in the surgery video according to the preset strategy comprises the following steps:
acquiring timestamp information corresponding to an event node for judging the type of the operation;
intercepting a first video clip from the surgery video based on the acquired timestamp information;
dividing the first video segment according to equal time intervals to obtain a plurality of first video segments;
at least one first feature image is captured on each first video segment.
Optionally, the operation video is processed through the called video template to obtain the operation video displayed by the electronic report, including:
acquiring a plurality of video sub-templates in the video template, wherein each video sub-template corresponds to an event node;
for any video sub-template, acquiring timestamp information corresponding to the video sub-template;
intercepting a second video clip corresponding to the video sub-template from the operation video based on the acquired timestamp information;
and processing the intercepted second video clip through the video sub-template to obtain the second video clip displayed by the electronic report.
Optionally, the electronic report includes an order area, and the generating the electronic report based on the basic information, the preoperative examination information, and the operative image information includes:
acquiring medical advice text information of a doctor;
extracting medical terms in the medical order text information;
adding hyperlinks of the medical terms and corresponding link target addresses in the order text information;
and displaying the medical order text information added with the hyperlink in the medical order area.
By adopting the technical scheme, the explanation corresponding to the medical terms is obtained through the hyperlink, so that the patient can conveniently understand the medical order information, and the patient can easily read the medical order information.
Optionally, the electronic report includes a further surgical conclusion area, and the method further includes:
acquiring timestamp information corresponding to an event node for acquiring a surgical conclusion;
intercepting a third video clip from the surgery video based on the acquired timestamp information;
dividing the third video segment according to equal time intervals to obtain a plurality of second video segments;
intercepting at least one second characteristic image on each second video segment;
selecting an optimal characteristic image for showing the position of the focus of the patient from a plurality of second characteristic images;
analyzing the optimal characteristic image of the patient focus position and the patient focus examination image based on an image recognition algorithm to obtain an operation conclusion;
displaying the surgical conclusion in the surgical conclusion area.
In a second aspect, the present application provides an electronic report generating device based on a surgical video, which adopts the following technical solutions:
an electronic report generating device based on operation video, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring basic information and preoperative examination information of a patient, and the preoperative examination information comprises an examination image of a focus of the patient;
the second acquisition module is used for acquiring operation image information in an operation process, wherein the operation image information comprises an operation video;
a generating module for generating an electronic report based on the basic information, the preoperative examination information and the operative image information.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and execute the method of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and executed to perform the method of the first aspect.
Drawings
Fig. 1 is a schematic flow chart of a method for generating an electronic report based on a surgical video in an embodiment of the present application.
Fig. 2 is a block diagram of an electronic report generation apparatus 200 based on a surgical video in an embodiment of the present application.
Fig. 3 is a block diagram of an electronic device 300 in this embodiment.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
The embodiment of the application provides an electronic report generating method based on an operation video, the electronic report generating based on the operation video can be executed by an electronic device, the electronic device can be a server or a terminal device, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a desktop computer, etc.
As shown in fig. 1, a method for generating an electronic report based on a surgical video includes the following steps (steps S101 to S103):
step S101, acquiring basic information and preoperative examination information of a patient, wherein the preoperative examination information comprises an examination image of a focus of the patient;
in this embodiment, basic information of a patient and preoperative examination information are introduced, the basic information includes name, gender, identification number, hospitalization number, disease state introduction, and the like, wherein the basic information can be acquired through a his hospital management system or a digital operation platform, but is not limited thereto, the basic information of each patient corresponds to an identification feature, and the identification number is taken as an example for explanation in this embodiment; the preoperative examination information includes examination images such as color ultrasound, CT nuclear magnetic and X-ray films, wherein the preoperative examination information can be acquired through a pace system and can also be acquired through an lis system, but the preoperative examination information is not limited to the above, the examination images all include an identification number, the preoperative examination information of each patient corresponds to one identification feature, in this embodiment, the identification number is also taken as an example for explanation, and the basic information of the patient and the preoperative examination information are associated through the identification number.
Step S102, obtaining operation image information in an operation process, wherein the operation image information comprises an operation video;
in this embodiment, the whole process of an operation is recorded by a camera device in a digital operating room, each operation video corresponds to one identification feature, an identification number is used as an example in this embodiment, and event nodes in the operation videos are marked in the process of recording the operation videos.
Specifically, voice sent in the operation process is identified, event nodes in the voice are marked, for example, the event nodes are operation start, patient transfer-in, anesthesia start, patient transfer-out, operation end and the like, when the event nodes are identified, the current time point is obtained and is used as the time point of the event nodes, and timestamp information is added to a recorded operation video; it should be noted that the event node added with the time stamp information by the surgery video coincides with the time point.
In step S103, an electronic report is generated based on the basic information, the preoperative examination information, and the surgical image information.
Before generating the electronic report, a video template corresponding to the acquired surgery video needs to be acquired, and the method specifically comprises the following steps:
step S1031, intercepting a plurality of first characteristic images in the operation video according to a preset strategy;
specifically, timestamp information corresponding to an event node for judging the type of the operation is acquired; intercepting a first video clip from the surgery video based on the acquired timestamp information; and segmenting the first video segment according to equal time intervals to obtain a plurality of first video segments, and intercepting at least one first characteristic image on each first video segment.
In the present embodiment, the surgical video is divided into a plurality of video segments based on the time stamp information, for example, a video segment of the excision focus in the surgical view is captured by two pieces of time stamp information of the excision focus start and the excision focus completion. The first video clip for determining the type of the operation is selected from the plurality of video clips, and in this embodiment, the first video clip may be a video clip of a lesion, but is not limited thereto.
Taking a video clip of an excision lesion as an example, a video time of the video clip of the excision lesion is obtained, the video clip of the excision lesion is divided into a plurality of first video segments based on the video time, for example, the video time of the video clip is one minute, and the video clip can be cut at ten seconds, twenty seconds, thirty seconds, forty seconds, fifty seconds and one minute, the video clip is divided into six first video segments, and one or more feature images are cut on each first video segment.
Step S1032, extracting the features of the first feature images, and judging the operation type according to the extracted feature information;
in the embodiment, feature extraction is performed on a plurality of first feature images through a first image recognition model, so as to determine the type of the operation, such as cardiac operation and amputation, by using feature information, wherein the first image recognition model is a deep neural network used for image recognition, and the deep neural network may be a convolutional neural network, but is not limited thereto.
Step S1033, calling a video template corresponding to the operation type;
in the present embodiment, each type of surgery corresponds to one video template, and each video template corresponds to one event node, which is illustrated as a cardiac surgery in the present embodiment. When the type of the operation obtained through the operation video is the heart operation, a video template corresponding to the heart operation is retrieved.
And S1034, processing the operation video through the called video template to obtain the operation video displayed by the electronic report.
Specifically, a plurality of video sub-templates in a video template are obtained, wherein each video sub-template corresponds to an event node; for any video sub-template, acquiring timestamp information corresponding to the video sub-template; intercepting a second video clip corresponding to the video sub-template from the operation video based on the acquired timestamp information; processing the intercepted second video clip through the video sub-template to obtain the second video clip displayed by the electronic report
In the present embodiment, the video template includes a plurality of video sub-templates, including, but not limited to, a pre-operative preparation template, an intra-operative template, and a wound suturing template. Each video sub-template corresponds to one event node, corresponding timestamp information on the operation video is selected based on the event nodes, a second video clip is intercepted in the operation video based on the timestamp information, the second video clip is intercepted based on the video time of the video sub-templates, and finally the intercepted second video clip is displayed on an electronic report, for example, the video time of the video sub-templates is four minutes, the video time of the second video clip is five minutes, and then the second video clip is intercepted for four minutes and matched with the corresponding video sub-templates.
The electronic report includes, but is not limited to, patient basic data, preoperative examination information, surgical video, but also medical order information and surgical findings.
Wherein, the showing of the medical advice information is specifically as follows:
acquiring medical advice text information of a doctor; extracting medical terms in the medical order text information; adding medical terms and corresponding hyperlinks for linking target addresses in the medical order text information; and displaying the order text information added with the hyperlink in an order area in the electronic report.
In this embodiment, each medical order corresponds to one identification feature, in this embodiment, an identification number is taken as an example for explanation, and medical order text information of a doctor is matched to a medical order area of a corresponding electronic report through the identification number, where the medical order text information may be imported for a user, and may also be automatically matched through a medical order database, which is not specifically limited in this embodiment.
The demonstration of the operation conclusion is specifically as follows:
acquiring timestamp information corresponding to an event node for acquiring a surgical conclusion; intercepting a third video clip from the surgery video based on the acquired timestamp information; dividing the third video segment according to equal time intervals to obtain a plurality of second video segments; intercepting at least one second characteristic image on each second video segment; selecting an optimal characteristic image for displaying the focus position of the patient from the plurality of second characteristic images; and analyzing the optimal characteristic image of the focus position of the patient and the focus examination image of the patient based on an image recognition algorithm to obtain an operation conclusion, and displaying the operation conclusion in an operation conclusion area in the electronic report.
Taking tumor resection as an example, obtaining a video time of a focus resection video segment, dividing the focus resection video segment into a plurality of third video segments based on the video time, for example, the video time of the video segment is one minute, and can be captured at ten seconds, twenty seconds, thirty seconds, forty seconds, fifty seconds, and one minute, dividing the focus resection video segment into six third video segments, capturing a plurality of second feature images on each third video segment, in this embodiment, the second feature images are used for comparing with the examination image to obtain an operation result, comparing the plurality of second feature images through a second image recognition model to obtain an image closest to the focus position of the examination image, the image is an optimal feature image of the focus position of the patient, wherein the second image recognition model is a deep neural network for image recognition, the deep neural network may be a convolutional neural network, but is not limited thereto, and it should be noted that the first image recognition model and the second image recognition model may be the same or different, and are not specifically limited in this embodiment.
The optimal characteristic image of the focus position of the patient is compared with the inspection image through an image recognition technology, for example, if the inspection image contains a tumor and the optimal characteristic image of the focus position of the patient does not contain the tumor, the operation success is represented, and the inspection image, the optimal characteristic image of the focus position of the patient and an operation conclusion are displayed in an operation conclusion area, wherein the image recognition technology can also adopt an image recognition model mode.
It should be noted that the electronic report may be in the form of a platform link, a two-dimensional code, an Html, or the like, and may also be in the form of a recordable optical disc, a usb disk, or the like, which is not specifically limited in this embodiment.
Fig. 2 is a block diagram of an electronic report generation apparatus 200 based on operation video according to the present application. As shown in fig. 2, the electronic report generation apparatus 200 based on operation video mainly includes:
a first obtaining module 201, configured to obtain basic information of a patient and preoperative examination information, where the preoperative examination information includes an examination image of a lesion of the patient;
a second obtaining module 202, configured to obtain operation image information in an operation process, where the operation image information includes an operation video;
a generating module 203 for generating an electronic report based on the basic information, the preoperative examination information and the operative image information.
As an optional implementation manner of this embodiment, the generating module 203 further includes:
the first intercepting submodule is used for intercepting a plurality of first characteristic images in the operation video according to a preset strategy;
the extraction judgment sub-module is used for extracting the characteristics of the first characteristic images and judging the type of the operation according to the extracted characteristic information;
the calling submodule is used for calling a video template corresponding to the operation type;
and the processing submodule is used for processing the operation video through the called video template to obtain the operation video displayed by the electronic report.
In this optional embodiment, the intercepting submodule is specifically configured to acquire timestamp information corresponding to an event node for determining a type of an operation; intercepting a first video clip from the surgery video based on the acquired timestamp information; dividing the first video segment according to equal time intervals to obtain a plurality of first video segments; at least one first feature image is captured on each first video segment.
In this optional embodiment, the processing sub-module is specifically configured to obtain a plurality of video sub-templates in the video template, where each video sub-template corresponds to an event node; for any video sub-template, acquiring timestamp information corresponding to the video sub-template; intercepting a second video clip corresponding to the video sub-template from the operation video based on the acquired timestamp information; and processing the second video clip selected by the video sub-template to obtain the second video clip displayed by the electronic report.
As an optional implementation manner of this embodiment, the generating module 203 further includes:
the first obtaining submodule is used for obtaining medical advice text information of a doctor;
the extraction submodule is used for extracting medical terms in the medical advice text information;
the adding submodule is used for adding medical terms and corresponding hyperlinks of the link target addresses in the medical advice text information;
and the first display submodule is used for displaying the medical advice text information added with the hyperlink in the medical advice area.
As an optional implementation manner of this embodiment, the generating module 203 further includes:
the second obtaining submodule is used for obtaining timestamp information corresponding to the event node of the operation conclusion;
the second intercepting submodule is used for intercepting a third video clip from the operation video based on the acquired timestamp information;
a partitioning submodule for partitioning the third video segment at equal time intervals to obtain a plurality of second video segments
A third capture submodule for capturing at least one second feature image on each second video segment;
the selecting submodule is used for selecting an optimal characteristic image for displaying the focus position of the patient from the plurality of second characteristic images;
the analysis submodule is used for analyzing the optimal characteristic image of the focus position of the patient and the focus examination image of the patient based on an image recognition algorithm to obtain an operation conclusion;
and the second display sub-module is used for displaying the operation conclusion in the operation conclusion area.
The functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Fig. 3 is a block diagram of an electronic device 300 according to an embodiment of the present disclosure. As shown in fig. 3, electronic device 300 includes memory 301, processor 302, and communication bus 303; the memory 301 and the processor 302 are connected by a communication bus 303. The memory 301 stores a video-based electronic report generating method capable of being loaded and executed by the processor 302 as provided in the above embodiments.
The memory 301 may be used to store instructions, programs, code sets or instruction sets. The memory 301 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing one of the surgical video-based electronic report generation methods provided by the above-described embodiments, and the like; the storage data area can store data and the like involved in the operation video-based electronic report generation method provided by the embodiment.
The communication bus 303 may include a path that conveys information between the aforementioned components. The communication bus 303 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus 303 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus.
Embodiments of the present application provide a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing a method for generating an electronic report based on a surgical video according to the above embodiments.
In this embodiment, the computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, but is not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any combination of the foregoing. In particular, the computer readable storage medium may be a portable computer diskette, a hard disk, a U-disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a podium random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical coding device, and any combination thereof.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments with a particular combination of the above-mentioned features, but also encompasses other embodiments with any combination of the above-mentioned features or their equivalents without departing from the spirit of the application. For example, the above features may be replaced with (but not limited to) features having similar functions as those described in this application.
Claims (9)
1. A method for generating an electronic report based on operation video is characterized by comprising the following steps:
acquiring basic information and preoperative examination information of a patient, wherein the preoperative examination information comprises an examination image of a focus of the patient;
acquiring operation image information in an operation process, wherein the operation image information comprises an operation video;
generating an electronic report based on the basic information, the preoperative examination information, and the surgical image information.
2. The method of claim 1, wherein the electronic report includes a plurality of video templates, and wherein generating an electronic report based on the base information, the preoperative examination information, and the operative image information comprises:
intercepting a plurality of first characteristic images in the operation video according to a preset strategy;
extracting the features of the first feature images, and judging the type of the operation according to the extracted feature information;
calling a video template corresponding to the operation category;
and processing the operation video through the called video template to obtain the operation video displayed by the electronic report.
3. The method of claim 2, wherein the surgery video corresponds to a plurality of time stamp information, the time stamp information being used to mark event nodes of the surgery video; the intercepting of the plurality of first characteristic images in the surgery video according to the preset strategy comprises the following steps:
acquiring timestamp information corresponding to an event node for judging the type of the operation;
intercepting a first video clip from the surgery video based on the acquired timestamp information;
dividing the first video segment according to equal time intervals to obtain a plurality of first video segments;
at least one first feature image is captured on each first video segment.
4. The method of claim 3, wherein processing the surgical video through the invoked video template to obtain a surgical video presented in an electronic report comprises:
acquiring a plurality of video sub-templates in the video template, wherein each video sub-template corresponds to an event node;
for any video sub-template, acquiring timestamp information corresponding to the video sub-template;
intercepting a second video clip corresponding to the video sub-template from the operation video based on the acquired timestamp information;
and processing the intercepted second video clip through the video sub-template to obtain the second video clip displayed by the electronic report.
5. The method of claim 1, wherein the electronic report includes an order area, the generating an electronic report based on the basic information, the preoperative examination information, and the operative image information comprising:
acquiring medical advice text information of a doctor;
extracting medical terms in the medical order text information;
adding hyperlinks of the medical terms and corresponding link target addresses in the order text information;
and displaying the medical advice text information added with the hyperlink in the medical advice area.
6. The method of claim 3, wherein the electronic report further includes a surgical conclusion area, the method further comprising:
acquiring timestamp information corresponding to an event node for acquiring a surgical conclusion;
intercepting a third video clip from the surgery video based on the acquired timestamp information;
dividing the third video segment according to equal time intervals to obtain a plurality of second video segments;
intercepting at least one second characteristic image on each second video segment;
selecting an optimal characteristic image for showing the position of the focus of the patient from a plurality of second characteristic images;
analyzing the optimal characteristic image of the patient focus position and the patient focus examination image based on an image recognition algorithm to obtain an operation conclusion;
displaying the surgical conclusion in the surgical conclusion area.
7. An electronic report generating device based on operation video is characterized by comprising,
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring basic information and preoperative examination information of a patient, and the preoperative examination information comprises an examination image of a focus of the patient;
the second acquisition module is used for acquiring operation image information in an operation process, wherein the operation image information comprises an operation video;
a generating module for generating an electronic report based on the basic information, the preoperative examination information and the operative image information.
8. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 6.
9. A computer-readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which executes a method according to any one of claims 1 to 6.
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| CN202111679658.6A CN114496174A (en) | 2021-12-31 | 2021-12-31 | Electronic report generation method, device, equipment and medium based on operation video |
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| CN202111679658.6A CN114496174A (en) | 2021-12-31 | 2021-12-31 | Electronic report generation method, device, equipment and medium based on operation video |
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