CN113113100B - Method and device for making medical image inspection report - Google Patents
Method and device for making medical image inspection report Download PDFInfo
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Abstract
The application discloses a method and a device for making a medical image examination report, wherein the method comprises the following steps: acquiring and displaying a disease segment included in the corresponding examination part according to the patient information calling instruction; when detecting the disease segment input order, loading an input template of the corresponding disease segment into an image examination description interface; entering a template to display the attribute and attribute related information of each intelligent unit of the illness state segment; when an image examination description instruction is detected, determining attribute values of corresponding intelligent units in an input template according to the instruction and displaying the attribute values; when an image acquisition instruction is detected, acquiring and displaying an image of an inspection part; when the input completion instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the image examination description interface; and when the report generation instruction is detected, generating a medical image examination report according to the diagnosis result, the text information and the image. By adopting the method and the device, the manufacturing cost can be reduced, and the accuracy and the manufacturing efficiency of the report data can be improved.
Description
Technical Field
The present invention relates to mobile communication technology, and in particular, to a method and apparatus for making a medical image examination report.
Background
Traditional medical image examination report entry schemes are implemented in a manner that a physician cooperates with an assistant. During the image examination, the physician informs the assistant of the image examination result information, and the assistant generates a corresponding medical image examination report based on the image examination result information.
In the process of realizing the invention, the inventor finds that the traditional medical image inspection report recording scheme has the problems of high cost, easy error, low recording efficiency and the like, and the specific reason is analyzed as follows:
1. in the traditional report making scheme, templates used when inputting image inspection information have universality, and descriptive contents corresponding to different conditions are different, so that when information is recorded, a large amount of adding and deleting operations are required to be performed on the information in the templates according to actual inspection conditions, thereby leading to great workload of inspection information input, complex operation, further leading to the need of special assistant participation of inputting besides doctors for image inspection, leading to high labor cost of scheme realization, and increasing personnel management difficulty and causing waste of human resources.
2. The generation of the medical image examination report is dependent on the voice interaction between a doctor and an assistant, so that the medical image examination report is limited by the problem that the understanding error is difficult to avoid in the interaction process, and the medical image examination report is easy to be in error; on the other hand, the efficiency of making medical image examination reports is low due to the time overhead of the interactive links.
Disclosure of Invention
Therefore, the main purpose of the invention is to provide a method and a device for making a medical image inspection report, which can reduce the recording cost and improve the recording accuracy and the recording efficiency.
In order to achieve the above purpose, the technical scheme provided by the invention is as follows:
a method of making a medical imaging exam report, comprising:
acquiring and displaying a disease segment included in the corresponding examination part according to the patient information calling instruction;
when detecting a disease segment input order, loading an input template of a corresponding disease segment to an image examination description interface; the input template displays the attribute and attribute related information of each intelligent unit of the illness state segment; the attribute related information comprises attribute value input prompt information and/or default attribute values;
when an image inspection description instruction is detected, determining an attribute value of a corresponding intelligent unit in the input template according to the image inspection description instruction, and displaying the attribute value at a corresponding position of the input template;
when an image acquisition instruction is detected, acquiring and displaying an image of the checking part;
when the input completion instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the image inspection description interface at present;
And when a report generation instruction is detected, generating a medical image examination report according to the current diagnosis result, the text information and the image.
Preferably, the determining, according to the image inspection description instruction, the attribute value of the corresponding intelligent unit in the input template includes:
recording prompt information according to an attribute name or an attribute value carried by the image inspection description instruction, and determining a corresponding intelligent unit Dn in the recording template;
if the image checking description instruction carries the attribute value of the intelligent unit Dn or parameter information for determining the attribute value of the intelligent unit Dn, determining the attribute value of the intelligent unit Dn in the input template according to the image checking description instruction;
if the image checking description instruction does not carry the attribute value of the intelligent unit Dn and the parameter information for determining the attribute value of the intelligent unit Dn, displaying a candidate attribute value set of the intelligent unit Dn, and determining the attribute value of the intelligent unit Dn according to the attribute value selected by a user from the candidate attribute value set;
when the set attribute value has an associated smart unit, the associated smart unit is activated.
Preferably, the method further comprises:
after the diagnosis result is displayed, if a suggested query instruction is detected, acquiring and displaying preset examination suggested information associated with the illness state segment in the image examination description interface;
if the examination suggestion selection instruction is detected, adding the examination suggestion selected by the examination suggestion selection instruction to the current diagnosis result;
and if the diagnosis modification instruction is detected, revising the current diagnosis result according to the diagnosis modification instruction.
Preferably, the generating a medical image examination report according to the current diagnosis result, the text information and the image further comprises:
before generating a template according to a preset examination report, judging whether the disease segments in the image examination description interface have associated and non-recorded disease segments or not, and if so, displaying description information that the associated and non-recorded disease segments are not abnormal on the image examination description interface.
Preferably, the method further comprises:
after determining the attribute value of the corresponding intelligent unit in the input template according to the image inspection description instruction, if the attribute value has a preset score, calculating or updating the total image inspection score corresponding to the text information displayed on the image inspection description interface currently according to the score, and displaying the total image inspection score on the image inspection description interface.
Preferably, the patient information calling instruction, the illness state section recording instruction, the image examination description instruction, the image acquisition instruction, the recording completion instruction and the report generation instruction are input through voice, a touch screen, a mouse and/or a keyboard;
the method further comprises: and when the instruction input through the voice is detected, displaying a corresponding voice recognition result.
Preferably, when the condition segment entry order is input by voice, the detecting of the condition segment entry order includes:
performing voice recognition on currently input user voice information;
judging whether a preset first key information exists in the voice recognition result, if so, judging that the voice information of the user is the illness state segment input instruction; the first key information is identification information of a disease segment included in the examination part.
Preferably, when the image inspection description instruction is input through voice, the detecting of the image inspection description instruction includes:
performing voice recognition on currently input user voice information;
judging whether a preset second key information exists in the voice recognition result, if so, judging the voice information of the user as the image checking description instruction; the second key information belongs to a key information set of the input template in the current editing state, and the key information set comprises the attribute of the input template, the attribute value input prompt information and/or the data for calculating the attribute value.
Preferably, the method further comprises:
displaying information of each intelligent unit in the image checking description interface by adopting a display mode matched with the current activation state or deactivation state of the intelligent unit; wherein, the display mode corresponding to the activation state is different from the display mode corresponding to the deactivation state.
Preferably, the method further comprises:
the disease segment included in the checking position is determined in advance according to a preset disease segment setting strategy;
for each disease segment, identifying a description object related to the disease segment, and setting the description object as the attribute of the disease segment; the descriptive object is the smallest information entity with editable characteristics in the illness state segment;
generating a corresponding intelligent unit according to each attribute; the intelligent unit includes: the system comprises an attribute identification number, an attribute name, a default attribute value, a candidate attribute value set, an attribute value calculation formula, intelligent unit association information, attribute value input prompt information, initial state information and/or checking part attribution information, wherein the initial state is an activation state or a deactivation state.
Preferably, the method further comprises:
Setting or adjusting initial state information of the intelligent unit according to the use frequency of the intelligent unit; and if the using frequency is smaller than a preset frequency threshold value, setting or adjusting the initial state information into a deactivated state, otherwise, setting or adjusting the initial state information into an activated state.
The embodiment of the application also discloses a device for making the medical image examination report, which comprises:
the disease segment acquisition module is used for acquiring and displaying disease segments included in corresponding examination positions according to the patient information calling instruction;
the image examination description module is used for loading the entry template of the corresponding illness state segment to the image examination description interface when the illness state segment entry command is detected; the input template displays the attribute and attribute related information of each intelligent unit of the illness state segment; the attribute related information comprises attribute value input prompt information and/or default attribute values; when an image inspection description instruction is detected, determining an attribute value of a corresponding intelligent unit in the input template according to the image inspection description instruction, and displaying the attribute value at a corresponding position of the input template; when an image acquisition instruction is detected, acquiring and displaying an image of the checking part;
The diagnosis module is used for generating and displaying a diagnosis result according to the text information displayed on the image inspection description interface when the input completion instruction is detected;
and the report making module is used for generating a medical image examination report according to the current diagnosis result, the text information and the image when the report generation instruction is detected.
The embodiment of the application also discloses a device for making the medical image examination report, which comprises a processor and a memory;
the memory stores therein an application executable by the processor for causing the processor to perform the method of making a medical image examination report as described above.
The embodiment of the application also discloses a computer readable storage medium, wherein computer readable instructions are stored, and the computer readable instructions are used for executing the method for making the medical image examination report.
As can be seen from the above technical solution, the method and apparatus for making a medical image examination report according to the embodiments of the present invention display all preset illness state segments included in an examination part of a corresponding patient after receiving a patient information calling instruction, so that a user can select an illness state segment to be described in accordance with an image examination description requirement, load an entry template of the illness state segment selected by the user into a current image examination description interface according to an illness state segment entry instruction of the user, and display attribute and attribute value entry prompt information or default attribute values corresponding to each intelligent unit in the entry template in the image examination description interface, so that the user can obtain an image examination description text of the current examination only by setting related attribute values in the entry template based on the entry template loaded into the image examination description interface without performing a large number of information adding and deleting operations on the entry template. Therefore, by adopting the method and the device, the standardization of the image examination description information input can be realized, so that the workload of generating the medical image examination report can be greatly reduced, the convenience, accuracy and efficiency of generating the medical image examination report are effectively improved, the examination doctor can rapidly complete the generation of the medical image examination report without assistance, the labor cost of scheme realization is effectively reduced, the waste of human resources is avoided, and the management cost is reduced. In addition, the normalization of the image examination description text is improved by using the input template of each disease segment, so that the generated medical image examination report is favorable for providing accurate and normalized treatment data, and further accurate and convenient data support is provided for professional researches in the medical field.
Drawings
FIG. 1 is a schematic flow chart of a method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an interface for generating an intelligent unit according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a template for recording a disease segment displayed on an image examination description interface according to an embodiment of the present invention;
FIG. 4 is a diagram showing the diagnostic results according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a device for producing a medical image examination report according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and the embodiments, in order to make the objects, technical solutions and advantages of the present invention more apparent.
Fig. 1 is a flow chart of a method according to an embodiment of the present invention, as shown in fig. 1, a method for manufacturing a medical image examination report according to the embodiment mainly includes:
In this step, when the patient information calling instruction is detected, a patient segment set corresponding to the examination part of the patient indicated by the patient information calling instruction is searched from the database and displayed to the user, so that the user can select a patient segment required by the current patient description from the displayed patient segment set, and the current image examination situation is described by using a preset entry template of the patient segment.
It should be noted that, in order to realize standardization of image examination description information input, in this step, a disease segment included in the examination part needs to be determined in advance according to a preset disease segment setting policy. In clinical applications, one skilled in the art can set the condition fragment setting strategy according to actual needs. For example, a segment of a condition included in the examination site may be determined based on the type of lesion at the examination site. Taking thyroid as an example, the corresponding set of condition segments may include: examples of the disease segments include, but are not limited to, common thyroid gland, cystic thyroid nodule (mainly cystic), cystic thyroid nodule (mainly solid), thyroidial nodule, and spongiform thyroid nodule.
In practical application, the patient information calling instruction may be a patient calling instruction, so that after the user (i.e. a doctor) sends the patient calling instruction, the user can call the patient information and actively jump to a corresponding report making page, and all the disease segment information included in the corresponding examination part of the patient is displayed in the page, so as to assist the user to further select a required disease segment therefrom, and load the input template thereof into the current image examination description interface.
when an image inspection description instruction is detected, determining an attribute value of a corresponding intelligent unit in the input template according to the image inspection description instruction, and displaying the attribute value at a corresponding position of the input template;
and when an image acquisition instruction is detected, acquiring and displaying the image of the checking part.
In the step, when a disease segment recording order is detected, a preset recording template corresponding to a corresponding disease segment is obtained from a database, and attributes corresponding to all intelligent units in the recording template and attribute value recording prompt information or default attribute values are displayed on a current image examination description interface. Therefore, the user can obtain the image examination description text of the current examination by only setting the attribute values related to the current examination description without adding and deleting a large amount of information on the input template based on the input template displayed on the image examination description interface, so that the workload of image examination description can be greatly reduced, a doctor performing image examination can independently complete the recording of the image examination condition while doing examination, the convenience and efficiency of image examination description are further improved, the labor cost of scheme realization is effectively reduced, the waste of human resources is avoided, and the management cost is reduced. In addition, the normalization of the image examination description text is improved by using the input template of each disease segment, so that the generated medical image examination report is favorable for providing accurate and normalized treatment data, and further accurate and convenient data support can be provided for scientific research in the medical field.
The input template is constructed based on the intelligent unit set of the corresponding illness state segment, and the input template can display the attribute and attribute related information of each intelligent unit of the corresponding illness state segment. The intelligent unit set for the illness state segment can be set by a person skilled in the art according to the description information related to the illness state segment.
FIG. 3 is a schematic diagram showing loading of the entry templates of the corresponding condition segments into the image examination description interface according to the condition segment entry instructions of the user. As shown in FIG. 3, in the editable area in the middle of the user interface, an entry template for the user selected condition segment will be displayed, wherein the relevant information for each intelligent cell is identified by underlining.
In one embodiment, the smart unit may be built in advance using the following method:
and a step a1, for a disease segment, identifying a description object related to the disease segment, and setting the description object as the attribute of the disease segment.
The descriptive object is the smallest information entity with editable characteristics in the illness state segment. The editable feature means that the feature of the information entity has editability.
For example, in image examination, it is often necessary to describe the shape of an organ, and the shape usually has a series of feature description words such as "circle", "ellipse", "irregular", "pear", etc., so the "shape" may be set as the attribute of the disease segment, and accordingly, "circle", "ellipse", "irregular", "pear" are candidate attribute values of the shape.
For another example, for the description of the internal structure of a lesion, "internal echo" may be set as an attribute, and "inhomogeneous echo", "anechoic region", "spot-like echo", etc. may be set as candidate attribute values of "internal echo".
Therefore, each detail related to the image examination can be clearly described by utilizing the combination of the attribute name and the attribute value, so that a plurality of adding and deleting operations for describing different organ shapes, focus internal echoes and the like based on a single examination description template in the traditional scheme can be avoided by introducing a preset intelligent unit.
In practical application, the above-mentioned attribute and candidate attribute value may be set according to the specific content that needs to be involved in the actual image inspection description. For example, the attribute and attribute value related to the disease segment can be identified from the aspects of organs (appearance, morphology, local, edge, etc.), lesions (appearance, distribution state, boundary, envelope, internal structure, echo description, echo intensity, etc.), the proximity relation of surrounding organs (continuity, compression, adhesion, infiltration, etc.), data measurement (lesion position, number, range, size, etc.), color doppler (blood flow signal, doppler signal), etc. Taking thyroid as an example, a smart unit as shown in the following table can be constructed:
TABLE 1
Accordingly, based on the intelligent units in table 1 above, a set of intelligent units for each condition segment of the thyroid can be set as shown in table 2 below:
TABLE 2
And a2, generating a corresponding intelligent unit according to each attribute.
Preferably, the intelligent unit may include the following information: attribute identification number, attribute name, default attribute value, candidate attribute value set, attribute value calculation formula, intelligent unit association information, attribute value input prompt information, initial state information and/or checking position attribution information; the initial state is an activated state or a deactivated state.
Here, considering that some diseases in clinic can occur in a second symptom while one symptom occurs in a very high probability, in this way, different attributes may have a certain relevance, in order to make the clinical operation more intelligent, when the intelligent unit is generated, the relevance can be accurately identified by using the setting of the relevance information of the intelligent unit, and then the intellectualization and the accuracy of the image checking description can be realized through the linkage control of the intelligent unit.
In one embodiment, the interface shown in FIG. 2 may be used to generate the intelligent unit. In fig. 2, to increase the efficiency of the generation of the intelligent units, a batch entry interface is provided.
Further, in order to reduce the workload of image examination description and improve the efficiency of image examination description, in an embodiment, an intelligent unit with a small frequency of use may be set to a deactivated state according to the frequency of use of the intelligent unit, so that, when the user performs image examination description, if the attribute value setting operation is not performed on the intelligent unit, the intelligent unit is always in an inactive state (i.e. in a deactivated state), and thus, the intelligent unit is not presented in a final medical image examination and is not printed. The following method can be adopted to achieve the aim:
setting or adjusting initial state information of the intelligent unit according to the use frequency of the intelligent unit; and if the using frequency is smaller than a preset frequency threshold value, setting or adjusting the initial state information into a deactivated state, otherwise, setting or adjusting the initial state information into an activated state.
In an embodiment, in step 102, when an image inspection description instruction is detected, the following method may be specifically adopted to determine, according to the image inspection description instruction, an attribute value of a corresponding intelligent unit in the entry template:
step b1, recording prompt information according to attribute names or attribute values carried by the image inspection description instruction, and determining corresponding intelligent units D in the recording template n 。
Step b2, if the image inspection description instruction carries the intelligent unit D n Or for determining the property value of the intelligent unit D n According to the image inspection description instruction, determining the intelligent unit D in the input template n Attribute values of (2);
if the image inspection descriptionThe instruction does not carry the intelligent unit D n Attribute values of (D) and for determining said intelligent unit D n Parameter information of the attribute values of (D) then displaying said intelligent unit D n According to the attribute value selected by the user from the candidate attribute value set, determining the intelligent unit D n Is a property value of (a).
Here, the image inspection description instruction does not carry the intelligent unit D n Attribute values of (D) and for determining said intelligent unit D n The parameter information of the attribute value of (a) means that the image inspection description instruction does not carry the intelligent unit D n Nor does the attribute value carry information for determining the intelligent unit D n When both of the parameter information of the attribute value of (a) are not present in the image examination description instruction, the intelligent unit D needs to be displayed n The candidate attribute value set of the (2) is used for a user to rapidly select the attribute value matched with the current examination from the candidate attribute value set, so that the information quantity input by the user can be reduced, and the convenience of the user operation can be improved.
Step b3, when the set attribute value has an associated intelligent unit, activating the associated intelligent unit.
The step is used for realizing linkage control of the intelligent units with the association relation. For example: for "catheter", candidate attribute values are: no expansion or expansion was seen.
When the expansion is selected, the associated intelligent unit 'inner diameter' is activated, the intelligent unit 'inner diameter' needs to be set with an attribute value, and further, in order to remind a user of setting the intelligent unit, the intelligent unit corresponding to the 'inner diameter' can be displayed in a highlighting reminding mode.
When "no expansion" is selected, the intelligent unit "inside diameter" may be in a deactivated display state, at which time the intelligent unit "inside diameter" will not appear in the subsequently generated medical image exam report.
Preferably, in order to increase the simplicity of the image inspection description text, after determining the attribute value of the corresponding intelligent unit according to the image inspection description instruction, the determined attribute value may replace attribute related information of the corresponding attribute, be displayed in the current image inspection description interface, or be filled into a preset position in the attribute related information of the corresponding attribute.
In one embodiment, in order to distinguish and display the activation/deactivation states of the intelligent units in the image checking description interface, so as to remind the user, different display modes can be selected according to the activation/deactivation states, and the specific method is as follows:
and displaying the information of each intelligent unit in the image checking description interface by adopting a display mode matched with the current activation state or deactivation state of the intelligent unit.
The display mode corresponding to the activation state is different from the display mode corresponding to the deactivation state, and when the intelligent unit is in the deactivation state, the intelligent unit cannot be positioned by a user.
For example, gray display may be used when the smart unit is in the deactivated state, black display may be used when the smart unit is in the activated state, and different underlines and/or colors may be used to distinguish between the smart units in different states, but is not limited to the above.
In an embodiment, in the process of performing image inspection description, the inspection score corresponding to the current image inspection description text may be further calculated in real time according to a preset scoring rule, and the specific method is as follows:
After determining the attribute value of the corresponding intelligent unit in the input template according to the image inspection description instruction, if the attribute value has a preset score, calculating or updating the total image inspection score corresponding to the text information displayed on the current image inspection description interface according to the score, and displaying the total image inspection score on the image inspection description interface.
In order to improve the convenience of the image inspection description information input, the instruction in step 102 may be input by a voice input manner.
In an embodiment, when the condition segment entry instruction is input through voice, the following method may be used to detect the condition segment entry instruction:
performing voice recognition on currently input user voice information;
judging whether a preset first key information exists in the voice recognition result, if so, judging that the voice information of the user is the illness state segment input instruction; the first key information is identification information of a disease segment included in the examination part.
Further, in order to improve the instruction input efficiency, when the condition segment input instruction is voice input, only the corresponding condition segment name may be carried.
In one embodiment, when the image inspection description instruction is input through voice, the following method may be used to detect the image inspection description instruction:
performing voice recognition on currently input user voice information;
judging whether a preset second key information exists in the voice recognition result, if so, judging the voice information of the user as the image checking description instruction; the second key information belongs to a key information set of the input template in the current editing state, and the key information set comprises the attribute of the input template, the attribute value input prompt information and/or the data for calculating the attribute value.
And 103, when the input completion instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the image inspection description interface.
The step is used for generating corresponding diagnosis results based on all the current recorded illness state fragment information according to the user instruction. Specifically, the displayed disease segment information may be analyzed according to a preset diagnosis rule, so as to obtain the diagnosis result. Here, since the condition fragment information for diagnostic analysis is composed of structural data (i.e., the attribute and the attribute value of the intelligent unit), the accuracy of the diagnostic result can be improved.
FIG. 4 shows a schematic diagram of the diagnosis results, as shown in FIG. 4, based on the text information in the image examination description interface, the diagnosis results of "the lower extreme side multiple solid nodules of the left page" will be obtained.
Further, in order to improve the accuracy of the diagnosis result, the user can directly add and delete the currently output diagnosis result according to the requirement. In order to improve the convenience of revising by the user and reduce the input information quantity, the related examination suggestion information can be provided for the user according to the needs of the user, and at the moment, the user can select the needed suggestion information. The method is realized by the following steps:
after the diagnosis result is displayed, if a suggested query instruction is detected, acquiring and displaying preset examination suggested information associated with the illness state segment in the image examination description interface;
if the examination suggestion selection instruction is detected, adding the examination suggestion selected by the examination suggestion selection instruction to the current diagnosis result;
and if the diagnosis modification instruction is detected, revising the current diagnosis result according to the diagnosis modification instruction.
And 104, when a report generation instruction is detected, generating a medical image examination report according to the current diagnosis result, the text information and the image.
In an embodiment, in order to ensure the integrity of the medical image examination report content, the relevance between the disease segments may be set in advance according to the diagnosis requirement, and in the process of performing image examination description, linkage control between the disease segments may be performed based on the relevance. After a doctor describes the condition of a disease segment with a lesion in clinic, searching whether the condition segment has a relevant necessary condition segment without loading, and adding the description that the condition segment has no abnormality to an image examination description interface, wherein the method can be specifically implemented by adopting the following steps:
before generating a template according to a preset examination report, judging whether the disease segments in the image examination description interface have associated and non-recorded disease segments or not, and if so, displaying that the associated and non-recorded disease segments are not abnormal on the image examination description interface.
In an embodiment, the patient information calling instruction, the patient condition segment recording instruction, the image examination description instruction, the image acquisition instruction, the recording completion instruction and the report generation instruction may be input through a mouse and/or a keyboard.
In an embodiment, in order to increase flexibility and convenience of inputting instructions and increase efficiency of generating medical image examination reports, the above patient information calling instructions, illness state segment inputting instructions, image examination description instructions, image acquisition instructions, inputting completion instructions and report generating instructions may also be input through voice and/or touch screen.
Further, when the instruction is a voice instruction, in order to ensure the correct execution of the voice instruction, error operation caused by voice recognition error is avoided, and when the voice instruction is detected, a corresponding voice recognition result is displayed so that a user can check the recognition result of the voice instruction.
According to the technical scheme, the text for describing the medical image examination situation is structured in advance, a plurality of illness state fragments are built for the examination description of each examination part, a corresponding input template is configured for each illness state fragment, attribute and attribute related information of each intelligent unit for displaying the illness state fragments in the input template are input, and when the examination description text is input, a user only needs to set attribute values of the attributes in the templates. Therefore, based on preset structured data, the standardization of the image examination description information input is realized, so that the workload of generating the medical image examination report can be greatly reduced, the convenience, accuracy and efficiency of generating the medical image examination report are effectively improved, the labor cost of scheme realization is effectively reduced, the waste of human resources is avoided, and the management cost is reduced. In addition, the normalization of the image examination description text is improved by using the input template of each disease segment, so that the generated medical image examination report is favorable for providing accurate and normalized treatment data, and further accurate and convenient data support is provided for professional researches in the medical field.
The medical image examination in the present application refers to all medical examinations related to image information, and may be, for example, but not limited to, an ultrasound examination, an MRI examination, a CT examination, a DR examination, an endoscopic examination, a pathological examination, and the like.
Corresponding to the above method embodiment, the present application further discloses a device for producing a medical image examination report, as shown in fig. 5, where the device includes:
the disease segment acquisition module 501 is configured to acquire and display a disease segment included in a corresponding examination location according to a patient information calling instruction;
the image examination description module 502 is configured to load an entry template of a corresponding disease segment into the image examination description interface when a disease segment entry instruction is detected; the input template displays the attribute and attribute related information of each intelligent unit of the illness state segment; the attribute related information comprises attribute value input prompt information and/or default attribute values; when an image inspection description instruction is detected, determining an attribute value of a corresponding intelligent unit in the input template according to the image inspection description instruction, and displaying the attribute value at a corresponding position of the input template; when an image acquisition instruction is detected, acquiring and displaying an image of the checking part;
The diagnosis module 503 is configured to generate and display a diagnosis result according to text information displayed on the image inspection description interface when the input completion instruction is detected;
a report making module 504, configured to, when detecting a report generating instruction, generate a medical image examination report according to the current diagnosis result, the text information and the image.
Corresponding to the method embodiment, the embodiment of the application also discloses a device for making a medical image examination report, which comprises: a processor and a memory; wherein the memory has stored therein an application executable by the processor for causing the processor to perform the method of producing a medical image examination report as described in any one of the preceding claims.
The memory may be implemented as various storage media such as an electrically erasable programmable read-only memory (EEPROM), a Flash memory (Flash memory), a programmable read-only memory (PROM), and the like. A processor may be implemented to include one or more central processors or one or more field programmable gate arrays, where the field programmable gate arrays integrate one or more central processor cores. In particular, the central processor or central processor core may be implemented as a CPU or MCU.
It should be noted that not all the steps and modules in the above processes and the structure diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution sequence of the steps is not fixed and can be adjusted as required. The division of the modules is merely for convenience of description and the division of functions adopted in the embodiments, and in actual implementation, one module may be implemented by a plurality of modules, and functions of a plurality of modules may be implemented by the same module, and the modules may be located in the same device or different devices.
The hardware modules in the various embodiments may be implemented mechanically or electronically. For example, a hardware module may include specially designed permanent circuits or logic devices (e.g., special purpose processors such as FPGAs or ASICs) for performing certain operations. A hardware module may also include programmable logic devices or circuits (e.g., including a general purpose processor or other programmable processor) temporarily configured by software for performing particular operations. As regards implementation of the hardware modules in a mechanical manner, either by dedicated permanent circuits or by circuits that are temporarily configured (e.g. by software), this may be determined by cost and time considerations.
The present invention also provides a machine-readable storage medium storing instructions for causing a machine to perform a method as described herein. Specifically, a system or apparatus provided with a storage medium on which a software program code realizing the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or apparatus may be caused to read out and execute the program code stored in the storage medium. Further, some or all of the actual operations may be performed by an operating system or the like operating on a computer based on instructions of the program code. The program code read out from the storage medium may also be written into a memory provided in an expansion board inserted into a computer or into a memory provided in an expansion unit connected to the computer, and then, based on instructions of the program code, a CPU or the like mounted on the expansion board or the expansion unit may be caused to perform part or all of actual operations, thereby realizing the functions of any of the above embodiments.
Storage medium implementations for providing program code include floppy disks, hard disks, magneto-optical disks, optical disks (e.g., CD-ROMs, CD-R, CD-RWs, DVD-ROMs, DVD-RAMs, DVD-RWs, DVD+RWs), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, the program code may be downloaded from a server computer or cloud by a communications network.
In this document, "schematic" means "serving as an example, instance, or illustration," and any illustrations, embodiments described herein as "schematic" should not be construed as a more preferred or advantageous solution. For simplicity of the drawing, the parts relevant to the present invention are shown only schematically in the drawings, and do not represent the actual structure thereof as a product. Additionally, in order to simplify the drawing for ease of understanding, components having the same structure or function in some of the drawings are shown schematically with only one of them, or only one of them is labeled. In this document, "a" does not mean to limit the number of relevant portions of the present invention to "only one thereof", and "an" does not mean to exclude the case where the number of relevant portions of the present invention is "more than one". In this document, "upper", "lower", "front", "rear", "left", "right", "inner", "outer", and the like are used merely to indicate relative positional relationships between the relevant portions, and do not limit the absolute positions of the relevant portions.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (14)
1. A method of producing a medical imaging exam report, comprising:
acquiring and displaying a disease segment set included in a corresponding examination part according to a patient information calling instruction, so that a user can select a disease segment required by current disease description from the disease segment set, and recording an image examination description text by using a recording template of the selected disease segment;
when detecting a disease segment input order, loading an input template of a corresponding disease segment into a text editable area of an image examination description interface; the input template is used for inputting an image examination description text of the corresponding illness state segment; the input template displays the attribute and attribute related information of each intelligent unit of the illness state segment; the attribute related information comprises attribute value input prompt information and/or default attribute values; the intelligent unit corresponds to the minimum information entity with editable characteristics in the illness state segment and is constructed by utilizing an intelligent unit management interface in advance;
when an image inspection description instruction is detected, determining an attribute value of a corresponding intelligent unit in the input template according to the image inspection description instruction, and displaying the attribute value at a corresponding position of the input template; the display comprises the steps of displaying the determined attribute value instead of the attribute related information of the corresponding attribute in a current image examination description interface or filling the determined attribute value into a preset position in the attribute related information of the corresponding attribute;
When an image acquisition instruction is detected, acquiring and displaying an image of the checking part;
when the input completion instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the image inspection description interface at present; analyzing the displayed text information according to a preset diagnosis rule to obtain the diagnosis result, wherein the displayed text information comprises all the currently entered illness state fragment information for illness state description;
and when a report generation instruction is detected, generating a medical image examination report according to the current diagnosis result, the text information and the image.
2. The method according to claim 1, wherein determining the attribute value of the corresponding intelligent unit in the entry template according to the visual inspection description instruction comprises:
recording prompt information according to attribute names or attribute values carried by the image inspection description instruction, and determining a corresponding intelligent unit D in the recording template n ；
If the image inspection description instruction carries the intelligent unit D n Or for determining the property value of the intelligent unit D n According to the image inspection description instruction, determining the intelligent unit D in the input template n Attribute values of (2);
if the image inspection description instruction does not carry the intelligent unit D n Attribute values of (D) and for determining said intelligent unit D n Parameter information of the attribute values of (D) then displaying said intelligent unit D n According to the attribute value selected by the user from the candidate attribute value set, determining the intelligent unit D n Attribute values of (2);
when the set attribute value has an associated smart unit, the associated smart unit is activated.
3. The method according to claim 2, wherein the method further comprises:
after the diagnosis result is displayed, if a suggested query instruction is detected, acquiring and displaying preset examination suggested information associated with the illness state segment in the image examination description interface;
if the examination suggestion selection instruction is detected, adding the examination suggestion selected by the examination suggestion selection instruction to the current diagnosis result;
and if the diagnosis modification instruction is detected, revising the current diagnosis result according to the diagnosis modification instruction.
4. The method of claim 1, wherein generating a medical imaging exam report based on the current diagnostic result, the textual information, and the image further comprises:
Before generating a template according to a preset examination report, judging whether the disease segments in the image examination description interface have associated and non-recorded disease segments or not, and if so, displaying that the associated and non-recorded disease segments are not abnormal on the image examination description interface.
5. The method according to claim 1, wherein the method further comprises:
after determining the attribute value of the corresponding intelligent unit in the input template according to the image inspection description instruction, if the attribute value has a preset score, calculating or updating the total image inspection score corresponding to the text information displayed on the image inspection description interface currently according to the score, and displaying the total image inspection score on the image inspection description interface.
6. The method of claim 1, wherein the patient information call instruction, the condition fragment entry instruction, the visual examination description instruction, the image acquisition instruction, the entry completion instruction, and the report generation instruction are entered by voice, touch screen, mouse, and/or keyboard;
The method further comprises: and when the instruction input through the voice is detected, displaying a corresponding voice recognition result.
7. The method of claim 1, wherein when the condition segment entry order is entered by voice, the detecting of the condition segment entry order comprises:
performing voice recognition on currently input user voice information;
judging whether a preset first key information exists in the voice recognition result, if so, judging that the voice information of the user is the illness state segment input instruction; the first key information is identification information of a disease segment included in the examination part.
8. The method of claim 1, wherein when the visual inspection description instruction is input by voice, the detecting of the visual inspection description instruction includes:
performing voice recognition on currently input user voice information;
judging whether a preset second key information exists in the voice recognition result, if so, judging the voice information of the user as the image checking description instruction; the second key information belongs to a key information set of the input template in the current editing state, and the key information set comprises the attribute of the input template, the attribute value input prompt information and/or the data for calculating the attribute value.
9. The method according to claim 1, wherein the method further comprises:
displaying information of each intelligent unit in the image checking description interface by adopting a display mode matched with the current activation state or deactivation state of the intelligent unit; wherein, the display mode corresponding to the activation state is different from the display mode corresponding to the deactivation state.
10. The method according to claim 1, wherein the method further comprises:
the disease segment included in the checking position is determined in advance according to a preset disease segment setting strategy;
for each disease segment, identifying a description object related to the disease segment, and setting the description object as the attribute of the disease segment; the descriptive object is the smallest information entity with editable characteristics in the illness state segment;
generating a corresponding intelligent unit according to each attribute; the intelligent unit includes: the system comprises an attribute identification number, an attribute name, a default attribute value, a candidate attribute value set, an attribute value calculation formula, intelligent unit association information, attribute value input prompt information, initial state information and/or checking part attribution information, wherein the initial state is an activation state or a deactivation state.
11. The method according to claim 10, wherein the method further comprises:
setting or adjusting initial state information of the intelligent unit according to the use frequency of the intelligent unit; and if the using frequency is smaller than a preset frequency threshold value, setting or adjusting the initial state information into a deactivated state, otherwise, setting or adjusting the initial state information into an activated state.
12. A medical imaging examination report generation apparatus, comprising:
the system comprises a disease segment acquisition module, a disease examination description module and a disease examination analysis module, wherein the disease segment acquisition module is used for acquiring and displaying a disease segment set included in a corresponding examination part according to a patient information calling instruction so as to enable a user to select a disease segment required by current disease description from the disease segment set, and an input template of the selected disease segment is utilized to input an image examination description text;
the image examination description module is used for loading the entry template of the corresponding illness state fragment into the text editable area of the image examination description interface when the illness state fragment entry instruction is detected; the input template is used for inputting an image examination description text of the corresponding illness state segment; the input template displays the attribute and attribute related information of each intelligent unit of the illness state segment; the attribute related information comprises attribute value input prompt information and/or default attribute values; the intelligent unit corresponds to the minimum information entity with editable characteristics in the illness state segment and is constructed by utilizing an intelligent unit management interface in advance; when an image checking description instruction is detected, determining an attribute value of a corresponding intelligent unit in the input template according to the image checking description instruction, and displaying the attribute value at a corresponding position of the input template, wherein the displaying comprises the steps of displaying the determined attribute value instead of attribute related information of a corresponding attribute in a current image checking description interface or filling the attribute related information of the corresponding attribute into a preset position in the attribute related information of the corresponding attribute; when an image acquisition instruction is detected, acquiring and displaying an image of the checking part;
The diagnosis module is used for generating and displaying a diagnosis result according to the text information displayed on the image inspection description interface when the input completion instruction is detected; analyzing the displayed text information according to a preset diagnosis rule to obtain the diagnosis result, wherein the displayed text information comprises all the currently entered illness state fragment information for illness state description;
and the report making module is used for generating a medical image examination report according to the current diagnosis result, the text information and the image when the report generation instruction is detected.
13. A medical image examination report making device, comprising a processor and a memory;
the memory has stored therein an application executable by the processor for causing the processor to perform the method of producing a medical image examination report as claimed in any one of claims 1 to 11.
14. A computer-readable storage medium having stored therein computer-readable instructions for performing the method of producing a medical image examination report as claimed in any one of claims 1 to 11.
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