CN113113100A - Method and device for making medical image examination report - Google Patents
Method and device for making medical image examination 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: calling an instruction according to the patient information, and acquiring and displaying disease fragments included in the corresponding examination part; when an illness state segment input instruction is detected, loading an input template of a corresponding illness state segment to an image examination description interface; inputting a template to display the attribute and attribute related information of each intelligent unit of the disease segment; when an image inspection description instruction is detected, determining and displaying an attribute value of a corresponding intelligent unit in an input template according to the instruction; when an image acquisition instruction is detected, acquiring and displaying an image of an inspection part; when an input finishing instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the image examination description interface; and when a 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 is especially the making process and device of medical image examination report.
Background
The traditional medical image examination report entry scheme is realized by adopting a mode of cooperation of a doctor and an assistant. In the process of image examination, a doctor informs an assistant of 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 implementing the invention, the inventor finds that the traditional medical image examination report entry scheme has the problems of high cost, easy error, low entry efficiency and the like, and the specific reasons are analyzed as follows:
1. in traditional report preparation scheme, the template that uses when entering image inspection information has the commonality, and the description content that different state of an illness corresponds is different, thus, when carrying out information entry, need be according to the inspection condition of reality, carry out a large amount of increase and delete operations to the information in the template, thereby the work load that leads to inspection information to enter is very big, and complex operation, and then make except carrying out the doctor of image inspection, still need carry out the assistant of entering specially and participate in, the cost of labor that leads to the scheme realization is high, and increased personnel's management degree of difficulty and led to the fact the waste of manpower resources.
2. The making of the medical image examination report depends on the voice interaction between the doctor and the assistant, so that the problem of understanding error is inevitable in the interaction process, and the medical image examination report is easy to generate error; on the other hand, the production efficiency of the medical image examination report is low due to the time overhead of the interaction link.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a method and an apparatus for making a medical image examination report, which can reduce the entry cost and improve the entry accuracy and the entry efficiency.
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
a method for making a medical image examination report comprises the following steps:
calling an instruction according to the patient information, and acquiring and displaying disease fragments included in the corresponding examination part;
when an illness state segment entry instruction is detected, loading an entry template of a corresponding illness state segment to an image examination description interface; the entry template displays the attributes and attribute related information of each intelligent unit of the disease condition segment; the attribute related information comprises attribute value entry 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 inspection part;
when an input completion instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the current image examination description interface;
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 entry template includes:
according to the attribute name or attribute value carried by the image inspection description instruction, inputting prompt information, and determining a corresponding intelligent unit Dn in the input template;
if the image inspection description instruction carries the attribute value of the intelligent unit Dn or the parameter information used 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 inspection description instruction;
if the image inspection description instruction does not carry the attribute value of the intelligent unit Dn and the parameter information used 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;
activating the associated smart unit when the set attribute value has an associated smart unit.
Preferably, the method further comprises:
after the diagnosis result is displayed, if a suggested inquiry instruction is detected, acquiring and displaying preset examination suggestion information associated with the disease condition segment in the image examination description interface;
if a checking suggestion selection instruction is detected, adding the checking suggestion selected by the checking 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:
and judging whether the associated and unregistered illness state segment exists in the illness state segment in the image examination description interface or not before generating the medical image examination report according to a preset examination report generation template, and if so, displaying the associated and unregistered illness state segment on the image examination description interface to obtain the abnormal description information.
Preferably, the method further comprises:
after determining the attribute value of the corresponding intelligent unit in the input template according to the image examination description instruction, if the attribute value has a preset score, calculating or updating the total image examination score corresponding to the text information displayed on the image examination description interface according to the score, and displaying the total image examination score on the image examination description interface.
Preferably, the patient information calling instruction, the illness state segment inputting instruction, the image examination description instruction, the image acquisition instruction, the inputting completion instruction and the report generating instruction are input through voice, a touch screen, a mouse and/or a keyboard;
the method further comprises: and when the instruction input by voice is detected, displaying a corresponding voice recognition result.
Preferably, when the condition segment recording instruction is input through voice, the detection of the condition segment recording instruction comprises:
performing voice recognition on currently input user voice information;
judging whether preset first key information exists in the voice recognition result, and if so, judging that the voice information of the user is the disease condition segment input instruction; the first key information is identification information of disease fragments included in the examination part.
Preferably, when the image inspection description command is input by voice, the detecting of the image inspection description command includes:
performing voice recognition on currently input user voice information;
judging whether preset second key information exists in the voice recognition result, and if so, judging that the user voice information is the image checking description instruction; the second key information belongs to a key information set of an input template in an editing state at present, and the key information set comprises attributes, attribute values, attribute value input prompt information and/or data for calculating the attribute values of the input template.
Preferably, the method further comprises:
displaying information of each intelligent unit in the image inspection description interface in a display mode matched with the current activation state or deactivation state of the intelligent unit; and the display mode corresponding to the activated state is different from the display mode corresponding to the deactivated state.
Preferably, the method further comprises:
setting a strategy according to a preset disease segment in advance, and determining the disease segment included in the examination part;
for each disease condition segment, identifying a description object related to the disease condition segment, and setting the description object as the attribute of the disease condition segment; the description object is the smallest information entity with editable characteristics in the disease 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 entry prompt information, initial state information and/or inspection part attribution information, wherein the initial state is an activated state or a deactivated 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 use frequency is smaller than a preset frequency threshold, setting or adjusting the initial state information to be in a deactivation state, otherwise, setting or adjusting the initial state information to be in an activation 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 calling instructions according to the patient information and acquiring and displaying the disease segments included in the corresponding examination part;
the image examination description module is used for loading an entry template of a corresponding illness state fragment to an image examination description interface when an illness state fragment entry instruction is detected; the entry template displays the attributes and attribute related information of each intelligent unit of the disease condition segment; the attribute related information comprises attribute value entry 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 inspection part;
the diagnosis module is used for generating and displaying a diagnosis result according to the text information displayed on the current image examination description interface when an 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 a report generating 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 an application program executable by the processor for causing the processor to execute the method for 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.
It can be seen from the above technical solutions that, in the method and apparatus for making a medical image examination report according to the embodiments of the present invention, after receiving a patient information call instruction, all preset disease segments included in an examination site of a corresponding patient are displayed, so that a user selects a disease segment that needs to be described in a current examination according to an image examination description requirement, and inputs an instruction according to a disease segment of the user, an input template of the disease segment selected by the user is loaded to a current image examination description interface, and an attribute corresponding to each intelligent unit in the input template and an attribute value input prompt message or a default attribute value are displayed in the image examination description interface, so that based on the input template loaded in the image examination description interface, the user can only set a relevant attribute value in the input template without performing a large amount of information add/delete operations on the input template, the image examination description text of the current examination can be obtained. Therefore, by adopting the method and the device, the standardization of image examination description information input can be realized, the workload of generating the medical image examination report can be greatly reduced, the convenience, the accuracy and the efficiency of generating the medical image examination report are effectively improved, so that an examining doctor can quickly complete the generation of the medical image examination report without assistant cooperation, the labor cost of scheme implementation is effectively reduced, the waste of human resources is avoided, and the management cost is reduced. In addition, the input template of each disease segment is utilized, the standardization of the image examination description text is improved, the generated medical image examination report is favorable for providing accurate and standard treatment data, and accurate and convenient data support is further provided for professional research in the medical field.
Drawings
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an interface for generating an intelligent cell according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating an example of an entry template for displaying a disease segment on an image examination description interface according to the present invention;
FIG. 4 is a graph showing the results of diagnosis according to the embodiment of the present invention;
FIG. 5 is a schematic diagram of an apparatus for generating a medical image examination report according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a schematic flow chart of a method according to an embodiment of the present invention, and as shown in fig. 1, a method for making a medical image examination report implemented by the embodiment mainly includes:
In this step, when the patient information call instruction is detected, the patient condition segment set corresponding to the examination part of the patient indicated by the patient information call instruction is searched from the database and displayed to the user, so that the user can select the patient condition segments required by the current patient condition description from the displayed patient condition segment set, and the current image examination condition is described by using the preset entry templates of the patient condition segments.
It should be noted that, in order to standardize the entry of the image examination description information, in this step, a policy needs to be set in advance according to a preset disease segment, and the disease segment included in the examination part needs to be determined. In clinical application, the skilled person can set the disease segment setting strategy according to actual needs. For example, the disease segment included in the examination site may be determined according to the type of lesion at the examination site. For example, using thyroid, the corresponding set of disease segments can include: the disease segment such as thyroid gland common part, thyroid gland cystic tubercle (mainly cystic), thyroid gland cystic tubercle (mainly solid), thyroid gland solid tubercle and thyroid gland cavernous tubercle, but not limited thereto.
In practical application, the patient information invoking instruction may be a patient calling instruction, so that after a user (i.e., a physician) sends the patient calling instruction, the patient information may be invoked and actively jump to a corresponding report making page, and all disease condition segment information included in a corresponding examination part of the patient is displayed in the page, so as to assist the user in further selecting a required disease condition segment from the corresponding report making page, and loading the input template to 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 an image of the inspection part.
In this step, when an illness state segment entry instruction is detected, a preset entry template corresponding to a corresponding illness state segment is obtained from the database, and attributes and attribute value entry prompt information or default attribute values corresponding to each intelligent unit in the entry template are displayed on a current image examination description interface. Therefore, the user can obtain the image examination description text of the current examination only by setting the attribute value related to the current examination description based on the input template displayed on the image examination description interface and without adding or deleting a large amount of information on the input template, so that the workload of the image examination description can be greatly reduced, a doctor who performs the image examination can independently complete the recording of the image examination condition while performing the examination, the convenience and the efficiency of the image examination description are improved, the labor cost of realizing the scheme is effectively reduced, the waste of human resources is avoided, and the management cost is reduced. In addition, the input template of each disease condition segment is utilized, the standardization of the image examination description text is improved, the generated medical image examination report is favorable for providing accurate and standard treatment data, and accurate and convenient data support can be provided for scientific research in the medical field.
The entry template is constructed based on the intelligent unit sets of the corresponding illness state fragments, and the entry template can display the attributes and attribute related information of the intelligent units of the corresponding illness state fragments. The intelligent unit set of the disease segment can be set by those skilled in the art according to the description information related to the disease segment.
Fig. 3 is a schematic diagram illustrating loading of an entry template of a corresponding disease condition section into an image examination description interface according to a disease condition section entry instruction of a user. As shown in FIG. 3, in the editable area in the middle of the user interface, an entry template for the patient episode selected by the user will be displayed, with the relevant information for each intelligent unit identified by underlining.
In one embodiment, the intelligent unit may be constructed in advance by the following method:
step a1, for a disease segment, identifying the description object related to the disease segment, and setting the description object as the attribute of the disease segment.
The description object is the smallest information entity with editable characteristics in the disease segment. The editable characteristic means that the characteristic of the information entity has editability.
For example, in the image examination, the external shape of the organ is often required to be described, and the external shape usually has a series of feature description words such as "circle", "ellipse", "irregular shape", "pear shape", and the like, so the "external shape" can be set as the attribute of the disease segment, and accordingly, the "circle", "ellipse", "irregular shape", "pear shape", and the like are candidate attribute values of the external shape.
For another example, for the description of the internal structure of the lesion, the "internal echo" may be set as an attribute, and the "inhomogeneous echo", "anechoic region", "spotted echo", and the like may be set as candidate attribute values of the "internal echo".
Therefore, by introducing the preset intelligent unit, the method can avoid a great amount of addition and deletion operations in the traditional scheme when describing different organ shapes, focus internal echoes and the like based on a single examination description template.
In practical applications, the attributes and the candidate attribute values may be set according to specific contents that need to be referred to in the actual image inspection description. For example, the attributes and attribute values of disease segments can be identified from organs (shape, form, part, edge, etc.), lesions (shape, distribution, boundary, envelope, internal structure, echocardiogram description, echogenicity, etc.), proximity of peripheral organs (continuity, pressure, adhesion, infiltration, etc.), data measurement (location, number, range, size, etc. of lesions), color doppler (blood flow signal, doppler signal), etc. Taking the thyroid as an example, intelligent cells as shown in the following table can be constructed:
TABLE 1
Accordingly, based on the intelligent units in table 1, the intelligent unit sets of the disease segments of the thyroid can be set as shown in table 2 below:
TABLE 2
Step a2, generating corresponding intelligent units 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 inspection part attribution information; the initial state is an activated state or a deactivated state.
In order to make the clinical operation more intelligent, when the intelligent unit is generated, the relevance can be accurately identified by setting the relevance information of the intelligent unit, and further, the intellectualization and the accuracy of the image examination description can be realized through the linkage control of the intelligent unit.
In one embodiment, the interface illustrated in FIG. 2 may be used to generate intelligent cells. In fig. 2, in order to improve the generation efficiency 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 low frequency of use may be set to be in a deactivated state according to the frequency of use of the intelligent unit, so that a user may be in an invalid state (i.e., in a deactivated state) all the time during image examination description if the user does not perform an attribute value setting operation on the intelligent unit, and thus, the user may not be presented in a final medical image examination and may not be printed. The following method can be specifically adopted to achieve the purpose:
setting or adjusting initial state information of the intelligent unit according to the use frequency of the intelligent unit; and if the use frequency is smaller than a preset frequency threshold, setting or adjusting the initial state information to be in a deactivation state, otherwise, setting or adjusting the initial state information to be in an activation state.
In an embodiment, in step 102, when the image inspection description instruction is detected, the following method may be specifically adopted to determine the attribute value of the corresponding intelligent unit in the entry template according to the image inspection description instruction:
b1, according to the attribute name or attribute value input prompt information carried by the image examination description instruction, determining the corresponding intelligent unit D in the input templaten。
Step b2, if the image inspection description instruction carries the intelligent unit DnOr for determining said intelligent cell DnAccording to the image inspection description command, determining the intelligent unit D in the input templatenThe attribute value of (2);
if the image inspection description instruction does not carry the intelligent unit DnAnd for determining said intelligent cell DnThe parameter information of the attribute value of (2), then the intelligent unit D is displayednAccording to the attribute value selected by the user from the candidate attribute value set, the intelligent unit D is determinednThe attribute value of (2).
Here, the image inspection description command does not carry the intelligent unit DnAnd for determining said intelligent cell DnThe parameter information of the attribute value of (D) means that the image inspection description command does not carry the intelligent unit DnDoes not carry an attribute value for determining the intelligent cell DnWhen the attribute values of the intelligent units D are not in the image inspection description command, the intelligent units D need to be displayednThe candidate attribute value set is used for the user to quickly select the attribute value matched with the current check from the candidate attribute value set, so that the information input by the user can be reduced, and the convenience of user operation can be improved.
Step b3, when the set attribute value has an associated smart cell, activating the associated smart cell.
The method is used for realizing linkage control of the intelligent units with the association relation. For example: for "catheter", the candidate attribute values are: neither expansion nor dilation was seen.
When the expansion is selected, the inner diameter of the intelligent unit associated with the expansion is activated, the attribute value of the inner diameter of the intelligent unit needs to be set, and further, in order to remind a user of setting the expansion, the intelligent unit corresponding to the inner diameter can be displayed in a highlight reminding mode.
When "no expansion is seen" is selected, the "inner diameter" of the intelligent unit may be in a deactivated display state, at which time the "inner diameter" of the intelligent unit may not appear in a subsequently generated medical image examination report.
Preferably, in order to increase the simplicity of the image inspection description text, after the attribute value of the corresponding intelligent unit is determined according to the image inspection description instruction, the determined attribute value may be displayed in the current image inspection description interface in place of the attribute-related information of the corresponding attribute, or may be filled to a preset position in the attribute-related information of the corresponding attribute.
In one embodiment, in order to differently display the activation/deactivation states of each intelligent unit in the image examination description interface to remind a user, different display modes may be selected according to the activation/deactivation states, and the specific method includes:
and displaying the information of each intelligent unit in the image examination description interface in a display mode matched with the current activation state or deactivation state of the intelligent unit.
And when the intelligent unit is in the deactivation state, the intelligent unit can not be positioned by a user.
For example, when the smart unit is in the deactivated state, gray display may be used, and when the smart unit is in the activated state, black display may be used, for example, different underlines and/or colors may be used to differently display the smart units in different states, but the invention is not limited to the above.
In an embodiment, in the process of performing the 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 examination description instruction, if the attribute value has a preset score, calculating or updating the image examination total score corresponding to the text information displayed on the image examination description interface according to the score, and displaying the image examination total score on the image examination description interface.
In order to improve the convenience of inputting the image inspection description information, the instruction in step 102 may be input in a voice input manner.
In one embodiment, when the condition segment recording instruction is input by voice, the following method can be adopted to detect the condition segment recording instruction:
performing voice recognition on currently input user voice information;
judging whether preset first key information exists in the voice recognition result, and if so, judging that the voice information of the user is the disease condition segment input instruction; the first key information is identification information of disease fragments included in the examination part.
Further, in order to improve the instruction input efficiency, when the illness state segment input instruction is voice input, the corresponding illness state segment name can be carried.
In one embodiment, when the video inspection description command is input by voice, the following method may be adopted to detect the video inspection description command:
performing voice recognition on currently input user voice information;
judging whether preset second key information exists in the voice recognition result, and if so, judging that the user voice information is the image checking description instruction; the second key information belongs to a key information set of an input template in an editing state at present, and the key information set comprises attributes, attribute values, attribute value input prompt information and/or data for calculating the attribute values of the input template.
And 103, when an entry completion instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the current image examination description interface.
The step is used for generating a corresponding diagnosis result based on all currently input illness state fragment information according to a user instruction. Specifically, the displayed disease segment information may be analyzed according to a preset diagnosis rule to obtain the diagnosis result. Here, since the disease segment information for the 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 is a schematic diagram of the diagnosis result, and as shown in fig. 4, based on the text information in the current image examination description interface, a diagnosis result of "left page lower side multiple solid nodules" will be obtained.
Further, in order to improve the accuracy of the diagnosis result, the user can directly perform addition and deletion operations on the currently output diagnosis result according to needs. In order to improve the convenience of revision of the user and reduce the amount of input information, relevant 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 inquiry instruction is detected, acquiring and displaying preset examination suggestion information associated with the disease condition segment in the image examination description interface;
if a checking suggestion selection instruction is detected, adding the checking suggestion selected by the checking 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 step 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 one embodiment, in order to ensure the integrity of the medical image examination report, the relevance between the patient condition segments may be set in advance according to the diagnosis requirement, and the linkage control between the patient condition segments may be performed based on the relevance in the process of performing the image examination description. After a doctor describes disease segments with pathological changes in clinic, whether relevant necessary disease segments without loading exist is searched, and descriptions of the disease segments without abnormalities are added to an image examination description interface, which can be realized by the following method:
and judging whether the associated and unregistered disease segment exists in the disease segment in the image examination description interface or not before generating the medical image examination report according to a preset examination report generation template, and if so, displaying that the associated and unregistered disease segment is not abnormal on the image examination description interface.
In an embodiment, the patient information invoking instruction, the illness state segment inputting instruction, the image examination description instruction, the image acquisition instruction, the inputting completion instruction and the report generating instruction may be input through a mouse and/or a keyboard.
In one embodiment, in order to increase flexibility and convenience of instruction input and improve generation efficiency of a medical image examination report, the patient information calling instruction, the illness state segment inputting instruction, the image examination description instruction, the image acquisition instruction, the inputting completion instruction and the report generation instruction can be input through voice and/or a touch screen.
Further, when the instruction is a voice instruction, in order to ensure correct execution of the voice instruction and avoid erroneous operation caused by voice recognition errors, when the voice instruction is detected, a corresponding voice recognition result is displayed, so that the 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 structurally processed in advance, a plurality of disease condition sections are constructed for the examination description of each examination part, a corresponding entry template is configured for each disease condition section, the attributes and attribute related information of each intelligent unit of the disease condition section are displayed in the entry template, and when the examination description text is entered, a user only needs to set the attribute values of the attributes in the template. Therefore, based on preset structured data, the standardization of image examination description information input is realized, the workload of generating medical image examination reports can be greatly reduced, the convenience, the accuracy and the efficiency of generating the medical image examination reports are effectively improved, the labor cost of scheme implementation is effectively reduced, the waste of human resources is avoided, and the management cost is reduced. In addition, the input template of each disease segment is utilized, the standardization of the image examination description text is improved, the generated medical image examination report is favorable for providing accurate and standard treatment data, and accurate and convenient data support is further provided for professional research in the medical field.
The medical imaging examination in the present application refers to all medical examinations related to image information, and may be, for example, an ultrasound examination, an MRI examination, a CT examination, a DR examination, an endoscopic examination, a pathological examination, or the like, but is not limited thereto.
Corresponding to the above method embodiment, the present application also discloses a device for making medical image examination report, as shown in fig. 5, the device includes:
the disease segment acquiring module 501 is configured to invoke an instruction according to the patient information, and acquire and display a disease segment included in a corresponding examination part;
the image examination description module 502 is configured to, when an illness state segment entry instruction is detected, load an entry template of a corresponding illness state segment to an image examination description interface; the entry template displays the attributes and attribute related information of each intelligent unit of the disease condition segment; the attribute related information comprises attribute value entry 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 inspection part;
the diagnosis module 503 is configured to generate and display a diagnosis result according to the text information displayed on the current image examination description interface when an entry completion instruction is detected;
a report generation module 504, configured to generate a medical image examination report according to the current diagnosis result, the text information, and the image when a report generation instruction is detected.
Corresponding to the above method embodiment, the embodiment of the present application further discloses a device for making a medical image examination report, which includes: a processor and a memory; wherein the memory stores an application program executable by the processor for causing the processor to execute the method for making a medical image examination report as described in any one of the above.
The memory may be embodied as various storage media such as an Electrically Erasable Programmable Read Only Memory (EEPROM), a Flash memory (Flash memory), and a Programmable Read Only Memory (PROM). The processor may be implemented to include one or more central processors or one or more field programmable gate arrays, wherein 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 steps and modules in the above flows and structures are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The division of each module is only for convenience of describing adopted functional division, and in actual implementation, one module may be divided into multiple modules, and the functions of multiple modules may also be implemented by the same module, and these modules may be located in the same device or in different devices.
The hardware modules in the various embodiments may be implemented mechanically or electronically. For example, a hardware module may include a specially designed permanent circuit or logic device (e.g., a special purpose processor such as an FPGA or ASIC) for performing specific operations. A hardware module may also include programmable logic devices or circuits (e.g., including a general-purpose processor or other programmable processor) that are temporarily configured by software to perform certain operations. The implementation of the hardware module in a mechanical manner, or in a dedicated permanent circuit, or in a temporarily configured circuit (e.g., configured by software), may be determined based on 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 an apparatus equipped with a storage medium on which a software program code that realizes the functions of any of the embodiments described above is stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program code stored in the storage medium. Further, part or all of the actual operations may be performed by an operating system or the like operating on the computer by instructions based on the program code. The functions of any of the above-described embodiments may also be implemented by writing the program code read out from the storage medium to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causing a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on the instructions of the program code.
Examples of the storage medium for supplying the 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, nonvolatile memory cards, and ROMs. Alternatively, the program code may be downloaded from a server computer or the cloud by a communication network.
"exemplary" means "serving as an example, instance, or illustration" herein, and any illustration, embodiment, or steps described as "exemplary" herein should not be construed as a preferred or advantageous alternative. For the sake of simplicity, the drawings are only schematic representations of the parts relevant to the invention, and do not represent the actual structure of the product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "a" does not mean that the number of the relevant portions of the present invention is limited to "only one", and "a" does not mean that the number of the relevant portions of the present invention "more than one" is excluded. In this document, "upper", "lower", "front", "rear", "left", "right", "inner", "outer", and the like are used only to indicate relative positional relationships between relevant portions, and do not limit absolute positions of the relevant portions.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (14)
1. A method for making a medical image examination report, comprising:
calling an instruction according to the patient information, and acquiring and displaying disease fragments included in the corresponding examination part;
when an illness state segment entry instruction is detected, loading an entry template of a corresponding illness state segment to an image examination description interface; the entry template displays the attributes and attribute related information of each intelligent unit of the disease condition segment; the attribute related information comprises attribute value entry 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 inspection part;
when an input completion instruction is detected, generating and displaying a diagnosis result according to the text information displayed on the current image examination description interface;
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 the determining, according to the image inspection description command, the attribute value of the corresponding intelligent unit in the entry template comprises:
according to the attribute name or attribute value carried by the image inspection description instruction, inputting prompt information, and determining a corresponding intelligent unit D in the input templaten；
If the image inspection description instruction carries the intelligent unit DnOr for determining said intelligent cell DnAccording to the image inspection description command, determining the intelligent unit D in the input templatenThe attribute value of (2);
if the image inspection description instruction does not carry the intelligent unit DnAnd for determining said intelligent cell DnThe parameter information of the attribute value of (2), then the intelligent unit D is displayednAccording to the attribute value selected by the user from the candidate attribute value set, the intelligent unit D is determinednThe attribute value of (2);
activating the associated smart unit when the set attribute value has an associated smart unit.
3. The method of claim 2, further comprising:
after the diagnosis result is displayed, if a suggested inquiry instruction is detected, acquiring and displaying preset examination suggestion information associated with the disease condition segment in the image examination description interface;
if a checking suggestion selection instruction is detected, adding the checking suggestion selected by the checking 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 image examination report based on the current diagnosis, the textual information, and the image further comprises:
and judging whether the associated and unregistered disease segment exists in the disease segment in the image examination description interface or not before generating the medical image examination report according to a preset examination report generation template, and if so, displaying that the associated and unregistered disease segment is not abnormal on the image examination description interface.
5. The method of claim 1, further comprising:
after determining the attribute value of the corresponding intelligent unit in the input template according to the image examination description instruction, if the attribute value has a preset score, calculating or updating the total image examination score corresponding to the text information displayed on the image examination description interface according to the score, and displaying the total image examination score on the image examination description interface.
6. The method according to claim 1, wherein the patient information call instruction, the illness state segment entry instruction, the image examination description instruction, the image acquisition instruction, the entry 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 by voice is detected, displaying a corresponding voice recognition result.
7. The method according to claim 1, wherein when the condition segment entry instruction is input by voice, the detection of the condition segment entry instruction comprises:
performing voice recognition on currently input user voice information;
judging whether preset first key information exists in the voice recognition result, and if so, judging that the voice information of the user is the disease condition segment input instruction; the first key information is identification information of disease fragments included in the examination part.
8. The method of claim 1, wherein when the visual inspection description command is input by voice, the detecting of the visual inspection description command comprises:
performing voice recognition on currently input user voice information;
judging whether preset second key information exists in the voice recognition result, and if so, judging that the user voice information is the image checking description instruction; the second key information belongs to a key information set of an input template in an editing state at present, and the key information set comprises attributes, attribute values, attribute value input prompt information and/or data for calculating the attribute values of the input template.
9. The method of claim 1, further comprising:
displaying information of each intelligent unit in the image inspection description interface in a display mode matched with the current activation state or deactivation state of the intelligent unit; and the display mode corresponding to the activated state is different from the display mode corresponding to the deactivated state.
10. The method of claim 1, further comprising:
setting a strategy according to a preset disease segment in advance, and determining the disease segment included in the examination part;
for each disease condition segment, identifying a description object related to the disease condition segment, and setting the description object as the attribute of the disease condition segment; the description object is the smallest information entity with editable characteristics in the disease 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 entry prompt information, initial state information and/or inspection part attribution information, wherein the initial state is an activated state or a deactivated state.
11. The method of claim 10, further comprising:
setting or adjusting initial state information of the intelligent unit according to the use frequency of the intelligent unit; and if the use frequency is smaller than a preset frequency threshold, setting or adjusting the initial state information to be in a deactivation state, otherwise, setting or adjusting the initial state information to be in an activation state.
12. An apparatus for creating a medical image examination report, comprising:
the disease segment acquisition module is used for calling instructions according to the patient information and acquiring and displaying the disease segments included in the corresponding examination part;
the image examination description module is used for loading an entry template of a corresponding illness state fragment to an image examination description interface when an illness state fragment entry instruction is detected; the entry template displays the attributes and attribute related information of each intelligent unit of the disease condition segment; the attribute related information comprises attribute value entry 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 inspection part;
the diagnosis module is used for generating and displaying a diagnosis result according to the text information displayed on the current image examination description interface when an 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 a report generating instruction is detected.
13. An apparatus for making medical image examination reports, comprising a processor and a memory;
the memory stores an application program executable by the processor for causing the processor to execute the method of making a medical image examination report according to any one of claims 1 to 11.
14. A computer-readable storage medium having computer-readable instructions stored therein for performing the method of making a medical image examination report according to any one of claims 1 to 11.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110956682A (en) * | 2019-11-26 | 2020-04-03 | 上海秒针网络科技有限公司 | Inspection result generation method and device |
| CN115862831A (en) * | 2023-03-02 | 2023-03-28 | 山东远程分子互联网医院有限公司 | Intelligent online appointment diagnosis and treatment management system and method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108319605A (en) * | 2017-01-16 | 2018-07-24 | 医渡云（北京）技术有限公司 | The structuring processing method and system of medical examination data |
| CN109767820A (en) * | 2018-05-29 | 2019-05-17 | 深圳市智影医疗科技有限公司 | A kind of diagnosis based on image/examining report generation method, device and equipment |
| CN111048170A (en) * | 2019-12-23 | 2020-04-21 | 山东大学齐鲁医院 | Digestive endoscopy structured diagnosis report generation method and system based on image recognition |
| CN111292821A (en) * | 2020-01-21 | 2020-06-16 | 上海联影智能医疗科技有限公司 | Medical diagnosis and treatment system |
| CN111613220A (en) * | 2020-05-19 | 2020-09-01 | 浙江省人民医院 | Pathological information registration and input device and method based on voice recognition interaction |
| CN111667897A (en) * | 2020-04-24 | 2020-09-15 | 杭州深睿博联科技有限公司 | Structured report system of image diagnosis result |
| CN112614563A (en) * | 2020-12-28 | 2021-04-06 | 北京赛迈特锐医疗科技有限公司 | System and method for dynamically generating structured report in image diagnosis service |
-
2021
- 2021-04-09 CN CN202110382625.9A patent/CN113113100B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108319605A (en) * | 2017-01-16 | 2018-07-24 | 医渡云（北京）技术有限公司 | The structuring processing method and system of medical examination data |
| CN109767820A (en) * | 2018-05-29 | 2019-05-17 | 深圳市智影医疗科技有限公司 | A kind of diagnosis based on image/examining report generation method, device and equipment |
| CN111048170A (en) * | 2019-12-23 | 2020-04-21 | 山东大学齐鲁医院 | Digestive endoscopy structured diagnosis report generation method and system based on image recognition |
| CN111292821A (en) * | 2020-01-21 | 2020-06-16 | 上海联影智能医疗科技有限公司 | Medical diagnosis and treatment system |
| CN111667897A (en) * | 2020-04-24 | 2020-09-15 | 杭州深睿博联科技有限公司 | Structured report system of image diagnosis result |
| CN111613220A (en) * | 2020-05-19 | 2020-09-01 | 浙江省人民医院 | Pathological information registration and input device and method based on voice recognition interaction |
| CN112614563A (en) * | 2020-12-28 | 2021-04-06 | 北京赛迈特锐医疗科技有限公司 | System and method for dynamically generating structured report in image diagnosis service |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110956682A (en) * | 2019-11-26 | 2020-04-03 | 上海秒针网络科技有限公司 | Inspection result generation method and device |
| CN110956682B (en) * | 2019-11-26 | 2024-04-12 | 上海明胜品智人工智能科技有限公司 | Inspection result generation method and device |
| CN115862831A (en) * | 2023-03-02 | 2023-03-28 | 山东远程分子互联网医院有限公司 | Intelligent online appointment diagnosis and treatment management system and method |
| CN115862831B (en) * | 2023-03-02 | 2023-05-12 | 山东远程分子互联网医院有限公司 | Intelligent online reservation diagnosis and treatment management system and method |
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|---|---|
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