KR20220112610A - Method for inputting result of eyeseight test and system performing the same - Google Patents

Abstract

Embodiments relate to an eye test input method and a system performing the same. The method may include the steps of: selecting test items and test properties used in an eye test for a target patient; obtaining measurement data of the target patient through an input UI including the selected test item; generating eye test detail information including test items, test attributes, and measured values of the target patient; and providing at least some information of the eye test detail information when receiving a request for providing an eye test result for the target patient.

Description

A method for inputting the results of an eye exam and a system for performing the same

Embodiments of the present invention relate to a technique for inputting an eye examination result, and more particularly, by recording data of an item in the examination result as data of a data item matching the item, automatically generating data of a patient's eye examination result It relates to a method for inputting an eye test result that can be performed and a system for performing the same.

Visual acuity is measured through a process of confirming a target of a minimum index that can be identified by a patient by repeating a process in which a medical staff or the like uses a vision tool (eg, a visual acuity table, etc.) to identify a target to the patient. In the visual acuity measurement process, the visual acuity of each of the right and left eyes should be measured. If necessary, visual acuity may be measured while looking at both eyes.

On the other hand, visual acuity refers to uncorrected visual acuity that is measured without refractive error correction, corrected visual acuity or overt visual acuity measured with one's glasses or contact lenses corrected, and maximum corrected visual acuity obtained by maximally correcting refractive error. It is classified into various types of visual acuity such as , pinhole corrected visual acuity using pinhole. In addition, according to the measurement method, it is classified into Snellen visual acuity, ETDRS visual acuity, and the like.

As described above, the results of the visual acuity measurement have been handwritten with various types of visual acuity and various measurement methods. Recently, as electronic medical records have become popular and the measured visual acuity is input and organized in the electronic medical record, many difficulties and problems occur in the process of inputting the results of hand-recorded visual acuity measurements.

Specifically, errors and omissions in the inspection results that occur during the input process may occur. In addition, the input format for entering into the electronic medical record was not standardized. As a result, disparity delays and input errors of visual acuity measurements frequently occur in outpatient clinics, and input data are discarded without value as test result data. is required

Patent Publication No. 10-2015-0110475 (2015.10.02.)

According to one aspect of the present invention, it is possible to provide a system for storing and managing a patient's vision test results with standardized names and test attributes.

In addition to this, a method for inputting the results of an eye examination performed by the processor and a computer-readable recording medium recording instructions for performing the method may be provided.

An eye test result input method according to an aspect of the present invention includes a processor; and a computing device including a memory. The method for inputting the results of the eye examination may include: selecting an examination item and examination attribute used in an eye examination for a target patient; obtaining a measurement value for the target patient through an input UI including a selected examination item, wherein the selected examination attribute is related to the measurement value; generating eye examination history information including examination items, examination attributes, and measurement values of the target patient; and when receiving a request to provide the vision test result for the target patient, providing at least some information of the vision test history information.

In an embodiment, the plurality of examination attributes are subseted by attribute categories, and the attribute categories may include one or more of a notation scheme, an optometry type, an acuity type, and an acuity unit. Here, the type of vision measurement includes at least one of far and near, and the type of vision includes at least one of naked vision, corrected vision, maximum corrected vision, and pinhole corrected visual acuity, the method includes at least one of a Snellin format, a decimal format, and a logMAR format.

In an embodiment, the generating of the eye examination history information of the target patient may include: using a transformation model, converting a measurement value of the selected notation method into a measurement value of another notation method having a mapping relationship with the measurement value; and generating visual acuity test history information further based on the measurement value of the other notation method.

In an embodiment, in the step of providing at least a part of the information on the vision test history, when the request for providing the vision test result includes a request for providing a measurement value expressed in a different notation than the selected notation, there is a mapping relationship. It is also possible to provide converted measurements in the different notation schemes described above.

In an embodiment, the method for inputting the results of the eye examination may further include obtaining a measurement date of the results of the eye examination. Here, the vision test history information of the target patient is further generated based on the measurement date.

In an embodiment, the method for inputting the results of the eye examination may further include receiving data of the results of the eye examination from the examination equipment. Here, the examination items and examination properties used in the vision examination for the target patient are selected based on the examination items of the equipment interface.

The system according to an aspect of the present invention can manage the data in a standardized format by quickly and accurately inputting the results of the visual acuity test. In addition, the results of the eye examination in a standardized format may be provided to an external system. As a result, the amount of work related to vision measurement can be quantified in the electronic medical record system, and the convenience of data management in the electronic medical record system can be promoted.

In addition, if a transformation model performing standardization of this type is used, the system may be utilized to generate data for research from a vision-related document in addition to generating standardized data of the results of an eye examination.

The effects of the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

In order to more clearly explain the technical solutions of the embodiments of the present invention or the prior art, drawings necessary for the description of the embodiments are briefly introduced below. It should be understood that the drawings below are for the purpose of explaining the embodiments of the present specification and not for the purpose of limitation. In addition, some elements to which various modifications such as exaggeration and omission have been applied may be illustrated in the drawings below for clarity of description.
1 is a conceptual block diagram of a system, according to an embodiment of the present invention.
2 is a flowchart of a method for inputting an eye test result according to an embodiment of the present invention.
3 is a flowchart of a method for inputting an eye test result according to another embodiment of the present invention.

The terminology used herein is for the purpose of referring to specific embodiments only, and is not intended to limit the invention. As used herein, the singular forms also include the plural forms unless the phrases clearly indicate the opposite. As used herein, the meaning of "comprising" specifies a particular characteristic, region, integer, step, operation, element and/or component, and the presence or absence of another characteristic, region, integer, step, operation, element and/or component. It does not exclude additions.

Although not defined otherwise, all terms including technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention belongs. Commonly used terms defined in the dictionary are additionally interpreted as having a meaning consistent with the related art literature and the presently disclosed content, and unless defined, are not interpreted in an ideal or very formal meaning.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 is a conceptual block diagram of a system, according to an embodiment of the present invention.

Referring to FIG. 1 , the system 1 includes a patient profile store 110 , an item store 130 , a model store 120 , and a data generator 300 , which are implemented as a memory and/or a processor. . The data generating unit 300 may be configured to receive data from the inspection equipment 10 or transmit data to the inspection equipment 10 . In some embodiments, the system 1 may further include a model generator 200 that generates a transformation model.

The system 1 according to embodiments may have an aspect that is entirely hardware, entirely software, or partly hardware and partly software. For example, the system may collectively refer to hardware equipped with data processing capability and operating software for driving the same. As used herein, terms such as “unit,” “module,” “device,” or “system” are intended to refer to a combination of hardware and software run by the hardware. For example, the hardware may be a data processing device including a central processing unit (CPU), a graphic processing unit (GPU), or another processor. In addition, software may refer to a running process, an object, an executable file, a thread of execution, a program, and the like.

The test device 10 is a device for examining a physical function related to eyesight, and measures the evaluation result as a measurement value for the test item. In one embodiment, the inspection equipment 10 may be an automatic refraction inspection equipment (10). Then, vision test result data based on the equipment interface of the automatic refraction test equipment 10 is generated. The test equipment 10 may transmit the eye test result data to another component of the system 1 (eg, the data generating unit 300 ).

A patient in system 1 is associated with a patient profile stored in the patient profile repository 110 . The patient profile contains descriptive information about the patient that has been explicitly shared by the user. It may also include information generated by System1.

In one embodiment, the patient profile includes multiple data fields, each describing one or more profile attributes. The information stored in the patient profile may include, for example, gender, age, identifier, measurement date, test equipment, data item, and/or measurement value.

The patient profile may include eye examination history information generated based on the results of the eye examination. In this case, the data items and measurement values of the vision test history information are included in the patient profile.

The item storage 130 stores attribute information (hereinafter referred to as examination attributes) for describing examination items used for an eye examination. The test items of System 1 are related to the purpose or function of the vision test for the patient. The inspection attribute includes an object indicating an inspection item or descriptive information about the object. The item storage 130 may store attribute information of an item including, for example, an item name, an item identifier, an item code, an item identifier, an item description, an item category, an item list, an item unit, and the like.

The plurality of examination items stored in the item storage 130 include items that have been conventionally used for eye examination. At least some of the plurality of examination items may belong to various eye examination related terminology systems.

Inspection items may be defined by a standard terminology system designated by a user. The standard terminology system is a terminology system in which vision test-related terms used in existing medical records are properly arranged and modified (normalization) and mapped with a medical terminology system suitable for term standardization. The standard terminology system may consist of various standardized codes (Systematized Nomenclature of Medicine (SNOMED), LOINC, etc.) used in the medical field. Test items of the standard terminology are assigned a designated name or identifier, or a name and/or identifier of an existing eye examination-related terminology (eg, a conventional examination code), respectively, or a name and/or of an existing eye examination-related terminology Data made on the basis of the identifier is assigned.

For clarity of description below, the check item may be used interchangeably with the item name or item identifier. For example, an inspection item and an inspection attribute thereof refer to an item name and other attribute information (eg, a notation method, etc.) other than the item name.

The plurality of inspection attributes may be classified into a plurality of attribute categories. The category includes at least one of a display method of the test result, a type of visual acuity measurement, a type of visual acuity, and a visual acuity unit.

The notation method is a method of marking the test results obtained by performing an eye test on a patient. As the test result, the measured value may be expressed in, for example, a Snellin method, a decimal method, a logMAR method, or a jaeger method.

The Snellen method expresses the measurement for a test item as, for example, 20/400, 20/100, 20/80, 20/60, 20/40, 20/30, 20/20, and/or 20/15. may be

Measurement results of the same inspection item may be marked with different values depending on the marking method. The decimal method may include a method expressed in a decimal scale (decimal method) or a method expressed in another scale. The decimal system represented by the other scale may include, for example, an integer system.

The Snellen method may include a fractional method (unit: feet) or a fractional method (unit: meters). Here, the fractional method (unit: feet) is a notation method of the visual acuity table in which 20 feet is the examination distance, and is mainly used in the United States. Fractional method (unit: meter) is a method of marking the visual acuity table where 4 meters is the inspection distance, and is mainly used in Europe. The Jaeger method is a marking method of the near vision table, and may correspond to some items (eg, short-range examination items) of other marking methods.

The item storage 130 may store a notation scheme including one or more of a Snellin scheme, a decimal scheme, and a logMAR scheme.

The types of optometry stored in the item storage 130 may include, for example, one or more of far and near. System 1 may record the test results of distant and/or near-related items as a type of patient's vision measurement.

The visual acuity types stored in the item storage 130 may include, for example, one or more of naked visual acuity, corrected visual acuity, maximum corrected visual acuity, and pinhole corrected visual acuity. System 1 may record test results of items related to naked eye, corrected visual acuity, maximum corrected visual acuity and/or pinhole corrected visual acuity as the patient's visual acuity type.

In certain embodiments, the plurality of examination items may be subseted into an examination list. The test list may include one or more of a Snellen list, an ETDRS list, a refraction test list, and an eyeglass test list. For example, some of the plurality of test items stored in the item storage 130 may be classified into a Snellen list, another part into an ETDRS list, another part into a refractive test list, and a remaining part into a glasses test list.

The Snellen list consists of the examination items required for an eye exam using the Snellen chart. In one embodiment, the Snellen list includes right eye unsightly vision; left eye unsightly vision; binocular unsightly vision; pinhole right eye open vision; pinhole left eye unsightly vision; pinhole binocular unsightly vision; right eye corrected visual acuity; left eye corrected visual acuity; binocular corrected vision; Corrected visual acuity in pinhole right eye; pinhole left eye corrected visual acuity; pinhole corrected visual acuity; maximal corrected visual acuity in the right eye; left eye maximal corrected visual acuity; binocular maximal corrected visual acuity; pinhole right eye maximal corrected visual acuity; pinhole left eye maximal corrected visual acuity; and pinhole binocular maximal corrected visual acuity.

The ETDRS list consists of items required for an eye exam using the Early Treatment Diabetic Retinopathy Study Letters (ETDRS) chart. In one embodiment, the ETDRS list includes right eye unsightly vision; left eye unsightly vision; binocular unsightly vision; pinhole right eye open vision; pinhole left eye unsightly vision; pinhole binocular unsightly vision; right eye corrected visual acuity; left eye corrected visual acuity; binocular corrected vision; Corrected visual acuity in pinhole right eye; pinhole left eye corrected visual acuity; pinhole corrected visual acuity; maximal corrected visual acuity in the right eye; left eye maximal corrected visual acuity; binocular maximal corrected visual acuity; pinhole right eye maximal corrected visual acuity; pinhole naked eye maximal corrected visual acuity; and pinhole binocular maximum corrected visual acuity. In addition, the ETDRS list may further include count finger (CF), hand motion (HM), light perception (LP), and no light perception (NLP).

In addition, the check list may include a plurality of sub-lists. In one embodiment, the refraction checklist may include an Autorefractor list and/or an objective refraction list.

The automatic refractor list is a sub-list consisting of inspection items used in the automatic refractor. The automatic refraction tester list includes items output by the automatic refraction tester that performs a refraction test operation such as the refractive value and power of the eye and/or a corneal curvature measurement operation such as the corneal curvature of the eye.

In one embodiment, the automatic refractor list includes left eye spherical refractive error; left eye circumferential refractive error; left eye astigmatism; right eye spherical refractive error; right eye circumferential refractive error; right eye astigmatism; left eye spherical refractive error; left eye circumferential refractive error; and a left eye astigmatism axis.

In addition, the objective test list is right eye spherical refractive error; right eye circumferential refractive error; right eye astigmatism; left eye spherical refractive error; left eye circumferential refractive error; and a left eye astigmatism axis.

The eyeglasses examination list is an examination item that is measured in the condition of the eyeglasses worn by the patient. The inspection items of the glasses inspection list may be used to manufacture glasses. In an embodiment, the eyeglasses examination list may include a distance eyeglass list and/or a near eyeglass list.

The list of distance glasses is a right eye spherical lens power; left eye spherical lens power; right eye circumferential lens power; left eye circumferential lens power; right eye astigmatism; left eye astigmatism; and a pupillary distance.

The short-distance glasses list is a right eye spherical lens power; left eye spherical lens power; right eye circumferential lens power; left eye circumferential lens power; right eye astigmatism; left eye astigmatism; and interpupillary distance; It may include one or more of

In certain embodiments, the notation scheme may be associated with an inspection item. For example, a subset of inspection items may be associated with a particular notation scheme.

In one embodiment, the Snellen scheme relates to some or all of the test items included in the Snellen inventory. In addition, the logMAR method relates to some or all of the inspection items included in the ETDRS list. In addition, the decimal system is related to of the test items included in the index test list or the spectacle test list.

System 1 generates examination result history information of the target patient based on the information stored in the item storage 130 and the input to the target patient. In certain embodiments, the system 1 generates examination result history information of the target patient by using the transformation model stored in the model storage 120 and the input for the target patient. The transformation model is generated based on information stored in the item storage 130 . In an embodiment, the transformation model stored in the model storage 120 may be generated by the model generator 200 .

The model generator 200 generates a transformation model based on the mapping relationship. The mapping relationship relates different inspection properties that can be interchangeably converted for the same inspection item.

In an embodiment, the model generator 200 may generate a transformation model by relating different notation methods. For example, the model generator 200 specifies a mapping relationship in a Snellen method (eg, a fractional method (feet), a fractional method (meter)), a decimal method (eg, a decimal method), and a logMAR method to transform a model can also create

The transformation model may be generated by designating a mapping relationship between a notation range of one notation method and/or a notation value of another notation method. For example, the transformation model may be formed of a mapping relationship between a notation range and/or a notation value of each notation scheme represented in Table 1. In Table 1, notation values and/or notation ranges located in the same row are mapped to each other.

Here, the decimal method has a notation range consisting of more than the lower limit value of the cell and less than the upper limit value. For example, a cell of 0.1to0.125 in decimal format indicates a notation range consisting of 0.1 or more and less than 0.125.

On the other hand, a value expressed as 2.0 in the decimal method includes measured values of 2.0 or more.

In addition, the logMAR method has a notation range consisting of more than the lower limit value of the cell and less than the upper limit value. For example, a cell of +1.0to+0.9 in the logMAR method indicates a notation range consisting of greater than +0.9 and less than or equal to +1.0.

On the other hand, a value expressed as -0.3 in the logMAR method includes a measured value greater than -0.3.

Therefore, a measurement in the range of 0.1 or more and less than 0.125 under the decimal method has a mapping relationship with a value greater than 0.9 and less than or equal to 1.0 under the logMAR method.

It will be apparent to those skilled in the art that the transformation model of the present invention is not limited to the values and ranges in Table 1 above. For example, the system 1 may acquire attribute values of different notation types in a mapping relationship by using a transformation model expressed in Table 2 below.

The data generating unit 300 is configured to receive measurement values for one or more input items that the user wants to input, and to generate eye examination history data of the target patient including the measurement values.

The operation of the data generating unit 300 will be described in more detail with reference to FIG. 2 and the like below.

2 is a flowchart of a method for inputting an eye test result according to an embodiment of the present invention.

Referring to FIG. 2 , the method for inputting the results of an eye exam performed by the processor (eg, the data generating unit 300 ) of the system 1 includes: a method related to the eye examination of a target patient among a plurality of examination items stored in the item storage 130 . and selecting an inspection item and inspection attribute (S210). In step S210, examination items used in the eye examination are selected, and the selected examination items are used as data items of eye examination history information in which the results of the eye examination for the target patient are recorded.

As stored candidate input items, some or all of the test items for the measurement values obtained by using the test equipment 10 among the plurality of test items may be selected as input items (S210).

Also, step S210 may include selecting the inspection attribute of the data item. For example, the name attribute of the test item used for the vision test is selected as the data item ( S210 ). In addition, other test attributes describing the selected test item (eg, item list, notation method, visual acuity measurement type, visual acuity type, visual acuity unit, etc.) may be further selected as test attributes of the data item ( S210 ).

In an embodiment, step S210 may include providing a setting user interface (UI) for selection of examination properties. The setting UI may provide an environment for inducing an input for selection of an inspection property. The data generating unit 300 sets the attribute to describe the vision test according to the user input input through the setting UI (S210).

The method for inputting the results of the visual acuity test includes: acquiring measurement data for the data item selected in step S210 (S230). The measurement data of step S230 is related to the test attribute selected in step S210. That is, the measured value indicated by the measured value data is expressed as the test attribute selected in step S210 . For example, the numerical value of the measured value data is described by a selected visual acuity unit, a notation method, and the like, and the measured value data is related to an inspection attribute of the visual acuity unit, an inspection attribute of the notation method, and the like.

In an embodiment, the measurement data may be obtained through an input UI including the selected data item (S230).

The input UI may be formed of a data field of a data item (ie, item name) among selected inspection items. In certain embodiments, the input UI may be configured to obtain data via touch input or barcode input. The input UI may be implemented as a GUI (Graphic User Interface) having a design configured to accurately and quickly input an eye test result and provided to the user. In addition, the input UI makes patient selection easier through barcode input.

The input UI is configured to more easily select the patient's correction means (eg, contact lenses, glasses, etc.) when the corrected visual acuity is set as a test attribute.

In addition, the input UI may be further configured to additionally input a correction value of each measurement value. The correction value may be input, for example, as a value of +-1, but is not limited thereto.

When the type of vision measurement displayed on the input UI or an item related to the type of vision is activated, the measurement value may be input. In one example, it is possible to input a measurement to an activated item when there is an activation input, such as a single click. Measurements are not entered for items that are not activated.

Through this input UI, the data generating unit 300 may acquire the value input in the data field of the data item as measurement data. To this end, the system 1 may include a display unit (not shown) made of a touch panel and an input device (not shown).

The method for inputting the results of the eye examination includes: generating ( S250 ) data on the eye examination history of the target patient based on the obtained measured value data. The visual acuity test history data includes test items (ie, item names), measurement values, and test attributes related to the test items.

For example, data items, measurements, and other test attributes that describe the results of the vision test (e.g., notation, visual unit, list of items, notation, type of optometry, type of vision, unit of vision, etc.) selected as a result of the vision test. ), the vision test history data is created.

In one embodiment, the step (S250) may include using a transformation model to convert a measurement value of the selected notation method (ie, an input measurement value) into a measurement value of another notation method in a mapping relationship; and generating visual acuity test history information further based on the measurement value of the other notation method. The other measurement value is not actually measured by the inspection equipment 10 , but is a virtual measurement value obtainable by the other inspection equipment 10 or other notation method. The vision test history information based on the measurement values of different notation methods not only describes the vision test result of the target patient as the test attribute of step S210, but also describes other test attributes of the mapping relationship.

For example, when a decimal method is selected and a measurement value belonging to a range of 0.1 or more and less than 0.125 is obtained ( S230 ), the data generating unit 300 displays the input measurement value in a logMAR method and a value in the range of 1.0 or less and greater than 0.9 It can also be calculated by converting it into a measurement value in another notation. Then, the data generating unit 300 may store the logMAR method measurement value in which the test is not performed for the target patient to which only the decimal method measurement value is input.

Additionally, the method for inputting the results of the eye examination may further include: obtaining a measurement date of the eye examination for the target patient ( S240 ). In this case, the vision test history information is generated based on the selected data item, measurement value, and measurement date. In an embodiment, the measurement date data may be obtained through the input UI.

The vision test history information based on the measurement date may be used as longitudinal data for the patient.

Additionally, the method for inputting the results of the vision test may further include: receiving a request for providing the results of the vision test from a patient, providing information on the details of the vision test ( S270 ).

In an embodiment, the request to provide in the step S270 may include a request to provide a measurement value expressed in another notation. Here, the other marking method indicates a marking method different from the marking method of the eye examination actually applied to the target patient (eg, the marking method selected in step S210 ).

The system 1 may store visual acuity test history information obtained by using the transformation model including measurement values of the selected notation method (ie, the input measurement values) and measurement values of another notation method in a mapping relationship ( S250 ). Accordingly, even when a request to provide an eye test result (eg, a measurement value) in a notation format different from the selected notation method is received, the measurement value converted into the requested notation method may be provided in response thereto.

In one example, when receiving a request to provide vision test history information expressed in ETDRS notation for a target patient who has undergone an eye exam based on Snellen notation, visual acuity including ETDRS notation measurement values obtained using a transformation model It is also possible to provide inspection history information (S270).

In another example, when receiving a request to provide vision test history information expressed in a fractional format (unit: meter) notation for a target patient who has received an eye exam based on a fractional method (unit: feet), a transformation model is used It is also possible to provide vision test history information including the measurement value of the fractional method (unit: meter) obtained by doing (S270). Therefore, it is possible to directly provide information on the history of vision tests on patients who have been tested only in the United States to medical staff in Europe.

In other embodiments, some or all of the examination items included in the equipment interface of the examination equipment 10 for generating the eye examination result data may be automatically selected as data items. The test equipment 10 may generate test test result data including a measurement value and an item therefor, and output the test test result. In this case, instead of setting the test properties according to the user input, some or all of the test properties of the equipment interface may be selected as the test properties of the data item. This will be described in more detail with reference to FIG. 3 below.

3 is a flowchart of a method for inputting an eye test result according to another embodiment of the present invention.

Since the steps of FIG. 3 are similar to the steps of FIG. 2 , the differences will be mainly described.

Referring to FIG. 3 , the method for inputting the results of the eye examination includes receiving the data of the results of the eye examination from the examination device 10 ( S201 ). The vision test result data includes test items and measurement data of the equipment interface. For example, the inspection equipment 10 may be an automatic refraction inspection equipment 10 . Then, in order to generate the test result detail information, the vision test result data based on the equipment interface of the automatic refraction test equipment 10 is received (S201).

In the above embodiment, the method for inputting an eye examination result includes selecting an examination item and examination attribute used in an eye examination for a target patient based on the examination item and examination attribute of the equipment interface (S210). In step S210, some or all of the measurement items of the equipment interface may be selected as inspection items.

Then, measurement data of the target patient is obtained from the data of the visual acuity test ( S230 ). The measurement data obtained in step S230 is measurement data for the measurement items of the equipment interface.

In addition, the measurement date data of the target patient is obtained from the result data of the eye examination (S240).

As such, in the method for inputting the results of the vision test, the equipment interface of the test equipment 10 may be used as the setting UI of the step S210 or the input UI of the step S230.

Since the steps S250 and S270 of FIG. 3 are similar to the steps S250 and S270 of FIG. 2 , a detailed description thereof will be omitted.

The eye examination history information to be generated by the system 1 may include a standardized name or identifier instead of a name or identifier dependent on the interface of the examination equipment 10 . For example, the name defined by the standard terminology system may be included in the vision test history information instead of the name of the test item of the equipment interface of the existing test equipment 10 .

As described above, the system 1 (eg, by the data generating unit 300 ) describes the results of the eye examination through predefined attributes, thereby storing the results of the eye examination of the patient in a standardized format.

In addition, the system 1 may transmit (eg, by the data generating unit 300 ) the eye examination history information of the target patient to an external system. The external system may include an order communication system (OCS) system, an Electronic Health Records (EHR) system, and an electric data capture (EDC) system for clinical trials.

It will be apparent to a person skilled in the art that the system 1 may include other components not described herein. For example, the system 1 may include a network interface, an input device for data entry, a memory for storing data, and an output device for display, printing, or other data presentation necessary for the operation described herein. It may include other hardware elements.

The method for inputting the visual acuity test result according to the embodiments described above and the operation by the system 1 for performing the method may be at least partially implemented as a computer program and recorded in a computer-readable recording medium. For example, embodied with a program product consisting of a computer-readable medium containing program code, which may be executed by a processor for performing any or all steps, operations, or processes described.

The computer may be any device that may be integrated with or may be a computing device such as a desktop computer, laptop computer, notebook, smart phone, or the like. A computer is a device having one or more alternative and special purpose processors, memory, storage, and networking components (either wireless or wired). The computer may run, for example, an operating system compatible with Microsoft's Windows, an operating system such as Apple OS X or iOS, a Linux distribution, or Google's Android OS.

The computer-readable recording medium includes all types of recording identification devices in which computer-readable data is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage identification device, and the like. In addition, the computer-readable recording medium may be distributed in network-connected computer systems, and the computer-readable code may be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the present embodiment may be easily understood by those skilled in the art to which the present embodiment belongs.

Although the present invention as described above has been described with reference to the embodiments shown in the drawings, it will be understood that these are merely exemplary, and that various modifications and variations of the embodiments are possible therefrom by those of ordinary skill in the art. However, such modifications should be considered to be within the technical protection scope of the present invention. Accordingly, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims.

Claims (14)

processor; and a method for inputting the results of an eye exam performed by a computing device including a memory,
selecting an examination item and examination attribute used in an eye examination for a target patient;
obtaining a measurement value for the target patient through an input UI including a selected examination item, wherein the selected examination attribute is related to the measurement value;
generating eye examination history information including examination items, examination attributes, and measurement values of the target patient; and
and providing at least a part of the information on the vision test details when receiving a request for providing the vision test results for the target patient.
According to claim 1,
wherein the plurality of examination attributes are subseted by attribute categories, wherein the attribute categories include at least one of a notation method, an optometry type, a visual acuity type, and a visual acuity unit;
The type of vision measurement includes at least one of far and near,
The visual acuity includes at least one of naked eyesight, corrected visual acuity, maximum corrected visual acuity, and pinhole corrected visual acuity;
The notation method (method) is an eye test result input method, characterized in that it includes at least one of a Snellin method, a decimal method, and a logMAR method.
3. The method of claim 2,
wherein the plurality of test items are subseted into a test list;
The test list includes at least one of a Snellen list, an ETDR list, a refraction test list, and an eyeglass test list.
4. The snellen list of claim 3, wherein:
right eye unsightly vision; left eye unsightly vision; binocular unsightly vision; pinhole right eye open vision; pinhole left eye unsightly vision; pinhole binocular unsightly vision; right eye corrected visual acuity; left eye corrected visual acuity; binocular corrected vision; Corrected visual acuity in pinhole right eye; pinhole left eye corrected visual acuity; pinhole corrected visual acuity; maximal corrected visual acuity in the right eye; left eye maximal corrected visual acuity; binocular maximal corrected visual acuity; pinhole right eye maximal corrected visual acuity; pinhole left eye maximal corrected visual acuity; and at least one of pinhole binocular maximum corrected visual acuity.
According to claim 3, wherein the ETDRS list,
right eye unsightly vision; left eye unsightly vision; binocular unsightly vision; pinhole right eye open vision; pinhole left eye unsightly vision; pinhole binocular unsightly vision; right eye corrected visual acuity; left eye corrected visual acuity; binocular corrected vision; Corrected visual acuity in pinhole right eye; pinhole left eye corrected visual acuity; pinhole corrected visual acuity; maximal corrected visual acuity in the right eye; left eye maximal corrected visual acuity; binocular maximal corrected visual acuity; pinhole right eye maximal corrected visual acuity; pinhole naked eye maximal corrected visual acuity; and at least one of pinhole binocular maximal corrected visual acuity.
According to claim 3, The refraction check list,
left eye spherical refractive error; left eye circumferential refractive error; left eye astigmatism; right eye spherical refractive error; right eye circumferential refractive error; right eye astigmatism; left eye spherical refractive error; left eye circumferential refractive error; left eye astigmatism; right eye spherical refractive error; right eye circumferential refractive error; right eye astigmatism; left eye spherical refractive error; left eye circumferential refractive error; and at least one of a left eye astigmatism axis.
The method of claim 3, wherein the glasses test list,
right eye spherical lens power; left eye spherical lens power; right eye circumferential lens power; left eye circumferential lens power; right eye astigmatism; left eye astigmatism; interpupillary distance; Vision test result input method, characterized in that it comprises one or more of.
According to claim 1, wherein the step of generating the eye examination history information of the target patient,
transforming, by using the transformation model, the measurement of the selected notation method into a measurement of another notation that is in a mapping relationship with the measurement; and
and generating vision test history information further based on the measurement values of the other notation methods.
According to claim 8, wherein the step of providing at least a portion of the information on the eye examination details,
When the request for providing the vision test result includes a request for providing a measurement value expressed in a notation format different from the selected notation method, the measurement value converted into the different notation method in a mapping relationship is provided. .
The method of claim 1, wherein the input method of the visual acuity test result comprises:
Further comprising the step of obtaining a measurement date of the visual acuity test result,
The vision test result input method, characterized in that the target patient's vision test history information is further generated based on the measurement date.
The method of claim 1, wherein the input method of the visual acuity test result comprises:
Further comprising the step of receiving the data of the vision test result from the test equipment,
The test item and test attribute used in the vision test for the target patient are selected based on the test item of the equipment interface.
According to claim 1,
The test equipment is an eye test result input method, characterized in that it includes an automatic refraction equipment.
A computer-readable medium readable by a computing device and storing program instructions operable by the computing device, wherein when the program instructions are executed by a processor of the computing device, the processor A computer-readable recording medium for performing the method for inputting an eye test result according to any one of claims.
an examination device for generating data of a patient's vision test result;
a model generator for generating a transformation model based on a mapping relationship between different inspection properties that is interchangeable with respect to the same inspection item; and
Selecting an examination item and examination property used in the visual acuity test result, acquiring measurement data for the target patient through an input UI including the selected examination item, and visual acuity including the examination item, examination attribute, and measurement value of the target patient A system comprising: a data generating unit configured to generate examination history information, and to provide at least a part of the eye examination history information when a request for providing an eye examination result to the target patient is received.

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