WO2022025344A1 - Method for assigning integrity of follow-up data - Google Patents

Method for assigning integrity of follow-up data Download PDF

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WO2022025344A1
WO2022025344A1 PCT/KR2020/013382 KR2020013382W WO2022025344A1 WO 2022025344 A1 WO2022025344 A1 WO 2022025344A1 KR 2020013382 W KR2020013382 W KR 2020013382W WO 2022025344 A1 WO2022025344 A1 WO 2022025344A1
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Prior art keywords
data
follow
reliability
terminal
patient
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PCT/KR2020/013382
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French (fr)
Korean (ko)
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이해원
민승기
윤영민
마정은
복홍규
김용하
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주식회사 바이오크
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Publication of WO2022025344A1 publication Critical patent/WO2022025344A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/64Protecting data integrity, e.g. using checksums, certificates or signatures
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00ICT specially adapted for the handling or processing of medical references
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • the present invention relates to a method for granting reliability of follow-up data.
  • test records When a patient visits a hospital for a clinical trial and performs various tests or questionnaires, these test records are first recorded on paper or in an in-hospital medical record system (EMR) managed by the hospital. Thereafter, the clinical research nurse (CRC) of the hospital performs the task of transferring the source data created/recorded in the hospital to the electronic case record sheet (eCRF). Since many input errors occur at this time, in most clinical trials, a separate source data verification (SDV) process is performed.
  • EMR in-hospital medical record system
  • a method for granting reliability of follow-up data comprises the steps of: receiving first follow-up data of a patient from a first terminal; receiving clinical data of the patient from a second terminal; generating second follow-up data by processing the clinical data; Comparing the first follow-up data with the second follow-up data, assigning a confidence point to the first follow-up data; including, and assigning the confidence point includes, the first follow-up data and the second follow-up data match, increase the confidence point of the first follow-up data, and if the first follow-up data and the second follow-up data do not match, the confidence point of the first follow-up data reducing; including.
  • the accuracy of data verification is improved because the verification of the tracking data is performed by comparing the data transmitted from two different terminals through the tracking data reliability granting device, rather than by the human eye. It is possible to quantitatively measure the reliability of the data, so that the overall reliability of the database can be grasped.
  • the overall data verification duration is shorter than performing data verification at any one institution.
  • FIG. 1 is a diagram illustrating a system for implementing a method for granting reliability of follow-up data according to an embodiment of the present invention.
  • FIG. 2 is a flowchart illustrating a comprehensive process of a method for granting reliability of follow-up data according to an embodiment of the present invention.
  • a component when it is said that a component is connected or connected to another component, it may be directly connected or connected to the other component, but it should be understood that another component may exist in the middle.
  • FIG. 1 is a diagram illustrating a system 1 for implementing a method for granting reliability of follow-up data according to an embodiment of the present invention.
  • a system 1 for implementing a method for granting reliability of tracking data includes a first terminal 10 , a device for granting reliability of tracking data 100 , and a second terminal 20 . ) may be included.
  • the first terminal 10 is, for example, a terminal that can be used in a hospital conducting a clinical trial, and transmits the patient's first follow-up data to the follow-up data reliability granting apparatus 100 .
  • the first follow-up data may include information corresponding to the purpose of the database 101 .
  • the database 101 may include information on clinical trials, such as patient's disease information, tissue image information, genetic information, pathology information, medication history information, side effects information, blood test information, and hospital visit date.
  • the database 101 may include an electronic case record (eCRF).
  • Follow-up data reliability granting apparatus 100 receives the patient's first follow-up data from the first terminal (10). On the other hand, the follow-up data reliability granting apparatus 100 receives the patient's clinical data from the second terminal 20, and generates the second follow-up data by processing the clinical data. The follow-up data reliability granting apparatus 100 compares the first follow-up data input through the first terminal 10 with the second follow-up data processed by the clinical data input through the second terminal 20 . If the tracking data reliability granting device 100 matches the first tracking data and the second tracking data, the reliability point of the first tracking data is increased, and the first tracking data and the second tracking data do not match. Otherwise, a confidence point may be given to the first tracking data by reducing the confidence point of the first tracking data. The credit points may be stored in the database 101 . In this case, the first terminal 10 , the tracking data reliability granting apparatus 100 , and the second terminal 20 may transmit/receive information through a wired/wireless network.
  • the second terminal 20 is, for example, a terminal that can be used by a patient or a guardian participating in a clinical trial, and transmits the patient's clinical data to the follow-up data reliability granting apparatus 100 .
  • a follow-up data reliability grant method for realizing the system 1 for implementing the follow-up data reliability grant method according to an embodiment of the present invention will be described with reference to FIG. 2 .
  • FIG. 2 is a flowchart illustrating a comprehensive process of a method for granting reliability of follow-up data according to an embodiment of the present invention.
  • Each step of the method for granting reliability of follow-up data according to FIG. 2 may be performed by the apparatus 100 for granting reliability of follow-up data.
  • Each step performed by the tracking data reliability granting apparatus 100 will be described as follows.
  • the method for granting reliability of follow-up data includes the steps of receiving first follow-up data of a patient from a first terminal (S100), receiving clinical data of a patient from a second terminal (S200), Generating second follow-up data by processing clinical data (S300), comparing the first follow-up data with the second follow-up data to give a confidence point to the first follow-up data and the second follow-up data (S400) is included.
  • the step ( S100 ) of receiving the patient's first follow-up data from the first terminal 10 in the follow-up data reliability granting apparatus 100 is performed.
  • the first terminal 10 may be used, for example, by a clinical research nurse (CRC) in a hospital, and the clinical research nurse (CRC) performs various tests/questions from the patient and then inputs the first follow-up data related thereto. .
  • CRC clinical research nurse
  • [Table 1] below is an example of the first tracking data transmitted from the first terminal.
  • a user using the first terminal may, for example, call the patient to confirm whether he or she is alive, and then input the following data into the first terminal to transmit the first follow-up data to the follow-up data reliability granting apparatus 100 .
  • the first terminal user may input 'survival confirmation' data as "Yes” or “No” when contacting the patient or guardian and confirming whether the patient is alive or not.
  • the user of the first terminal can enter 'survival confirmation' data as "Unknown” when it is unknown whether the patient is alive or not because the patient or guardian cannot be contacted.
  • the first follow-up data may include data on whether or not survival follow-up was performed, data on the date of implementation of survival follow-up, data on follow-up methods, data on survival confirmation, data on tumor event types, detailed recurrence/metastasis site data, data on how to confirm recurrence/metastasis, and data on the date of examination.
  • the present invention is not limited thereto.
  • the step (S200) of receiving the clinical data of the patient from the second terminal 20 in the follow-up data reliability granting apparatus 100 is performed.
  • the step (S200) of receiving the patient's prescription data from the second terminal 20 is performed.
  • the present invention is not limited thereto.
  • the temporal order of the two steps ( S100 , S200 ) may be opposite to the above, or may be performed substantially simultaneously.
  • the second terminal 20 may be used by the patient himself/herself or a guardian.
  • the patient enters clinical data.
  • Clinical data is data related to a patient's health, and may include side effects data, prescription data, medical record data, and log data containing a record using the second terminal 20 , but the present invention is not limited thereto. .
  • the clinical data may include log data containing a record of using the second terminal 20 .
  • the tracking data reliability granting apparatus 1 may send a message to the second terminal 20 in the form of a push alarm or the like.
  • the second terminal 20 transmits data related thereto to the tracking data reliability granting apparatus 1 can do.
  • the response message transmitted by the second terminal 20 may include medication adherence data and response date/time data.
  • the clinical data may be image data obtained by photographing or scanning a medical record copy or a prescription.
  • the clinical data may be text data obtained by performing optical character recognition (OCR) on the image data.
  • OCR optical character recognition
  • the patient Since the patient can read/receive a copy of his/her medical record and prescription, he/she may check all source data about himself/herself generated in the hospital. Accordingly, the patient may participate in source data verification (SDV) through the second terminal 20 .
  • SDV source data verification
  • step (S300) of generating the second follow-up data by processing the clinical data in the follow-up data reliability granting apparatus 100 is performed.
  • the clinical data is processed to generate second follow-up data in the same format as the first follow-up data.
  • Table 2 shows some examples of clinical data received by the apparatus 100 for granting reliability of follow-up data from the second terminal 20 .
  • the follow-up data reliability granting apparatus 100 may receive clinical data regarding the patient's medication history from the second terminal 20 .
  • the clinical data may include data on the answer to the question of whether a specific drug was taken (medication status) and the time (alarm confirmation time) at which it was confirmed and answered.
  • the tracking observation data reliability granting apparatus 100 receives the 'alarm confirmation time' data in [Table 2] from the second terminal 20, it processes the data to generate "survival confirmation" data as 'Yes' can do.
  • “survival confirmation” data may be generated as 'Unknown'.
  • the follow-up data reliability granting apparatus 100 may process clinical data to generate second follow-up data as shown in [Table 3] below.
  • a step (S400) of assigning a confidence point to the first follow-up data and the second follow-up data is performed.
  • the 'reliability point' refers to an indicator quantitatively expressed with respect to how reliable the data received by the tracking data reliability granting apparatus 100 is.
  • the user of the first terminal inputs the first follow-up data to the first terminal, the patient is confused, the data is input/selected incorrectly, or the data itself cannot be collected for other reasons, etc. may occur. In this case, the reliability of the first follow-up data is lowered.
  • a reliability point is given to the first tracking data by processing the data input through the second terminal and comparing it with the first tracking data.
  • Second follow-up data - survival check first follow-up data Confidence points increase or decrease One Yes Yes +10 2 Unknown Yes -10 3 Unknown Yes -10 4 No Unknown -5
  • the tracking data reliability granting apparatus 100 may increase the reliability point of the first tracking data by a preset value.
  • the apparatus for granting reliability of tracking data 100 may decrease the reliability point of the first tracking data by a preset value.
  • the apparatus for granting reliability of tracking data 100 may decrease the reliability point of the first tracking data by a preset value.
  • the increase or decrease of the reliability point of the first follow-up data may vary according to the value of the second follow-up data. For example, when the second follow-up data has a clear value, the reliability point of the first follow-up data may be reduced more than when the second follow-up data is unconfirmed data (Unknown). This is because, when the second follow-up data is unconfirmed data, the probability that the first follow-up data is a correct value is higher than when the second follow-up data has a clear value.
  • the verification of the tracking data is not performed by human eyes, but data transmitted from two different terminals is compared through the tracking data reliability granting device 100 and performed, the data verification is Accuracy is improved, and data reliability can be measured quantitatively, so the overall reliability of the database can be grasped.
  • the overall data verification duration is shorter than performing data verification at any one institution.
  • the method for granting reliability of tracking data may further include the step of giving a credit point to the first terminal 10 .
  • the reliability point of the first tracking data increases, the reliability point of the first terminal 10 itself may be increased. Conversely, when the reliability point of the first tracking data decreases, the first terminal 10 itself may reduce the reliability point. Through this, it is possible to evaluate the data input accuracy of the user of the first terminal 10 who inputs the patient's first follow-up data, and to induce more accurate data input.
  • the method for granting reliability of tracking data may further include granting a reward point to the second terminal 20 .
  • the follow-up data reliability granting apparatus 100 may reward the patient for participating in the data verification (SDV) process by granting a reward point to the second terminal 20 .
  • the reward points may be, for example, digital assets such as digitized cash, points, gift certificates, cryptocurrency, contribution, reliability, rank, and emoticons, but the present invention is not limited thereto.
  • the quality of the first follow-up data can be improved by allowing the patient to participate in the source data verification (SDV) to verify the first follow-up data without a problem of personal information infringement. have.
  • SDV source data verification
  • reward points can be given to patients who have contributed to the improvement of data quality, leading to voluntary participation of patients.
  • the tracking data reliability granting apparatus 100 may transparently manage the reception and modification details of the first tracking data and the second tracking data by recording them on the block chain.
  • the follow-up data reliability granting apparatus 100 generates a block including information obtained based on the patient's first follow-up data, and connects to blocks of other patients participating in the construction of the database 101 to create a block chain can be stored on
  • the tracking data reliability granting device 100 receives the first follow-up data from the new patient, the patient's public key (public key) corresponding to the identification information (or address), the first follow-up data
  • the patient's public key public key
  • the first follow-up data By creating a block including information (time series information, qualitative information or quantitative information) and reward points included in , it can be linked to a block containing information of a previous patient.
  • the information to be recorded in the block may be information including the patient's digital identification information and the first follow-up data, but it can be designed so that the information to be recorded on the block chain and the information to be stored in the server are separately divided according to the administrator's choice. may be
  • the apparatus 100 for granting reliability of tracking data may include a receiving unit and a data reliability point granting unit.
  • the receiver may receive the first follow-up data and clinical data from the first terminal 10 and the second terminal 20, respectively.
  • the data reliability point granting unit compares the first follow-up data and the second follow-up data generated by processing the clinical data, and gives a reliability point to the first follow-up data.
  • the receiving unit and the data verifying unit included in the above-described embodiment may be implemented by a memory including instructions programmed to perform these functions, and an arithmetic device including a microprocessor for performing these instructions.
  • embodiments of the present invention may be implemented through various means.
  • embodiments of the present invention may be implemented by hardware, firmware, software, or a combination thereof.
  • the method according to embodiments of the present invention may include one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), and Programmable Logic Devices (PLDs). , FPGAs (Field Programmable Gate Arrays), processors, controllers, microcontrollers, microprocessors, and the like.
  • ASICs Application Specific Integrated Circuits
  • DSPs Digital Signal Processors
  • DSPDs Digital Signal Processing Devices
  • PLDs Programmable Logic Devices
  • FPGAs Field Programmable Gate Arrays
  • processors controllers
  • microcontrollers microcontrollers
  • microprocessors and the like.
  • the method according to the embodiments of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described above.
  • a computer program in which a software code or the like is recorded may be stored in a computer-readable recording medium or a memory unit and driven by a processor.
  • the memory unit may be located inside or outside the processor, and may transmit and receive data to and from the processor by various known means.
  • combinations of each block in the block diagram attached to the present invention and each step in the flowchart may be performed by computer program instructions.
  • These computer program instructions may be embodied in the encoding processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions executed by the encoding processor of the computer or other programmable data processing equipment may correspond to each block of the block diagram or
  • Each step of the flowchart creates a means for performing the functions described.
  • These computer program instructions may also be stored in a computer-usable or computer-readable memory which may direct a computer or other programmable data processing equipment to implement a function in a particular way, and thus the computer-usable or computer-readable memory.
  • the instructions stored in the block diagram may also produce an item of manufacture containing instruction means for performing a function described in each block of the block diagram or each step of the flowchart.
  • the computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to create a computer or other programmable data processing equipment. It is also possible that instructions for performing the processing equipment provide steps for carrying out the functions described in each block of the block diagram and each step of the flowchart.
  • each block or each step may represent a module, segment, or part of code including one or more executable instructions for executing a specified logical function. It should also be noted that in some alternative embodiments it is also possible for the functions recited in blocks or steps to occur out of order. For example, it is possible that two blocks or steps shown one after another may in fact be performed substantially simultaneously, or that the blocks or steps may sometimes be performed in the reverse order according to the corresponding function.
  • the present invention can be applied to the medical data acquisition and analysis industry.

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Abstract

A method for assigning integrity of follow-up data according to one embodiment of the present invention comprises the steps of: receiving first follow-up data of a patient from a first terminal; receiving clinical data of the patient from a second terminal; generating second follow-up data by processing the clinical data; and assigning integrity points to the first follow-up data by comparing the first follow-up data with the second follow-up data. The step of assigning integrity points comprises a step for increasing the integrity points of the first follow-up data if the first follow-up data and the second follow-up data match, and decreasing the integrity points of the first follow-up data if the first follow-up data and the second follow-up data do not match.

Description

추적관찰 데이터 신뢰도 부여 방법How to give reliability to follow-up data
본 발명은 추적관찰(follow-up) 데이터의 신뢰도 부여 방법에 관한 것이다.The present invention relates to a method for granting reliability of follow-up data.
바이오 산업의 확대에 따라 신약 개발을 위한 임상시험(clinical trial) 역시 증가하고 있다. 최근에는 임상시험에 사용되는 증례기록지(CRF, case report form)를 종이로 관리하지 않고 전자적으로 관리하는 경우가 더욱 많아지고 있으며, 임상시험에 사용되는 데이터를 효율적이고 안전하게 관리하는 방법에 대한 연구가 활발하게 이루어지고 있다. As the bio industry expands, clinical trials for new drug development are also increasing. Recently, case report form (CRF) used in clinical trials is more and more managed electronically instead of on paper, and research on how to efficiently and safely manage data used in clinical trials is being actively carried out.
환자가 임상시험을 위해 병원(site)에 방문하여 각종 검사 또는 설문을 수행하면, 이러한 검사 기록은 종이 또는 병원에서 관리되는 원내 의무기록시스템(EMR)에 우선 기록된다. 이후, 병원(site)의 임상연구간호사(CRC)는 병원에서 우선 생성/기록된 소스 데이터(source data)를 전자 증례기록지(eCRF)에 옮기는 작업을 수행한다. 이때 많은 입력 오류가 일어나므로, 대부분의 임상시험에서는 별도로 소스 데이터를 검증하는 과정(source data verification, SDV)을 거치게 된다. When a patient visits a hospital for a clinical trial and performs various tests or questionnaires, these test records are first recorded on paper or in an in-hospital medical record system (EMR) managed by the hospital. Thereafter, the clinical research nurse (CRC) of the hospital performs the task of transferring the source data created/recorded in the hospital to the electronic case record sheet (eCRF). Since many input errors occur at this time, in most clinical trials, a separate source data verification (SDV) process is performed.
의료 데이터의 경우 소스 데이터(source data)를 가진 곳이 병원으로 제한되어 있기 때문에, 상술한 바와 같은 데이터 검증(SDV)은 대개 병원의 의무기록시스템에 입력된 데이터와 전자 증례기록지(eCRF)에 입력된 데이터를 누군가가 병원에서 눈으로 일일이 비교하는 과정을 통해 이루어진다. 이에, 각 데이터의 신뢰도(integrity)를 측정하고, 이를 정량화해 점수를 부여하는 방법이 필요하게 된다. In the case of medical data, since the source data is limited to hospitals, data verification (SDV) as described above is usually entered into the hospital's medical record system and electronic case record (eCRF). This is done through the process of comparing the collected data with the eyes of someone at the hospital. Accordingly, there is a need for a method of measuring the integrity of each data, quantifying it, and assigning a score.
한편, 임상시험의 경우 환자가 임상시험 후 생존/사망/재발/전이했는지를 확인하는 추적관찰(follow-up) 단계를 거치게 되고, 이에 추적관찰 데이터를 수집하는 것이 매우 중요하다. 추적관찰의 경우 대개 간호사 등 의료진이 환자에게 전화를 걸어 데이터를 수집하게 되는데, 이러한 데이터를 별도로 검증할 수 있는 방법이 마련되어 있지 않다. On the other hand, in the case of clinical trials, it is very important to collect follow-up data since a follow-up step is performed to check whether the patient survives/death/relapses/metastases after the clinical trial. In the case of follow-up, medical staff such as nurses usually call the patient and collect data, but there is no method to separately verify this data.
다만, 본 발명의 실시예가 이루고자 하는 기술적 과제는 이상에서 언급한 과제로 제한되지 않으며, 이하에서 설명할 내용으로부터 통상의 기술자에게 자명한 범위 내에서 다양한 기술적 과제가 도출될 수 있다.However, the technical tasks to be achieved by the embodiments of the present invention are not limited to the tasks mentioned above, and various technical tasks may be derived from the content to be described below within the scope obvious to those skilled in the art.
본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법은, 제1 단말로부터 환자의 제1 추적관찰 데이터를 수신하는 단계; 제2 단말로부터 상기 환자의 임상 데이터를 수신하는 단계; 상기 임상 데이터를 가공하여 제2 추적관찰 데이터를 생성하는 단계; 상기 제1 추적관찰 데이터와 상기 제2 추적관찰 데이터를 비교하여, 상기 제1 추적관찰 데이터에 신뢰도 포인트를 부여하는 단계;를 포함하고, 상기 신뢰도 포인트를 할당하는 단계는, 상기 제1 추적관찰 데이터와 상기 제2 추적관찰 데이터가 일치하면 상기 제1 추적관찰 데이터의 신뢰도 포인트를 증가시키고, 상기 제1 추적관찰 데이터와 상기 제2 추적관찰 데이터가 일치하지 않으면 상기 제1 추적관찰 데이터의 신뢰도 포인트를 감소시키는 단계;를 포함한다. A method for granting reliability of follow-up data according to an embodiment of the present invention comprises the steps of: receiving first follow-up data of a patient from a first terminal; receiving clinical data of the patient from a second terminal; generating second follow-up data by processing the clinical data; Comparing the first follow-up data with the second follow-up data, assigning a confidence point to the first follow-up data; including, and assigning the confidence point includes, the first follow-up data and the second follow-up data match, increase the confidence point of the first follow-up data, and if the first follow-up data and the second follow-up data do not match, the confidence point of the first follow-up data reducing; including.
본 발명의 일 실시예에 따른 경우, 추적관찰 데이터의 검증을 사람이 눈으로 하는 것이 아니라 서로 다른 두 단말에서 송신된 데이터를 추적관찰 데이터 신뢰도 부여 장치를 통해 비교하여 수행하므로 데이터 검증의 정확도가 향상되고, 데이터 신뢰도를 정량적으로 측정할 수 있어 데이터베이스의 전체적인 신뢰도를 파악할 수 있다. In the case of an embodiment of the present invention, the accuracy of data verification is improved because the verification of the tracking data is performed by comparing the data transmitted from two different terminals through the tracking data reliability granting device, rather than by the human eye. It is possible to quantitatively measure the reliability of the data, so that the overall reliability of the database can be grasped.
한편 서로 다른 환자들이 본인의 데이터 검증 업무를 직접 수행하므로, 어느 한 기관에서 데이터 검증을 수행하는 것보다 전체적인 데이터 검증 기간(duration)이 짧아진다. On the other hand, since different patients directly perform their own data verification tasks, the overall data verification duration is shorter than performing data verification at any one institution.
도 1은 본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법을 실시하는 시스템을 나타낸 도면이다.1 is a diagram illustrating a system for implementing a method for granting reliability of follow-up data according to an embodiment of the present invention.
도 2는 본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법의 포괄적인 프로세스를 도시한 흐름도이다. 2 is a flowchart illustrating a comprehensive process of a method for granting reliability of follow-up data according to an embodiment of the present invention.
본 발명의 이점 및 특징, 그리고 그것들을 달성하는 방법은 첨부되는 도면과 함께 상세하게 후술되어 있는 실시예들을 참조하면 명확해질 것이다.  그러나 본 발명은 이하에서 개시되는 실시예들에 한정되는 것이 아니라 다양한 형태로 구현될 수 있으며, 단지 본 실시예들은 본 발명의 개시가 완전하도록 하고, 본 발명이 속하는 기술분야에서 통상의 지식을 가진 자에게 발명의 범주를 완전하게 알려주기 위해 제공되는 것이며, 본 발명의 범주는 청구항에 의해 정의될 뿐이다.Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and can be implemented in various forms, only these embodiments make the disclosure of the present invention complete, and   with ordinary knowledge in the art to which the present invention pertains It is provided to fully inform the person of the scope of the invention, and the scope of the present invention is only defined by the claims.
본 발명의 실시예들을 설명함에 있어서 공지 기능 또는 구성에 대한 구체적인 설명은 본 발명의 실시예들을 설명함에 있어 실제로 필요한 경우 외에는 생략될 것이다. 그리고 후술되는 용어들은 본 발명의 실시예에서의 기능을 고려하여 정의된 용어들로서 이는 사용자, 운용자의 의도 또는 관례 등에 따라 달라질 수 있다. 그러므로 그 정의는 본 명세서 전반에 걸친 내용을 토대로 내려져야 할 것이다.In describing the embodiments of the present invention, detailed descriptions of well-known functions or configurations will be omitted except when actually necessary in describing the embodiments of the present invention. In addition, the terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to intentions or customs of users and operators. Therefore, the definition should be made based on the content throughout this specification.
도면에 표시되고 아래에 설명되는 기능 블록들은 가능한 구현의 예들일 뿐이다. 다른 구현들에서는 상세한 설명의 사상 및 범위를 벗어나지 않는 범위에서 다른 기능 블록들이 사용될 수 있다. 또한 본 발명의 하나 이상의 기능 블록이 개별 블록들로 표시되지만, 본 발명의 기능 블록들 중 하나 이상은 동일 기능을 실행하는 다양한 하드웨어 및 소프트웨어 구성들의 조합일 수 있다.The functional blocks shown in the drawings and described below are merely examples of possible implementations. Other functional blocks may be used in other implementations without departing from the spirit and scope of the detailed description. Also, although one or more functional blocks of the present invention are represented as separate blocks, one or more of the functional blocks of the present invention may be combinations of various hardware and software configurations that perform the same function.
또한 어떤 구성 요소들을 포함한다는 표현은 개방형의 표현으로서 해당 구성 요소들이 존재하는 것을 단순히 지칭할 뿐이며, 추가적인 구성 요소들을 배제하는 것으로 이해되어서는 안 된다.In addition, the expression including certain components is an open expression and merely refers to the existence of the corresponding components, and should not be construed as excluding additional components.
나아가 어떤 구성 요소가 다른 구성 요소에 연결되어 있다거나 접속되어 있다고 언급될 때에는, 그 다른 구성 요소에 직접적으로 연결 또는 접속되어 있을 수도 있지만, 중간에 다른 구성 요소가 존재할 수도 있다고 이해되어야 한다. Furthermore, when it is said that a component is connected or connected to another component, it may be directly connected or connected to the other component, but it should be understood that another component may exist in the middle.
또한 '제1, 제2' 등과 같은 표현은 복수의 구성들을 구분하기 위한 용도로만 사용된 표현으로써, 구성들 사이의 순서나 기타 특징들을 한정하지 않는다. In addition, expressions such as 'first, second', etc. are used only for distinguishing a plurality of components, and do not limit the order or other characteristics between the components.
이하에서는 도면들을 참조하여 본 발명의 실시예들에 대해 설명하도록 한다. Hereinafter, embodiments of the present invention will be described with reference to the drawings.
도 1은 본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법을 실시하는 시스템(1)을 나타낸 도면이다. 1 is a diagram illustrating a system 1 for implementing a method for granting reliability of follow-up data according to an embodiment of the present invention.
도 1을 참조하면, 본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법을 실시하는 시스템(1)은 제1 단말(10), 추적관찰 데이터 신뢰도 부여 장치(100) 및 제2 단말(20)을 포함할 수 있다. Referring to FIG. 1 , a system 1 for implementing a method for granting reliability of tracking data according to an embodiment of the present invention includes a first terminal 10 , a device for granting reliability of tracking data 100 , and a second terminal 20 . ) may be included.
제1 단말(10)은 예컨대 임상시험을 진행하는 병원에서 사용될 수 있는 단말로, 환자의 제1 추적관찰 데이터를 추적관찰 데이터 신뢰도 부여 장치(100)로 전송한다. 이때 제1 추적관찰 데이터는 데이터베이스(101)의 목적에 상응하는 정보를 포함할 수 있다. 데이터베이스(101)는 환자의 질병 정보, 조직 이미지 정보, 유전자 정보, 병리 정보, 투약력 정보, 부작용 정보, 혈액 검사 정보, 병원 방문 날짜 등 임상시험에 관한 정보를 포함할 수 있다. 데이터베이스(101)는 전자 증례기록지(eCRF)를 포함할 수 있다. The first terminal 10 is, for example, a terminal that can be used in a hospital conducting a clinical trial, and transmits the patient's first follow-up data to the follow-up data reliability granting apparatus 100 . In this case, the first follow-up data may include information corresponding to the purpose of the database 101 . The database 101 may include information on clinical trials, such as patient's disease information, tissue image information, genetic information, pathology information, medication history information, side effects information, blood test information, and hospital visit date. The database 101 may include an electronic case record (eCRF).
추적관찰 데이터 신뢰도 부여 장치(100)는 제1 단말(10)로부터 환자의 제1 추적관찰 데이터를 수신한다. 한편, 추적관찰 데이터 신뢰도 부여 장치(100)는 제2 단말(20)로부터 환자의 임상 데이터를 수신하고, 임상 데이터를 가공하여 제2 추적관찰 데이터를 생성한다. 추적관찰 데이터 신뢰도 부여 장치(100)는 제1 단말(10)을 통해 입력된 제1 추적관찰 데이터와 제2 단말(20)을 통해 입력된 임상 데이터를 가공한 제2 추적관찰 데이터를 비교한다. 추적관찰 데이터 신뢰도 부여 장치(100)는 제1 추적관찰 데이터와 제2 추적관찰 데이터가 일치하면 제1 추적관찰 데이터의 신뢰도 포인트를 증가시키고, 제1 추적관찰 데이터와 제2 추적관찰 데이터가 일치하지 않으면 상기 제1 추적관찰 데이터의 신뢰도 포인트를 감소시켜 제1 추적관찰 데이터에 신뢰도 포인트를 부여할 수 있다. 신뢰도 포인트는 데이터베이스(101)에 저장될 수 있다. 이때 제1 단말(10), 추적관찰 데이터 신뢰도 부여 장치(100) 및 제2 단말(20)은 유무선 네트워크를 통해 정보를 송수신할 수 있다. Follow-up data reliability granting apparatus 100 receives the patient's first follow-up data from the first terminal (10). On the other hand, the follow-up data reliability granting apparatus 100 receives the patient's clinical data from the second terminal 20, and generates the second follow-up data by processing the clinical data. The follow-up data reliability granting apparatus 100 compares the first follow-up data input through the first terminal 10 with the second follow-up data processed by the clinical data input through the second terminal 20 . If the tracking data reliability granting device 100 matches the first tracking data and the second tracking data, the reliability point of the first tracking data is increased, and the first tracking data and the second tracking data do not match. Otherwise, a confidence point may be given to the first tracking data by reducing the confidence point of the first tracking data. The credit points may be stored in the database 101 . In this case, the first terminal 10 , the tracking data reliability granting apparatus 100 , and the second terminal 20 may transmit/receive information through a wired/wireless network.
제2 단말(20)은 예컨대 임상시험에 참여한 환자 또는 보호자가 사용할 수 있는 단말로, 환자의 임상 데이터를 추적관찰 데이터 신뢰도 부여 장치(100)로 전송한다. The second terminal 20 is, for example, a terminal that can be used by a patient or a guardian participating in a clinical trial, and transmits the patient's clinical data to the follow-up data reliability granting apparatus 100 .
이러한 본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법을 실시하는 시스템(1)을 실현시키기 위한 추적관찰 데이터 신뢰도 부여 방법을 도 2를 참조하여 설명한다.A follow-up data reliability grant method for realizing the system 1 for implementing the follow-up data reliability grant method according to an embodiment of the present invention will be described with reference to FIG. 2 .
도 2는 본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법의 포괄적인 프로세스를 도시한 흐름도이다. 도 2에 따른 추적관찰 데이터 신뢰도 부여 방법의 각 단계는 추적관찰 데이터 신뢰도 부여 장치(100)에 의해 수행될 수 있다. 추적관찰 데이터 신뢰도 부여 장치(100)가 수행하는 각 단계를 설명하면 다음과 같다.2 is a flowchart illustrating a comprehensive process of a method for granting reliability of follow-up data according to an embodiment of the present invention. Each step of the method for granting reliability of follow-up data according to FIG. 2 may be performed by the apparatus 100 for granting reliability of follow-up data. Each step performed by the tracking data reliability granting apparatus 100 will be described as follows.
일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법은, 제1 단말로부터 환자의 제1 추적관찰 데이터를 수신하는 단계(S100), 제2 단말로부터 환자의 임상 데이터를 수신하는 단계(S200), 임상 데이터를 가공하여 제2 추적관찰 데이터를 생성하는 단계(S300), 제1 추적관찰 데이터와 제2 추적관찰 데이터를 비교하여 제1 추적관찰 데이터와 제2 추적관찰 데이터에 신뢰도 포인트를 부여하는 단계(S400)를 포함한다. The method for granting reliability of follow-up data according to an embodiment includes the steps of receiving first follow-up data of a patient from a first terminal (S100), receiving clinical data of a patient from a second terminal (S200), Generating second follow-up data by processing clinical data (S300), comparing the first follow-up data with the second follow-up data to give a confidence point to the first follow-up data and the second follow-up data (S400) is included.
도 2를 참조하면, 추적관찰 데이터 신뢰도 부여 장치(100)에서 제1 단말(10)로부터 환자의 제1 추적관찰 데이터를 수신하는 단계(S100)가 수행된다. 제1 단말(10)은 예컨대 주로 병원의 임상연구간호사(CRC)가 사용할 수 있으며, 임상연구간호사(CRC)는 환자로부터 각종 검사/설문 등을 수행한 후 이에 관한 제1 추적관찰 데이터를 입력한다. Referring to FIG. 2 , the step ( S100 ) of receiving the patient's first follow-up data from the first terminal 10 in the follow-up data reliability granting apparatus 100 is performed. The first terminal 10 may be used, for example, by a clinical research nurse (CRC) in a hospital, and the clinical research nurse (CRC) performs various tests/questions from the patient and then inputs the first follow-up data related thereto. .
아래 [표 1]은 제1 단말에서 송신하는 제1 추적관찰 데이터의 예시이다. 제1 단말을 사용하는 사용자는 예컨대 환자에게 전화를 걸어 생존 여부를 확인한 후 아래와 같은 데이터를 제1 단말에 입력해 제1 추적관찰 데이터를 추적관찰 데이터 신뢰도 부여 장치(100)에 송신할 수 있다. [Table 1] below is an example of the first tracking data transmitted from the first terminal. A user using the first terminal may, for example, call the patient to confirm whether he or she is alive, and then input the following data into the first terminal to transmit the first follow-up data to the follow-up data reliability granting apparatus 100 .
번호number 생존추적 시행Survival Follow-up 시행일effective date 생존 확인survival check
1One YesYes 2020-06-072020-06-07 YesYes
22 YesYes 2020-06-082020-06-08 UnknownUnknown
33 YesYes 2020-06-092020-06-09 UnknownUnknown
44 YesYes 2020-06-102020-06-10 NoNo
예컨대 제1 단말 사용자는 환자 또는 보호자와 연락이 되어 환자의 생존 여부를 확실하게 알 수 있을 경우, '생존 확인' 데이터를 "Yes" 또는 "No"로 입력할 수 있다.또는, 제1 단말 사용자는 환자 또는 보호자와 연락이 되지 않아 환자의 생존 여부를 확실하게 알 수 없는 경우, '생존 확인' 데이터를 "Unknown"으로 입력할 수 있다. For example, the first terminal user may input 'survival confirmation' data as "Yes" or "No" when contacting the patient or guardian and confirming whether the patient is alive or not. Alternatively, the user of the first terminal can enter 'survival confirmation' data as "Unknown" when it is unknown whether the patient is alive or not because the patient or guardian cannot be contacted.
제1 추적관찰 데이터는 생존추적 시행 여부 데이터, 생존추적 시행일 데이터, 추적 방법 데이터, 생존 확인 데이터, 종양 사건 종류 데이터, 상세 재발/전이 부위 데이터, 재발/전이 확진 방법 데이터, 검사일 데이터를 포함할 수 있으나 본 발명이 이에 제한되는 것은 아니다.The first follow-up data may include data on whether or not survival follow-up was performed, data on the date of implementation of survival follow-up, data on follow-up methods, data on survival confirmation, data on tumor event types, detailed recurrence/metastasis site data, data on how to confirm recurrence/metastasis, and data on the date of examination. However, the present invention is not limited thereto.
한편, 추적관찰 데이터 신뢰도 부여 장치(100)에서 제2 단말(20)로부터 환자의 임상 데이터를 수신하는 단계(S200)가 수행된다. 본 명세서와 도면에서는 편의상 제1 단말(10)로부터 환자의 제1 추적관찰 데이터를 수신하는 단계(S100) 후에 제2 단말(20)로부터 환자의 처방 데이터를 수신하는 단계(S200)가 수행되는 것으로 서술하였으나, 본 발명이 이에 제한되는 것은 아니다. 두 단계(S100, S200)의 시간적 순서는 위와 반대일 수 있고, 실질적으로 동시에 이루어질 수도 있다. On the other hand, the step (S200) of receiving the clinical data of the patient from the second terminal 20 in the follow-up data reliability granting apparatus 100 is performed. In this specification and drawings, for convenience, after receiving the patient's first follow-up data from the first terminal 10 (S100), the step (S200) of receiving the patient's prescription data from the second terminal 20 is performed. Although described, the present invention is not limited thereto. The temporal order of the two steps ( S100 , S200 ) may be opposite to the above, or may be performed substantially simultaneously.
제2 단말(20)은 환자 본인 또는 보호자가 사용할 수 있다. 환자는 임상 데이터를 입력한다. 임상(clinical) 데이터는 환자의 건강에 관련된 데이터로, 부작용 데이터, 처방 데이터, 의무기록 데이터, 제2 단말(20)을 사용한 기록이 담긴 로그 데이터를 포함할 수 있으나 본 발명이 이에 제한되는 것은 아니다.The second terminal 20 may be used by the patient himself/herself or a guardian. The patient enters clinical data. Clinical data is data related to a patient's health, and may include side effects data, prescription data, medical record data, and log data containing a record using the second terminal 20 , but the present invention is not limited thereto. .
일 실시예에 따르면 임상 데이터는 제2 단말(20)을 사용한 기록이 담긴 로그 데이터를 포함할 수 있다. 예컨대 추적관찰 데이터 신뢰도 부여 장치(1)는 제2 단말(20)에 푸시 알람(push alarm) 등의 형식으로 메시지를 보낼 수 있다. 제2 단말(20)의 사용자가 이에 응답하여 제2 단말(20)에서 특정 버튼을 누르는 등으로 응답하면, 제2 단말(20)은 이에 관한 데이터를 추적관찰 데이터 신뢰도 부여 장치(1)에 송신할 수 있다. 이때 제2 단말(20)이 송신하는 응답 메시지는 복약이행도(medication adherence) 데이터, 응답 날짜/시간 데이터를 포함할 수 있다. According to an embodiment, the clinical data may include log data containing a record of using the second terminal 20 . For example, the tracking data reliability granting apparatus 1 may send a message to the second terminal 20 in the form of a push alarm or the like. When the user of the second terminal 20 responds by pressing a specific button on the second terminal 20 in response to this, the second terminal 20 transmits data related thereto to the tracking data reliability granting apparatus 1 can do. In this case, the response message transmitted by the second terminal 20 may include medication adherence data and response date/time data.
일 실시예에 따르면 임상 데이터는 의무기록사본 또는 처방전을 사진 찍거나 스캔한 이미지 데이터일 수 있다. 일 실시예에 따르면 임상 데이터는 상기 이미지 데이터를 광학문자인식(OCR)한 텍스트 데이터일 수 있다. According to an embodiment, the clinical data may be image data obtained by photographing or scanning a medical record copy or a prescription. According to an embodiment, the clinical data may be text data obtained by performing optical character recognition (OCR) on the image data.
환자는 본인의 의무기록사본 및 처방전을 열람/교부받을 수 있으므로, 병원에서 생성된 자신에 관한 모든 소스 데이터(source data)를 확인할 수 있다. 따라서 환자는 제2 단말(20)을 통해 데이터 검증(source data verification, SDV)에 참여할 수 있다. Since the patient can read/receive a copy of his/her medical record and prescription, he/she may check all source data about himself/herself generated in the hospital. Accordingly, the patient may participate in source data verification (SDV) through the second terminal 20 .
이후, 추적관찰 데이터 신뢰도 부여 장치(100)에서 임상 데이터를 가공하여 제2 추적관찰 데이터를 생성하는 단계(S300)가 수행된다. 이 단계에서는 임상 데이터를 가공하여 제1 추적관찰 데이터와 동일한 형식의 제2 추적관찰 데이터를 생성한다.Thereafter, the step (S300) of generating the second follow-up data by processing the clinical data in the follow-up data reliability granting apparatus 100 is performed. In this step, the clinical data is processed to generate second follow-up data in the same format as the first follow-up data.
이하 임상 데이터를 가공하여 제2 추적관찰 데이터를 생성하는 단계의 실시예를 설명한다. Hereinafter, an embodiment of the step of generating the second follow-up data by processing the clinical data will be described.
[표 2]는 추적관찰 데이터 신뢰도 부여 장치(100)가 제2 단말(20)로부터 수신한 임상 데이터의 일부 예시이다. [Table 2] shows some examples of clinical data received by the apparatus 100 for granting reliability of follow-up data from the second terminal 20 .
번호number 성분명Ingredient name 알람 생성 시간alarm generation time 알람 확인 시간alarm confirmation time 복약상태medication status
1One 타목시펜Tamoxifen 2020-06-07 20:10:202020-06-07 20:10:20 2020-06-07 20:11:202020-06-07 20:11:20 YesYes
22 타목시펜Tamoxifen 2020-06-08 20:10:202020-06-08 20:10:20 2020-06-08 21:10:202020-06-08 21:10:20 NoNo
33 타목시펜Tamoxifen 2020-06-09 20:10:202020-06-09 20:10:20 2020-06-0920:15:322020-06-0920:15:32 YesYes
44 타목시펜Tamoxifen 2020-06-10 20:10:202020-06-10 20:10:20
추적관찰 데이터 신뢰도 부여 장치(100)는 제2 단말(20)로부터 환자의 복약 이력에 관한 임상 데이터를 수신할 수 있다. 임상 데이터는 특정 약물을 복약하였냐는 질문에 대한 답(복약상태) 및 이를 확인하고 답변한 시간(알람 확인 시간) 데이터를 포함할 수 있다. 추적관찰 데이터 신뢰도 부여 장치(100)는 제2 단말(20)로부터 상기 [표 2] 중 '알람 확인 시간' 데이터를 수신한 경우, 이 데이터를 가공해 "생존 확인" 데이터를 'Yes'로 생성할 수 있다. 또는, 제2 단말(20)로부터 상기 [표 2] 중 '알람 확인 시간' 데이터를 수신하지 못한 경우, "생존 확인" 데이터를 'Unknown'으로 생성할 수 있다. 이를 통해, 추적관찰 데이터 신뢰도 부여 장치(100)는 임상 데이터를 가공하여 아래 [표 3]과 같은 제2 추적관찰 데이터를 생성할 수 있다. The follow-up data reliability granting apparatus 100 may receive clinical data regarding the patient's medication history from the second terminal 20 . The clinical data may include data on the answer to the question of whether a specific drug was taken (medication status) and the time (alarm confirmation time) at which it was confirmed and answered. When the tracking observation data reliability granting apparatus 100 receives the 'alarm confirmation time' data in [Table 2] from the second terminal 20, it processes the data to generate "survival confirmation" data as 'Yes' can do. Alternatively, when the 'alarm confirmation time' data in [Table 2] is not received from the second terminal 20, "survival confirmation" data may be generated as 'Unknown'. Through this, the follow-up data reliability granting apparatus 100 may process clinical data to generate second follow-up data as shown in [Table 3] below.
번호number 생존추적 시행Survival Follow-up 시행일effective date 생존 확인survival check
1One YesYes 2020-06-072020-06-07 YesYes
22 YesYes 2020-06-082020-06-08 YesYes
33 YesYes 2020-06-092020-06-09 YesYes
44 YesYes 2020-06-102020-06-10 UnknownUnknown
이후, 제1 추적관찰 데이터와 상기 제2 추적관찰 데이터를 비교하여,제1 추적관찰 데이터와 제2 추적관찰 데이터에 신뢰도 포인트를 부여하는 단계(S400)가 수행된다. Thereafter, by comparing the first follow-up data and the second follow-up data, a step (S400) of assigning a confidence point to the first follow-up data and the second follow-up data is performed.
본 명세서에서, '신뢰도 포인트'는 추적관찰 데이터 신뢰도 부여 장치(100)가 수신받은 데이터가 얼마나 신뢰성 있는지에 관하여 정량적으로 표현한 지표를 의미한다. In the present specification, the 'reliability point' refers to an indicator quantitatively expressed with respect to how reliable the data received by the tracking data reliability granting apparatus 100 is.
제1 단말의 사용자가 제1 추적관찰 데이터를 제1 단말에 입력할 때, 환자를 혼동하거나 데이터를 잘못 입력/선택하거나, 그 밖의 사유로 데이터 자체를 수집하지 못하는 등이 일이 발생할 수 있다. 이 경우 제1 추적관찰 데이터의 신뢰성이 낮아지게 된다.When the user of the first terminal inputs the first follow-up data to the first terminal, the patient is confused, the data is input/selected incorrectly, or the data itself cannot be collected for other reasons, etc. may occur. In this case, the reliability of the first follow-up data is lowered.
본 발명에서는 제2 단말을 통해 입력받은 데이터를 가공해 제1 추적관찰 데이터와 비교하여 제1 추적관찰 데이터에 신뢰도 포인트를 부여한다. In the present invention, a reliability point is given to the first tracking data by processing the data input through the second terminal and comparing it with the first tracking data.
아래 [표 4]는 [표 1]과 [표 3]을 비교한 후 "생존 확인" 데이터에 신뢰도 포인트를 부여한 예시이다.[Table 4] below is an example of assigning confidence points to "survival confirmation" data after comparing [Table 1] and [Table 3].
번호number 제1 추적관찰 데이터 -
생존 확인
First follow-up data -
survival check
제2 추적관찰 데이터 -
생존 확인
Second follow-up data -
survival check
제1 추적관찰 데이터
신뢰도 포인트 증감
first follow-up data
Confidence points increase or decrease
1One YesYes YesYes +10+10
22 UnknownUnknown YesYes -10-10
33 UnknownUnknown YesYes -10-10
44 NoNo UnknownUnknown -5-5
예컨대 [표 4]의 1번째 행을 살펴보면, 제1 추적관찰 데이터 및 제2 추적관찰 데이터의'생존 확인' 데이터가 "Yes"로 일치한다. 이 경우 추적관찰 데이터 신뢰도 부여 장치(100)는 제1 추적관찰 데이터의 신뢰도 포인트를 기 설정된 값만큼 증가시킬 수 있다.For example, looking at the first row of [Table 4], the 'survival confirmation' data of the first follow-up data and the second follow-up data match "Yes". In this case, the tracking data reliability granting apparatus 100 may increase the reliability point of the first tracking data by a preset value.
2번째, 3번째 행을 살펴보면, 제1 단말이 송신한 제1 추적관찰 데이터는 'Unknown'이고 제2 단말의 임상 데이터를 가공한 제2 추적관찰 데이터는 'Yes'이다. 양 데이터가 불일치하므로, 추적관찰 데이터 신뢰도 부여 장치(100)는 제1 추적관찰 데이터의 신뢰도 포인트를 기 설정된 값만큼 감소시킬 수 있다. Looking at the second and third rows, the first follow-up data transmitted by the first terminal is 'Unknown', and the second follow-up data obtained by processing the clinical data of the second terminal is 'Yes'. Since both data are inconsistent, the apparatus for granting reliability of tracking data 100 may decrease the reliability point of the first tracking data by a preset value.
4번째 행을 살펴보면, 제1 단말이 송신한 제1 추적관찰 데이터는 'No'이고 제2 단말의 임상 데이터를 가공한 제2 추적관찰 데이터는 'Unknown'이다. 양 데이터가 불일치하므로, 추적관찰 데이터 신뢰도 부여 장치(100)는 제1 추적관찰 데이터의 신뢰도 포인트를 기 설정된 값만큼 감소시킬 수 있다. Looking at the fourth row, the first follow-up data transmitted by the first terminal is 'No', and the second follow-up data obtained by processing the clinical data of the second terminal is 'Unknown'. Since both data are inconsistent, the apparatus for granting reliability of tracking data 100 may decrease the reliability point of the first tracking data by a preset value.
일 실시예에 따르면, 제2 추적관찰 데이터의 값에 따라 제1 추적관찰 데이터의 신뢰도 포인트 증감은 달라질 수 있다. 예컨대 제2 추적관찰 데이터가 명확한 값을 가지는 경우, 제2 추적관찰 데이터가 미확정 데이터(Unknown)인 경우에 비해 제1 추적관찰 데이터의 신뢰도 포인트가 더 많이 감소할 수 있다. 제2 추적관찰 데이터가 미확정 데이터(Unknown)인 경우, 제1 추적관찰 데이터가 맞는 값일 가능성이 제2 추적관찰 데이터가 명확한 값을 가지는 경우보다 더 높기 때문이다. According to an embodiment, the increase or decrease of the reliability point of the first follow-up data may vary according to the value of the second follow-up data. For example, when the second follow-up data has a clear value, the reliability point of the first follow-up data may be reduced more than when the second follow-up data is unconfirmed data (Unknown). This is because, when the second follow-up data is unconfirmed data, the probability that the first follow-up data is a correct value is higher than when the second follow-up data has a clear value.
본 발명의 일 실시예에 따른 경우, 추적관찰 데이터의 검증을 사람이 눈으로 하는 것이 아니라 서로 다른 두 단말에서 송신된 데이터를 추적관찰 데이터 신뢰도 부여 장치(100)를 통해 비교하여 수행하므로 데이터 검증의 정확도가 향상되고, 데이터 신뢰도를 정량적으로 측정할 수 있어 데이터베이스의 전체적인 신뢰도를 파악할 수 있다. In the case of an embodiment of the present invention, since the verification of the tracking data is not performed by human eyes, but data transmitted from two different terminals is compared through the tracking data reliability granting device 100 and performed, the data verification is Accuracy is improved, and data reliability can be measured quantitatively, so the overall reliability of the database can be grasped.
한편 서로 다른 환자들이 본인의 데이터 검증 업무를 직접 수행하므로, 어느 한 기관에서 데이터 검증을 수행하는 것보다 전체적인 데이터 검증 기간(duration)이 짧아진다. On the other hand, since different patients directly perform their own data verification tasks, the overall data verification duration is shorter than performing data verification at any one institution.
일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법은, 제1 단말(10)에 신뢰도 포인트를 부여하는 단계를 더 포함할 수 있다. 일 실시예에 따르면 The method for granting reliability of tracking data according to an embodiment may further include the step of giving a credit point to the first terminal 10 . According to one embodiment
제1 추적관찰 데이터의 신뢰도 포인트가 증가하는 경우, 제1 단말(10) 자체의 신뢰도 포인트를 증가시킬 수 있다. 반대로 제1 추적관찰 데이터의 신뢰도 포인트가 감소하는 경우, 제1 단말(10) 자체의 신뢰도 포인트를 감소시킬 수 있다. 이를 통해, 환자의 제1 추적관찰 데이터를 입력하는 제1 단말(10) 사용자의 데이터 입력 정확도를 평가하고, 더 정확한 데이터 입력을 유도할 수 있다. When the reliability point of the first tracking data increases, the reliability point of the first terminal 10 itself may be increased. Conversely, when the reliability point of the first tracking data decreases, the first terminal 10 itself may reduce the reliability point. Through this, it is possible to evaluate the data input accuracy of the user of the first terminal 10 who inputs the patient's first follow-up data, and to induce more accurate data input.
일 실시예에 따른 추적관찰 데이터 신뢰도 부여 방법은, 제2 단말(20)에 보상 포인트를 부여하는 단계를 더 포함할 수 있다. 추적관찰 데이터 신뢰도 부여 장치(100)는 제2 단말(20)에 보상 포인트를 부여하여 환자가 데이터 검증(SDV) 과정에 참여한 것에 대해 보상을 줄 수 있다. 보상 포인트는 예컨대 디지털화된 현금, 포인트, 상품권, 암호화폐, 기여도, 신뢰도, 순위(rank), 이모티콘 등의 디지털 재화(digital asset) 등일 수 있으나 본 발명이 이에 제한되는 것은 아니다.The method for granting reliability of tracking data according to an embodiment may further include granting a reward point to the second terminal 20 . The follow-up data reliability granting apparatus 100 may reward the patient for participating in the data verification (SDV) process by granting a reward point to the second terminal 20 . The reward points may be, for example, digital assets such as digitized cash, points, gift certificates, cryptocurrency, contribution, reliability, rank, and emoticons, but the present invention is not limited thereto.
상술한 실시예에 따르면, 개인정보 침해의 문제없이 환자 본인을 소스 데이터 검증(SDV)에 참여하게 하여 제1 추적관찰 데이터를 검증하게 함으로써, 제1 추적관찰 데이터의 질(quality)을 향상시킬 수 있다. 한편, 데이터 질 향상에 기여한 환자들에게 보상 포인트를 부여하여 환자의 자발적인 참여를 이끌어낼 수 있다. According to the above-described embodiment, the quality of the first follow-up data can be improved by allowing the patient to participate in the source data verification (SDV) to verify the first follow-up data without a problem of personal information infringement. have. On the other hand, reward points can be given to patients who have contributed to the improvement of data quality, leading to voluntary participation of patients.
일 실시예에 따르면, 추적관찰 데이터 신뢰도 부여 장치(100)는 제1 추적관찰 데이터 및 제2 추적관찰 데이터의 수신 및 수정 내역을 블록체인 상에 기록하여 투명하게 관리할 수 있다. According to an embodiment, the tracking data reliability granting apparatus 100 may transparently manage the reception and modification details of the first tracking data and the second tracking data by recording them on the block chain.
일 예로, 추적관찰 데이터 신뢰도 부여 장치(100)는 환자의 제1 추적관찰 데이터를 기초로 얻은 정보들을 포함하는 블록을 생성하고, 데이터베이스(101)의 구축에 참여한 다른 환자들의 블록에 연결하여 블록체인 상에 저장할 수 있다. As an example, the follow-up data reliability granting apparatus 100 generates a block including information obtained based on the patient's first follow-up data, and connects to blocks of other patients participating in the construction of the database 101 to create a block chain can be stored on
예를 들어, 추적관찰 데이터 신뢰도 부여 장치(100)는 새로운 환자로부터 제1 추적관찰 데이터를 수신한 경우, 식별 정보(또는 주소)에 해당하는 환자의 공개키(public key), 제1 추적관찰 데이터에 포함된 정보(시계열적 정보, 정성적 정보 또는 정량적 정보), 보상 포인트를 포함하는 블록을 생성하여, 이전 환자의 정보가 포함된 블록에 연결할 수 있다. For example, when the tracking data reliability granting device 100 receives the first follow-up data from the new patient, the patient's public key (public key) corresponding to the identification information (or address), the first follow-up data By creating a block including information (time series information, qualitative information or quantitative information) and reward points included in , it can be linked to a block containing information of a previous patient.
한편, 블록에 기록될 정보는 환자의 디지털 식별 정보 및 제1 추적관찰 데이터를 포함하는 정보일 수 있으나, 관리자의 선택에 따라 블록체인 상에 기록될 정보와 서버에 저장할 정보가 별도로 나뉘도록 설계할 수도 있다.On the other hand, the information to be recorded in the block may be information including the patient's digital identification information and the first follow-up data, but it can be designed so that the information to be recorded on the block chain and the information to be stored in the server are separately divided according to the administrator's choice. may be
한편, 본 발명의 일 실시예에 따른 추적관찰 데이터 신뢰도 부여 장치(100)는 수신부, 데이터 신뢰도 포인트 부여부를 포함할 수 있다. On the other hand, the apparatus 100 for granting reliability of tracking data according to an embodiment of the present invention may include a receiving unit and a data reliability point granting unit.
수신부는 제1 단말(10) 및 제2 단말(20)로부터 각각 제1 추적관찰 데이터 및 임상데이터를 수신할 수 있다. The receiver may receive the first follow-up data and clinical data from the first terminal 10 and the second terminal 20, respectively.
데이터 신뢰도 포인트 부여부는 제1 추적관찰 데이터와 임상 데이터를 가공하여 생성한 제2 추적관찰 데이터를 비교하여, 제1 추적관찰 데이터에 신뢰도 포인트를 부여한다. The data reliability point granting unit compares the first follow-up data and the second follow-up data generated by processing the clinical data, and gives a reliability point to the first follow-up data.
한편, 상술한 실시예에 따른 추적관찰 데이터 신뢰도 부여 장치(100)가 포함하는 구성 요소들이 해당 동작을 실시하기 위한 과정은 도 1 및 도 2와 함께 설명하였으므로 중복된 설명은 생략한다.On the other hand, since the process for the components included in the tracking data reliability granting apparatus 100 according to the above-described embodiment to perform the corresponding operation has been described together with FIGS. 1 and 2 , the redundant description will be omitted.
한편 상술한 실시예가 포함하는 수신부, 데이터 검증부는 이들의 기능을 수행하도록 프로그램된 명령어를 포함하는 메모리, 및 이들 명령어를 수행하는 마이크로프로세서를 포함하는 연산 장치에 의해 구현될 수 있다. Meanwhile, the receiving unit and the data verifying unit included in the above-described embodiment may be implemented by a memory including instructions programmed to perform these functions, and an arithmetic device including a microprocessor for performing these instructions.
상술한 본 발명의 실시예들은 다양한 수단을 통해 구현될 수 있다. 예를 들어, 본 발명의 실시예들은 하드웨어, 펌웨어(firmware), 소프트웨어 또는 그것들의 결합 등에 의해 구현될 수 있다.The above-described embodiments of the present invention may be implemented through various means. For example, embodiments of the present invention may be implemented by hardware, firmware, software, or a combination thereof.
하드웨어에 의한 구현의 경우, 본 발명의 실시예들에 따른 방법은 하나 또는 그 이상의 ASICs(Application Specific Integrated Circuits), DSPs(Digital Signal Processors), DSPDs(Digital Signal Processing Devices), PLDs(Programmable Logic Devices), FPGAs(Field Programmable Gate Arrays), 프로세서, 컨트롤러, 마이크로 컨트롤러, 마이크로 프로세서 등에 의해 구현될 수 있다.In the case of implementation by hardware, the method according to embodiments of the present invention may include one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), and Programmable Logic Devices (PLDs). , FPGAs (Field Programmable Gate Arrays), processors, controllers, microcontrollers, microprocessors, and the like.
펌웨어나 소프트웨어에 의한 구현의 경우, 본 발명의 실시예들에 따른 방법은 이상에서 설명된 기능 또는 동작들을 수행하는 모듈, 절차 또는 함수 등의 형태로 구현될 수 있다. 소프트웨어 코드 등이 기록된 컴퓨터 프로그램은 컴퓨터 판독 가능 기록 매체 또는 메모리 유닛에 저장되어 프로세서에 의해 구동될 수 있다. 메모리 유닛은 프로세서 내부 또는 외부에 위치하여, 이미 공지된 다양한 수단에 의해 프로세서와 데이터를 주고 받을 수 있다.In the case of implementation by firmware or software, the method according to the embodiments of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described above. A computer program in which a software code or the like is recorded may be stored in a computer-readable recording medium or a memory unit and driven by a processor. The memory unit may be located inside or outside the processor, and may transmit and receive data to and from the processor by various known means.
또한 본 발명에 첨부된 블록도의 각 블록과 흐름도의 각 단계의 조합들은 컴퓨터 프로그램 인스트럭션들에 의해 수행될 수도 있다. 이들 컴퓨터 프로그램 인스트럭션들은 범용 컴퓨터, 특수용 컴퓨터 또는 기타 프로그램 가능한 데이터 프로세싱 장비의 인코딩 프로세서에 탑재될 수 있으므로, 컴퓨터 또는 기타 프로그램 가능한 데이터 프로세싱 장비의 인코딩 프로세서를 통해 수행되는 그 인스트럭션들이 블록도의 각 블록 또는 흐름도의 각 단계에서 설명된 기능들을 수행하는 수단을 생성하게 된다. 이들 컴퓨터 프로그램 인스트럭션들은 특정 방법으로 기능을 구현하기 위해 컴퓨터 또는 기타 프로그램 가능한 데이터 프로세싱 장비를 지향할 수 있는 컴퓨터 이용 가능 또는 컴퓨터 판독 가능 메모리에 저장되는 것도 가능하므로, 그 컴퓨터 이용가능 또는 컴퓨터 판독 가능 메모리에 저장된 인스트럭션들은 블록도의 각 블록 또는 흐름도 각 단계에서 설명된 기능을 수행하는 인스트럭션 수단을 내포하는 제조 품목을 생산하는 것도 가능하다. 컴퓨터 프로그램 인스트럭션들은 컴퓨터 또는 기타 프로그램 가능한 데이터 프로세싱 장비 상에 탑재되는 것도 가능하므로, 컴퓨터 또는 기타 프로그램 가능한 데이터 프로세싱 장비 상에서 일련의 동작 단계들이 수행되어 컴퓨터로 실행되는 프로세스를 생성해서 컴퓨터 또는 기타 프로그램 가능한 데이터 프로세싱 장비를 수행하는 인스트럭션들은 블록도의 각 블록 및 흐름도의 각 단계에서 설명된 기능들을 실행하기 위한 단계들을 제공하는 것도 가능하다.In addition, combinations of each block in the block diagram attached to the present invention and each step in the flowchart may be performed by computer program instructions. These computer program instructions may be embodied in the encoding processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions executed by the encoding processor of the computer or other programmable data processing equipment may correspond to each block of the block diagram or Each step of the flowchart creates a means for performing the functions described. These computer program instructions may also be stored in a computer-usable or computer-readable memory which may direct a computer or other programmable data processing equipment to implement a function in a particular way, and thus the computer-usable or computer-readable memory. The instructions stored in the block diagram may also produce an item of manufacture containing instruction means for performing a function described in each block of the block diagram or each step of the flowchart. The computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to create a computer or other programmable data processing equipment. It is also possible that instructions for performing the processing equipment provide steps for carrying out the functions described in each block of the block diagram and each step of the flowchart.
더불어 각 블록 또는 각 단계는 특정된 논리적 기능을 실행하기 위한 하나 이상의 실행 가능한 인스트럭션들을 포함하는 모듈, 세그먼트 또는 코드의 일부를 나타낼 수 있다. 또한 몇 가지 대체 실시예들에서는 블록들 또는 단계들에서 언급된 기능들이 순서를 벗어나서 발생하는 것도 가능함을 주목해야 한다. 예컨대, 잇달아 도시되어 있는 두 개의 블록들 또는 단계들은 사실 실질적으로 동시에 수행되는 것도 가능하고 또는 그 블록들 또는 단계들이 때때로 해당하는 기능에 따라 역순으로 수행되는 것도 가능하다.In addition, each block or each step may represent a module, segment, or part of code including one or more executable instructions for executing a specified logical function. It should also be noted that in some alternative embodiments it is also possible for the functions recited in blocks or steps to occur out of order. For example, it is possible that two blocks or steps shown one after another may in fact be performed substantially simultaneously, or that the blocks or steps may sometimes be performed in the reverse order according to the corresponding function.
이와 같이, 본 발명이 속하는 기술분야의 당업자는 본 발명이 그 기술적 사상이나 필수적 특징을 변경하지 않고서 다른 구체적인 형태로 실시될 수 있다는 것을 이해할 수 있을 것이다. 그러므로 이상에서 기술한 실시예들은 모든 면에서 예시적인 것이며 한정적인 것이 아닌 것으로서 이해해야만 한다. 본 발명의 범위는 상세한 설명보다는 후술하는 특허청구범위에 의하여 나타내어지며, 특허청구범위의 의미 및 범위 그리고 그 등가개념으로부터 도출되는 모든 변경 또는 변형된 형태가 본 발명의 범위에 포함되는 것으로 해석되어야 한다.As such, those skilled in the art to which the present invention pertains will understand that the present invention may be embodied in other specific forms without changing the technical spirit or essential characteristics thereof. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. .
본 발명은 의료 데이터 획득 및 분석 산업에 활용될 수 있다.The present invention can be applied to the medical data acquisition and analysis industry.

Claims (1)

  1. 제1 단말로부터 환자의 제1 추적관찰 데이터를 수신하는 단계;Receiving first follow-up data of the patient from the first terminal;
    제2 단말로부터 상기 환자의 임상 데이터를 수신하는 단계;receiving clinical data of the patient from a second terminal;
    상기 임상 데이터를 가공하여 제2 추적관찰 데이터를 생성하는 단계;generating second follow-up data by processing the clinical data;
    상기 제1 추적관찰 데이터와 상기 제2 추적관찰 데이터를 비교하여, 상기 제1 추적관찰 데이터에 신뢰도 포인트를 부여하는 단계;를 포함하고,Comparing the first follow-up data with the second follow-up data, giving a confidence point to the first follow-up data; includes;
    상기 신뢰도 포인트를 할당하는 단계는, Allocating the reliability point comprises:
    상기 제1 추적관찰 데이터와 상기 제2 추적관찰 데이터가 일치하면 상기 제1 추적관찰 데이터의 신뢰도 포인트를 증가시키고, If the first follow-up data and the second follow-up data match, increase the reliability point of the first follow-up data,
    상기 제1 추적관찰 데이터와 상기 제2 추적관찰 데이터가 일치하지 않으면 상기 제1 추적관찰 데이터의 신뢰도 포인트를 감소시키는 단계;를 포함하는, 추적관찰 데이터 신뢰도 부여 방법.When the first follow-up data and the second follow-up data do not match, reducing the confidence point of the first follow-up data; Containing, the follow-up data reliability imparting method.
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