KR-20260062860-A - CLINICAL DECISION SUPPORT APPARATUS USING INTELLIGENT DIGITAL TWIN AND METHOD OF OPERATING THE SAME

KR20260062860AKR 20260062860 AKR20260062860 AKR 20260062860AKR-20260062860-A

Abstract

A clinical decision support device using an intelligent digital twin and a method of operation thereof are disclosed. The clinical decision support device using an intelligent digital twin may include a data integration unit that collects and manages heterogeneous data including at least medical information and condition information of a patient; a digital twin generation unit that generates a digital twin that visualizes the medical information and condition information of a patient based on the collected heterogeneous data; a simulation execution unit that performs a simulation of a treatment method for a patient using one or more simulation models; a providing unit that provides at least one of information related to the digital twin and information on the result of the simulation; and a multidisciplinary support execution unit that provides a multi-access video conferencing function based on the generated digital twin.

Inventors

박경화
이장우
신기원
김좌훈

Assignees

고려대학교 산학협력단

Dates

Publication Date: 20260507
Application Date: 20251024
Priority Date: 20241028

Claims (18)

In a clinical decision support device using an intelligent digital twin, A data integration unit that collects and manages heterogeneous data including at least the patient's medical information and the patient's condition information; A digital twin generation unit that generates a digital twin visualizing the patient's medical information and condition information based on the above-mentioned collected heterogeneous data; A simulation execution unit that performs a simulation of a treatment method for the patient selected by the user using one or more simulation models; A providing unit that provides at least one of information related to the digital twin and information on the results of performing the simulation; and A multidisciplinary support execution unit providing multi-access video conferencing functions based on the digital twin generated above including, Clinical decision support device.
In paragraph 1, The above simulation execution unit is, Simulating the prognosis prediction result for the patient's disease based on at least one of the patient's medical information and the patient's condition information, and Providing simulation results for the above prognosis prediction results, Clinical decision support device.
In paragraph 1, The above simulation execution unit is, Providing a function to virtually simulate the surgical process based on the above digital twin, Clinical decision support device.
In paragraph 1, The above one or more simulation models are, It is a machine learning-based artificial intelligence model, and A learning unit that trains one or more simulation models based on the patient's condition information received from a remote monitoring device that monitors changes in the patient's condition. including, Clinical decision support device.
In paragraph 4, The above remote monitoring device is, Equipped with one or more sensors capable of measuring the condition information of the above-mentioned patient, The wearable device worn by the above patient, Clinical decision support device.
In paragraph 1, The above-mentioned providing unit is, Outputting, through a display, information visualized through the digital twin of at least one of the medical information and condition information of the patient and information visualized of at least one of the treatment effect and prognosis prediction result based on the result of performing the simulation. Clinical decision support device.
In paragraph 1, A customized answer providing unit that, when a question is received through a user interface, generates an answer to the received question in response to the received question and provides the generated answer through the user interface. including, Clinical decision support device.
In paragraph 1, A patient condition monitoring unit that receives patient condition information from a remote monitoring device that monitors changes in the patient's condition, and generates a notification signal when it is determined that the received condition information satisfies a defined condition. including, Clinical decision support device.
In a method of operation of a clinical decision support device using an intelligent digital twin, The operation of collecting heterogeneous data including at least medical information regarding a patient and condition information of said patient; The operation of generating a digital twin that visualizes the patient's medical information and condition information based on the above-mentioned collected heterogeneous data; The operation of performing a simulation of a treatment method for the patient selected by the user using one or more simulation models; and Operation of providing at least one of the information related to the digital twin and the information on the result of performing the simulation. including, Method of operation.
In Paragraph 9, The operation of performing the above simulation is, An operation to simulate a prognostic prediction result for a patient's disease based on at least one of the patient's medical information and the patient's condition information; and Operation of providing simulation results for the above prognosis prediction results including, Method of operation.
In Paragraph 9, The operation of performing the above simulation is, Operation that provides the ability to virtually simulate the surgical process based on the above digital twin including, Method of operation.
In Paragraph 9, Operation of providing a multi-access video conferencing function based on the digital twin generated above including more, Method of operation.
In Paragraph 9, The above one or more simulation models are, It is a machine learning-based artificial intelligence model, and The operation of training one or more simulation models based on the patient's condition information received from a remote monitoring device that monitors changes in the patient's condition. including more, Method of operation.
In Paragraph 13, The above remote monitoring device is, Equipped with one or more sensors capable of measuring the condition information of the above-mentioned patient, The wearable device worn by the above patient, Method of operation.
In Paragraph 9, The operation of providing at least one of the information related to the digital twin and the information on the result of performing the simulation is, The operation of outputting, through a display, information visualized through the digital twin of at least one of the medical information and condition information of the patient and at least one of the treatment effect and prognosis prediction results based on the results of performing the simulation. including, Method of operation.
In Paragraph 9, When a question is received through a user interface, an operation to generate an answer to the received question in response to the question and provide the generated answer through the user interface. including more, Method of operation.
In Paragraph 9, An operation to receive status information of the patient from a remote monitoring device that monitors changes in the patient's condition, and to generate a notification signal when it is determined that the received status information satisfies defined conditions. including more, Method of operation.
When executed by one or more processors included in a clinical decision support device, the clinical decision support device, The operation of collecting heterogeneous data including at least medical information regarding a patient and condition information of said patient; The operation of generating a digital twin that visualizes the patient's medical information and condition information based on the above-mentioned collected heterogeneous data; The operation of performing a simulation of a treatment method for the patient selected by the user using one or more simulation models; and Operation of providing at least one of the information related to the digital twin and the information on the result of performing the simulation. Storing computer-executable instructions that cause to perform, Computer-readable storage media.

Description

Clinical decision support apparatus using intelligent digital twin and method of operating the same The present disclosure relates to a clinical decision support device using an intelligent digital twin and a method of operating the same. A digital twin is a technology that replicates a real physical object or system in a virtual space. It is implemented based on data collected from the actual object and information regarding the surrounding environment. Digital twins can be applied to various physical systems, such as manufacturing facilities, aircraft, automobiles, power plants, and urban infrastructure. Data collected through digital twins can be utilized for evaluating object performance, establishing maintenance plans, and improving operational efficiency. A clinical decision support device using an intelligent digital twin according to one embodiment may include a data integration unit that collects and manages heterogeneous data including at least medical information of a patient and condition information of the patient; a digital twin generation unit that generates a digital twin that visualizes the medical information of the patient and condition information based on the collected heterogeneous data; a simulation execution unit that performs a simulation on a treatment method for the patient selected by a user using one or more simulation models; a providing unit that provides at least one of information related to the digital twin and information on the result of the simulation; and a multidisciplinary support execution unit that provides a multi-access video conferencing function based on the generated digital twin. The simulation performing unit can simulate a prognosis prediction result for the patient's disease based on at least one of the patient's medical information and the patient's condition information, and provide a simulation result for the prognosis prediction result. The simulation execution unit described above can provide a function to virtually simulate the surgical process based on the digital twin. The above one or more simulation models are machine learning-based artificial intelligence models, and the clinical decision support device may further include a learning unit that trains the one or more simulation models based on patient condition information received from a remote monitoring device that monitors changes in the patient's condition. The remote monitoring device may be a wearable device worn by the patient, equipped with one or more sensors capable of measuring the patient's condition information. The above-mentioned providing unit can output through a display information visualized through the digital twin of at least one of the patient's medical information and the condition information, and information visualized of at least one of the treatment effect and prognosis prediction result based on the result of performing the simulation. The clinical decision support device may further include a customized answer providing unit that, when it receives a question through a user interface, generates an answer to the question in response to the received question and provides the generated answer through the user interface. The clinical decision support device may further include a patient condition monitoring unit that receives patient condition information from a remote monitoring device that monitors changes in the patient's condition, and generates a notification signal when it is determined that the received condition information satisfies a defined condition. A method of operation of a clinical decision support device using an intelligent digital twin according to one embodiment may include: collecting heterogeneous data including at least medical information regarding a patient and condition information of said patient; generating a digital twin that visualizes the medical information and condition information of said patient based on the collected heterogeneous data; performing a simulation of a treatment method for said patient selected by a user using one or more simulation models; and providing at least one of information related to said digital twin and information on the result of performing said simulation. The operation of performing the above simulation may include the operation of simulating a prognosis prediction result for the patient's disease based on at least one of the patient's medical information and the condition information, and the operation of providing a simulation result for the prognosis prediction result. The operation of performing the above simulation may include an operation that provides a function to virtually simulate the surgical process based on the digital twin. The above operation method may further include an operation that provides a multi-access video conferencing function based on the generated digital twin. The above one or more simulation models are machine learning-based artificial intelligence models, and the operation method