Customized digital therapeutic agent generation method based on multi-source data analysis and device for implementing method

Abstract

The present invention relates to a customized digital therapeutic agent generation method based on multi-source data analysis and a device for implementing the method. The customized digital therapeutic agent generation method based on multi-source data analysis may comprise the steps in which: a digital therapeutic agent generation device receives user data; and the digital therapeutic agent generation device generates a digital therapeutic agent personalized to a user on the basis of the user data. The present invention is technology developed through the Seoul Business Agency, 2021 Bio-Medical Technology Transfer Support Project (BT210029), "Development of Precise Digital Therapeutic Agent Technology for Alcohol Addiction ".

Description

Method for creating personalized digital therapeutics based on multi-source data analysis and device for performing the method

[0001] The present invention relates to a method for generating personalized digital therapeutics based on multi-source data analysis and a device for performing such a method. More specifically, the present invention relates to a method for generating personalized digital therapeutics based on multi-source data analysis, which combines various modules for treatment, to generate digital therapeutics, and a device for performing such a method.

[0002] The development of various smart technologies has enabled the recording of data on individuals' daily activities, enabling them to manage their lives more efficiently. Among these, health-related data logging is gaining attention due to the growing interest in health. Many users are already generating and utilizing various health-related data, such as exercise, diet, and sleep, through their smartphones and wearable devices. This shift is a shift from the past, when health-related data was solely generated and managed by medical institutions, to users themselves, through their own devices like smartphones and wearables.

[0003] Health-related data logging is often accomplished through wearable devices. Wearable devices are devices worn or attached to the user's body. Thanks to advancements in technologies like the Internet of Things, wearable devices are increasingly being used to collect health-related data. Wearable devices can collect information about the user's physical changes and the environment surrounding them, and based on this data, they can provide necessary health advice.

[0004] A user's health-related data may include user biomarkers, and research is underway on methods to provide more adaptive medical prescriptions to users based on their health-related data.

[0005] This invention is a technology developed through the Seoul Business Agency's 2021 Bio-Medical Technology Commercialization Support Project (BT210029) "Development of Precision Digital Treatment Technology for Alcohol Addiction."

[0006] Related technology includes Korean registered patent No. 10-2425479.

[0007] The purpose of the present invention is to solve all of the above-described problems.

[0008] In addition, the present invention aims to develop a digital therapeutic by combining a plurality of digital therapeutic modules capable of providing digital therapeutic services.

[0009] In addition, the present invention aims to control conflicts between treatment data of each of a plurality of digital therapeutics so that users of a plurality of digital therapeutics can receive treatment services according to priority without conflicts between treatment data.

[0010] A representative configuration of the present invention to achieve the above purpose is as follows.

[0011] According to one embodiment of the present invention, a method for generating a personalized digital therapeutic based on multi-source data analysis may include a step in which a digital therapeutic generating device receives user data, and a step in which the digital therapeutic generating device generates a personalized digital therapeutic for the user based on the user data.

[0012] Meanwhile, the digital therapeutic agent generation device is generated based on a combination of at least one digital therapeutic module, and the digital therapeutic module may include a digital therapeutic module (diagnosis / monitoring) and a digital therapeutic module (treatment).

[0013] Additionally, the digital therapeutics generation device can be generated by taking into account the possibility of conflict between digital therapeutics or the characteristics of user data that can be provided by the user.

[0014] According to another embodiment of the present invention, a digital therapeutics generation device that performs personalized digital therapeutics generation based on multi-source data analysis may be implemented to receive user data and generate a personalized digital therapeutic for the user based on the user data.

[0015] Meanwhile, the digital therapeutic agent generation device is generated based on a combination of at least one digital therapeutic module, and the digital therapeutic module may include a digital therapeutic module (diagnosis / monitoring) and a digital therapeutic module (treatment).

[0016] Additionally, the digital therapeutics generation device can be generated by taking into account the possibility of conflict between digital therapeutics or the characteristics of user data that can be provided by the user.

[0017] According to the present invention, a digital therapeutic can be developed by combining multiple digital therapeutic modules capable of providing digital therapeutic services.

[0018] In addition, according to the present invention, by controlling conflicts between treatment data of each of a plurality of digital therapeutics, treatment services can be provided to users of a plurality of digital therapeutics according to priority without conflicts between treatment data.

[0019] Figure 1 is a conceptual diagram illustrating a digital therapeutic agent generation system according to an embodiment of the present invention.

[0020] FIG. 2 is a conceptual diagram illustrating the operation of a digital therapeutic agent generation device according to an embodiment of the present invention.

[0021] Figure 3 is a conceptual diagram illustrating a method for generating a digital therapeutic agent according to an embodiment of the present invention.

[0022] FIG. 4 is a conceptual diagram illustrating a method for generating a personalized digital therapeutic according to another embodiment of the present invention.

[0023] Figure 5 is a conceptual diagram illustrating a method for generating a digital therapeutic agent according to an embodiment of the present invention.

[0024] Figure 6 is a conceptual diagram illustrating a management method for a user's digital therapeutic agent according to an embodiment of the present invention.

[0025] The following detailed description of the present invention refers to the accompanying drawings, which illustrate specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention, while different from each other, are not necessarily mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be modified and implemented from one embodiment to another without departing from the spirit and scope of the present invention. Furthermore, it should be understood that the positions or arrangements of individual components within each embodiment may also be modified without departing from the spirit and scope of the present invention. Accordingly, the following detailed description is not to be taken in a limiting sense, and the scope of the present invention is to be construed to encompass the scope of the claims and all equivalents thereof. Like reference numerals in the drawings represent the same or similar elements throughout the several aspects.

[0026] Hereinafter, various preferred embodiments of the present invention will be described in detail with reference to the attached drawings so that a person having ordinary skill in the art to which the present invention pertains can easily practice the present invention.

[0027]

[0028] Figure 1 is a conceptual diagram illustrating a digital therapeutic agent generation system according to an embodiment of the present invention.

[0029] In FIG. 1, a digital therapeutics generation system for generating a digital therapeutic is disclosed.

[0030] Referring to FIG. 1, the digital therapeutic agent creation system may include a user device (100), a digital therapeutic agent creation device (120), and an information security device (140).

[0031] The user device (100) can be implemented to generate user data for generating a digital therapeutic for the user, transmit the data to the digital therapeutic generation device (120), and receive a digital therapeutic adaptively determined according to the user.

[0032] User data may include various data used to create digital therapeutics for users. For example, user data may include biomarker data obtained through a user device (e.g., a smartphone or wearable device), user-input data, and data regarding the user's personal information (e.g., gender, age, etc.).

[0033] For example, the digital therapeutic delivered to the user device (100) may be in the form of an app, and the user may download and activate the digital therapeutic to the user device (100) to perform a digital therapeutic-based treatment procedure. Data generated through the digital therapeutic-based treatment procedure may be transmitted as feedback data back to the digital therapeutic generation device (120), allowing the operation of the digital therapeutic to be controlled according to the user's changes.

[0034] A digital therapeutic generation device (120) can be implemented to generate a digital therapeutic. The digital therapeutic generation device (123) can generate and provide a customized digital therapeutic to a user based on multi-source data analysis. The digital therapeutic generation device (120) can generate a digital therapeutic by combining multiple different digital therapeutic modules based on user data.

[0035] Additionally, the digital therapeutic agent creation device (120) can create a new digital therapeutic agent based on feedback data transmitted from the user and transmit it to the user device (100).

[0036] An information security device (140) may be implemented to secure information generated from a user device (100) and a digital therapeutic agent generation device (120).

[0037]

[0038] FIG. 2 is a conceptual diagram illustrating the operation of a digital therapeutic agent generation device according to an embodiment of the present invention.

[0039] In FIG. 2, an operation for generating a digital therapeutic by combining multiple different digital therapeutic modules is disclosed.

[0040] Referring to FIG. 2, a digital treatment module can be defined as an individual functional unit that can be utilized for diagnosing, monitoring, and treating a user's disease.

[0041] The digital treatment module can be divided into a digital treatment module for diagnosis and monitoring (diagnosis / monitoring) (200), a digital treatment module for treatment (treatment) (210), etc.

[0042] For example, the digital treatment module (diagnosis / monitoring) (200) may include an activity check module that checks the user's activity level, a sleep time check module that checks the user's sleep time, an eating check module that checks the user's eating, a fever check module that checks the user's fever, a biomarker check module that checks the user's biomarker, etc.

[0043] The digital treatment module (treatment) (210) may include an optimal sleep time recommendation module that determines sleep time, a diet recommendation module that provides recommendations for the user's diet, and a medication recommendation module that provides information on the user's medication, dosage, and timing of taking the medication.

[0044] Additionally, according to an embodiment of the present invention, the digital treatment module may be divided into a general digital treatment module (250) and a special digital treatment module (260).

[0045] A general digital treatment module (250) may be a module commonly applied to various diseases and utilized to create digital therapeutics. A special digital treatment module (260) may be a module utilized only for a specific disease and utilized to create digital therapeutics. For example, a digital treatment module for monitoring sleep, eating, etc. may be a general digital treatment module (250). A digital treatment module for managing a specific disease (e.g., diabetes) may be a special digital treatment module (260).

[0046] The digital therapeutic agent creation device can create a digital therapeutic agent by combining a general digital therapeutic agent module (250) and a special digital therapeutic agent module (260).

[0047] The above digital treatment module is an example, and various data treatment modules can be created depending on the data available, and existing digital therapeutics can adaptively change as digital treatment modules are added and their performance is improved.

[0048]

[0049] Figure 3 is a conceptual diagram illustrating a method for generating a digital therapeutic agent according to an embodiment of the present invention.

[0050] In FIG. 3, a method for generating a digital therapeutic in a digital therapeutic generating device is disclosed.

[0051] Referring to FIG. 3, the digital therapeutic agent creation device can determine a digital therapeutic module (diagnosis / monitoring) (300) for diagnosing and monitoring a disease and a digital therapeutic module (treatment) (320) for treating a disease.

[0052] For example, in the case of insomnia, a digital treatment module (diagnosis / monitoring) (300) for monitoring the user's sleep state, activity state, etc., and a digital treatment module (treatment) (320) for optimal sleep management and lifestyle management of the user can be combined to create a digital treatment (350) for insomnia.

[0053] For another example, in the case of migraine, a digital treatment module (diagnosis / monitoring) (300) for monitoring the user's sleep state, activity state, migraine cycle, external environment, etc., and a digital treatment module (treatment) (320) for determining the medication to be taken, dosage, and timing of taking when a migraine is expected to occur can be combined to create a digital treatment (350) for migraine.

[0054] The digital therapeutic thus generated can be provided to the user's device, and diagnosis / monitoring and treatment of the user's disease can be performed based on the digital therapeutic provided to the user's device.

[0055] The feedback data generated while the user uses the digital therapeutic is transmitted to the digital therapeutic generation device, and the digital therapeutic can be adaptively changed and transmitted based on the feedback data.

[0056]

[0057] FIG. 4 is a conceptual diagram illustrating a method for generating a personalized digital therapeutic according to another embodiment of the present invention.

[0058] In FIG. 4, a method for generating a personalized digital therapeutic by combining digital therapeutic modules is disclosed.

[0059] Referring to FIG. 4, the digital therapeutic agent generation device can generate a personalized digital therapeutic agent by determining a personalized digital therapeutic module based on an artificial intelligence engine.

[0060] The digital therapeutics creation device can determine the digital treatment required for the user based on user data, and provide a personalized digital therapeutic (450) to the user by combining digital therapeutic modules (400) suitable for the digital treatment.

[0061] For example, a digital therapeutics generation device may determine a user's sleep and dietary status based on user data, and provide a digital therapeutic (450) that combines a digital therapeutic module (400) for improving the user's sleep and dietary status. The digital therapeutic (450) personalized for the user may be provided as a single entity for multiple purposes (e.g., improving sleep and dietary status), or may be provided individually for multiple purposes.

[0062] A digital therapeutic generation device can generate a digital therapeutic by considering the characteristics of user data available to the user. For example, the device can select and provide an available digital therapeutic module (400) from among the available digital therapeutic modules (400) by considering the availability of specific data (heart rate data, blood pressure data) among the user data available to the user, the time available for user data provision, the reliability of the user data, etc.

[0063] For example, if the digital therapeutics generation device can receive breathing data during sleep as user data for insomnia treatment, the digital therapeutics generation device may include digital therapeutics module x in the digital therapeutics device (450), but if breathing data during sleep cannot be received, the digital therapeutics generation device may include digital therapeutics module y in the digital therapeutics device (450). As another example, if the time period in which user data can be acquired is the first time period, the digital therapeutics generation device may include digital therapeutics module z for performing digital therapy based only on data for the first time period in the digital therapeutics device (450), or may include an existing digital therapeutics module (400) in the digital therapeutics device (450) by tuning it based on the time period in which the user's user data can be provided.

[0064] Additionally, in order to provide a personalized digital therapeutic (450) to a user, it is necessary to determine whether there is a conflict between multiple digital therapeutics (or digital therapeutic modules).

[0065]

[0066] Figure 5 is a conceptual diagram illustrating a method for generating a digital therapeutic agent according to an embodiment of the present invention.

[0067] In FIG. 5, a method for processing digital therapeutics when a collision occurs between multiple digital therapeutics is disclosed.

[0068] Referring to FIG. 5, when a conflict occurs between digital treatment data A generated by digital treatment A (500) and digital treatment data B generated by digital treatment B (510), digital treatment data of the digital treatment can be generated by taking into account the conflict between the digital treatments.

[0069] Digital therapeutic A (500) may provide a meal algorithm for eating disorders as digital therapeutic data based on a digital therapeutic module, while digital therapeutic B (510) may provide a sleep algorithm for insomnia as digital therapeutic data based on a digital therapeutic module. For example, if the recommended sleep time of digital therapeutic B (510) overlaps with the meal time of digital therapeutic A (500), a conflict may arise between the solutions generated by the digital therapeutics, as sleep and meal cannot occur simultaneously.

[0070] As another example, a conflict may arise between drug A suggested by a digital therapeutic for disease A and drug B suggested by a digital therapeutic for disease B.

[0071] Therefore, when multiple digital therapeutics are provided to a user, a determination of the possibility of interference between digital therapeutic data of each of the multiple digital therapeutics can be performed on the digital therapeutic generation device.

[0072] Conflicts in digital therapeutic data of digital therapeutics can be classified according to the type of conflict, such as motion conflict (520) and drug conflict (530).

[0073] A motion conflict (520) may occur when a conflict arises between motions that must be performed based on digital therapeutic data from multiple digital therapeutics provided at a specific time. The digital therapeutic generation device can determine the possibility of motion conflict within the same time frame by analyzing motions between multiple digital therapeutic data provided to the user at different times.

[0074] A drug conflict (530) may occur when a conflict arises between medications that must be taken based on the digital therapeutic data of multiple digital therapeutics provided at a specific time. The digital therapeutic generation device can determine the possibility of drug conflict by considering the time of drug intake and the time of drug effect included in the multiple digital therapeutic data provided to the user at each time.

[0075] The digital therapeutics generation device can determine the possibility of motion conflict (520) and drug conflict (530), and if the possibility of motion conflict (520) and drug conflict (530) exists, can perform adjustments to the digital therapeutic data.

[0076] If there is a possibility of motion conflict (520), the digital therapeutic generation device can determine which motion to perform first based on motion priority. For example, in insomnia, sleep time and in eating disorders, meal time may be given relative priority. The relative priority may be determined based on the severity of the user's illness and the therapeutic effect of the motion on the user's illness. In other words, priorities may be determined differently for each user, allowing for different digital therapeutic data to be provided in the event of motion conflict.

[0077] Based on the determined priorities, higher-priority actions can be performed first in the event of conflicts between actions. Subsequently, actions that fail to perform can be either not performed or their execution times can be adjusted to accommodate their specific characteristics.

[0078] If the possibility of drug conflict exists, the digital therapeutics generation device can determine whether conflict avoidance is possible through dose adjustments for each drug. If dose adjustments are feasible, dose-adjusted digital therapeutic data can be provided through the digital therapeutic. If dose adjustments are not feasible, the priority of each drug can be considered to determine which drug should be administered first. For example, the relative priority of drugs can be determined by considering the severity of the disease and the therapeutic effect of the drug on the disease.

[0079] For drugs that are pushed back in priority to eliminate conflicting effects between these drugs, the time of administration may be adjusted to a later time.

[0080] According to an embodiment of the present invention, drug effects and drug side effects due to conflicts between multiple drugs can be determined as follows.

[0081] To consider drug effects and side effects of combinations of multiple drugs, a combination embedding value for a drug combination can be determined based on the individual embedding values ​​of each of the multiple drugs.

[0082] The individual embedding values ​​of a drug can be located on a two-dimensional embedding plane as drug composition 1 {effect, side effect}, drug composition 2 {effect, side effect}, and drug composition n {effect, side effect} based on the effects and side effects of the drug components that make up the drug.

[0083] According to an embodiment of the present invention, a combination embedding value for predicting a collision considering the effects and side effects of a combination drug is generated based on a combination of individual embedding values, and may be determined by considering the individual embedding values, individual embedding value density, and the relationship between individual embedding values.

[0084] Step 1: To determine the combined embedding value (700), the individual embedding values ​​of each of the multiple drugs may be positioned on the embedding plane. At this time, if a particular individual embedding value has a characteristic of being below a threshold effect or having a side effect that is not strong enough to be below a threshold side effect, the particular individual embedding value may be excluded.

[0085] Step 2: By considering the relationship between individual embedding values, the individual embedding values ​​of multiple drugs can be adjusted to determine whether the combination of drugs results in a change in efficacy (e.g., decreased efficacy, increased efficacy) or a change in side effects (e.g., decreased side effects, increased side effects). For example, if an effect is enhanced or a side effect is reduced, the individual embedding values ​​representing the degree of efficacy and side effects can be adjusted to adjust their positions on the embedding plane.

[0086] Step 3: The combined embedding values ​​can be clustered to form clusters reflecting effects and side effects. Dense clusters with a density above a threshold can be determined based on the density of individual embedding values ​​within the clusters. Clustering can be performed by effect or side effect. That is, the clustering scope can be set to be performed between identical / similar effects and identical / similar side effects, allowing for the determination of dense clusters by effect or side effect.

[0087] Based on the density of individual embedding values ​​within a dense cluster, a final combined embedding value is determined, and predictions can be made regarding the increase or decrease in specific side effects or effects when taking a combination of multiple drugs. For example, if the density of a dense cluster corresponding to a specific effect exceeds a critical density, an increase in effect can be predicted. Similarly, if the density of a dense cluster corresponding to a specific side effect exceeds a critical density, an increase in side effects can be predicted.

[0088]

[0089] Figure 6 is a conceptual diagram illustrating a management method for a user's digital therapeutic agent according to an embodiment of the present invention.

[0090] In FIG. 6, a method for managing a user's digital therapeutic is disclosed.

[0091] Referring to FIG. 6, multiple digital therapeutics are managed on a user device, and changes in disease caused by the digital therapeutics and effects caused by the digital therapeutics can be individually managed.

[0092] For example, a user may manage diseases A and B based on digital therapeutics A and B. It may be assumed that effects 1, 2, and 3 are expected based on digital therapeutics A, and effects 3, 4, and 5 are expected based on digital therapeutics B. In this case, effect 3 may be set as a common effect, while effects 1, 2, 4, and 5 may be set as individual effects.

[0093] For individual effects, the effects based on digital therapeutics A and B can be fed back to the digital therapeutic generator. For common effects, the effects based on both digital therapeutics A and B can be fed back to the digital therapeutic generator.

[0094] Predictions can be set for each of these individual effects and common effects, and the predictions can be visually presented, and information on whether the predictions are achieved by using the digital therapeutic is visually presented, allowing the user to visually confirm the effects of the digital therapeutic.

[0095] The digital therapeutics creation device can receive information on effects / changes based on treatment data as feedback, change the digital therapeutic module included in the digital therapeutic, update it as a digital therapeutic, and provide it to the user, or change the treatment data provided based on the digital therapeutic and provide it to the user.

[0096]

[0097] The embodiments of the present invention described above may be implemented in the form of program commands that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, etc., either singly or in combination. The program commands recorded on the computer-readable recording medium may be specially designed and configured for the present invention or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specifically configured to store and execute program commands, such as ROMs, RAMs, and flash memories. Examples of program commands include not only machine language codes generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter, etc. Hardware devices may be changed into one or more software modules to perform processing according to the present invention, and vice versa.

[0098] Although the present invention has been described above with specific details such as specific components and limited examples and drawings, these are provided only to help a more general understanding of the present invention, and the present invention is not limited to the above examples, and those with ordinary knowledge in the technical field to which the present invention pertains can make various modifications and changes based on this description.

[0099] Therefore, the idea of ​​the present invention should not be limited to the embodiments described above, and not only the scope of the patent claims described below but also all scopes equivalent to or equivalently modified from the scope of the patent claims are considered to fall within the scope of the idea of ​​the present invention.

Claims

1. A method for creating personalized digital therapeutics based on multi-source data analysis. A step in which a digital therapeutics creation device receives user data; and A method characterized in that the digital therapeutic agent generating device comprises a step of generating a digital therapeutic agent personalized for the user based on the user data.

2. In paragraph 1, The above digital therapeutic agent generation device is generated based on a combination of at least one digital therapeutic module, A method characterized in that the above digital treatment module includes a digital treatment module (diagnosis / monitoring) and a digital treatment module (treatment).

3. In paragraph 2, A method characterized in that the digital therapeutic agent generating device is generated by taking into account the possibility of conflict between digital therapeutic agents or the characteristics of user data that can be provided by the user.

4. A digital therapeutics creation device that performs customized digital therapeutics creation based on multi-source data analysis, Receive user data, A digital therapeutic agent generation device characterized in that it is implemented to generate a personalized digital therapeutic agent for a user based on the above user data.

5. In paragraph 4, The above digital therapeutic agent generation device is generated based on a combination of at least one digital therapeutic module, A digital therapeutics generation device characterized in that the above digital therapeutics module includes a digital therapeutics module (diagnosis / monitoring) and a digital therapeutics module (treatment).

6. In paragraph 5, A digital therapeutic agent generating device characterized in that the digital therapeutic agent generating device is generated by taking into account the possibility of conflict between digital therapeutic agents or the characteristics of user data that can be provided by the user.

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