WO2023137438A1

WO2023137438A1 - Methods and apparatuses for treating vasomotor symptoms based on sensor feedbacks

Info

Publication number: WO2023137438A1
Application number: PCT/US2023/060644
Authority: WO
Inventors: John Michael ENGEL; Aaron Daniel KRAMER; Kate Harriet Jane BRASHARES; Margaret Lois OAKES
Original assignee: Hello Therapeutics, Inc.
Priority date: 2022-01-14
Filing date: 2023-01-13
Publication date: 2023-07-20

Abstract

Aspects of the present disclosure include methods, systems, and non-transitory computer readable media including providing a plurality of questions associated with vasomotor symptoms to a user, receiving a plurality of answers associated with the plurality of questions from the user, receiving sensor data from at least one sensor measuring a physical state of the user, generating a treatment based on the plurality of answers and the sensor data, and providing the treatment to the user via a second graphical user interface.

Description

METHODS AND APPARATUSES FOR TREATING VASOMOTOR SYMPTOMS BASED ON SENSOR FEEDBACKS

CROSS REFERENCE TO RELATED APPLICATIONS

[001] The current application claims priority to, and the benefit of, United States Provisional Application No. 63/299,725 filed January 14, 2022 and entitled “METHODS AND APPARATUSES FOR TREATING VASOMOTOR SYMPTOMS BASED ON SENSOR FEEDBACKS,” the contents of which are hereby incorporated by reference in their entireties.

BACKGROUND

[002] Vasomotor symptoms may impact women experiencing menopause, cancer patients/survivors, patients who have had ovaries and/or uterus removed (i.e., full or partial hysterectomies), and/or insomniacs. Similar symptoms may also be experienced by men undergoing androgen deprivation therapy. For example, women undergoing menopause may experience physical, emotional, and/or psychological discomfort, such as night sweats, hot flashes, sleep problems, and mood changes to name a few. Conventional treatments, such as hormone therapy, may not be suitable or desirable for many people for a variety of reasons, including general safety concerns and specific concerns with certain medical histories (e.g., history of hormone-dependent cancers or venous thromboembolism), not preferred because of safety concerns related to hormone therapy, etc. Behavioral -based treatments may be inaccessible, expensive, and/or not widely available to fit individual needs. Therefore, improvement may be desirable.

SUMMARY

[003] This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the DETAILED DESCRIPTION. This summary is not intended to identify key features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

[004] Aspects of the present disclosure include methods, systems, and non-transitory computer readable media including providing a plurality of questions associated with vasomotor symptoms to a user, receiving a plurality of answers associated with the plurality of questions from the user, receiving sensor data from at least one sensor measuring a physical state of the user, generating a treatment based on the plurality of answers and the sensor data, and providing the treatment to the user via a second graphical user interface.

BRIEF DESCRIPTION OF THE DRAWINGS

[005] The features believed to be characteristic of aspects of the disclosure are set forth in the appended claims. In the description that follows, like parts are marked throughout the specification and drawings with the same numerals, respectively. The drawing figures are not necessarily drawn to scale and certain figures may be shown in exaggerated or generalized form in the interest of clarity and conciseness. The disclosure itself, however, as well as a preferred mode of use, further objects and advantages thereof, will be best understood by reference to the following detailed description of illustrative aspects of the disclosure when read in conjunction with the accompanying drawings, wherein:

[006] FIG. 1 illustrates an example of an environment for providing cognitive behavioral therapy (CBT) treatments in accordance with aspects of the present disclosure; [007] FIG. 2 illustrates an example of a process for initiating the CBT treatments in accordance with aspects of the present disclosure;

[008] FIG. 3 illustrates an example of a process for setting up the application for the CBT treatments in accordance with aspects of the present disclosure;

[009] FIG. 4 illustrates an example of questions provided by application for CBT treatments in accordance with aspects of the present disclosure;

[0010] FIG. 5 illustrates an example of a process for setting up the sensors for the CBT treatments in accordance with aspects of the present disclosure;

[0011] FIG. 6 illustrates examples of input interfaces associated with the application for CBT treatments in accordance with aspects of the present disclosure;

[0012] FIG. 7 illustrates an example of interfaces showing an explanation module in accordance with aspects of the present disclosure;

[0013] FIG. 8 illustrates another example of an interface showing an explanation module in accordance with aspects of the present disclosure;

[0014] FIG. 9 illustrates another example of an interface showing an explanation module in accordance with aspects of the present disclosure;

[0015] FIG. 10 illustrates an example of interfaces showing a fun fact screen and a pop quiz screen in accordance with aspects of the present disclosure; [0016] FIG. 11 illustrates an example of interfaces showing a reward screen and a level screen in accordance with aspects of the present disclosure;

[0017] FIG. 12 illustrates examples of outputs from the application for treating vasomotor symptoms in accordance with aspects of the present disclosure;

[0018] FIG. 13 illustrates examples of symbols used in the application for treating vasomotor symptoms in accordance with aspects of the present disclosure;

[0019] FIG. 14 illustrates an example of a method for treating vasomotor symptoms in accordance with aspects of the present disclosure; and

[0020] FIG. 15 illustrates an example of a computer system in accordance with aspects of the present disclosure.

DETAILED DESCRIPTION

[0021] The following includes definitions of selected terms employed herein. The definitions include various examples and/or forms of components that fall within the scope of a term and that may be used for implementation. The examples are not intended to be limiting.

[0022] Aspects of the present disclosure may include a system for providing cognitive behavioral therapy (CBT) to a user experiencing vasomotor symptoms. The system may receive one or more sensor inputs from devices worn or used by the user for detecting physical indications associated with vasomotor symptoms (in a preferred embodiment, such vasomotor symptoms include hot flashes and/or night sweats (HFNS)). Based on the sensor inputs, the system may adjust the CBT to the user.

[0023] In some aspects of the present disclosure, the system may provide treatments for menopausal and perimenopausal symptoms selected from one or more of the following, including hot flashes, night sweats, menopause-related depression, menopause-related insomnia, menopause-related sexual disorders/discomforts, menopause related anxiety, menopause-related brain fog, menopause-related weight gain, menopause symptoms, and other cognitive issues related to menopause. CBT may be effective in treating various symptoms of menopause, including hot flashes, night sweats, cognitive issues, anxiety and depression, insomnia, etc. CBT for menopause is suitable for women who are contraindicated for hormone therapy, including (but not limited to) those who are cancer survivors (e.g., breast cancer survivors), at risk for cancer, and/or have undergone a hysterectomy, surgical menopause, or other event(s) triggering menopausal symptoms. Some aspects of the present disclosure may be effective in treating HFNS due to non- menopausal symptoms, such as for men who are undergoing androgen replacement therapy.

[0024] In certain aspects of the present disclosure, the treatments generated by the system may be provided via an application. The treatment plan may combine a self-paced CBT intervention with an artificial intelligence driven and/or personalized health coach. The coach (also referred to as a digital doula) may support the digital prescription, provide encouragement to increase engagement, and communicate lifestyle interventions such as diet and exercise. The system may further provide community forums and educational resources.

[0025] In some aspects of the present disclosure, the system may include and/or provide one or more of the following: diagnostic tools, virtual/augmented reality, metaverse- enabled therapy, customizable music, gamification, video, audio, animation, individualized/customized therapy, group therapy, artificial intelligence/machine learning algorithms, data analytics, digital doula (e.g., artificial intelligence enabled coach/guide), artificial intelligence enabled and/or culturally competent avatars, real time therapy (i.e., available on demand), wearable device tracking (e.g., tracker and reactive), monitoring devices (carbon dioxide meter, glucose monitor, hormone monitor, etc.), connectivity to thermostat, visualization tools to present progress, communication with healthcare provider, cybersecurity interface, telemetry, real-time patient monitoring, on demand healthcare provider interface (e.g., chat, video conferencing, audio call, etc.), encryption of software, algorithm, and/or data, text support with healthcare provider, tracking tools (e.g., tracking frequency and/or durations of vasomotor symptoms), patient compliance reporting for physicians and/or healthcare providers, etc.

[0026] Referring to FIG. 1, in an aspect of the present disclosure, an example of an environment 100 for providing CBT treatments may include a system 112 configured to receive sensors input and/or provide treatments associated with the CBT based on the sensor input. The environment 100 may include a user 106 experiencing vasomotor symptoms. The environment 100 may include one or more sensors 108, preferably provided on a wearable device or garment, configured to detect physical indications associated with vasomotor symptoms. The environment 100 may include a mobile device 110 configured to display the treatments associated with the CBT. [0027] In some aspects of the present disclosure, the system 112 may include a processor 120 that executes instructions stored in a memory 126 for determining the CBT treatments as described below. The system 112 may include the memory 126.

[0028] In certain aspects, the mobile device 110 may include a processor 140 that executes instructions stored in a memory 146. The mobile device 110 may include the memory 146.

[0029] The term “processor,” as used herein, can refer to a device that processes signals and performs general computing and arithmetic functions. Signals processed by the processor can include digital signals, data signals, computer instructions, processor instructions, messages, a bit, a bit stream, or other computing that can be received, transmitted and/or detected. A processor, for example, can include microprocessors, microcontrollers, digital signal processors (DSPs), field programmable gate arrays (FPGAs), programmable logic devices (PLDs), state machines, gated logic, discrete hardware circuits, and other suitable hardware configured to perform the various functionality described herein. The term “memory,” as used herein, can include volatile memory and/or nonvolatile memory. Non-volatile memory can include, for example, ROM (read only memory), PROM (programmable read only memory), EPROM (erasable PROM), and EEPROM (electrically erasable PROM). Volatile memory can include, for example, RAM (random access memory), synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), and direct RAM bus RAM (DRRAM). Examples of the memory 126 may include one or more non-transitory computer readable media.

[0030] In certain aspects, the system 112 may include a communication component 122 configured to receive input data and provide output data. The system 112 may include an algorithm component 124 configured to determine CBT treatments based on input data as described below. One or more of the communication component 122 and/or the algorithm component 124 may be configured as hardware (e.g., application specific integrated circuit, application processors, field programmable gate arrays, etc.), software (e.g., instructions stored in the memory 126 and executed by the processor 120 of the system 112), or a combination thereof.

[0031] In an aspect, the communication component 122 of the system 112 may be configured to communicate with and/or control external devices such as thermostats. Information transmitted to and/or received from the communication component 122 may be encrypted. The communication component 122 may communicate with external portals (e.g., healthcare provider portals) to provide real time monitoring, support, etc.

[0032] In some aspects, the one or more sensors 108 may be configured to detect physical indications associated with vasomotor symptoms of the user 106. For example, the one or more sensors 108 may include a thermometer configured to measure the skin temperature or the internal temperature of the user 106, an ohmmeter (e.g., electrodermal sensor or other ambulatory skin conductance monitors) configured to measure the skin conductivity (e.g., sternal) of the user 106, a heart rate monitor configured to measure the heart rate and/or heart rate variability of the user 106, a sleep monitor configured to track the sleep pattern (e.g., amount of sleep, duration of continuous sleep, types of sleep (such as rapid-eye movement (REM) sleep and non-REM (NREM) sleep), frequency of waking up, etc.) of the user 106, and/or a pulse oximeter configured to measure the blood oxygen level of the user 106. Other sensors may also be used to measure the physical indications of the user 106.

[0033] In some aspects, the one or more sensors 108 may include wearable sensors (e.g., watches, rings, bracelets, brassieres, undergarments, anklets, necklaces, etc.) or other types of sensors (e.g., handheld sensors, pacemakers, etc.). The one or more sensors 108 may be tracking sensors (i.e., that monitors certain physical states). The one or more sensors 108 may include reactive features such as providing cooling sensations when the user 106 experiences hot flashes.

[0034] In certain aspects of the present disclosure, the mobile device 110 may include a communication component 142 configured to receive input data and provide output data via one or more internal or external graphic user interfaces (GUI) 148 (e.g., display, keyboard, keypad, mouse, touchscreen, microphone, speaker, etc.). The system 112 may include an application 144 configured to receive information from the GUI 148 and/or display information via the GUI 148. The GUI 148 may be configured to provide video, audio, animation, etc. The GUI 148 may support augmented reality or virtual reality when interfacing with the user 106. One or more of the communication component 142 and/or the application 144 may be configured as hardware (e.g., application specific integrated circuit, application processors, field programmable gate arrays, etc.), software (e.g., instructions stored in the memory 146 and executed by the processor 140 of the mobile device 110), or a combination thereof. [0035] In some aspects, the application 144 may be implemented as a standalone application on the mobile device 110. Alternatively or additionally, the application 144 may be a web-based application executed via a web browser. The application may provide calming/relaxing music.

[0036] In one aspect of the present disclosure, the mobile device 110 may be a mobile phone, a smart phone, a personal digital assistant, a tablet, a laptop, a smartwatch, or other suitable devices. In other aspects, the mobile device 110 may be a desktop computer or an all-in-one computer.

[0037] During operation, in some aspects of the present disclosure, the communication component 122 and/or the system 112 may provide one or more questions or prompts 130 to the user 106 relating to vasomotor symptoms. Examples of the one or more questions or prompts 130 may include familiarity with vasomotor symptoms and/or CBT, severity of vasomotor symptoms, lifestyle, medical history, etc., relating to the user 106. The one or more questions or prompts 130 may be provided to an external device, the mobile device 110, or other means. In response, the communication component 122 and/or the system 112 may receive one or more answers 132 associated with the one or more questions or prompts 130. The one or more answers 132 may be provided by the user 106 via an external device (e.g., the mobile device 110) and/or by a medical professional examining the user 106.

[0038] In one aspect of the present disclosure, the communication component 122, the algorithm component 124, and/or the system 112 may receive sensor data 134 from one or more sensors 108. The sensor data 134 may include skin temperature, skin conductivity, sternal skin conductivity, core body temperature, heart rate variability, heart rate, sleep pattern (e.g., amount of sleep, duration of continuous sleep, types of sleep (such as rapid-eye movement (REM) sleep and non-REM (NREM) sleep), frequency of waking up, etc.), blood oxygen level, etc. The sensor data 134 may be indicative of the vasomotor symptoms of the user 106. For example, the skin temperature and/or the core body temperature may be correlated with the severity of the vasomotor symptoms (e.g., higher skin temperature may indicate more severe vasomotor symptoms). The skin conductivity may be correlated with the severity of the vasomotor symptoms (e.g., higher skin conductivity, due to increased sweating, may indicate more severe vasomotor symptoms). The heart rate variability and/or the heart rate may be correlated with the severity of the vasomotor symptoms (e.g., higher heart rate variability and/or the heart rate may indicate more severe vasomotor symptoms). The sleep pattern may be correlated with the severity of the vasomotor symptoms (e.g., less sleep may indicate more severe vasomotor symptoms). The blood oxygen level may be correlated with the severity of the vasomotor symptoms (e.g., lower blood oxygen level may indicate more severe vasomotor symptoms). Other metrics may also be measured according to aspects of the present disclosure.

[0039] In some aspects, the sensor data 134 may be collected to track a trend, progress, changes, etc. The sensor data 134 may be used for data analytics.

[0040] In an aspect of the present disclosure, the algorithm component 124 and/or the system 112 may determine one or more CBT treatments 136 for the user 106 based on the one or more answers 132 and/or sensor data 134. In some instances, the system 112 may periodically (e.g., every day, every hour, every minute, etc.) receive the sensor data 134 from the one or more sensors 108. As a result, the algorithm component 124 and/or the system 112 may generate new CBT treatments, update existing CBT treatments, and/or reduce CBT treatments based on the periodic feedback of the sensor data 134. In some instances, the system 112 may receive the sensor data 134 directly from the one or more sensors 108. In other instances, the system 112 may receive the sensor data 134 via one or more intermediate devices, such as the mobile device 110.

[0041] In certain aspects of the present disclosure, the algorithm component 124 may implement artificial intelligence (Al) and/or machine learning (ML) to perform the determination. For example, the AI/ML may be trained with a sample dataset to generate CBT treatments. The sensor data 134 may be used for training data.

[0042] In certain aspects of the present disclosure, the communication component 122 and/or the system 112 may be configured to transmit the one or more CBT treatments 136 to the mobile device 110. Further, the communication component 122 and/or the system 112 may transmit other information to the mobile device 110. For example, the communication component 122 and/or the system 112 may transmit a first module 150 explaining CBT. The communication component 122 and/or the system 112 may transmit a second module 152 explaining menopause. The communication component 122 and/or the system 112 may transmit a third module 154 explaining HFNS and CBT. The communication component 122 and/or the system 112 may transmit a fourth module 156 including treatment plan, procedures, animations, quotations, encouragements, graphs, interactive games/activities, exercise directions, etc., for managing hot flushes. The communication component 122 and/or the system 112 may transmit a fifth module 158 including treatment plan, procedures, animations, quotations, encouragements, graphs, interactive games/activities, exercise directions, etc., for managing sleep and/or night sweats. The communication component 122 and/or the system 112 may transmit a sixth module 160 including review and maintenance strategies. The modules need not be transmitted in any particular sequence or in any particular order. For example, the communication component 122 and/or the system 112 may transmit the fifth module 158 without having transmitted any of Modules 1-4.

[0043] In some aspects, examples of the one or more CBT treatments 136 may include one or more of daily lessons (e.g., a digital doula coaching the user 106 through lessons using animations), faces of menopause (e.g., different avatars describing menopause experiences), motivational quotes (e.g., “You got this!” or “Things are hard but you can stick with it!”), fun facts (e.g., surprising and/or entertaining facts about menopause), daily symptom slider (e.g., an interface allowing the user 106 to input the frequency, types, severity, and/or disruption caused by the vasomotor symptom), diary (e.g., an interface providing the user 106 to input voice or textual information reflecting the vasomotor symptoms and or the CBT treatment process), reminders and/or notifications for the user 106 to do daily exercises, homework and/or assignments for the user 106 (e.g., games and/or interactive activities to increase stickiness and/or compliance, entry of positive words, etc.), relaxation exercises (e.g., calming breathing exercises, personalized visualizations, etc.), digital doula (e.g., personalized Al-enabled avatar to teach, encourage, and/or increase compliance), progression (e.g., visual and/or textual representation of progress and observable trends), quiz (e.g., used to measure knowledge and/or compliance), tokens (e.g., earned as the user 106 engages in various aspects of the program), and/or levels (e.g., advancement based on the number of tokens the user 106 has earned, with higher levels indicating higher engagement and/or mastery).

[0044] In alternative aspects, the mobile device 110 may perform some or all of the functions of the system 112. For example, the mobile device 110 may receive the sensor data 134 and/or generate the one or more CBT treatments 136.

[0045] In some aspects, the system 112 may detect an occurrence of hot flashes by the user 106 via the one or more sensors 108. In response, the system 112 may transmit control signals to a thermostat to lower the room temperature of the room where the user 106 is in. In other aspects, the system 112 may detect an occurrence of insomnia via the one or more sensors 108. In response, the system 112 may transmit control signals to the mobile device 110 to play a calming music or other stimulus to treat the insomnia. In another aspect, the system 112 may detect elevated heart rate of the user 106 via the one or more sensors 108. In response, the system 112 may transmit control signals to the mobile device 110 to provide encouraging words or other stimulus to treat the elevated heart rate. Other variations of treatments may also be implemented according to aspects of the present disclosure.

[0046] Turning to FIG. 2, and additionally referencing FIG. 1, in some aspects of the present disclosure, a diagram 200 illustrates an example of a process for initiating an exemplary CBT treatment. At 202, a user 106, such as the user 106 (e.g., “Maisy”), may initiate the application 144 for determining CBT treatments. The user 106 may be experiencing vasomotor symptoms caused by menopause. At 204, the application 144 may provide a menopause diagnostic form. Through the application 144, the user 106 may complete the menopause diagnostic form. Based on the results of the diagnostic form, at 206, the system 112 may determine that the user 106 indicates perimenopause or menopause, and experiences vasomotor symptoms such as HFNS. At 208, the system 112 may generate a Health Insurance Portability and Accountability Act (HIPAA) compliant diagnostic report and/or prescription for a physician of the user 106. At 210, the user 106 may provide the diagnostic report to the physician. Alternatively or additionally, the system 112 may provide the diagnostic report to the physician with the consent of the user 106. At 212, the physician may prescribe the application 144 for the user 106 to treat vasomotor symptoms. At 214, the user 106 may log into the application 144 with a prescribed prescription code provided by the physician and/or another healthcare provider.

[0047] Turning to FIG. 3, and additionally referencing FIGs. 1 and 2, in some aspects of the present disclosure, a diagram 300 illustrates an example of a process for setting up the application 144 for an exemplary CBT treatment. At 302, after the user 106 (i.e., Maisy) obtains the prescription code to access the application 144, the user 106 may personalize the application 144 by selecting an avatar (among one or more avatars) for the digital doula. The digital doula may be Al-enabled. At 304, the user 106 may select a language for the application (e.g., English) and/or a name for the digital doula (e.g., Alex). The digital doula may assist the user 106 through the application 144. [0048] Turning to FIG. 4, and additionally referencing FIGs. 1 and 2, in some aspects of the present disclosure, a diagram 400 illustrates an example of one or more questions or prompts 130 provided by application 144 for CBT treatments. The one or more questions or prompts 130 may include short answer questions, multiple choice questions, true or false questions, etc. In response to the one or more questions or prompts 130, the user 106 may provide the one or more answer 132 to the system 112 via the application 144. In one example, the answer to the first question may determine whether the application 144 will provide a background on CBT (e.g., the first module 150). The answer to the second question may determine a level of cheerleading, encouragement, and/or praise. The answer to the third question may determine whether there is audio accompanying the text of the digital doula. The answer to the fourth question may determine the CBT treatment schedule, reminders, projects, exercises, anticipated treatment end date, etc. Alternatively or additionally, the user 106 may select an end date (e.g., fixed minimum based on clinical study) and the application 144 may determine the number of days for the CBT treatments. The answer to the fifth question may determine how the digital doula interacts with the user 106. For example, the digital doula may state: “If you stick to your schedule, you’ll be much less (annoy ed/hopeless/angry) by a certain day"' The day may be a national holiday (e.g., “National Bubble Wrap Appreciation Day” on January 29^th). The statement may create an emotional attachment and/or increase the chance that the user 106 may share a goal with a family member or friend.

[0049] Turning to FIG. 5, and additionally referencing FIGs. 1 and 2, in some aspects of the present disclosure, a diagram 500 illustrates an example of a process for setting up the one or more sensors 108 for the CBT treatments. At 502, the digital doula may prompt the user 106 to connect the one or more sensors 108 with the application 144 and/or the system 112. The one or more sensors 108 may include a thermometer configured to measure the skin temperature or the internal temperature of the user 106, an ohmmeter (e.g., an electrodermal sensor or ambulatory skin conductance monitor) configured to measure the skin conductivity (e.g., sternal) of the user 106, a heart rate monitor configured to measure the heart rate and/or heart rate variability of the user 106, a sleep monitor configured to track the sleep pattern (e.g., amount of sleep, duration of continuous sleep, types of sleep (such as rapid-eye movement (REM) sleep and non-REM (NREM) sleep), frequency of waking up, etc.) of the user 106, and/or a pulse oximeter configured to measure the blood oxygen level of the user 106. Other sensors may also be used to measure the physical indications of the user 106. At 504, the one or more sensors 108 may measure physical attributes associated with the user 106 as described above. The one or more sensors 108 may be worn by the user 106.

[0050] In some aspects of the present disclosure, the algorithm component 124 may receive the sensor data 134, and generate prompts, reminders, praises, and/or encouragements to increase engagement of the user 106. The prompts, reminders, praises, and/or encouragements may be displayed by the application 144 via the GUI 148. One or more metrics may be collected each day. A combination of the metrics may generate a daily control score. In some cases, the daily control score may not be generated if a number of the sensor data 134 does not exceed a predetermined threshold (e.g., if Maisy forgets to wear the sensor overnight to track sleep or fails to answer questions, the daily control score may not be calculated). For each day that there is enough data to calculate the daily control score, the user 106 may earn one or more tokens. After the user 106 earns a predetermined amount of tokens, the user 106 may advance to a next level. Reaching high levels may generate positive affirmations of commitment, progress, and/or mastery.

[0051] FIG. 6 illustrates examples of input interfaces associated with the application 144 for CBT treatments. Additionally referencing FIGs. 1 and 2, in some aspects of the present disclosure, a first interface 600 shows an example of an input interface by the application 144 for the user 106 to input daily frequency of vasomotor symptoms. A second interface 630 shows an example of an input interface by the application 144 for the user 106 to input daily disruption caused by the vasomotor symptoms. A third interface 660 shows an example of an input interface by the application 144 for the user 106 to input daily reflection by dictating (audio-to-text), audio (recording), and/or type (text entry). The user 106 may have the options to completely skip the third interface 660, or temporarily skip the third interface 660.

[0052] In some implementations, one or more of the daily frequency of vasomotor symptoms and/or the daily disruption caused by the vasomotor symptoms may be automatically determined by the algorithm component 124 of the system 112 based on the sensor data 134. For example, the algorithm component 124 may determine the number of daily frequency of vasomotor symptoms and/or the severity of the daily disruption cause by the vasomotor symptoms based on a number of hot flashes/night sweats, a number of sleep disruptions, or other factors measured by the one or more sensors 108.

[0053] FIG. 7 illustrates an example of interfaces 700 showing an explanation module. In some aspects, the application 144 may present an explanation module (such as the first module 150) to explain CBT. When the application 144 shows the one or both of the interfaces 700 via the GUI 148, the digital doula may provide a passage 750 (via texts or audio) to explain CBT.

[0054] FIG. 8 illustrates another example of an interface 800 showing an explanation module. In some aspects, the application 144 may present an explanation module (such as the first module 150) to explain CBT. When the application 144 shows the interface 800 via the GUI 148, the digital doula may provide a passage 850 (via texts or audio) to explain CBT.

[0055] FIG. 9 illustrates another example of an interface 900 showing an explanation module. In one aspect, the application 144 may present an explanation module (such as the first module 150) to explain CBT. When the application 144 shows the interface 900 via the GUI 148, the digital doula may provide a passage 950 (via texts or audio) to explain CBT.

[0056] FIG. 10 illustrates an example of interfaces 1000 showing a fun fact screen 1010 and a pop quiz screen 1020. In certain aspects, the application 144 may present a treatment module (such as the fourth module 156 and/or the fifth module 158) to assist the user 106 in mitigating vasomotor symptoms. The digital doula may provide a passage 1050 (via texts or audio) associated with the interfaces 1000 showing the fun fact screen 1010 and the pop quiz screen 1020.

[0057] FIG. 11 illustrates an example of interfaces 1100 showing a reward screen 1110 and a level screen 1120. In some aspects, the application 144 may present a treatment module (such as the fourth module 156 and/or the fifth module 158) to assist the user 106 in mitigating vasomotor symptoms. The treatment module may reward the user 106 with tokens after completing exercises, pop quizzes, reading facts, finishing courses, playing games, etc., as shown on the reward screen 1110. After gaining a predetermined amount of tokens, the treatment module may advance the level of the user 106 as shown on the level screen 1120. One or both of the reward screen 1110 and/or the level screen 1120 may be replayed by the user 106. The reward screen 1110 and/or the level screen 1120 may be presented to indicate the progress of the user 106 and/or reinforce the sense of progress of the user 106. The digital doula may provide a passage 1150 (via texts or audio) associated with the interfaces 1100 explaining the reward screen 1110 and/or the level screen 1120.

[0058] FIG. 12 shows examples of outputs 1200 from the application 144 for treating vasomotor symptoms. In some aspects, the application 144 may output one or more of a trend associated with the CBT treatments, a treatment control score (e.g., menopausal control score), compliance/efficacy (i.e., data suitable for analysis by a physician to determine continuing courses of treatment), anonymous compliance/efficacy (e.g., data suitable for analysis by a healthcare payer to determine the benefits of the treatment), aggregated dataset, sensors inputs and/or relevance to vasomotor symptoms, audio diary exportation (e.g., audio files), documents relating to lessons and/or written diary, gratitude word cloud, or other outputs.

[0059] FIG. 13 shows examples of symbols 1300 used in the application 144 for treating vasomotor symptoms. The symbols 1300 may be used in treatment plan, procedures, animations, quotations, encouragements, graphs, interactive games/activities, exercise directions, etc. The symbols 1300 may be symbols used in Microsoft® PowerPoint®.

[0060] Turning to FIG. 14, an example of a method 1400 for treating vasomotor symptoms may be performed by one or more of the processor 120, the communication component 122, the algorithm component 124, and/or the memory 126 of the system 112. [0061] At block 1402, the method 1400 may provide a plurality of questions associated with vasomotor symptoms to a user. For example, the processor 120, the communication component 122, and/or the memory 126 of the system 112 may provide the one or more questions or prompts 130 to the user 106 as described above. The processor 120, the communication component 122, and/or the memory 126 may be configured to and/or define means for providing a plurality of questions or prompts associated with vasomotor symptoms to a user.

[0062] At block 1404, the method 1400 may receive a plurality of answers associated with the plurality of questions from the user. For example, the processor 120, the communication component 122, and/or the memory 126 of the system 112 may receive the one or more answers 132 from the user 106 as described above. The processor 120, the communication component 122, and/or the memory 126 may be configured to and/or define means for receiving a plurality of answers associated with the plurality of questions from the user. [0063] At block 1406, the method 1400 may optionally generate a first treatment based on the plurality of answers. For example, the processor 120, the algorithm component 124, and/or the memory 126 of the system 112 may generate CBT treatments as described above. The processor 120, the algorithm component 124, and/or the memory 126 of the system 112 may be configured to and/or define means for generating a first treatment based on the plurality of answers.

[0064] At block 1408, the method 1400 may receive sensor data from at least one sensor measuring a physical state of the user. For example, the processor 120, the communication component 122, and/or the memory 126 of the system 112 may receive sensor data 134 from the one or more sensors 108 measuring a physical state of the user 106 as described above. The processor 120, the communication component 122, and/or the memory 126 of the system 112 may be configured to and/or define means for receiving sensor data from at least one sensor measuring a physical state of the user.

[0065] At block 1410, the method 1400 may generate a second treatment based on the plurality of answers and the sensor data. For example, the processor 120, the algorithm component 124, and/or the memory 126 of the system 112 may generate the one or more CBT treatments 136 as described above. The processor 120, the algorithm component 124, and/or the memory 126 of the system 112 may be configured to and/or define means for generating a second treatment based on the plurality of answers and the sensor data.

[0066] At block 1412, the method 1400 may provide the second treatment to the user via a second graphical user interface. For example, the processor 120, the communication component 122, and/or the memory 126 of the system 112 may provide the one or more CBT treatments 136 to the user 106 as described above. The processor 120, the communication component 122, and/or the memory 126 of the system 112 may be configured to and/or define means for providing the second treatment to the user via a second graphical user interface.

[0067] In certain embodiments, the method 1400 may generate a single treatment based on the plurality of answers and the sensor data, as depicted at blocks 1410 and 1412, without generating a first treatment as depicted in block 1406. In other words, block 1406 may be considered optional in certain embodiments.

[0068] Aspects of the present disclosures may be implemented using hardware, software, or a combination thereof and may be implemented in one or more computer systems or other processing systems. In an aspect of the present disclosures, features are directed toward one or more computer systems capable of carrying out the functionality described herein. An example of such the computer system 1500 is shown in FIG. 15. In some examples, the system 112 and/or the mobile device 110 may be implemented as the computer system 1500 shown in FIG. 15. The system 112 and/or the mobile device 110 may include some or all of the components of the computer system 1500.

[0069] The computer system 1500 includes one or more processors, such as processor 1504. The processor 1504 is connected with a communication infrastructure 1506 (e.g., a communications bus, cross-over bar, or network). Various software aspects are described in terms of this example computer system. After reading this description, it will become apparent to a person skilled in the relevant art(s) how to implement aspects of the disclosures using other computer systems and/or architectures.

[0070] The computer system 1500 may include a display interface 1502 that forwards graphics, text, and other data from the communication infrastructure 1506 (or from a frame buffer not shown) for display on a display unit 1550. Computer system 1500 also includes a main memory 1508, preferably random access memory (RAM), and may also include a secondary memory 1510. The secondary memory 1510 may include, for example, a hard disk drive 1512, and/or a removable storage drive 1514, representing a floppy disk drive, a magnetic tape drive, an optical disk drive, a universal serial bus (USB) flash drive, etc. The removable storage drive 1514 reads from and/or writes to a removable storage unit 1518 in a well-known manner. Removable storage unit 1518 represents a floppy disk, magnetic tape, optical disk, USB flash drive etc., which is read by and written to removable storage drive 1514. As will be appreciated, the removable storage unit 1518 includes a computer usable storage medium having stored therein computer software and/or data. In some examples, one or more of the main memory 1508, the secondary memory 1510, the removable storage unit 1518, and/or the removable storage unit 1522 may be a non-transitory memory.

[0071] Alternative aspects of the present disclosures may include secondary memory 1510 and may include other similar devices for allowing computer programs or other instructions to be loaded into computer system 1500. Such devices may include, for example, a removable storage unit 1522 and an interface 1520. Examples of such may include a program cartridge and cartridge interface (such as that found in video game devices), a removable memory chip (such as an erasable programmable read only memory (EPROM), or programmable read only memory (PROM)) and associated socket, and the removable storage unit 1522 and the interface 1520, which allow software and data to be transferred from the removable storage unit 1522 to computer system 1500.

[0072] Computer system 1500 may also include a communications circuit 1524. The communications circuit 1524 may allow software and data to be transferred between computer system 1500 and external devices. Examples of the communications circuit 1524 may include a modem, a network interface (such as an Ethernet card), a communications port, a Personal Computer Memory Card International Association (PCMCIA) slot and card, etc. Software and data transferred via the communications circuit 1524 are in the form of signals 1528, which may be electronic, electromagnetic, optical or other signals capable of being received by the communications circuit 1524. These signals 1528 are provided to the communications circuit 1524 via a communications path (e.g., channel) 1526. This path 1526 carries signals 1528 and may be implemented using wire or cable, fiber optics, a telephone line, a cellular link, an RF link and/or other communications channels. In this document, the terms “computer program medium” and “computer usable medium” are used to refer generally to media such as the removable storage unit 1518, a hard disk installed in hard disk drive 1512, and signals 1528. These computer program products provide software to the computer system 1500. Aspects of the present disclosures are directed to such computer program products.

[0073] Computer programs (also referred to as computer control logic) are stored in main memory 1508 and/or secondary memory 1510. Computer programs may also be received via communications circuit 1524. Such computer programs, when executed, enable the computer system 1500 to perform the features in accordance with aspects of the present disclosures, as discussed herein. In particular, the computer programs, when executed, enable the processor 1504 to perform the features in accordance with aspects of the present disclosures. Accordingly, such computer programs represent controllers of the computer system 1500.

[0074] In an aspect of the present disclosures where the method is implemented using software, the software may be stored in a computer program product and loaded into computer system 1500 using removable storage drive 1514, hard disk drive 1512, or the interface 1520. The control logic (software), when executed by the processor 1504, causes the processor 1504 to perform the functions described herein. In another aspect of the present disclosures, the system is implemented primarily in hardware using, for example, hardware components, such as application specific integrated circuits (ASICs). Implementation of the hardware state machine so as to perform the functions described herein will be apparent to persons skilled in the relevant art(s).

[0075] It will be appreciated that various implementations of the above-disclosed and other features and functions, or alternatives or varieties thereof, may be desirably combined into many other different systems or applications. Also that various presently unforeseen or unanticipated alternatives, modifications, variations, or improvements therein may be subsequently made by those skilled in the art which are also intended to be encompassed by the following claims.

Claims

CLAIMS WHAT IS CLAIMED IS:

1. A method for determining cognitive behavioral therapy treatments, comprising: providing a plurality of questions associated with vasomotor symptoms to a user; receiving a plurality of answers associated with the plurality of questions from the user; receiving sensor data from at least one sensor measuring a physical state of the user; generating a treatment based on the plurality of answers and the sensor data; and providing the treatment to the user via a second graphical user interface.

2. The method of claim 1, further comprising generating a daily control score based on at least one of the plurality of questions or the sensor data.

3. A system, comprising: a memory including instructions; and a processor configured to execute the instructions that cause the system to: provide a plurality of questions associated with vasomotor symptoms to a user; receive a plurality of answers associated with the plurality of questions from the user; receive sensor data from at least one sensor measuring a physical state of the user; generate a treatment based on the plurality of answers and the sensor data; and provide the treatment to the user via a second graphical user interface.

4. The system of claim 3, wherein the processor is further configured to generate a daily control score based on at least one of the plurality of questions or the sensor data.

5. A non-transitory computer readable medium comprising instructions that, when executed by a processor of a system, cause the processor to: provide a plurality of questions associated with vasomotor symptoms to a user; receive a plurality of answers associated with the plurality of questions from the user; receive sensor data from at least one sensor measuring a physical state of the user; generate a treatment based on the plurality of answers and the sensor data; and provide the treatment to the user via a second graphical user interface.

6. The non-transitory computer readable medium of claim 5, further comprising instructions for generating a daily control score based on at least one of the plurality of questions or the sensor data.