System and method of real-time health care

Abstract

The present invention provides an automated system for real-time health care; the system comprising: a real-time communications layer integrated with automation engine, an assessment module, an intervention module, and a monitoring / prediction module; the real-time communications layer unifying multiple communication channels; the assessment module for determining a user's health status in response to input from the user and / or user's healthcare practitioner; the intervention module for initiating one or more interventions related to improving the user's health status based on the user's health status determined by the assessment engine; the monitoring / prediction module to predict the user's health progress based on user's input and optionally past user data; and the automation engine comprising predictive analytics and artificial intelligence to manage communications and / or trigger one or more of the assessment module, intervention module and monitoring / prediction module in response to the communications. Also provided are methods of real-time health care.

Description

[0001] SYSTEM AND METHOD OF REAL-TIME HEALTH CARE

[0002] FIELD OF THE INVENTION

[0003] The present invention generally relates to health services and more particularly, the present invention relates to a computer-implemented real-time system and method of health care.

[0004] BACKGROUND

[0005] The current traditional health services provided by various health professionals (e.g., physicians, nurse practitioners and therapists) are primarily achieved through face to face interactions with patients during regular scheduled appointments or follow-up conversations via email and telephone. A substantial problem associated with traditional treatment of health conditions is a lack of continuous health care in between the periods during which an individual receives traditional health services, known as “care gaps”. Types of care gaps in health care include, a lack of monitoring; the absence of immediate support; limited access to resources; inconsistent adherence to medication; and isolation and disconnection.

[0006] As a consequence of these care gaps, there is suboptimal management and treatment of health symptoms for many individuals, with some receiving no treatment at all. The absence of regular health care frequently results in increased hospitalizations, disability, and frequency of medical visits. Accordingly, there is a need in the art to address these healthcare gaps.

[0007] BRIEF DESCRIPTION OF FIGURES

[0008] FIG 1 provides a flow-chart of the steps of the health care method according to an embodiment of the present invention.

[0009] FIG 2 illustrates an exemplary onboarding assessment of an embodiment of the present invention.

[0010] FIG 3 illustrates interface listing various assessments of an embodiment of the present invention.

[0011] FIG 4 illustrates user interface of an embodiment of the present invention providing patient specific statistics related to mental health, physical health and quality of life. FIG 5 illustrates a user interface of an embodiment of the present invention for managing patient specific assessments, interventions and monitoring.

[0012] FIG 6 illustrates an interface of an embodiment of the present invention providing patient specific summary of interventions.

[0013] FIG 7 illustrates an interface providing all patient status and workflow statistics.

[0014] FIG 8 illustrates a interface of an embodiment of the present invention providing a listing of monitoring protocols.

[0015] FIG 9 illustrates interfaces of an embodiment of the present invention requesting patient / user input.

[0016] FIG 10 illustrates an example of a physical exercise prompt communicated to the computing device of an individual.

[0017] FIG 11 illustrates an interface of an embodiment of the present invention for creation of patient specific notes.

[0018] FIG 12 illustrates an exemplary data summary page for a user and an exemplary dashboard of an embodiment of the present invention.

[0019] FIG 13 illustrates the multi-modal in / multi modal out of components of the system of an embodiment of the present invention.

[0020] FIG 14 illustrates the components of the system of an embodiment of the present invention.

[0021] FIG 15 illustrates the decoupling Personal health information and the system of an embodiment of the present invention.

[0022] FIG 16 shows an example overview of the role of the event-driven architecture according to an embodiment of the present invention.

[0023] FIG 17 provides an overview of the event communication throughout a computer-implemented real-time system of health care according to an embodiment. In this embodiment, an event broker dispatches events from producers to consumers. Events may include but are not limited to notifications, updates, and required interventions. In some embodiments, a producer may be assessment module, intervention module, or prediction module. Consumers may include the conversation user interface, automation system, or master data storage device.

[0024] FIG 18 illustrates the notification platform and channels of an embodiment of the invention. FIG 19 illustrates an exemplary chat.

[0025] FIG 20 illustrates interaction of caregivers and users with the system of an embodiment of the invention. This embodiment uses a reliable framework (Firebase) to extract AIM content from the database server, trigger a real-time push notification via Firebase Cloud Messaging to distribute AIM to the users. The users on reception of the notification can identify what AIM to present to the user.

[0026] The figures depict various embodiments of the present invention for purposes of illustration only. A person skilled in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the invention described herein.

[0027] DETAILED DESCRIPTION

[0028] The present invention provides a system and method of real-time health care. In certain embodiments, the present invention provides a user with individualized health interventions based on real-time health status of the user. Health care may include but is not limited to health care related to illness and infections; woman’s health; allergy and asthma; heart health; sexual health and / or mental health.

[0029] Non-limiting examples of health care related to illness and infections include cough, cold, sinus, pink eye, cold sore, covid-19 and flu. Non-limiting examples of woman’s health include birth control, urinary tract infection, prescription morning after pill and yeast infections. Non-limiting example of health care related to allergy and asthma include asthma medication refills and seasonal allergies. Non-limiting example of health care related to heart health is blood pressure medication refills. Non-limiting examples of sexual health include erectile dysfunction and genital herpes.

[0030] Computer-implemented real-time method of health care

[0031] The present invention provides a computer-implemented real-time method of health care. A nonlimiting example of the steps of the method is set forth in FIG.1.

[0032] The method comprises a. receiving, by a server computing device, input regarding an individual’s health status, the health status may relate to health status generally, a specific type of health status such as mental health status, or a specific health issue such as allergy or asthma; b. determining, by the server computing device, based on the input regarding the individual’s health status and any required interventions; c. communicating, by the server computing device, to a computing device of the individual, the health status and any required interventions; and optionally d. determining, by the server computing device; any change in the individual’s health status in response to any required interventions. In specific embodiments, the health status relates to mental health status.

[0033] In certain embodiments, step d comprises receiving, by a server computing device, new input regarding the individual’s health status and comparing the new input with previously collected input to determine if there has been a change in health status. In certain embodiments, the method further comprises e. adjustment of any required interventions in response to a change or lack of change in health status. The steps of determining any change in health status and making any necessary adjustments may be repeated one or more times, optionally at regularly scheduled intervals. In certain embodiments, there is a continuous monitoring of responses to any interventions and adjustment of interventions as necessary. In specific embodiments, the health status relates to health status generally, a specific type of health status, or a specific health issue.

[0034] In certain embodiments, prior to a. receiving input regarding an individual’s health status, the individual is onboarded. This onboarding may include authentication of identity of the individual for example by a two-factor authentication protocol. a. receiving input regarding an individual’s health status

[0035] In certain embodiments initial input regarding an individual’s health status may be received by completion of one or more onboarding assessment questionnaires. The one or more questionnaires may be completed by the individual whose health is being assessed and / or health care provider. In certain embodiments, the one or more questionnaires are website based or app based. In some embodiments, the questionnaire is an adaptive questionnaire in which answers to previous questions are used to determine future questions. In certain embodiments, the responses to an initial assessment questionnaire may prompt a further assessment questionnaire. Such further assessment questionnaires may be for one or more specific health conditions (e.g., heart health assessment, woman’s health assessment, asthma and allergy assessment, sexual health assessment, illness and infectious disease assessment, depression assessment, anxiety assessment, or a depression and anxiety assessment).

[0036] Questions which may be used to assess health generally and various specific health conditions are known in the art and may relate to the individual’s mood or emotional state, relationship satisfaction, cognitive function, physical symptoms, and behavioral attributes. In certain embodiments, the questions may be tailored to a specific illness.

[0037] A non-limiting illustrative example of an onboarding questionnaire is provided in FIG. 2.

[0038] Input may also include input from one or more healthcare providers. b. determining, by the server computing device, based on the input regarding the individual’s health status and any required interventions

[0039] Next, the initial health status of the individual is determined based on the input received.

[0040] In certain embodiments, the input comprises the responses to the one or more onboarding assessment questionnaires. In certain embodiments, the response to each question is assigned a score. The score may be based on type of symptoms, the severity and / or frequency of the reported symptoms and / or criteria outlined in diagnostic manuals, such as the International Classification of Diseases (ICD) or manuals related to specific aspects of health such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) or. In certain embodiments, the scores are then used to generate the individual’s health status. The generation of the individual’s health status using the scores may be based on a pre-defined rule set and / or the output of one or more diagnostic algorithms. In certain embodiments, artificial intelligence (Al) is utilized to determine the health status and, optionally recommend interventions and produce an Al- generated health assessment report.

[0041] In some embodiments, the Al-generated health assessment report is communicated to a healthcare provider for additional input. Input provided by the healthcare provider may include supplemental information about the individual, such as prescribed medications, assigned interventions, or notes.

[0042] In some embodiments, this assessment report may include but is not limited to overall health status, diagnostic insights and / or recommended interventions including but not limited to recommended diagnostic tests and / or treatments.

[0043] In certain embodiments, if the initial determination indicates no health symptoms, the method is discontinued.

[0044] In certain embodiments, if the health status report indicates symptom severity that requires an immediate response, an emergency notification is sent to the individual, an emergency service provider and / or a health care provider. c. communicating, by the server computing device, to a computing device of the individual and / or one or more healthcare professionals, the health status and any required interventions

[0045] Communication may be by one or more communication channels, including real-time (for example instant messaging) and non-real-time (for example email). Exemplary communication channels include but are not limited to Voice over Internet Protocol (VoIP), short message service (SMS), instant messaging (IM), email, in-app communications and web interface. In certain embodiments, communications may include telephone communications.

[0046] Communications may be uni-directional, bi-directional or multi-directional. Communications may be to an individual, multiple individuals or machine to machine. The communications may be in response to a particular action and / or trigger, as part of a workflow or at regularly scheduled intervals. Regular scheduled communications can be sent at any time interval including but not limited to hourly, daily, weekly, monthly or yearly.

[0047] In certain embodiments, communications are provided in-app. In-app communications may include but are not limited to Al conversational platform, chatbot, modals, checklists, banners, messaging, dashboards and pages.

[0048] In some embodiments, communications include a color indicator. For example, a green color may be used to indicate compliance with a particular intervention, positive efficacy of the intervention based on an improvement in the individual’s health status. Additionally, yellow may indicate no change in the individual’s health status or a cautionary signal regarding compliance or response to the intervention. A red color may indicate a negative response or decline in the individual’s health status to the point of severity or emergency response.

[0049] In certain embodiments, information regarding the individual’s health status and / or interventions may be presented in the form of a statistical dashboard that can be viewed on a computing device, such as a personal computer, mobile device, or tablet. Such a dashboard may include for example a summary of the individual’s health status over the past 14-day interval, indications from daily mood check-ins performed by the individual, symptom scores for health conditions, and detailed data entries specific to date intervals. The trends in daily check-ins as well as specific symptoms may be depicted in graphical form on the dashboard. In some embodiments, one or more in app tabs or interfaces is provided where assigned assessments, interventions, and monitoring tasks, as well as unassigned assessments, interventions, and monitoring tasks can be viewed and / or assigned to the individual. d. determining, by the server computing device; any change in the individual’s health status in response to any required interventions.

[0050] In certain embodiments step d comprises receiving, by a server computing device, new input regarding the individual’s health status and comparing the new input with previously collected input to determine if there has been a change in health status. This input may be from the individual and / or one or more health providers. The frequency at which the individual is required to provide responses input may vary (e.g., on a monthly, weekly, daily, bi-weekly, one-time, every 3 or 6 months, etc.). In some embodiments, the number, frequency, and type of questions may differ based on the individual’s health status, input from a healthcare provider, responses to a given intervention, or changes in a combination thereof.

[0051] In certain embodiments, the input comprises responses to one or more questions. Such questions may be in the form of a quick mood check-in, a health screening questionnaire, questions pertaining to other health parameters such as physical activity, sleep quality and nutrition and / or questions pertaining towards goals pertaining to various life parameters.

[0052] In some embodiments, an individual may complete a health screening questionnaire pertaining to the individual’s work and social functioning, relationship satisfaction, satisfaction with life, self- esteem, level of perceived social support, quality of life, and distressful behaviors.

[0053] In certain embodiments, the response to each question is assigned a score. The score may be based on the severity and frequency of the reported symptoms and / or criteria outlined in diagnostic manuals, such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases (ICD). In certain embodiments, the scores are then used to generate the individual’s updated health status. The generation of the individual’s updated health status using the scores may be based on a pre-defined rule set and / or the output of one or more diagnostic algorithms. In certain embodiments, artificial intelligence (Al) is utilized to determine the updated health status. In certain embodiments, health status is automatically determined when input is received.

[0054] The updated health status may be compared, optionally automatically, to one or more previous health status to determine if there is any change in health status. In some embodiments, the healthcare provider can provide additional input regarding the individual’s health status or related to interventions for processing by the Al-assisted diagnostic algorithm. In some embodiments, the changes in the individual’s health status may be monitored in real-time by a healthcare provider through a communication to the healthcare provider’s computing device.

[0055] In certain embodiments, the method further comprising e) adjustment of any required interventions in response to a change or lack of change in health status.

[0056] In certain embodiments, the determining, by the server computing device; any change in the individual’s health status in response to any required interventions; and / or adjustment of any required interventions in response to a change or lack of change in health status is repeated one or more times. In specific embodiments, the steps may be repeated at scheduled intervals or in response to user / health professional input.

[0057] The required interventions may be generated based on an Al-mediated analysis of the individual’s health status and / or health care provider input. Such interventions may be personalized to the individual’s specific type of health symptoms and the severity of such symptoms as determined by the diagnostic algorithm.

[0058] Automated system for real-time health care

[0059] The present invention further provides an automated system for real-time health care. The system may be server-based or a cloud-based system. The system comprises a real-time communications layer integrated with automation engine, an assessment module, an intervention module, and a monitoring / prediction module; the real-time communications layer unifying multiple communication channels; the assessment module for determining a user’s health status in response to input from the user and / or user’s healthcare practitioner; the intervention module for initiating one or more interventions related to improving the user’s health status based on the user’s health status determined by the assessment module; the monitoring / prediction module to predict the user’s health progress based on user’s input and optionally past user data; and the automation engine comprising predictive analytics and artificial intelligence to manage communications and / or trigger one or more of the assessment module, intervention module and monitoring / prediction module in response to the communications.

[0060] In certain embodiments, the system is configured to provide recommendations to patients based on their profile, behaviours, etc. In certain embodiments, the system is configured to provide recommendations to the healthcare providers, with respect to the understanding of the patient profile, preferences, conditions, etc. In certain embodiments, the system, based on patient profile, behaviours, engagement, etc provides healthcare providers with one or more recommendations with respect to the assessments to assign to the patient, recommendations for interventions and / or recommendations for the monitoring elements. In certain embodiments, the system is configured to provide recommendations to both the patients and healthcare providers.

[0061] In certain embodiments, the system is trained by all the data coming into the system.

[0062] Real-time Communications Layer

[0063] The system of the present invention is a multi-modal in and multi-modal out system. The system is able to accept and interpret different types of input data (i.e. is a multi-modal in system). For example, a multi-modal Al could analyze text data (such as social media posts), visual data (such as photos or videos), and auditory data (such as voice recordings) simultaneously to understand a situation or context better. The system can generate or provide information in various formats (i.e. is multi-modal out system). For instance, an Al could take a text description as input and produce relevant images, text summaries, and even audio explanations as output.

[0064] The system of the present invention comprises a real-time communications layer unifying multiple communication channel. As used herein, unified communications, refers to a framework for integrating multiple communication channels, including real-time (for example instant messaging) and non-real-time (for example email). Exemplary communication channels include but are not limited to Voice over Internet Protocol (VoIP), short message service (SMS), instant messaging (IM), email and web interface. Various IM applications are known in the art and include but are not limited to Discord, eBuddy XMS, Facebook Messenger, iMessage, Kik Messenger, Line, Skype, Snapchat, Telegram, WeChat, WhatsApp, BlackBerry Messenger.

[0065] In certain embodiments, the unified communications layer integrates multiple communication channels in real-time. In specific embodiments, the unified communications layer integrates VoIP and SMS.

[0066] Optionally, the communications layer further comprises a conversation user interface. The conversation user interface may be website based or application (app) based. The conversation user interface may be in the form of a voice-user interface, a chatbot or virtual agent. In specific embodiments, the chatbot utilizes SMS or a messaging application (apps). In specific embodiments, the system utilizes a connectionless SMS app. In alternative embodiments, the system maintains a connection with the message recipient. Exemplary apps that maintain a connection include Skype. In other embodiments, the chatbot is website based.

[0067] In some embodiments, the conversation user interface may be configured to facilitate health screening of the user through a screening questionnaire that prompts the user to provide input in the form of responses to health questions.

[0068] In certain embodiments, the system of the present invention can send and / or receive communications in one or more languages. In certain embodiments, the system of the present invention can send communications to multiple individuals in the language preference of the recipient. In certain embodiments, the system of the present invention, can translate incoming communications into the language of the recipient.

[0069] Notifications may be automatically communicated to a user. Notifications may include without limitation: reminding users to complete a health assessment; providing personalized recommendations to a user based on the user’s health status and historical user data; providing regular engagement and notifying the user of updates; announcing new features or updates; notifying the user of any enhancements to available assessments; notifying the user or any security updates; providing intervention recommendations; providing user engagement through a virtual assistant or chat bot; sending the user appointment reminders; notifying the user of their progress and prompting the user to provide input; providing the user with educational materials; and sending the user general updates.

[0070] Assessment Module

[0071] The system of the present invention comprises an assessment module for determining a user’s health status in response to input from the user and / or user’s healthcare practitioner.

[0072] The user input may be in a variety of forms including but not limited to text data (e.g., social media posts, input from conversation interface), visual data (such as photos or videos), performance metrics, responses to questions, interaction logs, and auditory data (e.g., voice recordings) simultaneously.

[0073] In certain embodiments, assessment module processes input in accordance with specific governing rules, algorithms, and / or machine learning models. In certain embodiments, the rules, algorithm and machines learning models keep improving. This may enable the embodiment to further provide a better recommendation in helping the care provider to serve their users. In certain embodiments, assessment module is configured to update the user’s health status at regularly defined intervals, such as hourly, daily, and / or upon receiving new input from the use and / or user’s healthcare practitioner.

[0074] Intervention Module

[0075] The system of the present invention comprises an intervention module for initiating one or more interventions related to improving the user’s health status based on the user’s health status determined by the assessment module

[0076] In certain embodiments, in accordance with specific governing rules, algorithms, and / or machine learning models, the intervention module triggers one or more interventions once a predetermined triggering condition has been met and / or in response to a request from a user and / or user’s healthcare professional to trigger one or more interventions.

[0077] In certain embodiments, the intervention module is further configured to make real-time adjustments to the interventions communicated to the user based on changes to the user’shealth status determined by the assessment module and / or any predictive outcomes as received by prediction module. Real-time adjustments may include but are not limited to the introduction of new tasks and / or intervention, the termination of an intervention, sending a push notification or other form of communication, or initiating an emergency response notification to health care provider, an emergency responder, the user, and / or another designated emergency contact.

[0078] The intervention module may be further configured to communicate the status of each intervention assigned to a user to the user and optionally, the user’s healthcare provider.

[0079] The interventions may be general or personalized to the user. In certain embodiments, feedback, for example received from assessment engine, prediction engine or healthcare provider, may be used to refine and improve future interventions such that the intervention engine provides users with interventions that are increasingly more personalized and the most effective strategies for a given user and / or situation.

[0080] Interventions may take a variety of forms, including but not limited to notifications and alerts, guidance and support (e.g., instructional guidance, resources, or prompts to perform a given task), and behavioral encouragement (e.g., notifications or rewards to encourage positive behaviors or habits). Monitoring / Prediction Module

[0081] The system of the present invention comprises a monitoring / prediction module to predict the user’s health progress based on user’s input and / or healthcare provider’s input. The data may be contemporary and / or historic data. The data may be stored in one or more databases.

[0082] In certain embodiments, the monitoring / prediction module is configured to analyze the user’s progress regarding the completion of any required interventions to generate forecasts or predictions about the user’s future responses to interventions, behaviors, or trends.

[0083] In certain embodiments, the monitoring / prediction module is further configured to provide predictions in real-time based on changes to the user’s health status.

[0084] In certain embodiments the monitoring / prediction module is configured to provide real-time feedback to intervention module in the form of predictive outcomes for the user, changes in health status based on responses to required interventions, mood changes, input received from the conversation user interface, and sleep quality, or responses to medication. Such real-time feedback can also be stored in one or more data storage devices for future access.

[0085] Automation Engine

[0086] The system of the present invention comprises an automation engine comprising predictive analytics and artificial intelligence, including but not limited to machine learning, natural language processing, deep learning or combinations thereof to manage communications and / or trigger one or more of the assessment module, intervention module and monitoring / prediction module.

[0087] In certain embodiments, the automation engine utilizes Retrieval-augmented generation (RAG).

[0088] In certain embodiments, the artificial intelligence is trained in response to one or more of training data sets, the user input, user responses to required interventions, the past user data, and health provider input. In certain embodiments, all the data coming into the system is used to train the artificial intelligence.

[0089] In certain embodiments, the automation engine may be integrated with the conversation user interface. Such integration with the conversation user interface may take the form of retrieval augmented generation (RAG), virtual assistant, and interactive dashboard. Together these features allow for enhanced user engagement and personalized user interactions. In some embodiments, RAG functions by processing an input or query and searches a large database to retrieve relevant information or documents. RAG may be further configured to process the retrieved information or documents and generate a contextually relevant response or other requested output.

[0090] Security / Compliance Layer and Databases

[0091] In certain embodiments, of the system of the present invention further comprises a security / compliance layer. In certain embodiments, the security layer configured to protect the system and the associated data from unauthorized access, breaches, and other cyber threats. In certain embodiments, the security layer is further configured to ensure the integrity, confidentiality, and availability of user data by implementing measures such as encryption, homomorphic encryption, authentication, authorization, intrusion detection, and regular security updates. In some embodiments, security layer is configured for compliance with required regulations concerning user data that is also personal health information (PHI) (e.g., Health Insurance Portability and Accountability Act (HIPPA) in the United States and the General Data Protection Regulation (GDPR) in Europe). Compliance requirements of various regulations are known in the art.

[0092] In certain embodiment, the system further comprises one or more databases. In certain embodiments one or more databases are configured to receive and store healthcare data. In certain embodiments, the one or more data storage devices in the database layer may be further compartmentalized to include a designated PHI data storage device configured to store electronic medical records, electronic health records or other user data containing PHI.

[0093] In certain embodiments, the communications layer is connected to an intermediary platform that ensures regulatory compliance for the communication and storage of PHI data. FIG # shows an example overview of system within the database layer comprising PHI data storage device connected to PHI compliance platform according to an embodiment. In some embodiments, PHI compliance platform receives PHI input from the communications layer and ensures that the data is stored within PHI storage device under adequate security measures to ensure regulatory compliance. Such security measures may include administrative, procedural, and cybersecurity protection with respect to the storage and communication of PHI information between the PHI data storage device and communications layer.

Claims

WHAT IS CLAIMED IS1. A computer-implemented real-time method of health care, the method comprising: a. receiving, by a server computing device, input regarding an individual’s health status; b. determining, by the server computing device, based on the input regarding the individual’s health status and any required interventions; c. communicating, by the server computing device, to a computing device of the individual, the health status and any required interventions; and d. determining, by the server computing device; any change in the individual’s health status in response to any required interventions.

2. The method of claim 1 , wherein the input comprises responses to a health screening questionnaire from the individual and / or input from one or more of the individual’s health care providers.

3. The method of any one of claims 1 to 2, wherein the determining the individual’s health status and any required interventions based on the input and optionally threshold clinical and diagnostic values corresponding to health symptom severity is via artificial intelligence.

4. The method of any one of claims 1 to 3, wherein step d comprises receiving, by a server computing device, new input regarding the individual’s health status and comparing the new input with previously collected input to determine if there has been a change in health status.

5. The method of any one of claim 4, further comprising e) adjustment of any required interventions in response to a change or lack of change in health status.

6. The method of claim 1 , wherein steps d and e. is repeated one or more times.

7. The method of claim 1 or 2, wherein step d and e. is repeated at regularly scheduled intervals.

8. The method of claim 1 , further comprising sending an emergency notification if the individual’s health status falls below a threshold value and / or otherwise indicates a health crisis.

9. An automated system for real-time health care; the system comprising:a real-time communications layer integrated with automation engine, an assessment module, an intervention module, and a monitoring / prediction module; the real-time communications layer unifying multiple communication channels; the assessment module for determining a user’s health status in response to input from the user and / or user’s healthcare practitioner; the intervention module for initiating one or more interventions related to improving the user’s health status based on the user’s health status determined by the assessment engine; the monitoring / prediction module to predict the user’s health progress based on user’s input and optionally past user data; and the automation engine comprising predictive analytics and artificial intelligence to manage communications and / or trigger one or more of the assessment module, intervention module and monitoring / prediction module in response to the communications.

10. The system of claim 9, wherein the artificial intelligence is trained in response to one or more of training data sets, the user input, user responses to required interventions, the past user data, and health provider input.

11. The system of claim 9 wherein the artificial intelligence is trained by all data coming into the system.

12. The system of any one of claims 1 to 11 , wherein the system provides recommendations to the user.

13. The system of any one of claims 1 to 12, wherein the system provides recommendations to the healthcare providers, with respects to the understanding of a patient’s profile, preferences, conditions, etc.

14. The system of claim 13, wherein the system provides the healthcare provider with recommendations with respect to the assessments to assign to the patient, recommendations for interventions and recommendations for the monitoring elements.

15. The system of any one of claims 9 to 14, wherein the real-time communications layer further comprises a conversation user interface.

16. The system of any one of claims 9 to 15, wherein the conversation user interface is configured to support one or more of text-based interfaces, image-based interfaces, and voice-based interfaces for real-time communication.

17. The system of any one of claims 9 to 16, wherein the system further comprises one or more databases configured to receive and store healthcare data.

18. The system of any one of claims 9 to 17, further comprising a security / compliance layer.

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