Health information nework wellness platform

Abstract

A system and method for providing a user with information associated with a disease or a condition. The method includes receiving user data associated with the user, receiving a query from the user, wherein the query is associated with the disease or the condition, providing content associated with the disease or the condition in response to the query, wherein the content is based on the user data, wherein the content was generated by a generative machine learning model, and providing secondary services associated with the content, wherein the secondary services comprise at least one of (i) ability to purchase a product associated with the disease or the condition or (ii) scheduling for an appointment with a healthcare provider for the disease or the condition.

Description

HEALTH INFORMATION NEWORK WELLNESS PLATFORMCROSS-REFERENCE TO RELATED APPLICATION

[0001] This application claim priority to U.S. Provisional Patent Application No. 63 / 620,470 filed January 12, 2024, which is incorporated herein by reference in its entirety.BACKGROUND

[0002] The experience for searching for answers about one’s health and wellbeing can be overwhelming and frustrating. In particular, searching across multiple websites can be frustrating and the information is often fragmented, impersonal, unverified, and sometimes conflicting. Accordingly, there is a need for curated, trusted, and credible sources for health information. In addition to simply finding the health information that individuals that users are searching for, it can be challenging to decide what to do with that information in the event that one is even able to find it. Accordingly, there is a need for a health information platform that provides actionable, relevant next steps to learn more, take action, or get help from experts if needed.SUMMARY

[0003] The present disclosure is directed to systems and methods for providing users access to health information.

[0004] In one embodiment, the present disclosure is directed to a computer- implemented method for providing a user with information associated with a disease or a condition, the method comprising: receiving, by a computer system, user data associated with the user; receiving, by the computer system, a query from the user, wherein the query is associated with the disease or the condition; providing, by the computer system, content associated with the disease or the condition in response to the query, wherein the content is based on the user data, wherein the content was generated by a generative machine learning model; and providing, by the computer system, secondary services associated with the content, wherein the secondary services comprise at least one of (i) ability to purchase a product associated with the disease or the condition or (ii) scheduling for an appointment with a healthcare provider for the disease or the condition.

[0005] In one embodiment, the present disclosure is directed to a computer system for providing a user with information associated with a disease or a condition, the computer system comprising: a processor; and a memory coupled to the processor, the memory storing instructions that, when executed by the processor, cause the computer system to: receive user data associated with the user; receive a query from the user, wherein the query is associated with the disease or the condition; provide content associated with the disease or the condition in response to the query, wherein thecontent is based on the user data, wherein the content was generated by a generative machine learning model; and provide secondary services associated with the content, wherein the secondary services comprise at least one of (i) ability to purchase a product associated with the disease or the condition or (ii) scheduling for an appointment with a healthcare provider for the disease or the condition.

[0006] In some embodiments, of the methods and computer systems, the user data was input by the user.

[0007] In some embodiments, of the methods and computer systems, the user data was retrieved from a healthcare provider system.

[0008] In some embodiments, of the methods and computer systems, the user data comprises an electronic medical record.

[0009] In some embodiments, of the methods and computer systems, the user data comprises at least one of bibliographic data, health data, or application history data.

[0010] In some embodiments, of the methods and computer systems, the content comprises at least one of articles, listicles, charts, graphs, lists of references and / or links, videos, or audio clips.BRIEF DESCRIPTION OF THE FIGURES

[0011] The accompanying drawings are incorporated herein and form a part of the specification.

[0012] FIG. 1 depicts a diagram of a health information platform that can be accessed via users and communicate with third party systems, in accordance with an embodiment of the present disclosure.

[0013] FIG. 2A depicts an illustrative user query screen, in accordance with an embodiment of the present disclosure.

[0014] FIG. 2B depicts an illustrative information screen in response to a user query, in accordance with an embodiment of the present disclosure.

[0015] FIG. 2C depicts an illustrative screen for providing support services in response to the user query, in accordance with an embodiment of the present disclosure.DETAILED DESCRIPTION

[0016] Example embodiments are provided so that this disclosure will be thorough and will fully convey the scope to those who are skilled in the art. Numerous specific details are set forth, such as examples of specific systems, components, devices, and methods, to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to those skilled in the art that specific details need not be employed, that example embodiments can be embodied in many different forms and that neither should be construed to limit the scope of the disclosure. In some example embodiments, well-known processes, well-known device structures, and well-known technologies are not described in detail.

[0017] As shown and described more fully below, the instant disclosure includes systems, methods, and devices for providing users with content and other tools for obtaining information of various diseases or disorders (or symptoms associated therewith) and facilitating the ability for users to take actionable steps to address those diseases or disorders (e.g., by setting up an appointment with a healthcare provider, directing users to useful products relevant to the diseases or disorders, or providing users with the necessary information so that they can take actions themselves). The systems described herein can include computing components connected over one or more wired or wireless networks for storing health information and user data, personalizing the digital health information content to specific users, and transmitting health information content to users' computing devices (e.g., computers or smartphones). The methods described herein can include methods for administering health information to a user, methods for evaluating the performance of health information content based on user data and user-interaction therewith, and methods for personalizing the health information content based on the evaluation of the performance thereof. The devices described herein can include computing devices (e.g., server computer(s), smartphone(s), tablet(s), desktop computer(s), laptop computer(s), or any combination thereof) for storing, transmitting, personalizing, and / or executing a digital health management application. The user-facing digital health information application can constitute a website, a web application, a mobile application (i.e., an “app”), or any combination thereof.

[0018] The digital health information platform can provide health information content to users in the form of textual and / or audio / visual content delivered through a website accessed via a client (e.g., a web browser) executable on a computing device (e.g., a smartphone). The health information content can be provided from a host server or similar computing devices via a website, a web application, or an app downloaded by the user on his or her smartphone.

[0019] In some implementations, the digital health information platform can deliver non- therapeutic content to users. In such implementations, the digital health information platform can deliver health information content that is adapted to provide individuals with assistance in managing their diseases or conditions by either directly providing relevant information to users or directing users to appropriate healthcare professionals and / or products.

[0020] Additional information regarding the health information platform described below can be found in U.S. Patent Application No. 18 / 754,913, titled HEALTH INFORMATION PLATFORM, filed June 26, 2024, is hereby incorporated by reference herein in its entirety.Health Information Platform

[0021] The present application is generally directed to the provision of health information to users. In one embodiment shown in FIG. 1, a health information platform 100 can be accessed via a userdevice 120 through a network 130 (e.g., the Internet or another telecommunication network). The health information platform 100 can provide content 106 to a user through the device 120. The health information platform 100 can include a computer system, such as a server or server system, that is configured to provide the content 106 to a user through the user device 120. The health information platform 100 can further include a memory 102 and a processor 104 that is adapted to execute instructions stored in the memory 102 to provide the content 106 to the user device 120 and perform other tasks described herein. The user device 120 can include a mobile device (e.g., a smartphone), a tablet, a laptop, a desktop computer, or any other device that is able to access and / or display the content 106. The content 106 of the health information platform 100 can be accessed via a client 122, such as a web browser or a smartphone app. In one illustrative embodiment, the client 122 can include a smartphone app downloaded by user on his or her user device 120. In other embodiments, the health information platform 100 can be accessed via, for example, a website, a web application, or as a software as a service (SaaS) model. The client 122 can provide a user interface through which the user can access, view, and / or interact with the digital therapy content 106 provided via the health information platform 100. In various embodiments, the client 122 can be downloaded via various digital distribution services, including app stores (e.g., the Google Play Store or the Apple App Store).

[0022] In some embodiments, the health information platform 100 can be embodied as one or more servers that are programmed to deliver content to the use via the client 122. In some embodiments, the health information platform 100 can be embodied as a cloud computing system. The cloud computing system can be a distributed system (e.g., remote environment) having scalable / elastic computing and storage resources. The cloud computing resources can execute the health information application 108 for facilitating communications with the user device 120 and storing data in the database 112. In some examples, the database 112 can reside on a standalone computing device. The health information application 108 can provide the user with the health content 106 that is delivered via the client 122 on the user device 120.

[0023] The database 112 can store, for example, user data 107. The user data 107 can include, for example, bibliographic data (e.g., name, age, or sex), health data (e.g., conditions or diseases that the user is suffering from, weight, or medical history), and / or application history data (e.g., prior queries that the user has performed or application usage data). In various embodiments, the user data 107 can be input by the user (e.g., as part of on onboarding process of creating an account with the health information platform 100) or retrieved from a healthcare provider system 140 (e.g., in the form of an electronic medical record).

[0024] The network 130 can include any type of network that allows sending and receiving communication signals, such as a wireless telecommunication network, a cellular telephone network, a time division multiple access (TDMA) network, a code division multiple access (CDMA) network,Global system for mobile communications (GSM), a third generation (3G) network, fourth generation (4G) network, fifth generation (5G) network, a satellite communications network, and other communication networks. The network 130 can include one or more of a Wide Area Network (WAN), a Local Area Network (LAN), and a Personal Area Network (PAN). In some examples, the network 130 includes a combination of data networks, telecommunication networks, and a combination of data and telecommunication networks. The user device 120 and the health information platform 100 can communicate with each other by sending and receiving signals (wired or wireless) via the network 130. In some examples, the network 130 provides access to cloud computing resources, which can include elastic / on-demand computing and / or storage resources available over the network 130.

[0025] The user device 120 can include, but is not limited to, a portable electronic device (e.g., smartphone, cellular phone, personal digital assistant, personal computer, or wireless tablet device), a desktop computer, or any other electronic device capable of sending and receiving information via the network 130. The user device 120 includes data processing hardware (e.g., a processor 126), memory 124, and a display 125 in communication with the data processing hardware. In some examples, the user device 120 includes a keyboard (either a physical or a software -based keyboard), mouse, microphones, and / or a camera for allowing the user to input data. In addition to or in lieu of the display 125, the user device 120 can include one or more speakers to output audio data to the user. For instance, the client 122 can be configured to provide audible alerts to the user or play audio content for the user. In some embodiments, the user device 120 can execute the client 122 that the user has downloaded and is stored in the memory 124 of the user device 120 to establish a connection with the health information platform 100 and access the digital health content 106. In other embodiments, the client 122 can include a web-based application through which the user can access the digital health content 106. In some embodiments, the user can have access to the health content 106 for a defined time period (e.g., 3 months). In some embodiments, the access to the health content 106 can be controlled based on whether the user has subscribed to the service provider controlling the health information platform 100. The client 122 when executed by the data processing hardware of the user device 120, can be configured to display a variety of graphical user interfaces (GUIs) on the display 125 that, among other things, allows the user to interact with the client 122.

[0026] In some embodiments, user devices 120 can access the health information platform 100 resources via a variety of different Infrastructure as a service (laaS) standards, including, e.g., Amazon Elastic Compute Cloud (EC2), Open Cloud Computing Interface (OCCI), Cloud Infrastructure Management Interface (CIMI), or OpenStack standards. Some laaS standards can allow clients access to resources over HTTP and can use Representational State Transfer (REST) protocol or Simple Object Access Protocol (SOAP). In some embodiments, user devices 120 can access the health information platform 100 resources via a variety of different Platform as a Service (PaaS) interfaces.Some PaaS interfaces use HTTP packages, standard Java APIs, JavaMail API, Java Data Objects (JDO), Java Persistence API (JPA), Python APIs, web integration APIs for different programming languages including, e.g., Rack for Ruby, WSGI for Python, or PSGI for Perl, or other APIs that can be built on REST, HTTP, XML, or other protocols. In some embodiments, user devices 120 can access health information platform 100 resources via a variety of different of web-based user interfaces (e.g., when the health information platform 100 is provided as a SaaS). In some embodiments, user devices 120 can also access SaaS resources through smartphone or tablet applications (e.g., Salesforce Sales Cloud or Google apps) or client operating systems.

[0027] In some embodiments, the health information platform 100 and / or the client 122 can further be configured to transmit and / or receive from a third-party system, such as a healthcare provider system 140. For example, the health information platform 100 and / or the client 122 can be configured to retrieve user medical information from a healthcare provider system 140 (e.g., in the form of an electronic medical record), provide notifications to the healthcare provider, and / or allow the user to book and manage appointments with the healthcare provider.Health Information Content

[0028] In one embodiment, the health information platform 100 can provide a variety of different types of health information content 106 to the user. The health information platform 100 can be accessed by a client 122 that is configured to communicatively connect with the health information platform 100 for displaying a user interface (e.g., via the display 125) for transmitting commands or queries to the health information platform 100 and receiving responses thereto. In some embodiments, the health information platform 100 can be configured to receive queries from the user (e.g., via the client 122) and provide content 106 in response thereto. For example, the health information platform 100 can receive user queries related to particular symptoms that the user is experiencing, diseases or conditions that the user is suffering from, recommendations for improving or maintaining a healthy lifestyle, and so on. In some embodiments, the content 106 can take the form of articles, listicles, charts, graphs, lists of references and / or links, videos, audio clips, or any other form of textual and / or audiovisual content (or any combination thereof). The user queries can be input via a query screen 200 provided via the client 122 that includes a search bar or search field, such as in the embodiment shown in FIG. 2A. In some embodiments, the query screen 200 can prompt users to input a question or a search string, such as is shown in FIG. 2B. In some embodiments, the query screen 200 can further provide suggested or common questions, which can be personalized to the user (e.g., based on the user data 107) or can include common queries being submitted on the health information platform 100 by other users. The questions or searches from users can be related to particular conditions or diseases,signs or symptoms that the users are experiencing, healthy lifestyle choices, side effects or other information associated with medications, or any other health-related questions.

[0029] In one embodiment, the health information application 108 can execute a generative machine learning model that has been trained on a corpus of data to provide answers to users’ queries on health-related topics. For example, the machine learning model can include a chatbot that the user can interact with via an interface on the client 122. The generative machine learning model can be trained to parse users’ health-related queries and provide responses that either directly answer the users’ queries or provide articles on the relevant health topics (e.g., particular diseases or conditions) associated with the users’ queries. Accordingly, the user can interact with the health information application 108 to receive health content 106, such as articles related to the queried topics therefrom. The generative machine learning model can include, for example, a large language model. The generative machine learning model can be trained on a corpus of health information related to any health conditions and diseases, including descriptions of the conditions and diseases, signs and symptoms, recommendations for treating and / or managing the conditions and diseases. In some embodiments, the corpus of health information data on which the generative machine learning model is trained can be pulled from specifically curated sources (i.e., not the Internet as a whole) in order to provide credible, accurate information to users.

[0030] In various embodiments, the health information application 108 can be configured to output health content 106 in a manner that can be more easily understood and consumed by individuals that are not familiar with healthcare terminology. In one embodiment, the generative machine learning model of the health information application 108 can be trained to output health content 106 using conventional language, i.e., non-medical jargon. In one embodiment, the generative machine learning model of the health information application 108 can be trained to output health content 106 that includes actionable next steps or recommendations, in addition to a description of the conditions, diseases, signs, and / or symptoms associated with the queried topics.

[0031] In one embodiment, the health information application 108 can be configured to customize or personalize the response to the query based on the user data 107 associated with the particular user. As noted above, the user data 107 can include bibliographic information, health data, and so on. For example, the user data 107 can be provided along with the query as input data for the generative machine learning model of the health information application 108; accordingly, the output of the generative machine learning model would be based at least in part of the relevant user data 107 associated with the query. For example, if a user submitted a query related to cancer screening, the health information application 108 can utilize the user’s age from the user data 107 to indicate whether the user should be actively having cancer screenings performed (e.g., which can also be based upon the presence of certain medical risk factors for the user as indicated by the user data 107).

[0032] In one embodiment, the health information application 108 can be further configured to provide access to (e.g., via links) or information on secondary services that are associated with the performed query. In one embodiment, the secondary services can include ability to purchase a product associated with the disease or the condition. For example, the health information application 108 can provide links to relevant products associated with the user’s query, such as is shown in FIG. 2C. The products can be purchased from either third-party vendors or directly from the entity operating the health information platform 100, for example. In one embodiment, the secondary services can include the ability to schedule for an appointment with a healthcare provider for the disease or the condition. For example, the health information application 108 can provide links to a scheduling application that is hosted by or communicatively coupled to a healthcare provider system 140 for scheduling an appointment with a healthcare provider that is relevant to the user’s query.

[0033] One illustrative example of the operation of the health information platform 100 is shown in FIGS. 2A-2C. In FIG. 2A, the user is presented with the query screen 200 with which they can enter a question or search for a health-related topic of interest. In this particular example, the user has entered a query asking whether they have a cold or asthma. As shown in FIG. 2B, the health information application 108 outputs a response screen 202 providing the relevant information related to the query as generated by the generative machine learning model executed by the health information application 108. In this particular example, the response screen 202 includes an article describing how one can differentiate between cold and asthma signs and symptoms. Further, the health information application 108 outputs a secondary services screen 204, as shown in FIG. 2C, that provides the user with links to purchase products relevant to address allergies and links to schedule an appointment (either in-person or virtually) with a healthcare provider. In various embodiments, the secondary services screen 204 can be a part of the response screen 202 or a separate screen displayed via the client 122. In other embodiments, the health information application 108 could be configured to output and / or provide a variety of other secondary support services.

[0034] While various embodiments have been described above, it should be understood that they have been presented by way of example and not limitation. It will be apparent to persons skilled in the relevant.

[0035] In the above detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, similar symbols typically identify similar components, unless context dictates otherwise. The illustrative embodiments described in the present disclosure are not meant to be limiting. Other embodiments can be used, and other changes can be made, without departing from the spirit or scope of the subject matter presented herein. It will be readily understood that various features of the present disclosure, as generally described herein, and illustrated in theFigures, can be arranged, substituted, combined, separated, and designed in a wide variety of different configurations, all of which are explicitly contemplated herein.

[0036] The present disclosure is not to be limited in terms of the particular embodiments described in this application, which are intended as illustrations of various features. Instead, this application is intended to cover any variations, uses, or adaptations of the present teachings and use its general principles. Further, this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which these teachings pertain. Many modifications and variations can be made to the particular embodiments described without departing from the spirit and scope of the present disclosure as will be apparent to those skilled in the art. Functionally equivalent methods and apparatuses within the scope of the disclosure, in addition to those enumerated herein, will be apparent to those skilled in the art from the foregoing descriptions. It is to be understood that this disclosure is not limited to particular methods, reagents, compounds, compositions or biological systems, which can, of course, vary. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting.

[0037] Various of the above-disclosed and other features and functions, or alternatives thereof, can be combined into many other different systems or applications. Various presently unforeseen or unanticipated alternatives, modifications, variations or improvements therein can be subsequently made by those skilled in the art, each of which is also intended to be encompassed by the disclosed embodiments.

[0038] As used in this document, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. With respect to the use of substantially any plural and / or singular terms herein, those having skill in the art can translate from the plural to the singular and / or from the singular to the plural as is appropriate to the context and / or application. The various singular / plural permutations can be expressly set forth herein for sake of clarity.

[0039] As will be understood by one skilled in the art, for any and all purposes, such as in terms of providing a written description, all ranges disclosed herein are intended as encompassing each intervening value between the upper and lower limit of that range and any other stated or intervening value in that stated range. All ranges disclosed herein also encompass any and all possible subranges and combinations of subranges thereof. Any listed range can be easily recognized as sufficiently describing and enabling the same range being broken down into at least equal halves, thirds, quarters, fifths, tenths, et cetera. As a non-limiting example, each range discussed herein can be readily broken down into a lower third, middle third and upper third, et cetera. As will also be understood by one skilled in the art all language such as “up to,” “at least,” and the like include the number recited and refer to ranges that can be subsequently broken down into subranges as discussed above. Finally, aswill be understood by one skilled in the art, a range includes each individual member. Thus, for example, a group having 1 -3 cells refers to groups having 1 , 2, or 3 cells as well as the range of values greater than or equal to 1 cell and less than or equal to 3 cells. Similarly, a group having 1-5 cells refers to groups having 1, 2, 3, 4, or 5 cells, as well as the range of values greater than or equal to 1 cell and less than or equal to 5 cells, and so forth.

[0040] In addition, even if a specific number is explicitly recited, those skilled in the art will recognize that such recitation should be interpreted to mean at least the recited number (for example, the bare recitation of “two recitations,” without other modifiers, means at least two recitations, or two or more recitations). Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, et cetera” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (for example, “a system having at least one of A, B, and C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and / or A, B, and C together, et cetera). In those instances where a convention analogous to “at least one of A, B, or C, et cetera” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (for example, “a system having at least one of A, B, or C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and / or A, B, and C together, et cetera). It will be further understood by those within the art that virtually any disjunctive word and / or phrase presenting two or more alternative terms, whether in the description, sample embodiments, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase “A or B” will be understood to include the possibilities of “A” or “B” or “A and B.”

[0041] In addition, where features of the disclosure are described in terms of Markush groups, those skilled in the art will recognize that the disclosure is also thereby described in terms of any individual member or subgroup of members of the Markush group.

[0042] By hereby reserving the right to proviso out or exclude any individual members of any such group, including any sub-ranges or combinations of sub-ranges within the group, that can be claimed according to a range or in any similar manner, less than the full measure of this disclosure can be claimed for any reason. Further, by hereby reserving the right to proviso out or exclude any individual substituents, structures, or groups thereof, or any members of a claimed group, less than the full measure of this disclosure can be claimed for any reason.

[0043] The term “about,” as used herein, refers to variations in a numerical quantity that can occur, for example, through measuring or handling procedures in the real world; through inadvertent error in these procedures; through differences in the manufacture, source, or purity of compositions or reagents; and the like. Typically, the term “about” as used herein means greater or lesser than thevalue or range of values stated by 1 / 10 of the stated values, e.g., ±10%. The term “about” also refers to variations that would be recognized by one skilled in the art as being equivalent so long as such variations do not encompass known values practiced by the prior art. Each value or range of values preceded by the term “about” is also intended to encompass the embodiment of the stated absolute value or range of values. Whether or not modified by the term “about,” quantitative values recited in the present disclosure include equivalents to the recited values, e.g., variations in the numerical quantity of such values that can occur, but would be recognized to be equivalents by a person skilled in the art. Where the context of the disclosure indicates otherwise, or is inconsistent with such an interpretation, the above-stated interpretation can be modified as would be readily apparent to a person skilled in the art. For example, in a list of numerical values such as “about 49, about 50, about 55, about 50” means a range extending to less than half the interval(s) between the preceding and subsequent values, e.g., more than 49.5 to less than 52.5. Furthermore, the phrases “less than about” a value or “greater than about” a value should be understood in view of the definition of the term “about” provided herein.

[0044] It will be understood by those within the art that, in general, terms used herein are generally intended as “open” terms (for example, the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” et cetera). Further, the transitional term “comprising,” which is synonymous with “including,” “containing,” or “characterized by,” is inclusive or open-ended and does not exclude additional, unrecited elements or method steps. While various compositions, methods, and devices are described in terms of “comprising” various components or steps (interpreted as meaning “including, but not limited to”), the compositions, methods, and devices can also “consist essentially of’ or “consist of’ the various components and steps, and such terminology should be interpreted as defining essentially closed-member groups. By contrast, the transitional phrase “consisting of’ excludes any element, step, or ingredient not specified in the claim. The transitional phrase “consisting essentially of’ limits the scope of a claim to the specified materials or steps “and those that do not materially affect the basic and novel characteristic(s)” of the claimed invention.

[0045] The term “real-time” is used to refer to calculations or operations performed on-the-fly as events occur or input is received by the operable system. However, the use of the term “real-time” is not intended to preclude operations that cause some latency between input and response, so long as the latency is an unintended consequence induced by the performance characteristics of the machine.

[0046] Unless defined otherwise, all technical and scientific terms used herein have the same meanings as commonly understood by one of ordinary skill in the art. Nothing in this disclosure is tobe construed as an admission that the embodiments described in this disclosure are not entitled to antedate such disclosure by virtue of prior invention.

[0047] Throughout this disclosure, various patents, patent applications and publications can be referenced. The disclosures of these patents, patent applications and publications are incorporated into this disclosure by reference in their entireties in order to more fully describe the state of the art as known to those skilled therein as of the date of this disclosure. This disclosure will govern in the instance that there is any inconsistency between the patents, patent applications and publications cited and this disclosure.

Claims

CLAIMS1. A computer- implemented method for providing a user with information associated with a disease or a condition, the method comprising: receiving, by a computer system, user data associated with the user; receiving, by the computer system, a query from the user, wherein the query is associated with the disease or the condition; providing, by the computer system, content associated with the disease or the condition in response to the query, wherein the content is based on the user data, wherein the content was generated by a generative machine learning model; and providing, by the computer system, secondary services associated with the content, wherein the secondary services comprise at least one of (i) ability to purchase a product associated with the disease or the condition or (ii) scheduling for an appointment with a healthcare provider for the disease or the condition.

2. The computer-implemented method of claim 1, wherein the user data was input by the user.3 The computer-implemented method of claim 1 , wherein the user data was retrieved from a healthcare provider system.

4. The computer-implemented method of claim 3, wherein the user data comprises an electronic medical record.

5. The computer-implemented method of any one of claims 1—4, wherein the user data comprises at least one of bibliographic data, health data, or application history data.

6. The computer-implemented method of any one of claims 1-5, wherein the content comprises at least one of articles, listicles, charts, graphs, lists of references and / or links, videos, or audio clips.

7. A computer system for providing a user with information associated with a disease or a condition, the computer system comprising: a processor; and a memory coupled to the processor, the memory storing instructions that, when executed by the processor, cause the computer system to: receive user data associated with the user;receive a query from the user, wherein the query is associated with the disease or the condition; provide content associated with the disease or the condition in response to the query, wherein the content is based on the user data, wherein the content was generated by a generative machine learning model; and provide secondary services associated with the content, wherein the secondary services comprise at least one of (i) ability to purchase a product associated with the disease or the condition or (ii) scheduling for an appointment with a healthcare provider for the disease or the condition.

8. The computer system of claim 7, wherein the user data was input by the user.9 The computer system of claim 7, wherein the user data was retrieved from a healthcare provider system.

10. The computer system of claim 9, wherein the user data comprises an electronic medical record.

11. The computer system of any one of claims 7-10, wherein the user data comprises at least one of bibliographic data, health data, or application history data.

12. The computer system of any one of claims 7-11, wherein the content comprises at least one of articles, listicles, charts, graphs, lists of references and / or links, videos, or audio clips.

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