Description:Filed of the invention

[0001] The present invention relates to automated systems and methods for tracking interactions with digital advertisements, calculating payouts, and delivering personalized content to users, particularly healthcare professionals (HCPs).

Background of the invention

[0002] In digital advertising, particularly in the healthcare industry, tracking user interactions and compensating users fairly based on their engagement poses significant challenges. Healthcare professionals (HCPs) such as doctors and nurses are a valuable audience for advertisers in fields like pharmaceuticals, medical devices, and healthcare services. However, existing advertising systems often lack reliable mechanisms to track engagement accurately, leading to questions about data transparency and trustworthiness. Traditional data tracking methods may be vulnerable to tampering, resulting in inconsistencies that make it difficult for advertisers to measure campaign effectiveness confidently.

[0003] Furthermore, existing systems generally use fixed payout models that do not account for the quality or depth of engagement, leading to situations where HCPs are compensated equally for varying levels of interaction. This inability to fairly differentiate payouts based on engagement quality may reduce the platform’s effectiveness and create inequitable compensation structures. Privacy and consent management are also critical issues, as HCPs are cautious about data sharing and must have control over their consent status for regulatory compliance. Many platforms lack secure mechanisms to record changes in consent and to prevent data collection once consent is revoked, posing risks of non-compliance with regulations such as HIPAA in the U.S. and GDPR in the EU. Additionally, existing advertising platforms often fail to provide relevant, personalized content aligned with the specific specialties or interests of HCPs, leading to lower engagement rates.

[0004] For example, an HCP specializing in cardiology may find general medical advertisements irrelevant and would prefer targeted advertisements related to cardiovascular treatments. Without advanced personalization, platforms deliver generic advertisements that do not effectively engage users. Furthermore, most platforms lack structured incentives to encourage HCPs to interact with content or participate in activities like quizzes and surveys, which could improve engagement and provide deeper insights into user preferences.

[0005] Therefore, there is a need for an integrated system that combines secure data tracking, dynamic compensation models, user-controlled privacy management, advanced content personalization, and incentive-based engagement.

Objects of the invention

[0006] An object of the present invention is to provide an automated system and method for secure interaction tracking, personalized ad delivery, and dynamic payouts for healthcare professionals.

[0007] Another object of the present invention is to provide a secure, tamper-proof mechanism for tracking healthcare professionals’ interactions with digital advertisements, ensuring data integrity through blockchain technology.

[0008] Yet another object of the present invention is to enable accurate, real-time calculation of payouts for healthcare professionals based on engagement quality, advertisement demand, and predefined thresholds, using an AI-driven payout engine.

[0009] A further object of the present invention is to implement a robust privacy and consent management system that allows healthcare professionals to control their data usage, ensuring compliance with data protection regulations.

[0010] An additional object of the present invention is to deliver highly targeted and relevant advertisements to healthcare professionals, using AI to match content with each user’s specialty, geographic location, and engagement history.

[0011] A still further object of the present invention is to incentivize healthcare professionals by providing rewards for engaging with platform content, participating in surveys, and referring other professionals, thereby enhancing engagement and user satisfaction.

Summary of the invention:

[0012] According to the present invention, there is provided an automated system and method for managing healthcare professionals’ activity. Specifically, the system and method are disclosed for tracking interactions, calculating payouts, and personalizing content delivery for healthcare professionals (HCPs) interacting with digital advertisements. The system may comprise an account management module configured to receive and verify user credentials to confirm HCP status, and to create a unique identifier associated with the user. In one embodiment, the account management module can verify credentials using a national provider identifier (NPI) to confirm the user’s HCP status.

[0013] The system further comprises a consent management module configured to obtain and store user consent for data collection, wherein changes in consent status are recorded on an immutable ledger. In one aspect, this ledger may be a blockchain ledger on which each consent status update is stored immutably.

[0014] The system may include a tracking module configured to monitor and log interactions between HCPs and digital content, including advertisements, with each interaction recorded with engagement data, including interaction type and timestamp. The tracking module may also be configured to monitor specific content types, such as articles, webinars, and other field-related materials, with each engagement type recorded with a corresponding timestamp.

[0015] A dashboard generation module is configured to create a user dashboard that displays engagement metrics, including areas of interest, time spent on content, and frequency of interactions based on recorded interactions. In an embodiment, the dashboard may be updated in real-time to reflect current engagement metrics.

[0016] The system may include a personalization module configured to deliver targeted advertisements based on profile data, such as the HCP’s specialty, interest, engagement history, and geographic location. This module can update targeting parameters in response to ongoing interaction data to refine advertisement delivery based on user engagement patterns. In one aspect, the personalization module may be AI-based, incorporating a natural language processing (NLP) component to analyse advertisement content, ensuring alignment with the user’s specialty and engagement history.

[0017] A payout calculation module is configured to compute payouts based on recorded interactions and engagement metrics. In one embodiment, the payout calculation module may adjust payout values based on parameters including interaction quality, advertisement demand, and a predefined payout threshold. In some cases, the payout calculation module may further be configured to credit funds to the user’s account once the calculated payout reaches a predefined threshold.

[0018] The system further includes a reward management module configured to allow users to earn rewards for activities, including content engagement, quiz participation, survey responses, and referrals. The reward management module may support incentives based on each activity and may display rewards within the user’s dashboard. In an embodiment, the reward management module includes a financial management feature that analyzes points utilization and payout behavior to provide users with financial insights related to their engagement and rewards.

[0019] In another aspect, a method for for managing healthcare professionals’ activity is disclosed. The method may comprise steps for receiving user credentials, verifying HCP status, and creating a unique identifier associated with the user. User consent for data collection may be obtained and stored on a secure, immutable ledger, with each change in consent status recorded immutably.

[0020] The method further includes tracking and logging interactions between the HCP and digital content, including advertisements, wherein each interaction is recorded with engagement data comprising interaction type and timestamp. The method may further comprise tracking user engagement with specific content types, including articles, webinars, and other field-related materials.

[0021] A user dashboard may be generated to display engagement metrics, including areas of interest and engagement time for each content area. The dashboard may be updated in real-time to reflect current engagement metrics. Advertisement delivery may be personalized by selecting targeted advertisements based on profile data, including the HCP’s specialty, interest, engagement history, and geographic location. Targeting parameters may be updated based on ongoing interaction data to refine advertisement delivery based on engagement patterns. Advertisement content may be analyzed using natural language processing (NLP) to match relevant advertisements to the HCP’s specialty, interest, and engagement history.

[0022] The method may also include calculating a payout amount based on the recorded interactions and engagement metrics, with the payout amount adjusted based on engagement quality, advertisement demand, and predefined payout thresholds. Funds may be credited to the user’s account only when the payout amount reaches a predefined threshold.

[0023] The method further comprises providing rewards or incentives to the user for activities, including content engagement, quiz participation, survey responses, and referrals. Each activity may generate a reward credited to the user’s account. The method may also analyze the user’s reward utilization and payout behavior to provide financial insights related to engagement and rewards.

Brief description of drawings:

[0024] The advantages and features of the present invention will be understood better with reference to the following detailed description and claims taken in conjunction with the accompanying drawings, wherein like elements are identified with like symbols, and in which:

[0025] Figure 1 illustrates a block diagram of an automated system for managing healthcare professionals’ activity in accordance with the present invention; and

[0026] Figure 2 illustrates a flowchart showing a method for managing healthcare professionals’ activity in accordance with the present invention.

Detailed description of the invention:

[0027] An embodiment of this invention, illustrating its features, will now be described in detail. The words "comprising," "having," "containing," and "including," and other forms thereof, are intended to be equivalent in meaning and be open-ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items or meant to be limited to only the listed item or items.

[0028] The terms “first,” “second,” and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another, and the terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. The disclosed embodiments are merely exemplary of the invention, which may be embodied in various forms.

[0029] The present invention provides an automated system and method for managing healthcare professionals’ activity. Specifically, a system and method for securely tracking interactions, calculating payouts, and personalizing digital advertising content for healthcare professionals (HCPs), such as doctors, nurses, and other licensed medical practitioners. The invention addresses multiple challenges in the field of digital advertising, including secure interaction tracking, transparent data management, personalized content delivery, and dynamic compensation based on engagement metrics.

[0030] Referring now to figure 1, the system (100) includes interconnected modules that together enable secure tracking, personalized advertisement delivery, and dynamic payout management. By including blockchain technology and user-centric design, the system (100) implements personalized ad delivery, compensation based on engagement metrics, and additional functional components. The system (100) includes an account management module (110), a consent management module (120), a tracking module (130), a dashboard generation module (140), a personalization module (150), a payout calculation module (160), and a reward management module (170). These modules collectively provide a complete framework for managing HCP interactions with digital advertisements in a secure and transparent manner.

[0031] The account management module (110) verifies user credentials and confirms that the user is a healthcare professional. This verification can be conducted by cross-referencing the user’s information with a national provider identifier (NPI) database, which stores the unique credentials of registered healthcare professionals. Once verified, the system (100) assigns a unique identifier to each HCP, ensuring that subsequent interactions are securely associated with that specific user profile.

[0032] For example, an HCP registers on the platform by entering personal information and providing a medical license number. The account management module (110) validates this information against an NPI database. Upon successful verification, a unique identifier is generated for the HCP, linking all future interactions with this identifier.

[0033] The consent management module (120) is responsible for managing user consent for data collection and storage, which is essential for compliance with privacy regulations. This module records each instance of consent given or withdrawn by the HCP on a secure, immutable ledger, such as a blockchain. By recording consent status immutably, the system (100) ensures that only interactions where consent has been actively provided are tracked, and that the HCP’s consent history remains unaltered. Each consent status update is recorded as a separate transaction on the ledger to maintain a transparent, compliant record of all consent actions.

[0034] For example, during the registration process, the HCP is prompted to provide consent for data collection. The system (100) records this consent as a transaction on a blockchain ledger. Later, if the HCP withdraws consent, this change is recorded immutably on the ledger, ensuring an accurate record of consent status for compliance purposes.

[0035] The tracking module (130) monitors and logs all interactions between the HCP and digital content, including advertisements. Each interaction is recorded with specific engagement data, such as the type of interaction (e.g., view, click), the content identifier, and a timestamp. This tracking allows advertisers to understand the level and type of engagement for each piece of content, enabling a clear and transparent record of interactions. The tracking module (130) is also configured to track user engagement with various content types, including articles, webinars, and other healthcare-related materials, allowing the system (100) to capture a detailed record of user interaction patterns.

[0036] For example, an HCP clicks on an ad for a new medical device and then views an informational video associated with the ad. The tracking module (130) logs these interactions by capturing the engagement type ("click" and "video view") along with the content ID and timestamp, creating a detailed record of the HCP’s engagement with the advertisement.

[0037] The dashboard generation module (140) provides HCPs with a visual interface displaying their engagement metrics. This dashboard is updated in real-time and allows HCPs to view areas of interest, the time spent on specific content types, and the frequency of their interactions. The dashboard presents engagement data in an easily accessible format, helping HCPs understand their own interaction patterns. The dashboard generation module (140) also includes tools configured to provide financial management guidance by analyzing points utilization and payout behavior, allowing HCPs to optimize earned rewards based on their activity and engagement levels.

[0038] For example, an HCP logs into their dashboard and can see metrics indicating that they have spent 30 minutes on cardiology-related content and viewed five advertisements in the past week. The dashboard also shows data on the types of interactions (e.g., article views, video engagements), giving the HCP a transparent overview of their activity on the platform.

[0039] The personalization module (150) customizes ad delivery for each HCP based on profile data, including the HCP’s specialty, interest, preferences, location, and past engagement history. This module dynamically adjusts the types of advertisements shown to each HCP to ensure relevance.

[0040] For example, an HCP specializing in oncology may receive advertisements related to cancer treatments, while a pediatric specialist may see advertisements relevant to child healthcare or HCP may receive advertisements related to other preferences such as advertisements related to holidays or trips planning.

[0041] Further, the personalization module (150) is AI-based and uses natural language processing (NLP) to analyze ad content, matching it to the user’s profile keywords. Advertisements are then filtered based on specialty and geographic location, ensuring the content aligns with the professional focus and regulatory requirements of the user’s region.

[0042] For example, an HCP specializing in cardiology in Europe receives advertisements specifically related to heart health and treatments. If an ad mentions cardiovascular terminology, NLP identifies this alignment, enhancing the likelihood of a successful match between the ad and the HCP’s interests.

[0043] The payout calculation module (160) determines the payout amount for each HCP based on recorded engagement metrics. The module uses an impression model that weighs each ad impression according to factors such as engagement quality, advertisement demand, and real-time bid values. The payout module focuses on fair compensation, where payouts are determined based on the quality and frequency of ad consumption and interactions. The system (100) ensures that each engagement is fairly compensated according to its measured value and advertiser demand. Payouts are dynamically adjusted to ensure fair compensation for the quality and quantity of engagement provided.

[0044] Payouts are credited to the HCP’s account only when the accumulated amount reaches a predefined threshold, ensuring efficient financial management.

[0045] For example, If an HCP spends significant time on a high-demand ad, the payout calculation module (160) assigns a higher value to that interaction. Once the HCP’s engagement reaches the platform’s minimum threshold for payout (e.g., $50), funds are credited to their account automatically.

[0046] The reward management module (170) provides incentives for HCPs to engage with platform content, participate in surveys, complete quizzes, and refer other HCPs. The reward management module (170) is completely behavior-based, analyzing each HCP’s interaction patterns to offer rewards that align with their engagement level and preferences. This module allocates points or credits to HCPs for each qualifying activity, with rewards visible in the user’s dashboard. Additionally, the module tracks reward utilization and payout behaviors, providing the HCP with financial insights into their activity. This module supports a user-specific interaction process, where rewards and financial insights are configured according to each HCP’s recorded behavior.

[0047] For example, An HCP earns reward points for completing a survey about a new medical product. These points accumulate in their account, and the HCP can later redeem them for various rewards. The reward management module (170) also displays insights about the HCP’s engagement and reward accumulation patterns, helping them understand the financial value of their interactions.

[0048] The system (100) is dedicated to healthcare professionals, providing a range of features to improve their experience. Fraud prevention measures are integrated within the tracking module (130) to ensure that only verified interactions are recorded, preventing unauthorized engagements and maintaining the system (100)'s data reliability.

[0049] Referring now to figure 2, a method (200) for managing healthcare professionals’ activity in accordance with the present invention is provided. For the sake of brevity, the method (200) is explained in conjunction with the system (100).

[0050] The method (200) starts at step 210.

[0051] At step 220, the system (100) receives user credentials and verifies that the user is an HCP by cross-referencing the credentials with an NPI database. Upon successful verification, a unique identifier is generated.

[0052] At step 230, the system prompts the HCP to provide consent for data collection, which is stored immutably on the ledger. If the HCP withdraws consent, this status is updated and recorded on the ledger to prevent further tracking.

[0053] At step 240, the tracking module (130) monitors all HCP interactions with digital content, logging details such as interaction type, timestamp, and content ID. This log serves as a secure record for future reference.

[0054] At step 250, the dashboard generation module (140) creates a user visual dashboard for the HCP, displaying real-time engagement metrics including areas of interest and engagement time for each content area based on the recorded interactions. This dashboard provides transparency and allows the HCP to view interaction data.

[0055] At step 260, the personalization module (150) uses HCP profile data to customize ad delivery, selecting advertisements based on specialty, location, and engagement history.

[0056] At step 270, as the HCP interacts with content, targeting parameters are continuously refined for improved personalization based on user preferences and engagement patterns.

[0057] At step 280, the payout calculation module (160) assesses the recorded interactions to calculate the payout amount, adjusting the payout based on engagement quality, advertisement demand and predefined payout threshold factors.

[0058] At step 290, the funds are credited to the HCP’s account once a minimum payout threshold is met.

[0059] At step 300, the reward management module (170) provides additional incentives by awarding points for platform engagement, survey participation, and referrals. The module also offers insights into the HCP’s reward utilization, providing a comprehensive view of accumulated rewards.

[0060] The method ends at step 310.

[0061] Therefore, the advantage of the present invention is to provide a secure, transparent, and efficient system (100) for tracking interactions, delivering personalized advertisements, and dynamically calculating payouts for healthcare professionals. It uses blockchain to securely record data and manage user consent, ensuring that all data is trustworthy and meets privacy regulations. The system (100) dynamically adjusts payouts based on the quality and frequency of each interaction, so healthcare professionals are compensated fairly. It also customizes advertisements to match each professional's specialty and location, making advertisements more relevant and engaging. A user-friendly dashboard lets professionals see their activity and rewards in real-time, and a reward module offers incentives for engaging with advertisements, surveys, and referrals. Together, these features create a transparent and reliable platform that benefits both healthcare professionals and advertisers.

[0062] The foregoing descriptions of specific embodiments of the present invention have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present invention to the precise forms disclosed, and obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to explain the principles of the present invention best and its practical application, to thereby enable others skilled in the art to best utilise the present invention and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstance may suggest or render expedient, but such are intended to cover the application or implementation without departing from the scope of the claims of the present invention.
, Claims:We Claim:

1. An automated system (100) for managing healthcare professionals’ activity, the system (100) comprising:
an account management module (110) configured to receive and verify user credentials to confirm that the user is a healthcare professional, wherein the account management module (110) creates a unique identifier associated with the user;
a consent management module (120) configured to obtain and store user consent for data collection, wherein the consent management module (120) records changes to the consent status on a secure, immutable ledger;
a tracking module (130) configured to monitor and log user interactions with digital content, including advertisements, wherein each interaction is recorded with engagement data, comprising an interaction type and timestamp;
a dashboard generation module (140) configured to create a user dashboard that displays engagement metrics, including areas of interest and engagement time for each content area based on the recorded interactions;
a personalization module (150) configured to deliver targeted advertisements to the user based on profile data, including the user’s specialty, interest, engagement history, and geographic location, wherein the personalization module (150) updates targeting parameters in response to ongoing interaction data;
a payout calculation module (160) configured to compute payouts based on recorded interactions and engagement metrics, wherein the payout calculation module (160) adjusts payout values based on parameters including interaction quality, advertisement demand, and predefined payout thresholds; and
a reward management module (170) configured to allow users to earn rewards for engaging with platform content, participating in surveys, or referring other users.

2. The system (100) as claimed in claim 1, wherein the account management module (110) is further configured to verify user credentials using a national provider identifier (NPI) to confirm the user is a healthcare professional.

3. The system (100) as claimed in claim 1, wherein the consent management module (120) records user consent as a transaction on a blockchain ledger, wherein each change in consent status is stored immutably.

4. The system (100) as claimed in claim 1, wherein the tracking module (130) is further configured to monitor user engagement with specific content types, including articles, webinars, and other field-related materials, and log each engagement type with a corresponding timestamp.

5. The system (100) as claimed in claim 1, wherein the dashboard generation module (140) updates the user dashboard in real-time to display engagement metrics, including areas of interest, time spent on content, and frequency of interactions.

6. The system (100) as claimed in claim 1, wherein the personalization module (150) is an AI based which includes a natural language processing (NLP) component that analyzes advertisement content to ensure alignment with the user’s specialty and engagement history.

7. The system (100) as claimed in claim 1, wherein the payout calculation module (160) is configured to adjust payouts based on an impression model, wherein each impression is weighted according to engagement quality and advertisement demand.

8. The system (100) as claimed in claim 1, wherein the payout calculation module (160) is further configured to credit funds to the user’s account once the calculated payout reaches a predefined threshold.

9. The system (100) as claimed in claim 1, wherein the reward management module (170) provides incentives to users for activities including content engagement, quiz participation, survey responses, and referral of other healthcare professionals.

10. The system (100) as claimed in claim 1, wherein the reward management module (170) includes a financial management feature that analyzes points utilization and payout behavior to provide users with financial insights related to their engagement and rewards.

11. A method (200) for managing healthcare professionals’ activity, the method (200) comprising the steps of:
receiving user credentials and verifying that the user is a healthcare professional by validating the credentials, and creating a unique identifier associated with the user;
obtaining user consent for data collection and storing the consent status on a secure, immutable ledger, wherein changes to the consent status are recorded immutably;
tracking and logging interactions between the user and digital content, including advertisements, wherein each interaction is recorded with engagement data comprising an interaction type and timestamp;
generating a user dashboard displaying engagement metrics, including areas of interest and engagement time for each content area based on the recorded interactions;
personalizing advertisement delivery by selecting targeted advertisements for the user based on profile data, including the user’s specialty, interest, engagement history, and geographic location;
updating targeting parameters in response to ongoing interaction data to refine advertisement delivery based on user preferences and engagement patterns;
calculating a payout amount based on the recorded interactions and engagement metrics, wherein the payout amount is adjusted based on engagement quality, advertisement demand, and predefined payout thresholds;
crediting funds to the user’s account once the calculated payout amount reaches a predefined threshold; and
providing rewards or incentives to the user for engaging with platform content, participating in surveys, or referring other healthcare professionals to the platform.

12. The method (200) as claimed in claim 11, wherein the user credentials are verified using a national provider identifier (NPI) to confirm that the user is a healthcare professional.

13. The method (200) as claimed in claim 11, wherein the consent status is stored as a transaction on a blockchain ledger, with each change in consent status recorded immutably.

14. The method (200) as claimed in claim 11, further comprising tracking and logging user engagement with specific content types, including articles, webinars, and field-related materials, and recording each engagement with a corresponding timestamp.

15. The method (200) as claimed in claim 11, further comprising updating the user dashboard in real-time to display engagement metrics, including areas of interest, time spent on content, and frequency of interactions.

16. The method (200) as claimed in claim 11, further comprising analyzing advertisement content using natural language processing (NLP) to match relevant advertisements to the user’s specialty, interest and engagement history.
17. The method (200) as claimed in claim 11, wherein the payout amount is calculated based on an impression model, with each impression weighted according to engagement quality and advertisement demand.

18. The method (200) as claimed in claim 11, wherein funds are credited to the user’s account only when the payout amount reaches a predefined threshold, as determined by the engagement metrics and predefined rules.

19. The method (200) as claimed in claim 11, further comprising providing incentives to the user for activities including quiz participation, survey responses, and referrals, with each activity generating a reward credited to the user’s account.

20. The method (200) as claimed in claim 11, further comprising analyzing the reward and payout utilization behavior of the user to provide financial insights related to the user’s engagement and reward activities.