POC Content Matching With Mutual-Consent Provider Selection

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Solution Overview

Problem

Traditional programmatic advertising systems for point of care (POC) facilities lack customization and control, leading to irrelevant digital content item display, low engagement, and inefficient spend, as they fail to target specific audiences and do not allow POC facilities or digital content item providers to customize their offerings.

Innovation Solution

A content matching system that enables POC facilities to select preferred digital content item providers and vice versa, using a matrix to match based on criteria such as geographic location and facility characteristics, ensuring mutual consent, and implementing a bid auction for efficient digital content item space allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional programmatic advertising systems are used for POC facilities, then digital content items can be displayed automatically, but the system lacks customization and control leading to irrelevant content display

Engineering Contradiction:
Improvecustomization capabilityVSAvoidcontent relevance
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system segments the digital content item space into multiple selectable slots, allowing POC facilities to choose specific providers for different content spaces. This segmentation enables customized content placement while maintaining automated delivery, resolving the contradiction between automation and customization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts content selection based on real-time criteria including geographic location, facility characteristics, and provider preferences. This dynamic matching ensures relevant content is displayed while maintaining system automation, addressing both customization needs and content relevance.

Inventive Principle:
Principle #15Dynamics

2Productivity

If traditional programmatic advertising systems are used, then content delivery is automated, but engagement is low and spend is inefficient

Engineering Contradiction:
Improveadvertising efficiencyVSAvoidad spend waste
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system incorporates feedback mechanisms where POC facilities provide selections of preferred providers, and the system uses this feedback to optimize content delivery. This feedback loop ensures ad spend is directed to relevant content only, improving efficiency and reducing waste.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes key parameters such as geographic location, facility characteristics, and provider preferences to match content with appropriate audiences. This parameter optimization ensures efficient ad spend by targeting only relevant content displays, reducing wasted expenditure on irrelevant content.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If POC facilities have control over content selection, then content relevance increases, but system complexity increases

Engineering Contradiction:
Improvecontent alignmentVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system introduces an intermediary matching mechanism that automatically processes facility selections and matches them with appropriate content providers. This intermediary layer simplifies the interface for facilities while maintaining sophisticated matching logic, reducing perceived complexity while improving content alignment.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service by allowing POC facilities to autonomously select preferred content providers through simple interfaces. The automated matching logic handles the complex processing, enabling facilities to have control without managing system complexity directly.

Inventive Principle:
Principle #25Self-service

4Productivity

If bid auction is implemented for content space allocation, then allocation efficiency improves, but implementation complexity increases

Engineering Contradiction:
Improvespace allocation efficiencyVSAvoidimplementation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-establishing facility selections and provider preferences before the bid auction occurs. This preparation simplifies the auction process by reducing real-time decision complexity, improving allocation efficiency while managing implementation complexity through advance configuration.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20260050948A1Digital content matching system
Publication Date: 2026.02.19 VRTLY INC
  • US20260050948A1 patent drawing
  • US20260050948A1 patent drawing
  • US20260050948A1 patent drawing

AI summary

Described is a system for the placement of digital content items on a digital content item space for a point of care (POC) facility by identifying a display interface for a point of care (POC) facility, the display interface including a digital content item space to display a digital content item, identifying one or more digital content item providers for the digital content item space; accessing a selection of the one or more digital content item providers, and identifying a set of digital content item providers for the digital content item space based on the selection.The system then causes display of the digital content item on the display interface based on the identified set of digital content item providers.