Pharmaceutical Content Synthesis via User-Specific Templates
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Solution Overview
Problem
Generating different media content items regarding a pharmaceutical article for various user types is resource-intensive due to the need for tailored information and presentation styles suited to each user's level of engagement and understanding.
Innovation Solution
A device and method that synthesize pharmaceutical content items by populating content templates specific to each user type, based on expected engagement values, to provide relevant information in appropriate formats, reducing unnecessary resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pharmaceutical content items are generated for multiple user types with tailored information and presentation styles, then the relevance and engagement of content is improved, but the resource consumption and power usage increase
Solution Approach 1:
The patent segments content generation by creating separate content templates for different user types (e.g., patients, healthcare providers, payers). Each template is tailored to specific user needs and engagement levels, allowing the system to generate only the relevant content subset for each user type rather than generating all possible content variations, thus reducing overall resource consumption while maintaining high relevance.
Solution Approach 2:
The patent applies local quality by customizing content characteristics (information depth, presentation style, engagement level) specifically for each user type. The system determines expected engagement values for different user types and adjusts content properties locally according to these values, ensuring optimal relevance for each segment while avoiding the energy cost of generating fully customized content for every possible user scenario.
2Adaptability or versatility
If content templates are customized for each user type based on expected engagement values, then the engagement quality is improved, but the device complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-defining content templates for different user types based on expected engagement values. These templates are prepared in advance with appropriate information depth, presentation styles, and engagement characteristics. When generating content, the system simply selects and populates the appropriate pre-defined template rather than creating customized content from scratch, significantly reducing computational complexity while maintaining high adaptability.
Solution Approach 2:
The patent uses parameter changes by adjusting content properties (information depth, engagement level, presentation format) based on user type and expected engagement values. The system modifies template parameters dynamically to match the target user type without requiring complete template redesign, balancing customization needs with system simplicity.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods for tailoring information regarding a pharmaceutical article to user types. In various implementations, a device includes a non-transitory memory and a processor coupled with the non-transitory memory. In some implementations, a method includes obtaining a request to synthesize a plurality of pharmaceutical content items for respective user types. In some implementations, the plurality of pharmaceutical content items provides information regarding a pharmaceutical article. In some implementations, the method includes determining, for the respective user types, corresponding expected engagement values indicative of expected engagement with the subject. In some implementations, the method includes determining, based on the corresponding expected engagement values, respective content templates for the plurality of pharmaceutical content items. In some implementations, the method incudes synthesizing the plurality of pharmaceutical content items by populating the respective content templates with information regarding the pharmaceutical article.