Fertility Recommendation Engine Using Evidence-Based User Benchmarking
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Solution Overview
Problem
Couples experiencing fertility issues face challenges in accessing personalized and integrated lifestyle and dietary recommendations, leading to increased stress and delayed discovery of medical conditions due to hesitation in seeking professional help.
Innovation Solution
A system and method for providing real-time, personalized diet and lifestyle recommendations by receiving user attributes, comparing them to evidence-based fertility benchmarks, and generating customized fertility-enhancing suggestions through a cloud-based engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If couples hesitate to visit medical professionals due to discomfort or unawareness, then they avoid potential stress and tension, but their fertility may deteriorate further due to delayed discovery of medical conditions
Solution Approach 1:
The patent introduces a digital health platform as an intermediary between couples and medical professionals. This platform provides anonymous, stigma-free access to fertility assessments and recommendations, allowing users to seek help without the discomfort of direct medical consultation. The system bridges the gap by offering preliminary guidance that can prompt users to seek professional care when needed, thus improving ease of access while maintaining fertility outcomes.
2Ease of manufacture
If couples receive generic fertility advice, then the recommendation system is simple and easy to implement, but the effectiveness of the recommendations decreases for personalized needs
Solution Approach 1:
The patent implements local quality by providing personalized, customized fertility recommendations based on individual user profiles, medical histories, and specific fertility challenges. Rather than generic advice, the system tailors recommendations to each user's unique situation, including dietary needs, lifestyle modifications, and supplement recommendations specific to their fertility stage and medical conditions, thereby significantly improving recommendation effectiveness.
Solution Approach 2:
The system performs preliminary actions by conducting comprehensive fertility assessments and creating personalized action plans before users seek professional medical intervention. This preliminary guidance prepares users with specific, evidence-based recommendations that can be implemented immediately, making the overall fertility journey more effective and reducing the need for trial-and-error approaches.
3Reliability
If couples implement multiple lifestyle and dietary changes simultaneously, then fertility improvement potential increases, but the complexity of tracking and maintaining these changes increases
Solution Approach 1:
The patent applies segmentation by dividing fertility optimization into distinct, manageable modules: dietary recommendations, lifestyle modifications, supplement regimens, and tracking metrics. Users can implement changes in prioritized phases rather than all at once, with the system providing structured guidance that breaks down complex protocols into actionable, trackable components, thereby reducing overwhelming complexity while maintaining comprehensive fertility improvement potential.
Data Source
AI summary
Methods and systems for generating evidence-based dietary and lifestyle recommendations are presented. In one embodiment, a method is provided that includes requesting and receiving a plurality of user attributes. The method may further include comparing the user attributes to corresponding evidence-based fertility benchmarks and determining fertility support opportunities based on the user attributes and the comparisons to the corresponding evidence-based fertility benchmarks. In an embodiment, the method may also include identifying fertility enhancing recommendations based on the fertility support opportunities, and presenting at least one of the plurality of fertility enhancing recommendations.