Medical Knowledge Database for Clinical Data Aggregation
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Solution Overview
Problem
Current clinical studies face delays in publication, restricted access, and specificity issues, hindering the timely and comprehensive selection of optimal treatment protocols for rare or new conditions.
Innovation Solution
A medical knowledge database and information exchange software method that aggregates, organizes, and analyzes clinical experiences from healthcare providers, enabling sequence alignments and predicting treatment progressions through case structures, statistical grouping, and patient identifier tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clinical studies are published through traditional scientific journals, then the information is well-documented and peer-reviewed, but there is an inescapable delay of months or years between study conclusion and publication
Solution Approach 1:
The patent implements preliminary action by allowing clinical studies to be posted to the database before formal publication in scientific journals. This enables the information to be made available immediately after study completion, eliminating the months or years of delay inherent in traditional publication processes, while maintaining reliability through subsequent peer-review publication
Solution Approach 2:
The patent introduces an intermediary solution by creating a separate database platform that serves as a bridge between study completion and formal journal publication. This intermediary database allows immediate access to study results while the formal publication process continues, resolving the conflict between speed and reliability
2Reliability
If clinical studies are restricted to particular publications for one year, then publication rights are protected, but there is a gap in information availability that hinders treatment providers
Solution Approach 1:
The patent applies preliminary action by making clinical study information available in the database before the one-year restriction period of traditional publications expires. This ensures continuous information availability for treatment providers, eliminating gaps that occur when journal access is restricted
Solution Approach 2:
The patent ensures continuity of useful action by maintaining permanent access to clinical study information in the database, unlike traditional journals that restrict access for one year. This continuous availability allows treatment providers to access information without interruption or delay
3Quantity of substance
If multiple clinical studies are conducted for a condition with specific treatment protocols, then comprehensive research data is generated, but the specificity of each study makes the information difficult to utilize
Solution Approach 1:
The patent merges multiple specific clinical studies into a unified database structure where studies are organized by standardized case structures, treatment protocols, and outcome measures. This consolidation maintains the comprehensive research data from multiple studies while making the information usable through standardized formatting and cross-study comparison capabilities
Solution Approach 2:
The patent creates a universal database system that can accommodate and standardize information from multiple different clinical studies with varying specificities. The system uses universal case structures and treatment protocol categorizations that allow information from diverse studies to be integrated and compared, enhancing usability while preserving the quantity of research data
Data Source
AI summary
A method for providing information exchange and analysis to a medical knowledge database that collects, organizes, and retrieves clinical experience information sets submitted by a plurality of treatment providers and researchers. The plurality of treatment providers and researchers submit clinical information containing biological sequences, signs and symptoms, and medical assessments to the database. the method searches the database for similar cases and if none are found, creates a new searchable case for the database and utilizes statistical calculations to determine an optimal treatment protocol, a treatment progression probability, and a patients personalized predicted medical future. The system accomplishes this through the use of a plurality of organizational and analysis methods that continually learns from its users, groups non-identical cases based on statistical similarities, performs sequence alignments on submitted biological sequences, utilizes pattern recognition software to determine similarities between medical images, and provides case follow ups to track treatment outcomes.