Referral Network Platform for Clinical Trial Enrollment
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Solution Overview
Problem
Clinical trials face challenges in identifying and recruiting suitable subjects for participation due to limited resources and inefficient enrollment processes, leading to delayed or unsuccessful execution of programs.
Innovation Solution
A predictive computing platform that analyzes healthcare data to identify suitable providers and establish referral connections between investigators and healthcare providers, using data analytics and machine learning to generate scores and facilitate electronic referral networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional mass media direct to patient campaigns and principal investigator recruitment methods are used, then subject enrollment can be achieved, but the process is delayed and resources are inefficiently utilized
Solution Approach 1:
The patent replaces traditional manual recruitment methods (mass media campaigns, investigator-led recruitment) with an automated electronic referral network system. The computing platform automatically identifies suitable subjects, scores providers, and establishes referral connections, substituting mechanical human efforts with an automated information processing system that analyzes healthcare data and facilitates referrals electronically.
Solution Approach 2:
The patent introduces an electronic referral network as an intermediary between investigators and providers. This intermediary computing platform facilitates subject identification and referral by analyzing healthcare data, generating provider scores, and establishing connections between investigators and suitable providers, thereby improving enrollment efficiency without requiring direct traditional recruitment methods.
2Quantity of substance
If principal investigators and geographic site locations use limited resources for developing and engaging existing subject networks, then some enrollment can be achieved, but enrollment targets are missed
Solution Approach 1:
The patent creates a universal electronic referral network that serves multiple functions: identifying suitable subjects, scoring and ranking providers, establishing referral connections, and facilitating communication between investigators and providers. This multi-functional system replaces multiple separate recruitment activities with a single integrated platform that handles subject enrollment comprehensively.
Solution Approach 2:
The computing platform performs self-service by automatically analyzing healthcare data to identify suitable subjects and providers without requiring manual intervention. The system autonomously generates provider scores, determines referral connections, and manages the enrollment process, reducing the need for investigators to manually engage with existing subject networks while achieving higher enrollment targets.
3Ease of operation
If manual subject identification and recruitment processes are used, then enrollment can occur, but the process requires extensive manual interventions and is inefficient
Solution Approach 1:
The patent implements preliminary action by pre-scoring and pre-qualifying providers before investigators need to recruit subjects. The computing platform analyzes healthcare data in advance, generates provider scores, and establishes the readiness of providers to refer subjects, so that when investigators need subjects, the referral process is already streamlined and ready to execute efficiently.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a computing platform that identifies information about a trial program, where the information is related to healthcare data included in datasets, and identifies an investigator based on the information about the trial program. A data analytics model of the platform generates an initial provider score for each provider in a group of providers based on analysis of the information. The analyzed information of the datasets includes healthcare data describing interactions between patients and providers in the group and criteria for the trial program. The platform provides a request to a subset of providers using the initial provider scores. The request is an invitation to for each provider to join a referral network. The platform uses the request to establish referral connections between the trial investigator and a provider in the subset.