Automated Technology Selection for Clinical Trial Data Compliance

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Solution Overview

Problem

Researchers face difficulties in selecting appropriate technologies for data collection in research studies due to the vast array of available devices and software, with limited knowledge on capabilities, accuracy, and compatibility, leading to misconceptions and suboptimal technology choices.

Innovation Solution

A computer system that assesses and recommends technology options based on specific research study needs, utilizing a database of technology characteristics, machine learning models, and natural language processing to identify suitable devices and software for accurate and precise data collection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If researchers manually evaluate technology options, then they can understand technology capabilities, but the time and resources required for evaluation increase significantly

Engineering Contradiction:

Improvetechnology evaluation accuracyVSAvoidtechnology selection time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables self-service by automatically evaluating technology options against study requirements without requiring researcher intervention. The computer system autonomously compares technology capabilities with study needs, generates suitability scores, and recommends optimal technologies, freeing researchers from manual evaluation tasks while maintaining high evaluation accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical evaluation process with an automated computer-based system. Instead of researchers manually reviewing technology specifications and comparing capabilities, the system uses automated algorithms to assess technology options, calculate suitability scores, and generate recommendations, dramatically reducing evaluation time while preserving accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If researchers have access to comprehensive technology information, then they can make better technology choices, but the complexity of managing and processing this information increases

Engineering Contradiction:

Improvetechnology selection flexibilityVSAvoidinformation management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system extracts only the most relevant technology information needed for study requirements. Instead of presenting researchers with all available technology data, the system identifies and extracts specific capabilities, specifications, and performance metrics that directly relate to the study's data collection needs, reducing information complexity while maintaining selection flexibility

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies local quality by providing customized information tailored to each specific study's requirements. The system adjusts the depth and type of technology information presented based on the particular study needs, ensuring researchers receive appropriate level of detail for each technology aspect without being overwhelmed by unnecessary information

Inventive Principle:

Principle #3Local quality

3Reliability

If the system evaluates more technology factors, then the recommendation accuracy improves, but the computational resources and processing time required increase

Engineering Contradiction:

Improvetechnology recommendation reliabilityVSAvoidcomputational energy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by evaluating only the most critical technology factors relevant to each study's specific needs. Instead of comprehensively analyzing all possible technology attributes, the system identifies and assesses only the key factors that most significantly impact recommendation accuracy, reducing computational energy consumption while maintaining reliable recommendations

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent uses preliminary action by pre-establishing evaluation criteria, weighting schemes, and comparison frameworks before technology assessment begins. The system pre-configures the evaluation model with study-specific requirements and technology factor weights, so that during actual technology evaluation, the system can quickly process multiple technologies without repeatedly setting up evaluation parameters, reducing real-time computational energy demands

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11605038B1Selecting digital health technology to achieve data collection compliance in clinical trials

Publication Date: 2023.03.14 VIGNET INC

AI summary

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for technology assessment and selection. In some implementations, study data indicating parameters of a research study or an objective of a research study is received. Types of data to be collected during the research study are identified. Technology options that each represent one or more technology items that can provide the data to be collected are identified. A suitability score for each of the technology options is determined. A selection is made from among the technology options based on the suitability scores. Output data that indicates the selected technology options for the research study is provided.