Automated STR File Review System for Forensic Data
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Solution Overview
Problem
Current automated STR systems face delays in forensic analysis due to the need for immediate expert review, which may not be available, especially in urgent situations or when STR files require revision to meet quality standards.
Innovation Solution
An improved automated STR system and method that combines automatic processing with the ability to initiate further actions when flags are present in STR files, allowing for automated uploading and communication with forensic scientists for review and revision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated STR systems require immediate expert review, then analysis accuracy is improved, but processing time increases and productivity decreases
Solution Approach 1:
The review process is segmented into automated preliminary review and human expert review of only flagged items. The system automatically processes STR files and segments them into two categories: files meeting quality standards (automatically uploaded) and files with flags (sent for expert review). This segmentation reduces the burden on experts and accelerates overall processing.
Solution Approach 2:
The automated STR system performs self-review by automatically evaluating STR files against quality standards and identifying flagged items. The system serves itself by autonomously determining which files require expert review, eliminating the need for experts to review all files and thereby improving productivity while maintaining accuracy.
2Reliability
If expert review is required for all STR files, then quality control is improved, but device complexity and operational difficulty increase
Solution Approach 1:
An automated review system acts as an intermediary between STR file generation and expert review. This intermediary automatically evaluates files, flags problematic items, and determines which files need expert attention. It mediates the process by filtering out files that don't require expert review, simplifying the overall system operation.
Solution Approach 2:
The manual mechanical process of expert review for all files is replaced with an automated electronic review system that uses algorithms and quality standards to evaluate STR files. This substitution reduces system complexity by replacing complex human judgment processes with automated decision-making for routine evaluations.
3Adaptability or versatility
If manual review processes are used, then flexibility and adaptability are improved, but loss of time and efficiency decrease
Solution Approach 1:
The automated review system enables continuous processing of STR files without interruption by human availability. Files are automatically reviewed as they are generated, with flagged items continuously identified and sent for expert review. This continuous automated action eliminates waiting time and maintains flexibility in handling varying workloads.
Solution Approach 2:
The automated system performs preliminary review actions by evaluating STR files against quality standards before they reach expert reviewers. Flagged items are pre-identified and prepared for expert review, while non-flagged items are automatically processed. This preliminary automated action saves time by preventing unnecessary expert review while maintaining adaptability.
Data Source
AI summary
A system for automated forensic data analysis includes a processor in communication with stored instructions, wherein upon execution of the instructions the processor is configured to: analyze a forensic biological data file; and determine, based on the analysis, that the forensic biological data file does not meet a quality criteria for forensic searching. In response to determining the quality criteria is not met, the processor is configured to automatically initiate communication with one or more remote computers to request a review of the forensic biological data file; and receive information about the review.