SCIMAX ARIN

Predictive QA Engine

Utilizes predictive analytics using case data to reveal unidentified Adverse Events or Product Complaints.

Proactively Uncover Hidden Adverse Events and Product Complaints Early in the Game

Conventional MedInfo is reactive, where safety problems are detected only after the filing of medical inquiries. This late identification creates patient danger and exposes institutions to regulatory and reputational risk. The ARINs Predictive QA agent revolutionizes safety surveillance by using powerful predictive analytics on case data to predict unknown Adverse Events (AEs) and Product Complaints (PCs) prior to becoming large scale compliance issues.

Key Benefits

Identify Safety Issues Sooner than Ever Before

Using patterns learnt from historical case data, the AI agent is able to pick up signals of emerging safety reports before they become evident in traditional surveillance. Machine learning models have proved to detect safety signals earlier than human experts, leading to proactive risk mitigation and avoiding non-recording harm. This early warning ability offers a quality opportunity to put proactive risk management plans into place before safety events jump the track.

Be Accurate in the Identification of AEs and PCs

Advanced gradient boosting and machine learning methods improve disproportionality based analysis on a significant scale. This level of accuracy means teams can concentrate on real safety and quality issues rather than troubleshooting at a later date.

Lower Operation Costs and Increase Coverage

The use automated pattern recognition programs and risk models would eliminate the need for manual chart review and significantly reduce the laborious case-by-case approach that is currently employed. It enables extensive safety and quality monitoring, at a fraction of the cost compared to traditional methods, which captures previously unregistered adverse events and Product Complaints via the traditional route.

Features

Advanced Predictive Analytics Engine

Leverages model developed using machine learning techniques on past and immediate case data to detect unknown AEs and PCs. Looks for unusual clusters of events, changes in reporting frequency, and bizarre combinations of symptoms and complaints, continuously improving its precision as it processes more and more data.

Anomaly & Trend Detection Dashboard

Interactive visualizations and alerts make it easy to see patterns and outliers that would be impossible to detect by visual review alone. The dashboard also enables MedInfo teams to dive into areas of suspected risk, look into clustering of cases, and create documentation for regulatory review.

Seamless Integration with Case Management Systems

The agent connects directly to your existing medical information system, processing live cases without altering existing workflows. Avoid disaster, and keep everyone in sync. Automated alerts and summary insights are pushed to your teams in real-time, enabling fast and coordinated action.

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Learn how we can optimize your organization’s Scientific and Medical Affairs Programs with ARIN

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