SCIMAX ARIN

Retrospective QA Engine

Archived cases are re-reviewed to identify any such Adverse Events and Product Complaints that may have been overlooked during review of the original cases.

AI-Enhanced Retrospectives Increase the Quality of Inquiries

React not just to quality defects, but rather prevent them proactively. Our Retrospective Quality Assurance agent allows you to glean key insights from your historical inquiry dialects. By cleverly examining historical data through cutting-edge AI, you can diagnose the cause of errors, streamline processes, and maintain consistently high quality inquiry handling in future.

Key Benefits

AI Powered Retrospection

Leverage the skills of sophisticated AI for real-time analysis of stored issues, pinpointing important patterns and improvement opportunities. Agent takes a dive into history, by quickly searching the Archive Inquiries to find common issues, ignored adverse events and buried product complaints. With its ability to query metadata to find longitudinal trends and group like case types together, the AI identifies systemic shortcomings and quickly identifies what needs to be fixed, leaving you with insights into operations that can be improved and protocols that can be updated.

Holistic Quality Understanding

Gain a comprehensive view of your inquiry handling performance across various channels and timeframes. With real-time analytics and customizable reporting, this holistic overview enables you to track trends and performance metrics seamlessly whether it’s email, phone, web forms, or mail inquiries. By understanding volume fluctuations, response times, and resolution quality over days, weeks, or months, you can identify bottlenecks, allocate resources more effectively, and tailor your strategies to meet evolving customer needs.

Data Driven Improvement

Turn historical data into tangible ROI in the form of efficiency, accuracy, and customer service. This learning cycle sustains customer satisfaction while enabling the delivery of accurate, timely, timely and relevant information, turning each piece of historical data into a key component that supports operational excellence, well-being and growth.

Features

Automated Inquiry Analysis

Easily review solved queries pointing out anomalies and identifying the missing potential case elements in cold cases. The AI agent uses sophisticated natural language processing and pattern matching to systematically comb through cases for any overlooked gaps or inconsistencies in the initial processing done at the beginning. It will also draw attention to incomplete information, missing documentation or undisclosed adverse events that can be reviewed and corrected by your team.

Root Cause Identification

Following the set business logic, the AI agent assesses each question strokes and is smart enough to spot missing case components. It doesn’t just determine what information or documentation isn’t there, it also gets at the root causes of inconsistencies or errors in how the original inquiry was responded to. This can involve omissions, such as inpatient data that are incomplete, overlooked details of an AE or idiosyncratic paths from known response pathways.

Actionable Insights & Reporting

Get crystal clear reports that highlights important findings and suggest data backed actions to take to optimize your process and training. These are indications of discrepancies, repeated mistakes, or ways in which case handling is at variance with best practices, that are being identified and making transparent initiatives for actions.

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

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