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Patient Insights

Real-time patient safety monitoring with AI-generated alerts and customizable insights for clinical trials.

Solution by Saama
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Overview

Patient Insights provides real-time access to clean patient data, enabling active monitoring of patient safety through AI-generated alerts. This system enhances clinical trials by automatically identifying clinically significant data issues, helping to prevent early withdrawals and adverse events.

With powerful generative AI, users can interact with their data using natural language, allowing for the customization of alerts to improve safety and accelerate the discovery of clinical signals. This feature eliminates the need for programmers, as users can create custom rules and alerts effortlessly.

Benefits

  • Active Monitoring: AI-generated insights highlight significant clinical issues automatically.
  • Seamless Collaboration: Centralized management of patient safety tasks, assignable to medical reviewers, data managers, and vendors.
  • Personalized Alerts: Tailor AI alerts to notify users of relevant data, using natural language for custom rules.
  • Accelerated Workflows: Conduct medical reviews directly within dynamic patient profiles, saving time and reducing the need for multiple systems.

Features

  • Chat with Data: Use natural language to query data without waiting for programmers, powered by generative AI.
  • Smart Patient Profiles: Access consolidated clinical information and visuals for individual patients instantly.
  • Smart Suggestions: Automatically surface clinically relevant data issues to understand patient responses and identify safety concerns.
  • Interactive Review Listings: Explore data points further and issue queries directly within the system.
  • Study Configuration Promotion: Easily promote tested configurations from development to production environments.
  • Custom Rules: Create new Smart Suggestions using generative AI chat.

Patient Insights offers unsurpassed visibility into patient populations, allowing for better prediction of patient behavior and understanding of drug responses. Schedule a demo to explore its capabilities further.

Meta

Category
Clinical Trial Management
Field(s)
Clinical & Trials
Target user(s)
Clinical / Diagnostic ProfessionalBioinformatician / Data Scientist
Tag(s)
Clinical Trials ManagementAI