ALAT-Assisted Literature Acquisition and Triage is a solution used for literature curation and review of published medical literature from various data sources.
The ALAT system relies upon a robust machine learning AI system to extract key safety information like Product, Event, Patient Details, and Indications from the literature articles besides extracting other details.
The ALAT system is also integrated with the HiLIT platform’s case intake module to ease the workflow of reporting safety information to safety databases and regulatory reporting.
Features
Literature Search and Review
Easy composable search strategy (Manual/Scheduled search ) on various data sources PubMed, EMBASE, Medline, etc.
Assistive screening and scoring of literature articles
Intelligent Automation
AI/ML-based efficient extraction of key elements (product, event, indication patient, reporter, and COI)
AI/ML-based classification of valid/invalid ICSRs
AI/ML-based validity and safety scoring for literature articles for faster reporting
Compliance
21CFR art11 and GDPR Compliant data
Audit ready activity tracking for the changes made by the user and the system
Simplified Workflow
Configurable workflows for maximum precision of the process
Automated literature assignment to the right user roles
Productivity gains and faster reporting with artificial intelligence assistance
Send email communications from the system with attachments (e.g., assessment reports, generated E2b files)
Request for full-text and translation of literature abstracts via an in-built email system
Intuitive UI
Open-source solution
Intelligent GUI for easy click and save of literature data
Web service for quick integration to all systems
Proactive alert system for timely intervention
Configurable dashboards for metrics tracking
Features
Literature Search and Review
Easy composable search strategy (Manual/Scheduled search ) on various data sources PubMed, EMBASE, Medline, etc.
Assistive screening and scoring of literature articles
Intelligent Automation
AI/ML-based efficient extraction of key elements (product, event, indication patient, reporter, and COI)
AI/ML-based classification of valid/invalid ICSRs
AI/ML-based validity and safety scoring for literature articles for faster reporting
Simplified Workflow
Configurable workflows for maximum precision of the process
Automated literature assignment to the right user roles
Productivity gains and faster reporting with artificial intelligence assistance
Send email communications from the system with attachments (e.g., assessment reports, generated E2b files)
Request for full-text and translation of literature abstracts via an in-built email system
Intuitive UI
Open-source solution
Intelligent GUI for easy click and save of literature data
Web service for quick integration to all systems
Proactive alert system for timely intervention
Configurable dashboards for metrics tracking
Compliance
21CFR art11 and GDPR Compliant data
Audit ready activity tracking for the changes made by the user and the system