DistillerSR: AI-Enabled Literature Review Software

Description

DistillerSR is an AI-enabled evidence management platform designed to automate the conduct and management of literature-based research and surveillance. Trusted by over 250 companies, including 80% of top pharmaceutical and medical device firms, DistillerSR transforms literature evidence into a shareable organizational asset, reducing costs and accelerating research delivery.

The platform's core capabilities revolve around intelligent automation and AI, evidence reuse, data extraction and reporting, seamless data integration, and expert managed services. Intelligent Automation & AI features include AI-driven screening that reduces screening time by up to 70%, configurable workflows for standardization, and an audit-ready integrated trail for 100% traceable evidence. This AI automation lowers costs and eliminates repetitive tasks throughout the literature review pipeline.

Evidence Reuse is facilitated by eliminating costly rework and reducing evidence silos through centralized access. This allows organizations to reuse extracted data, preventing duplicate purchases and ensuring consistency. The Extract & Report capabilities offer up to 70% reduced data extraction time with AI-enabled forms and human-in-the-loop validation. A customizable reporting engine provides faster, more insightful analysis that can be shared across an organization.

Data Integration capabilities allow for direct connection to corporate libraries like RightFind and PubMed, as well as business intelligence tools such as Power BI and Tableau, for enhanced visualization and analysis. Evidence enrichment through third-party integrations further enhances the data. Expert Managed Services are available to reduce costs and accelerate time to value by leveraging DistillerSR's team expertise, freeing up internal teams to focus on core competencies.

DistillerSR's approach to AI emphasizes security, control, and compliance, with AI models hosted within a secure ecosystem and customer-led processing controls to respect publisher agreements. Data isolation, no training on customer references, and aggressive grounding with attribution ensure data privacy and transparency. This makes DistillerSR a powerful tool for global research organizations seeking to improve decision-making, accelerate project timelines, and mitigate risks associated with evidence synthesis.

DistillerSR: AI-Enabled Literature Review Software's Core Features

• AI-enabled automation for literature reviews

• Automates literature-based research and surveillance

• Reduces costs and accelerates research delivery

• Configurable and auditable workflows

• Intelligent automation and AI for screening and data extraction

• Evidence reuse to eliminate silos and rework

• Centralized evidence access and management

• AI-enabled forms and data standardization

• Customizable reporting engine

• Direct integration with corporate libraries and BI tools

• Expert managed services for cost savings and faster time to value

• 100% traceable evidence with integrated audit trail

• AI Rerank and AI Classifiers for intelligent screening

• Purpose-built GenAI for Smart Evidence Extraction (SEE)

• Agentic AI for drafting regulatory reports and synthesizing insights

How to use DistillerSR: AI-Enabled Literature Review Software?

1. 1

   Configure: Customize workflows and AI settings to match your research needs.

2. 2

   Automate Screening: Utilize AI classifiers and reranking to prioritize relevant references.

3. 3

   Extract Data: Employ AI-enabled forms and human-in-the-loop validation for efficient data extraction.

4. 4

   Reuse Evidence: Leverage centralized data to prevent rework and ensure consistency.

5. 5

   Integrate Data: Connect digital libraries and BI tools for comprehensive analysis.

6. 6

   Report Findings: Utilize the customizable reporting engine for insightful analysis and sharing.

7. 7

   Manage Evidence: Maintain a centralized, auditable repository of literature evidence.

DistillerSR: AI-Enabled Literature Review Software's Use Cases

• Automated Literature Reviews
• Evidence Management
• Regulatory Submissions
• Post-Market Surveillance
• Cost-Effectiveness Analysis
• Clinical Guideline Development
• Research Acceleration
• Data Extraction
• Evidence Synthesis

FAQ from DistillerSR: AI-Enabled Literature Review Software

• What is DistillerSR?

  DistillerSR is an AI-enabled evidence management platform that automates the conduct and management of literature-based research and surveillance, helping organizations deliver better research faster.

• How does DistillerSR automate literature reviews?

  DistillerSR uses AI-driven automation throughout the literature review lifecycle, including intelligent screening, AI-enabled data extraction, and AI reranking to reduce manual effort and speed up the process.

• What are the benefits of using DistillerSR?

  Benefits include reduced costs, faster research delivery, elimination of repetitive tasks, improved accuracy, evidence reuse, and enhanced collaboration through a centralized evidence platform.

• How does DistillerSR ensure data security and copyright compliance with AI?

  DistillerSR hosts AI models within a secure ecosystem, ensures data isolation, provides customer-led processing controls, does not train AI on customer references, and uses aggressive grounding and attribution for transparency.

• Can DistillerSR integrate with other data sources?

  Yes, DistillerSR integrates directly with corporate digital libraries and business intelligence tools like Power BI and Tableau, and supports third-party integrations for evidence enrichment.

• What is 'evidence management' according to DistillerSR?

  Evidence management is the centralized collection and curation of information extracted from scientific literature, which can be mined and shared to improve consistency, collaboration, and reduce operational risks and costs.

• What is the relationship between literature review software and an evidence management platform?

  Literature review software, like DistillerSR, acts as the workflow engine and centralized repository at the core of an evidence management platform, ingesting literature and providing a configurable workflow for evaluation and storage.

• What is 'literature evidence'?

  Literature evidence is defined as appraised, validated, and standardized facts extracted from scientific literature during an evidence synthesis project, enriched with an audit trail for transparency and traceability.

• How does DistillerSR handle human oversight with AI?

  Every critical AI-extracted data element requires human validation (accept/reject) to ensure regulatory compliance, maintaining human oversight throughout the AI-assisted process.

• What are DistillerSR's AI capabilities for systematic reviews?

  DistillerSR offers AI Rerank, AI Classifiers, AI Error Checking, Smart Evidence Extraction (SEE) with purpose-built GenAI, and Agentic AI for drafting reports and synthesizing insights, all while maintaining regulatory compliance.

• Who trusts DistillerSR?

  DistillerSR is trusted by over 250 companies globally, including 80% of the top pharmaceutical and medical device companies, as well as academic institutions and public sector organizations.

• Does DistillerSR use customer data to train its AI models?

  No, DistillerSR does not use customer-uploaded references or extracted data to train or refine its AI models. Your intellectual property remains solely yours.