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About DistillerSR

DistillerSR is a systematic review software from DistillerSR that supports the process of managing and analyzing literature for research. It combines features like automated data extraction, collaboration tools, and advanced search capabilities so users can efficiently conduct systematic reviews. The software allows teams to work together in real-time, ensuring that data is processed accurately and collaboratively. Additionally, it provides extensive reporting features to help users visualize their findings and manage large volumes of literature effectively. Key capabilities: automated data extraction real-time collaboration comprehensive reporting advanced search functionality custom workflow management Best for: researchers and academic institutions that need to perform systematic reviews and manage complex literature searches.

DistillerSR Details

Vendor
DistillerSR
Year Launched
2008
Location
505 March Road, Suite 450 – MAP Ottawa, Ontario, Canada, K2K 3A4
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, French, German, Spanish, Dutch
Users
Systematic reviewers, Regulatory affairs specialists, Clinical researchers, Medical evidence analysts, Data managers, Academic researchers, Evidence synthesis teams
Industries Served
Academic & Students, Medical Devices, Pharmaceuticals, Public Sector
Tags
Literature review, AI-enabled review, evidence management, systematic review, research automation, regulatory compliance

DistillerSR's In-App Market Place

Does DistillerSR have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), CAD (C$), AUD (A$), JPY (¥), CHF (Fr), SEK (kr), NOK (kr), DKK (kr), INR (₹), CNY (¥), KRW (₩)

Pros & Cons

  • Accelerates research timelines
  • Fully customizable workflows
  • Ensures regulatory compliance and audit trail
  • Supports large reference libraries effortlessly
  • Integrates AI for automation and efficiency
  • High initial setup complexity for some users
  • Might require training for full feature utilization
  • Cost might be limiting for small institutions
  • Primarily enterprise-focused, less suitable for solo users
  • Dependent on internet stability for cloud features

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