Configurable review protocols
Customize projects, workflows and forms, then replicate them with templates. Reusable answer lists, input validation and form calculations help standardize data collection.
Manage literature reviews with configurable screening and extraction forms, AI-assisted evidence suggestions, and reports that retain reviewer decisions.
DistillerSR manages literature-based evidence reviews through configurable projects, workflows and forms. Teams screen references, extract information from scientific text and tables, standardize answers and produce reports such as PRISMA flow diagrams. Audit logs and version control record the review process.
AI can prioritize references, classify studies and suggest extracted evidence linked to its source. Critical AI-extracted data requires human acceptance or rejection. The workflow supports research and regulatory evidence preparation; it does not replace reviewers' judgment or establish that a scientific conclusion is correct.
Customize projects, workflows and forms, then replicate them with templates. Reusable answer lists, input validation and form calculations help standardize data collection.
AI Re-Rank reprioritizes unscreened references from the team's inclusion and exclusion decisions. Error checking flags excluded records that resemble the project's inclusion patterns. For academic subscriptions, AI Classifiers label references and are included only in the Institutional plan.
Smart Evidence Extraction suggests answers from scientific text and tables. Suggested data links back to its source, and reviewers control acceptance of critical extracted elements.
Create PRISMA flow diagrams, activity reports and customized filtered outputs. Export review data for further analysis and use the audit trail to track reviewer decisions and timing.
Coordinate reference screening and structured extraction around a research question, retaining the source context and review history behind the collected evidence.
Organize literature evidence for medical-device or pharmaceutical review workflows with standardized forms, traceable decisions and human validation of critical AI suggestions.
Reuse project and form templates across reviews so different teams collect answers in a consistent structure and can produce comparable reports.
Teams work with literature references, full-text documents and review questions. Screening and extraction forms turn those inputs into structured evidence, review histories, filtered datasets and reports, including PRISMA flow diagrams.
AI can prioritize, label and extract information, but critical AI-extracted data elements require human validation through acceptance or rejection. Source links support checking the suggestions; they do not guarantee that an answer or research conclusion is correct.
Student costs $19.95 per month for three users and one project. It is for actively enrolled post-secondary students using the software for unpaid curriculum work. A collaborating supervisor needs a Faculty, Departmental or Institutional account. The former Student Free option is no longer available.
Corporate and government teams start with a pricing enquiry to scope their review workflow and required modules. Departmental and Institutional academic packages use tailored quotes. Configuration and training services are also available.
AI processing controls let customers exclude specific references according to their publisher licensing terms. Access to a document does not remove those processing conditions; select the references permitted for the project's AI workflow.
Os dados de tráfego são apenas para referência.
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