Fact Sheet

Take Control of Your Evidence – Better Reviews

Confronting a growing volume of research data, health economics and outcomes research (HEOR) scientists are under increased pressure to produce higher quality results faster at lower costs.

With DistillerSR, HEOR scientists can conduct transparent and reproducible systematic literature reviews faster and more accurately by leveraging AI-powered automation and intelligent workflows.

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Do More Reviews Faster and Smarter

DistillerSR automates many of the traditional review tasks so you can produce work quickly, accurately, and cost-effectively.

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Always Up-To-Date Living Reviews

Reviews are automatically updated with new references as soon as they become available by using auto-alerts from data providers, such as PubMed, EBSCO, or Ovid. Time spent re-running searches are eliminated and living reviews are always up-to-date with new references.

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Easy-to-Use, Cost-Effective Full-Text Retrieval

Full-text documents can be automatically retrieved and added to systematic reviews.

Review teams can leverage their Article Galaxy and RightFind subscriptions to order documents from within DistillerSR for the lowest possible cost.

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Instant Access to Source Materials

DistillerSR is connected directly to source materials stored in your organizations’ e-Library and through DOI.org. This eliminates the tedious task of searching for and uploading full-text documents.

“Previous methods were cumbersome and time-consuming. DistillerSR made us more confident in our accuracy, and it made our quality control simpler.”
Kimberly Ruiz, Associate Director, Xcenda

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Artificial Intelligence (AI) Reduces Screening Times and Improves Review Quality

By enabling reviewers to sift through large volumes of references with the help of artificial intelligence, DistillerSR allows you to find what you need quickly.

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Duplicate Detection & Quarantine

Using powerful duplicate detection built within your workflow, DistillerSR easily identifies and removes duplicate records. The literature review software also automatically tracks their removal for standard reporting and preserves them for future reference and retrieval.

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Find Relevant References Faster

With the help of AI, DistillerSR allows you to find what you need quickly and easily sort through irrelevant materials. Its AI differentiates between relevant and irrelevant records, continuously reprioritizing the remaining, as-yet-unscreened records, and then presents them to reviewers based on the likelihood of relevance. On average, you can find most of your relevant references between 40–60 percent sooner than conventional screening. This allows you to start working on other stages of the review more quickly.

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Prevent Erroneous Exclusions

DistillerSR’s AI can also help you confirm that you haven’t accidentally excluded any references – it does this by double-checking your exclusions for errors, increasing your confidence in your screening decisions. Conflicts and disagreements between reviewers, meanwhile, are automatically identified and set aside for easy resolution.

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Take Control of Your Reviews – The Way You Want

DistillerSR lets you define your preferred workflows. This enables you to streamline and improve the quality of your reviews, follow best practices and methodologies, and reduce logistical overhead for local and global teams.

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Create & Reuse Templates That Fit Your Protocol

DistillerSR allows you to extract, appraise, and report data in a way that fits your review protocol. Furthermore, when you need to conduct similar research, you can instantly reuse your review process across multiple reviews by creating templates. These can be copied and modified as needed for other projects.

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Eliminate Time Wasted Data Cleaning

DistillerSR helps reduce human error by requiring data validation at the time of extraction, such as using pre-specifying acceptable ranges for numerical values. Configured to meet your requirements, DistillerSR’s in-form data validation lets your team spend less time and effort to acquire analysis-ready data.

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Easily Meet Global Standards

You can also easily follow globally recognized standards and compliance requirements. This includes auto-generating PRISMA flow diagrams, maintaining strict version control, and producing fully transparent and audit-ready results.

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A Single Source of Trusted Evidence

DistillerSR facilitates a transparent process that tracks all project and account activity. In addition, it provides insights for the intelligent and automated management of your literature review processes.

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Fully Transparent, Secure, & Audit Ready

DistillerSR allows project managers to create fully defensible, transparent, audit-ready, and reproducible reviews. The literature review software tracks all review activity and makes it easy to view the provenance of every cell of data. You can restrict access and ensure your data meets your organization’s security standards through Single Sign-On and user permissions.

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Simplified, Real-Time Oversight

Distributed teams can collaborate more effectively, with standard processes in place and reduced management overhead. Reviewers are automatically assigned and notified of new work – regardless of the number of projects they are working on. Furthermore, all of their incomplete work is accessible from one central location. Project managers can view real-time user and project metrics to gain insight into the team’s workload, participation, quality, and performance.

Regardless of the subject matter, the size of your team, or how many reviews you have on the go, DistillerSR gives you the tools and flexibility you need to create a reliable, transparent, and fully reproducible process.

With DistillerSR, HEOR professionals can confidently set up and monitor their literature review projects. In an industry where speed and accuracy are equally important, HEOR teams require tools to conduct reviews efficiently without error. Through DistillerSR’s AI and intelligent workflow automation, you save hours on manual administrative tasks and can focus more completely on your reviews’ evidence.

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Triangle HEOR HTA Vertical