HEOR & HTA Submissions
Enable faster market access and demonstrate long-term therapeutic value by automating the rigorous evidence synthesis required for HTA and HEOR submissions. Use DistillerSR AI-enabled workflows to rapidly screen and extract complex clinical and economic data, ensuring budget impact and cost-effectiveness models are validated by human experts for stringent HTA and payer requirements. Replace the transparency risks of static spreadsheets with a fully auditable record of every decision. Centralize and re-use your literature evidence to easily update assessments and adapt global evidence for local payer requirements without duplicating effort.
Pharmacovigilance
Automate the detection and triage of adverse events in literature without compromising precision. Implement AI-enabled workflows to automate the continuous surveillance of global literature, ensuring potential risks are prioritized for expert human validation. Eliminate the compliance blind spots of manual spreadsheets by maintaining an audit-ready trail of every inclusion and exclusion decision. Detect safety signals in real-time and minimizing regulatory risk by reporting them immediately, thanks to our platform’s integration with Embase. Seamlessly integrate validated evidence into your safety databases via DistillerSR’s API to ensure timely reporting to health authorities.
Regulatory Submissions
Streamline the synthesis of pre-clinical and clinical evidence for IND (Investigational New Drug Application), NDA (New Drug Application) and MAA (Marketing Authorization Application) submissions. Deploy AI-enabled workflows to rapidly identify and extract validated evidence to support regulatory submissions. Ensure every decision and data point are fully traceable and reproducible, significantly reducing the risk of regulatory queries and accelerating your path to approval. Synthesize literature once and reuse it across the company by building a centralized repository of validated evidence to reduce costly rework at subsequent stages of the approval process.
Scientific Communications
Accelerate the development of evidence-based publications and medical education materials through DistillerSR Agentic AI workflows by accessing a validated evidence repository. Reduce screening time by up to 70% by using AI-enabled workflows to identify evidence for manuscripts, key opinion leaders (KOL), abstracts and posters. Ensure comprehensive literature coverage, minimizing bias and ensuring that clinical claims are backed by the latest data. Leverage project management and multi-user workflows to enable medical writers and medical science liaisons to co-author and review evidence in a single, secure environment.
Highly Configurable Platform
While these examples are the most common, you can configure DistillerSR’s flexible architecture to support multiple regulatory and scientific discovery use cases. By moving beyond rigid point tools and manual spreadsheets, you gain a versatile platform with workflows tailored to your protocols. No matter the use case, you can create a centralized, standardized and validated source of evidence that can be shared across the enterprise.
“DistillerSR made our process faster, it made us more confident in our accuracy, and it made our quality control simpler. There would be a mutiny on our team if we decided to use something else.”
Kimberly Ruiz
Associate Director, Xcenda
Accelerate Submissions and Reduce Costs
Streamline your path to market approval by transforming labor-intensive manual reviews into automated AI-enabled workflows. Synthesize evidence faster for regulatory and reimbursement submissions, ensuring every data point is traceable, defensible, and scientifically rigorous.
- Eliminate evidence silos
- Leverage AI for speed and precision
- Shift focus to analysis
Conduct Quality Evidence Synthesis
Produce conclusive evidence to support regulatory submissions and scientific communications by replacing error-prone manual methods with a validated framework. Use DistillerSR’s configurable workflows to enforce protocol adherence, standardize conflict resolution and track every decision, ensuring your research withstands the highest levels of scrutiny.
- Enhance scientific rigor
- Reduce errors
- Maintain total transparency
Capture Once: Use Everywhere
Build a contextual, standardized evidence repository of literature evidence and references, validated by your internal experts that can be shared company wide. Evidence extracted for your HEOR analysis can inform your medical affairs and product teams, maximizing your investments in literature evidence across the company.
- Create a standardized data repository
- Reuse your data
- Share company wide
Trust an Enterprise Grade Platform
Use DistillerSR’s enterprise-grade systems, security and compliance to accelerate procurement, safeguard your data and ensure optimal service availability. Draw on our expert managed services and dedicated training and support personnel, to speed up time to first value and ensure your workflows leverage innovative capabilities as they are released.
- SOC 2 Type II, FDA 21 CFR Part 11, EU Annex 11, and NIST AI
- Tap into dedicated support, training and professional service teams
- Grown with a platform that supports more than half a million references per project
80% of the top pharmaceutical companies trust DistillerSR Software
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Pharmaceutical
ICON Q&A: How Can Automation Support Literature Surveillance for Pharmacovigilance? |
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Pharmaceutical
DistillerSR Enabled Maple Health Group to Improve Efficiency and Optimize Resource Allocation |
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Pharmaceutical
Conference Poster: Pfizer - AI-Powered Data Extraction for Streamlining Systematic Literature Review Delivery: a Covid-19 SLR Case Study |
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Resources
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Enterprise Evidence Management for Trusted Healthcare Decision Making |
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Pharmaceutical
Improve Cost-Effectiveness Analysis and Budget Impact Modeling Using Literature Review Automation… |
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Pharmaceutical
Information Overload Drives New Approaches to Managing HEOR Literature Reviews |











