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Systematic Literature Review Services and Software | ICF

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Systematic Literature Review Services and Software | ICF Skip to main content Back Industries Powerful solutions that drive innovation and deliver results. Our Expertise Utilities Disaster management Transportation Aviation Federal health Energy Environmental services and infrastructure Climate resilience Community and economic development U.S. federal State and local government UK government European government Client stories See how we help fast-changing industries succeed. Back Capabilities Applying technology and expertise to deliver bold, lasting impact. Technology Digital modernization Artificial intelligence Data and analytics Experience and design Cloud Cybersecurity Partner ecosystem Solutions Program implementation Strategy and innovation Workforce and change management Policy and regulatory Grants management Strategic communications ICF Fathom Explore our suite of AI solutions and services Strategic agency for engagement and transformation. Back Insights Stay ahead with research, insights, and success stories developed by industry experts. Trending topics Using AI against fraud, waste, and abuse AI innovation Grid modernization Workforce development Extreme weather resilience Latest thinking Articles Client stories News Reports Webinars Smart charts Top federal AI trends New findings for 2025 The impact of rapid demand growth Key recommendations for utilities Back About A leading global company turning data into insights and innovation into impact. About ICF News Leadership History Corporate Citizenship Ethics and compliance Data privacy Contracts Locations Europe and U.K. Learn about our work with governments, businesses, and organizations in Europe and the U.K. Need help or want to learn more?  Contact us Careers Investors Popular Searches Federal IT modernization Artificial intelligence Disaster mitigation Energy efficiency Federal health Featured Learn more Federal IT modernization services Research and evaluation Systematic literature review solutions Our experts combine experience with technology to streamline the end-to-end literature review process.

Talk to an expert Systematic literature reviews can be herculean undertakings. That’s why we built Litstream. This tool allows researchers to collaborate on literature screening and data extraction through an efficient platform that tracks the literature process meticulously and across multiple team members working simultaneously. Managers can design fit-for-purpose review steps, make assignments, and monitor progress at a granular level. Litstream helps ensure transparent documentation of the review process while prioritizing the most relevant literature to your team of subject matter experts.

End-to-end support, from experts who have seen it all We don’t just offer a product—we offer a partnership. Our team of systematic literature review experts is tailor-made to help you navigate the comprehensive review process, from start to finish. We have decades of hands-on experience across research spheres, developing search strategies, establishing criteria, assessing study quality, supporting data integration and data visualization, performing risk analyses, and helping make policy recommendations for regulators.

Making literature review efficient and painless Whether you want to thematically isolate existing trends or sift through mountains of evidence to foreground research questions, Litstream makes achieving your goals fast and painless. Our literature review tool automates the flow of studies from one step to the next in your review process to ensure that the record of decision is clearly traceable. We help our clients develop interoperability amongst data systems by building automated pipelines that migrate data seamlessly from platform to platform.

One-of-a-kind understanding of the literature review process We offer a toolbox of four prioritization approaches (topic extraction, supervised clustering, machine learning and active machine learning) to help you find the literature you should focus on while filtering out the noise or off-topic literature that can consume valuable time. In a simulated study, we estimated that over 1,000 project hours could have been saved by using our built- in supervised clustering approach to prioritize screening efforts across six EPA Integrated Risk Information System risk assessments. Our staff is well versed in the application of our prioritization approaches, working with clients to use the best approaches in each situation to deliver results. Since we designed these tools while doing the work, our team has a one-of-a-kind understanding of the ins and outs of the literature review process.

Complete transparency, unparalleled accuracy When it comes to systematic literature review, transparency is paramount. Organizations should follow a process that is exhaustively documented and easily reproducible. Work must hold up to public scrutiny and stringent outside review. Beyond that, our fully operationalized machine learning tools have outcompeted costly and time-intensive custom algorithms in study after independent study. From documenting the literature search strategy, to describing prioritization methods, and following each study through the systematic review steps, Litstream is a holistic solution to manage your studies and extracted data with reporting and visualization features to help you build all the products you need to support your assessment. Our team of expert practitioners can help you utilize systematic review tools effectively and integrate them with your organizational resources to create a unique solution that is tailored to your needs.

Litstream’s literature review tool suite

Litstream’s tool suite covers literature search, prioritization, text screening, inventory, data extraction and analysis, study quality assessments, and visualization. These tools (1) eliminate duplicates and redundancies early on in the process, freeing up attention and human capital; (2) narrow the body of literature that will be reviewed in the downstream parts of the systematic review process; and (3) prioritize literature that best answers the research questions such that subject matter experts can dive into the evidence and speed up the rate of discovery.

Arrow_leftblack Arrow_rightblack Flexible data extraction Build an interactive online worksheet for data extraction. Specify data fields, data hierarchy, data types, and display format. The forms can accommodate nested data, adapt fields based on upstream responses, and auto-calculate fields based on logic and equations. Document tagging Design document tagging categories and keyword highlights to be used in the title or abstract and full-texting screening steps. Assign screening tasks based on the availability and expertise of screeners. Perform multiple levels of review and move studies into downstream steps based on final screening results.

Keyword analysis and document clustering Cluster studies by common words or text similarities. Users can create keyword hierarchies to review document clusters with the most relevant keywords or use seed references to identify clusters containing high proportions of relevant literature to target manual screening efforts.

Data reporting and visualization Built-in data visualizations and reports allow you to explore data in real-time. Create interactive bar charts based on screening tags or drill down with heat maps based on extracted fields, without having to export data to an outside platform. Litstream’s Blueprint step feature allows you to merge data from multiple steps (pilot, initial and QC efforts) into one place to report your final data without having to compile multiple reports. Document prioritization and multi-track approach Prioritize documents for review using multiple approaches, including active machine learning, machine learning, unsupervised clustering, and supervised clustering. Analyze titles and abstracts to find the most relevant studies and reduce the amount of time spent reviewing off-topic literature.

In-app collaboration and workflow Litstream enables scientists and researchers to work collaboratively on literature screening, data extraction, and study quality evaluations. It automatically tracks documents throughout the literature review process and facilitates team members working simultaneously. It also allows for staffing assignments, with visuals that convey work progress as it occurs.

A range of applications

Our literature review tools have been used to great effect by state and federal agencies, nonprofits, watchdogs and private researchers. Over successive decades we have supported major aviation and transportation projects, large-scale psychological and environmental impact surveys, and exhaustive scientific and medical analyses, always with an eye toward versatility and interoperability. We ensure that, regardless of scale, our literature review tool is exactly what the project requires.

Environmental health Policy and economic analysis Public health Regulatory decision-making Risk analysis Social science Transportation Our services Searching and text analytics expertise Automated data collection and reference deduplication Sorting literature based on relevance Building seed sets and guided machine learning Streamlined literature characterization based on keywords and complex heuristics Automated full text highlighting using keywords and named entity recognition approaches Problem formulation and end-to-end collaboration Collaborative problem formulation based on clients and stakeholders Training support for collaborators Decades of hands-on systematic review expertise End-to-end support ensuring ease of product use, and meeting project goals

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