PICO Portal
by PICO Portal
Literature Review Platform
PICO Portal’s literature review platform offers state-of-the-art artificial intelligence (AI) solutions to streamline systematic reviews, scoping reviews, evidence mapping, and other types of evidence syntheses. Its advanced technology and easy-to-use interface enable researchers to perform rapid evidence generation while upholding strict industry standards.
PICO Portal optimizes the literature review experience by making the research process more efficient, precise, and insightful. The end-to-end solution supports citation screening, full-text review, risk of bias/quality assessment, and data extraction, with customers reaping an average 50% return on investment compared with traditional literature review tools (reference).
A beacon of innovation amidst existing evidence synthesis technology, which offer limited automation and customizability, PICO Portal excels in automation, project management, and usability, bridging a significant gap in the evidence synthesis domain.
A selection of key features include:
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Citation upload with over 20 supported file formats
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Automated citation deduplication
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Custom keywords, tags, exclusion reasons, and extraction fields
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Forward and backward snowball reports to expand citation search
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A suite of AI features including:
- Citation sorting by relevance during title/abstract screening
- PICOS and custom keyword highlights during title/abstract screening o Automated PDF uploading for full-text review
- PICO Portal Ask AI (large language model processing engine) for individual queries related to projects and articles
- AI-assisted Risk of Bias and Data Extraction with supporting full-text PDF highlights for streamlined verification
- PRISMA 2020 summary generation
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Detailed dashboards to monitor project progress and user analytics
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Dedicated product support including training and technical assistance
PICO Portal is designed to reduce the time spent by research teams on mundane
tasks and reallocate their resources to the areas of the review that require cognitive
skills and domain expertise.
PICO Portal upholds a responsible, transparent, and measured approach in its implementation of AI.
Responsible AI development considerations include:
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Rolling out features that enhance the research outcomes without negative impact
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Ensuring users remain in control of all data input and can verify AI accuracy
by triangulating responses
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Identifying tasks where tolerance for expected AI errors is acceptable