Building Trust in AI White Paper
Building Trust in AI for Pharma Library and Medical Information Teams
Artificial intelligence can dramatically speed up literature search, summarization, and knowledge workflows for pharmaceutical library and medical information teams—but in regulated environments, accuracy and defensibility matter as much as efficiency. This white paper outlines practical requirements for trustworthy AI, including human-in-the-loop review, governance safeguards, and implementation steps that help teams adopt AI without compromising compliance or scientific rigor.
Build custom review workflows
- Implement multi-level screening for an in-depth literature review and screening
- Streamline the review process with your predefined inclusion and exclusion criteria
- Easily identify, manage, and review any conflicts in data entries when working with multiple reviewers, ensuring alignment and consistency
- Seamlessly integrate data from past reviews, ensuring continuity and time-saving efficiency
Depending on your department, industry, and goals, literature reviews vary greatly. ReadCube’s flexible and customizable Literature Review makes it simple for you to design the review that makes the most sense for your team.
Ask the right questions
- Design and manage systematic review forms and questions with ease
- Add specific search results automatically to your review workflow
- Create subforms, select specific fields, implement conditional hidden fields, and manage shared fields
- Build advanced, calculated fields for enhanced accuracy in data assessment
Design the literature review workflow that actually works for your team with advanced and flexible form builder options.
AI-enhanced review and analysis
- Make data-driven decisions faster with actionable AI insights that simplify complex reviews
- Automatically generate summaries, extract key data points, and create visual representations to support your analysis
- Leverage machine learning to identify patterns, gaps, and key insights across your literature set
Systematic reviews are faster, more organized, and enhanced by AI, allowing you to focus on generating insights, not managing paperwork.
Share your findings
- Utilize PRISMA for structured reporting and visualization, providing detailed flow diagrams in editable formats
- Customize exports for reporting - including citation metadata, form data, and custom metadata fields
- Maintain a detailed audit log of all imports, changes, and identified conflicts, ensuring transparency and traceability
What’s the point of a review if it’s difficult to share results? Simplified and automatic reporting make it easy to share what you’ve learned - so your organization can make better evidence-based decisions.
Manage your reviews.
- Seamlessly import data using common file types such as RIS, CSV, and nBib from third party databases
- Automatically flag duplicates upon import or manually flag duplicates as part of your review
- Admin dashboards show an overarching view of all projects, with the ability to assign form templates, construct new form templates, delegate reviewers to specific projects, and manage the status of ongoing projects
- Reviewer dashboards show only the projects and citations relevant to a reviewer’s role. Understand current project status, pinpoint potential conflicts, and seamlessly access reporting features for exclusion, inclusion, and PRISMA
Ensure your team is on track and making progress with advanced governance features.