Medical Research & Pharma
Literature Review & Meta-Analysis
Synthesize thousands of papers in hours
8
VAL
7
FIT
7
EASE
6
ODOO
8
GC
3
RISK
7.2
Score
Why This Workflow Matters
The business case for implementing this workflow.
Systematic literature reviews take 6-18 months and cost $50,000-$150,000 in researcher time. Screening thousands of abstracts is tedious and inconsistent. Data extraction is error-prone. Many grant proposals and clinical guidelines suffer from outdated or incomplete literature reviews because researchers simply don't have time to do them properly.
The Bigger Puzzle
How AI + Odoo creates something greater than the sum of its parts.
AI + Odoo Synergy
Literature search results managed in Knowledge base → screening tracked as Project tasks → data extraction populates Spreadsheet → AI generates narrative synthesis in Documents → PRISMA flow diagram auto-created → completed review feeds into grant proposal background section → identified gaps inform new research hypotheses → review updates triggered when new relevant publications appear.
Odoo Apps Activated
Documents
Project
Knowledge
Spreadsheet
Current Alternatives & Why They Fall Short
The existing solutions and their limitations.
Covidence
Web-based systematic review management platform used by academic institutions for screening, extraction, and quality assessment of research literature.
$240-$600/year individual — $5,000-$15,000/year institutional
Limitations
- No AI content generation — manual screening and extraction
- No narrative synthesis generation
- Separate system from research project management
- Export to Word for writing — no integrated document production
Why RebusAI is Better
AI-powered screening, extraction, AND narrative synthesis — not just workflow management. The literature review lives in the same platform as your grant proposals, publications, and research projects.
Research Assistants / Manual Process
Traditional approach: research assistants screen abstracts, extract data into spreadsheets, and senior researchers write the narrative synthesis.
$30,000-$80,000 in labor per systematic review — 6-18 months timeline
Limitations
- Extremely time-consuming and expensive
- Screening consistency depends on individual judgment
- Data extraction errors compound through analysis
- Results are stale by the time review is published
Why RebusAI is Better
AI accelerates the entire review process from 12 months to 2-4 weeks, with consistent screening criteria, automated data extraction, and instant narrative generation. Research assistants become reviewers instead of screeners.
Rayyan / Abstract Screener Tools
AI-assisted abstract screening tools that help prioritize which papers to include in systematic reviews.
Free-$20/month for basic features
Limitations
- Screening assistance only — no extraction or synthesis
- Limited to abstract-level analysis
- No data extraction or meta-analysis capabilities
- No report generation
Why RebusAI is Better
End-to-end review workflow: search, screen, extract, analyze, AND synthesize — not just screening. AI generates the complete narrative review connected to your Odoo research ecosystem.
Implementation Approach
How to bring this workflow to life.
Extends the research workflow pattern with literature-specific screening and extraction pipelines. 3-4 week implementation leveraging ai.content.workflow.mixin for search → screen → extract → synthesize pipeline.
Ready to Build This Workflow?
Turn Literature Review & Meta-Analysis into a competitive advantage with RebusAI + Odoo.
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