Who should use the Synthesize information workflow?
Teams or solo builders working on science & healthcare tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Science & Healthcare
Practical execution plan for synthesize information with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A finalized, reviewed, and archived synthesis product with documented provenance.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A finalized, reviewed, and archived synthesis product with documented provenance.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Elicit to a clear, documented synthesis plan with scope, criteria, and target output defined. Then, you pass the output to Rayyan to a curated, deduplicated set of high-quality full-text articles with quality scores, ready for extraction. Then, you pass the output to Elicit to a structured, validated dataset of extracted evidence ready for analysis and synthesis. Then, you pass the output to MAXQDA to a synthesized evidence summary with identified patterns, effect estimates, and knowledge gaps. Then, you pass the output to Tableau AI to a polished, standards-compliant deliverable (report, annotated dataset, or clinical note) ready for review or publication. Finally, Dropbox Business is used to a finalized, reviewed, and archived synthesis product with documented provenance.
Define Synthesis Scope and Question
A clear, documented synthesis plan with scope, criteria, and target output defined.
Retrieve and Filter Scientific Literature
A curated, deduplicated set of high-quality full-text articles with quality scores, ready for extraction.
Extract and Structure Key Data Points
A structured, validated dataset of extracted evidence ready for analysis and synthesis.
Analyze and Synthesize Findings
A synthesized evidence summary with identified patterns, effect estimates, and knowledge gaps.
Generate Deliverable Output
A polished, standards-compliant deliverable (report, annotated dataset, or clinical note) ready for review or publication.
Review and Iterate
A finalized, reviewed, and archived synthesis product with documented provenance.
Clarify the specific scientific question or clinical decision that the synthesis will address. Identify key concepts, target literature domains, and desired output format (e.g., systematic review summary, biomarker report). This prevents aimless collection and ensures relevance.
Why Elicit: Elicit directly supports research question brainstorming and automated literature review, which aligns with defining a synthesis scope and PICO framework.
Execute a systematic search across databases (PubMed, Scopus, preprint servers) using the defined criteria. Use automated deduplication and relevance scoring to filter down to the most pertinent studies, ensuring high-quality input for synthesis.
Why Rayyan: Rayyan is a dedicated systematic review screening tool with deduplication and abstract screening capabilities, directly matching the need for a reference manager and screening tool.
Systematically extract relevant data (study design, sample size, outcomes, biomarkers, imaging annotations) from each selected article into a structured table or database. Use standardized fields to enable cross-study comparison and quantitative synthesis.
Why Elicit: Elicit provides structured data extraction from PDFs, which directly matches the need for extracting and structuring key data points from literature.
Apply qualitative or quantitative methods (thematic analysis, meta-analysis, or biomarker correlation) to identify patterns, contradictions, and gaps across the extracted data. Generate summary statistics, forest plots, or evidence maps as appropriate.
Why MAXQDA: MAXQDA supports thematic coding and sentiment analysis, directly addressing the need for qualitative analysis and synthesis of findings.
Transform the synthesized findings into the agreed-upon output format—clinical documentation, annotated image dataset, biomarker report, or systematic review manuscript. Ensure compliance with reporting standards (PRISMA, STARD) and integrate visual aids (tables, figures).
Why Tableau AI: Tableau AI offers data visualization and predictive modeling, directly matching the need for generating visual deliverables and reports.
Conduct an internal quality check for accuracy, completeness, and clarity. Incorporate feedback from domain experts or stakeholders, and update the synthesis or annotations as needed. Finalize version control and archive source data.
Why Dropbox Business: Dropbox Business offers cross-platform file synchronization and semantic document querying, supporting collaboration and version control for iterative review.
§ Before you start
Teams or solo builders working on science & healthcare tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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