What inputs does the Medical Literature Review Assistant workflow use?

The workflow uses Clinical Question. Required fields and their expected formats are listed on this page.

What resources are included in the Medical Literature Review Assistant blueprint?

The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.

All blueprints Healthcare AI workflow blueprint

AI Medical Literature Review Assistant workflow blueprint

Search and synthesize findings from medical papers on a specific clinical question

See where this blueprint fits in the production workflow lifecycle

Healthcare

Literature Review

Research

RAG

Request access

Pattern

Dag

Agents

2

Functions

0

MCP servers

0

Inputs for the Medical Literature Review Assistant workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

Clinical Question
Required
Clinical question to research
Type: String

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "clinical_question": "<required string>"
}

How the Medical Literature Review Assistant AI workflow works

This healthcare blueprint uses a dag workflow with 2 agents, 0 functions, and 0 MCP servers. This catalog blueprint is available by request; contact GraphN to discuss access and customization for your use case.

Literature Searcher
Agent using Literature Searcher
Review Synthesizer
Agent using Review Synthesizer

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Literature Searcher

Search medical literature for papers relevant to the clinical question.

AI agent

Review Synthesizer

Synthesize findings into a structured literature review with evidence grading and clinical relevance assessment.

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Synthesizer

Frequently asked questions

What does the Medical Literature Review Assistant blueprint do?: Search and synthesize findings from medical papers on a specific clinical question
What inputs does the Medical Literature Review Assistant workflow use?: The workflow uses Clinical Question. Required fields and their expected formats are listed on this page.
What resources are included in the Medical Literature Review Assistant blueprint?: The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the Medical Literature Review Assistant blueprint in GraphN?: This blueprint is currently available by request. Contact GraphN to discuss access and customization for your use case.

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