AI-Powered Clinical Research Platform
Lumono.ai
Enabling healthcare professionals to analyze public healthcare datasets without technical expertise.
Book a Case WalkthroughUS medical professionals need published research for career advancement, but most lack the technical skills to analyze large healthcare datasets. Medical students and early-career doctors face an even bigger challenge—producing publishable research while managing clinical duties without technical support.
The Challenge
Healthcare professionals with critical medical insights were unable to conduct data-driven research due to technical barriers.
- Medical professionals lack programming and SQL skills needed for dataset analysis
- Research timelines stretched to months, conflicting with clinical duties
- No access to statistical software expertise or dedicated technical support
- Difficulty meeting academic publication requirements for career advancement
Our Solution
Softblues Solutions built Lumono.ai, an AI-powered platform that lets healthcare professionals conduct medical research using natural language. The system analyzes complex public healthcare datasets and generates publication-ready statistical analyses and reports—no programming knowledge required.
- Natural language interface for querying complex healthcare datasets
- Automated statistical analysis with publication-ready outputs
- AI-generated research questions based on selected variables
- Transparent, reproducible methodologies meeting peer-review standards
Built with Enterprise-Grade Technology
Goals and Objectives
The client came to us with clear objectives to transform their operations.
Enable Research Without Programming
Allow academic medical research without requiring coding or SQL skills
Accelerate Research Timeline
Cut the research timeline from months to weeks
Intuitive Dataset Access
Provide easy access to large public healthcare datasets through natural language
Publication-Ready Outputs
Generate statistically rigorous, reproducible analyses for academic publication
Automate Analysis Pipeline
Automate data extraction, statistical computation, and visualization
Transparent Methodology
Create transparent, auditable research methodologies for peer review
Support Medical Students
Help medical students meet research publication requirements alongside clinical duties
See the Platform in Action
From intake to completion, explore how the solution transforms operations.
Database Exploration
Browse and categorize available dataset variables across Demographics, Dietary, Examination, Laboratory, and Questionnaire categories. Review descriptions and mark relevant variables for your study.
Research Question Generation
Define your study focus based on selected variables. Generate research questions automatically using AI or input your own—accommodating both guided and independent research approaches.
Select Research Question
Review approximately 10 AI-generated research questions from your selected variables, each exploring different relationships between population, exposure, and outcome.
Data Preparation
After defining the research question, the system categorizes variables into population, exposure, and outcome groups. Lumono assists in cleaning and validating data for consistency before analysis.
Primary Analyses
Initial statistical evaluation using descriptive and univariable analyses. View summary statistics, understand data characteristics, and reveal potential associations between variables.
How It All Works Together
Multi-Agent Orchestration System
Coordinates multiple AI agents working together to handle different aspects of the research workflow.
Natural Language Processing Layer
Enables researchers to interact with complex datasets using plain English queries instead of code.
Data Management Infrastructure
Handles connection to BigQuery and public healthcare datasets with proper data governance.
Statistical Computing Engine
Performs automated statistical analyses using Pandas, Scikit-learn, and other computation libraries.
Reporting and Visualization Module
Generates publication-ready charts, tables, and reports using Matplotlib and custom templates.
Quality Assurance Framework
Ensures reproducibility, transparency, and compliance with academic publication standards.
Value and Impact Delivered
Measurable improvements across every dimension of operations.
Research Timeline Reduction
Cut research timeline from months to weeks, helping medical professionals meet training requirements alongside clinical duties.
Technical Barriers Removed
Eliminated need for programming, SQL, or statistical software expertise—researchers focus on medical questions, not technical implementation.
Academic Standards Met
Publication-ready research with full transparency, reproducible code, and compliance with peer-review standards.
Access Democratized
Medical students and early-career professionals can now analyze large healthcare datasets without dedicated technical support.
Significant Time Savings
Automated data extraction, statistical analysis, and report generation—freeing time for clinical interpretation and medical insights.
Scalable Platform Built
Modular cloud architecture ready for additional datasets, statistical methods, and compliance frameworks including HIPAA.
Ready to Transform Your Healthcare Operations?
See how AI can help your organisation reduce errors, speed up processing, and improve outcomes. Let's discuss your specific challenges.
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