iatroX provides an AI Clinical Decision Support tool designed to assist medical professionals with complex cases. The platform also offers comprehensive, global medical question banks tailored for major licensing examinations like USMLE, UKMLA, and AMC. This integrated system supports both active clinical practice and rigorous medical education preparation.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare professionals face an increasing volume of clinical information and guidelines, leading to cognitive overload and time pressure during decision-making. This fragmentation of knowledge can hinder efficient access to evidence-based practices and impact patient care.
Solution
iatroX provides an AI-driven platform designed to streamline access to UK clinical guidelines and support professional development. The platform offers an "Ask iatroX" feature for rapid, guideline-based answers to clinical queries, a "Brainstorm" tool for structured case analysis, and a quiz module for knowledge assessment. It also integrates a Continuing Professional Development (CPD) tracker that utilizes AI-assisted reflection prompts to help users log and report learning activities aligned with professional standards. The system is built with advanced algorithmic AI pipelines and prompt engineering to contextualize information from national guidelines and peer-reviewed research.
Target Audience
The primary users are UK-based healthcare professionals, including doctors, medical students, and other health professionals, who require efficient access to clinical guidelines and support for their professional development.
Features
- AI-powered "Ask iatroX" module for direct, evidence-based answers to clinical questions, referencing UK clinical guidelines.
- "Brainstorm" functionality to guide users through clinical scenarios, covering history, examination, and management.
- Question bank with MCQs, adaptive learning, and spaced repetition for exam preparation (e.g., UKMLA, MRCGP).
- CPD portfolio feature with AI-driven reflection prompts to facilitate logging and reporting of learning activities.
- Automated generation of PDF reports for CPD portfolios, mapped to GMC domains.
- Integration of national guidelines and publicly available peer-reviewed research for comprehensive answers.
- Proprietary algorithmic approach for confidence assessment and autonomous triangulation of information sources.
- Sophisticated guardrails including content filters, multi-pass checks, and user feedback loops to ensure responsible AI output.
- Voice-to-text and text-to-speech capabilities for enhanced accessibility.
- UKCA-marked and MHRA-registered Class I medical device.