Medontix offers an AI‑driven platform that integrates with any electronic medical record to automate clinical trial patient screening. It uses natural‑language processing and computer‑vision to extract data from notes, labs, and imaging, providing real‑time alerts and a unified dashboard for coordinators and investigators, along with e‑Consent and secure data handling.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial enrollment is hampered by time‑consuming manual screening, fragmented data across EMRs, and limited tools for coordinators to identify eligible patients in real time.
Solution
Medontix provides an AI‑driven software platform that integrates directly with any electronic medical record to automate patient screening and streamline trial workflow. Its computer‑vision and natural‑language processing models extract relevant clinical, laboratory, and imaging data, then generate real‑time alerts for potential trial candidates. Coordinators and investigators access a unified dashboard where trial documents, eligibility criteria, and training compliance are centrally managed. The platform also includes e‑Consent capabilities with built‑in eSignature and integration options for DocuSign and REDCap, supporting both on‑site and remote patient consent. By structuring data through medical ontologies and securing it with AES‑256 encryption, Medontix ensures accurate, compliant, and efficient trial enrollment.
Target Audience
Primary users are clinical research coordinators, investigators, and hospital research departments that need to identify and enroll patients into clinical trials efficiently.
Features
- AI-powered screening that parses EMR notes, labs, and imaging to flag eligible patients instantly
- Real‑time alerts embedded within the health record interface for immediate researcher notification
- Role‑based dashboards for coordinators and investigators with trial documents, status tracking, and training compliance
- Auto‑populated screening forms that can be edited before submission to trial logs
- e‑Consent module with proprietary eSignature, plus integrations for DocuSign and REDCap, enabling remote consent
- Vendor‑agnostic EMR integration using standard APIs, eliminating lengthy installation projects
- Data security with AES‑256 encryption and multiple additional protection layers