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Saving lives with data by providing regulatory-grade safety and effectiveness data.

Closing the medication safety gap with AI-powered bedside verification.

MedEye, developed by Mint Solutions, is an enterprise-grade medication safety platform that utilizes advanced computer vision and neural networks to stop medication errors at the point of administration. By 2026, MedEye has positioned itself as the gold standard for 'The Second Nurse' initiative, automating the high-risk manual double-checking process. The system consists of a bedside hardware scanner integrated with an AI software layer that identifies pills, capsules, and even liquids or syringes by comparing their physical characteristics against a massive, proprietary pharmaceutical database. Its technical architecture is built on a high-availability infrastructure that integrates directly with Hospital Information Systems (HIS) and Electronic Medical Records (EMR) via HL7 and FHIR protocols. MedEye not only verifies that the right patient receives the right medication but also automates the documentation process, significantly reducing the administrative burden on nursing staff. In the 2026 landscape, MedEye focuses on predictive analytics, identifying potential medication reconciliation issues before they occur at the bedside, and providing hospital administrators with deep-dive analytics into medication administration efficiency and safety compliance.
MedEye, developed by Mint Solutions, is an enterprise-grade medication safety platform that utilizes advanced computer vision and neural networks to stop medication errors at the point of administration.
Explore all tools that specialize in syringe volume verification. This domain focus ensures MedEye delivers optimized results for this specific requirement.
Uses deep learning computer vision to identify and verify multiple loose medications simultaneously in a single scan tray.
AI-assisted measurement of liquid levels in syringes compared against ordered dosages in the EMR.
Bi-directional data flow that pulls orders and pushes administration logs instantly to the patient record.
Automated reporting of misidentified or unknown pills back to the pharmacy for library updates.
Digital documentation and visual verification of narcotic waste disposal with dual-witness workflows.
Proprietary database that learns variations in pill coatings and shapes across different manufacturers.
Physical security layer that only unlocks specific medication drawers upon visual confirmation of the medication.
Initial site survey and hardware requirement analysis.
Integration setup with hospital's EMR (Epic, Cerner, etc.) via HL7.
Configuration of the secure local network for bedside device communication.
Upload of the hospital-specific formulary into the MedEye AI engine.
Hardware installation of MedEye bedside scanners and medication drawers.
Role-based access control (RBAC) setup for nursing and pharmacy staff.
Pharmacist-led validation of the AI drug library against local stock.
Train-the-trainer clinical workshops for department leads.
Shadow-mode pilot phase to verify EMR write-back accuracy.
Hospital-wide go-live with 24/7 technical support monitoring.
All Set
Ready to go
Verified feedback from other users.
"Users highly value the reduction in stress during med rounds, though some note the hardware footprint can be tight in older hospital rooms."
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