Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
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.
Uses deep learning computer vision to identify and verify multiple loose medications simultaneously in a single scan tray.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
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.
Nurses are frequently interrupted, leading to administration errors during heavy workloads.
Registry Updated:2/7/2026
Nurse confirms and clicks 'Administer'.
EMR is automatically updated.
Extreme risk of dosing errors when calculating liquid medication for small children.
Manual logs for partial narcotic doses are often inaccurate and time-consuming.