The operating system that unifies AI-enabled devices, foundation models and physician expertise into one adaptive clinical brain
Explore the VisionAn exponential surge of AI tools is coming - how do we prevent chaos?
Hospitals will face dozens of incompatible AI tools, devices and models - each with separate interfaces and workflows.
Constant retraining needed as new AI tools are adopted. Doctors can't relearn systems every 6 months.
Doctors' experience and intuition isn't captured. AI pushes generic solutions that ignore local expertise.
ACLIS isn't another AI tool - it's the platform that brings order to the chaos through two revolutionary innovations:
Manage all AI tools, devices and models through one unified interface
Learns each physician's unique context and preferences to personalize AI
ACLIS
One interface to manage all your clinical AI tools and devices
New AI devices connect seamlessly through standardized interfaces. Their native UIs remain accessible while integrating with the ACLIS ecosystem.
A single clinical cockpit gives access to all connected tools without juggling multiple logins or interfaces.
Streamline security, compliance and deployment for all AI assets from one control plane.
Supporting all major clinical AI formats
The adaptive core that learns and aligns with each physician's unique context
Cardiology
Confidence Threshold: Require >92% confidence for ECG interpretation alerts
Clinical Heuristic: South Asian patients show higher CVD risk at lower LDL levels
Note: Prefer GE ultrasound device with these settings for obese patients
Learns each doctor's preferences, trusted tools, clinical heuristics, and local population norms.
Uses an on-premise Copilot Trainer to align models with hospital-specific data without exposing sensitive information.
Automatically builds personalized dashboards based on specialty, case load, and personal preferences.
How ACLIS transforms clinical workflows with adaptive intelligence
John D., 68M - History of CAD, presenting with chest pain
Consider cardiac catheterization based on patient history and latest guidelines
The dashboard dynamically adjusts based on specialty, patient condition, and doctor preferences