System for research combining AI technologies and clinical expertise.
Key Features
User-friendly interface from both clinical and research perspectives with thorough review by physicians.
Compliant with the national guidelines of information security in hospital information systems.
Can be input from smartphones and tablets
Customizable user interface design
Optical Character Recognition (OCR) Function
By incorporating an AI-OCR optimized for medical devices (mechanical ventilators, hemodialysis, vital sign monitors, etc.), data can be extracted to EDC simply by taking a picture with a smartphone.
Automatic structuring Function with Generative AI
Automatically extracts and registers the registry information from the text information in the electronic medical records using generative AI.
Time Saving Effect
The time between manual entry and the OCR-assisted one was compared by entering the data from three interfaces, including the mechanical ventilator, ECMO, and lab test.
Our Products and Customers
Out-of-Hospital Cardiac Arrest multicenter registry (Comprehensive Registry of Intensive Cares for OHCA Survival (CRITICAL) Study
Led by Prof. Taku Iwami
Dept of Preventive Services,
Graduate School of Medicine, Kyoto UnivMulticenter Prospective RCT (15 sites, specific clinical study) Early Treatment With a Sodium-glucose Co-transporter 2 Inhibitor in High-risk Patients With Acute Heart Failure (EMPA-AHF)
CRISIS (Critical RNA Infectious Disease Infectious Dashboard) Design and Operation & CRISIS-related prospective multicenter study (10 studies) COVID-19
Led by ECMO net"Burn Injury Inpatient Registry" of the Japanese Society for Burn Injuries
and others!!
Research Article
The study evaluated an optical character recognition (OCR)-based data entry system in intensive care units across three countries, finding that it achieved 98.5% data completeness, 96.9% accuracy, and reduced data entry time by an average of 43.9% compared to manual entry, suggesting it as a promising tool for clinical data management.
