Care.ai develops an AI-powered ambient monitoring platform that utilizes Always-Aware Ambient Sensors to provide real-time behavioral data in healthcare settings. This technology enhances clinical workflows and patient care by enabling proactive interventions and reducing the administrative burden on care teams.
Funding
$27M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CCFounders
Product
Problem
Healthcare providers often struggle with inefficient clinical workflows and administrative burdens, which can detract from direct patient care. Traditional methods of patient monitoring and data collection can be time-consuming, prone to errors, and may not provide real-time insights into patient behavior and needs.
Solution
Care.ai offers an AI-powered ambient monitoring platform designed to enhance clinical workflows and patient care in various healthcare settings. The platform utilizes always-aware ambient sensors to collect real-time behavioral data, providing clinicians with actionable insights and predictive analytics. By automating administrative tasks and virtualizing certain aspects of care, Care.ai aims to reduce the clinical burden and allow healthcare professionals to focus on delivering timely and compassionate care. The system integrates with existing electronic health records (EHRs) and supports a range of applications, including virtual nursing, patient and protocol monitoring, and infection prevention and control. Edge-to-cloud connectivity ensures low latency and efficient data processing, while federated learning enables continuous improvement of the AI models.
Target Audience
The primary target audience includes hospitals, skilled nursing facilities (SNFs), assisted living facilities, clinics, and home care providers seeking to improve patient care, optimize workflows, and reduce administrative burdens.
Features
- Always-aware ambient sensors with high-resolution cameras for continuous patient monitoring
- AI-powered analytics for real-time insights and predictive alerts
- Integration with existing EHR systems for seamless data exchange
- AI-assisted virtual nursing capabilities for remote patient support
- Automated monitoring of patient protocols and adherence
- Edge computing for low latency and reduced network load
- Federated learning for continuous AI model improvement across the sensor network
- Customizable dashboards and reporting tools for clinical staff
- Secure, HIPAA-compliant data storage and transmission