The startup develops an electronic sedation system that monitors vital signs such as heart rate, respiratory rate, and pulse oximetry without requiring sensors on the patient. Its AVD-M monitor utilizes machine vision and artificial intelligence for remote, non-contact patient monitoring, enhancing safety and reducing costs in anesthesia care delivery.
Funding
$5M 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.
Founders
Product
Problem
Continuous patient monitoring in hospitals and nursing homes often relies on wired sensors, which can be cumbersome, increase the risk of infection, and may not be feasible for all patients. The lack of continuous monitoring can lead to delayed detection of critical events like respiratory or cardiac arrest, increasing patient risk and hospital costs.
Solution
Atapir is developing the AVD-M platform, a non-contact, remote patient monitoring system that uses machine vision and artificial intelligence to measure vital signs without the need for sensors on the patient. The system remotely monitors heart rate, respiratory rate, pulse oximetry, perfusion, pain, and mood. By continuously monitoring patients, the AVD-M platform aims to reduce the risk of respiratory and cardiac arrest, improve patient safety, and assist nurses with their workload. The platform integrates with electronic health records to provide real-time monitoring and facilitate prompt identification of clinical deterioration.
Target Audience
The primary target audience includes hospitals and nursing homes seeking to improve patient safety, reduce costs associated with adverse events, and enhance nursing efficiency.
Features
- Non-contact monitoring of heart rate, respiratory rate, pulse oximetry, and perfusion using machine vision and AI
- Remote pain and mood assessment
- Continuous, real-time monitoring of vital signs
- Integration with electronic health records
- Algorithms for SpO2, pain monitoring, heart rate, respiratory rate, and blood pressure
- Fall risk detection