PatenSee offers a contactless optical imaging system for monitoring vascular access in dialysis patients, significantly reducing the assessment time from 7-8 minutes to just 1 minute. This technology mitigates the risks of infection and discomfort associated with manual checks while providing objective, data-driven analyses for timely clinical referrals.
Funding
$800K 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
Dialysis patients rely on a functioning vascular access, typically a fistula, for hemodialysis. Current methods of monitoring vascular access sites are time-consuming, can be subjective, and carry a risk of infection due to physical contact. The lengthy assessment process and potential for human error can delay the detection of access complications, leading to suboptimal patient outcomes.
Solution
PatenSee offers a contactless optical imaging system designed for rapid and objective monitoring of vascular access in hemodialysis patients. The system uses optical technology and AI-driven analysis to simulate the traditional "look, listen, feel" assessment performed by nurses, but without physical contact. This approach reduces the risk of infection and discomfort for patients while providing data-driven insights into vascular access health. The system aims to streamline the monitoring process, reduce assessment time, and facilitate timely referrals for intervention when necessary. By providing objective, real-time data, PatenSee enables proactive management of vascular access, potentially improving patient outcomes and reducing healthcare costs.
Target Audience
The primary target audience includes dialysis clinics, nephrologists, interventional radiologists, and healthcare providers involved in the care of hemodialysis patients.
Features
- Contactless optical imaging for vascular access assessment
- Rapid assessment time of approximately one minute
- AI-driven analysis of collected data for objective evaluation
- Real-time data collection and analysis
- Alerts for potential access complications, triggering referrals to interventional radiology (IR)
- Data-driven reports to inform clinical decision-making