SAIVA AI utilizes machine learning algorithms to analyze patient data and identify subtle changes in clinical conditions, enabling care teams to prioritize interventions effectively. This technology reduces staff time spent on patient chart reviews by 37% and enhances clinical decision-making, ultimately improving patient outcomes and resource allocation.
Funding
$500K 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
Long-term care facilities often struggle to proactively identify patients at risk of clinical decline, leading to delayed interventions and increased complications. Care teams face challenges in efficiently reviewing patient data and prioritizing patients who require immediate attention.
Solution
SAIVA AI is a machine learning-based platform that analyzes patient data to identify subtle changes in clinical conditions and predict potential health declines. The AI algorithms highlight key risk indicators and provide personalized care recommendations, enabling care teams to prioritize interventions effectively. By unifying patient data into a single, clear view, SAIVA AI facilitates proactive care, reduces unnecessary escalations, and improves resource allocation. The platform integrates seamlessly into existing workflows without requiring new data entry or disruptive changes.
Target Audience
The primary target audience includes long-term care facilities, skilled nursing facilities, and other healthcare organizations focused on geriatric care.
Features
- Machine learning algorithms that analyze patient data to identify subtle changes in clinical conditions
- Risk ranking system that prioritizes patients based on their likelihood of clinical decline
- Personalized care recommendations tailored to each patient's specific needs
- Identification of key risk indicators, such as slight ankle swelling, cough, and weight gain
- Clinical hypothesis generation to support informed decision-making
- Seamless integration with existing electronic health record (EHR) systems
- Objective partner that unifies all stakeholders with a single, clear, and accessible view of the patient