KelaHealth provides an AI-enabled API that delivers patient-specific predictive insights and recommended interventions at critical decision points in the surgical process. This technology enhances existing medical applications, improving patient throughput, care team productivity, and overall surgical outcomes by identifying individual patient risks and optimizing clinical operations.
Funding
$15.5M 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.
NSRDSVFounders
Product
Problem
Surgical processes often lack patient-specific predictive insights, hindering optimal decision-making at critical junctures. This can lead to inefficiencies in patient throughput, reduced care team productivity, and suboptimal surgical outcomes due to unidentified individual patient risks.
Solution
KelaHealth offers an AI-enabled API that integrates into existing medical applications to provide patient-specific predictive insights and recommended interventions throughout the surgical process. By analyzing data from millions of patients, the Surgical Intelligence Service identifies individual patient risks and suggests modifiable factors to improve care quality and clinical operations. This augmentation of existing partner applications enables hospitals to "Operate Smarter" by leveraging data to enhance the perioperative surgical process, ultimately improving patient safety indicators and reducing hospital-acquired conditions.
Target Audience
KelaHealth targets hospitals, healthcare providers, medtech companies, and payers seeking to improve surgical outcomes, increase efficiency, and enhance patient safety through data-driven insights.
Features
- AI-powered predictive analytics for patient-specific risk assessment
- Identification of modifiable factors to optimize surgical outcomes
- Integration with existing medtech and software industry partner applications via API
- Insights delivered at critical decision points in the surgical process
- Data-driven recommendations for interventions to improve care quality
- Analytics to improve patient throughput and appropriate utilization
- Tools to streamline communications and processes, improving scheduling accuracy