The startup offers a clinical data registry platform that utilizes encryption algorithms to securely share and manage sensitive healthcare data while maintaining compliance with regulations. This technology enables hospitals to control and trace patient data effectively, facilitating accelerated research without compromising data ownership or security.
Funding
$21.7M 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
Patient advocacy organizations and researchers face challenges in efficiently gathering, organizing, and analyzing the vast amount of unstructured data contained within patient stories. This makes it difficult to extract actionable insights and limits the ability to personalize care, advance research, and recruit patients for clinical trials.
Solution
Array Insights offers Tallulah, an AI-powered patient story management platform that transforms patient and caregiver experiences into increased engagement and patient-centric research. Tallulah centralizes patient story data, enabling patient advocacy organizations to streamline story management, power their data with AI-driven insights, and unlock insights from patient stories at scale. The platform uses machine learning to efficiently tag and segment patient messages, allowing organizations to quickly provide patients with the resources they need and mobilize participation in clinical trials. By consolidating patient story data into a single source of truth, Tallulah facilitates easy accessibility while maintaining patient privacy, enabling researchers to access previously untapped qualitative data.
Target Audience
The primary target audience includes patient advocacy organizations seeking to streamline patient story management and researchers aiming to leverage patient narratives for clinical insights and trial recruitment.
Features
- AI-powered platform to organize, tag, and search patient story information
- Machine learning models for efficient tagging and segmenting of patient messages
- Centralized repository for patient story data, creating a single source of truth
- Secure data handling with a focus on maintaining patient privacy
- Tools to transform unstructured patient narratives into actionable insights
- Features to streamline patient story management, saving organizations time and resources
- Capabilities to unlock clinical endpoints and improve patient recruitment using AI