Navid Toosi Saidy
Founder
Propel Health AI
Propel Health AI provides an end-to-end healthcare data and AI platform that enables healthcare providers to ingest, process, and share multimodal real-world patient data. This platform enhances data accessibility and supports the development of AI models, facilitating data-driven decision-making to improve patient outcomes and operational efficiency.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Healthcare Technology
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Healthcare providers face challenges in accessing, processing, and sharing multimodal real-world patient data, which hinders data-driven decision-making and the development of effective AI models. The complexity of data harmonization, governance, and compliance with global privacy and security requirements further complicates the process.
Solution
Propel Health AI offers a comprehensive healthcare data and AI platform designed to streamline the ingestion, processing, curation, and sharing of real-world patient data. The platform facilitates rapid data access and analysis, enabling healthcare providers and researchers to aggregate data from any device, anywhere, at any time. It supports the development and deployment of AI models, improving operational efficiency and enhancing patient care. Propel also simplifies healthcare data licensing through data harmonization, governance tools, and adherence to global privacy and security standards.
Target Audience
The primary target audience includes healthcare providers, researchers, and life sciences companies seeking to leverage real-world patient data for AI development, clinical decision support, and improved patient outcomes.
Features
- End-to-end platform for ingesting, processing, and sharing multimodal real-world patient data
- Tools for data harmonization, governance, and compliance with global privacy and security requirements
- Support for developing and deploying AI models to meet specific healthcare needs
- Capabilities for clinical and operational decision support
- Features for identifying eligible candidates for diagnostics, therapies, and medical devices
- Infrastructure for operational data visualization and analysis