This digital healthcare platform connects employers with a network of virtual clinics and licensed healthcare professionals. It offers employees virtual consultations, preventative screenings, and chronic disease management, aiming to improve well-being and reduce healthcare costs for businesses.
Funding
$150K 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
Healthcare organizations face challenges with poor data quality, inconsistencies, and incompleteness, hindering the effective use of AI, machine learning, and analytics for clinical and operational decision-making. Existing data pipelines often require large-scale, time-consuming projects for cleansing and grouping data.
Solution
Fullsteam Health offers a Health Data Refinery, a platform that automates the curation of healthcare data into an actionable form. The platform extracts data from canonical sources, cleanses and normalizes it, maps it into meaningful hierarchies, and continually monitors its quality. By providing curated, high-quality data, Fullsteam Health enables healthcare organizations to enhance clinical decisions, optimize operations, empower research, streamline IT processes, and improve financial performance. The platform delivers real-time insights for resource allocation, patient flow, supply chain management, and informed diagnoses and treatments.
Target Audience
Fullsteam Health targets healthcare systems, hospitals, and other healthcare organizations seeking to improve data quality and leverage data-driven insights for clinical, operational, and financial improvements.
Features
- Automated data extraction from canonical healthcare data sources
- Continuous data cleansing, normalization, and standardization to ensure consistency
- Data mapping into meaningful hierarchies across clinical and administrative concepts
- Ongoing monitoring of data integrity and quality with alerts for variations and anomalies
- Containerized platform deployable behind the health system's firewall for data privacy and security
- Compatibility with open-source tools, mitigating the need for additional software purchases
- On-premise and cloud deployment options, agnostic to cloud service providers
- Multi-modal notification engine for sending inferences generated from visualizations or models to any workflow
- Real-time data extraction and curation for visualizations, decision-support tools, and implementable models
- Portfolio of AI-driven applications, including Patient Bed Visualizer, Virtual Rounding Visualizer, and Readmission Alert Monitor