ScienceIO develops a biomedical language platform that utilizes AI to convert unstructured medical text into structured, actionable data, enabling healthcare providers to identify patient profiles and integrate records efficiently. This technology addresses the challenge of extracting meaningful insights from complex medical documentation, ultimately enhancing patient care and operational efficiency.
Funding
$8M 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 providers struggle to extract actionable insights from unstructured medical text, leading to inefficiencies in patient care and data integration. The complexity and volume of medical documentation make it difficult to identify key patient profiles and relevant information.
Solution
ScienceIO offers a biomedical language platform that leverages AI to transform unstructured medical text into structured, enriched data. This enables healthcare organizations to build solutions for improved patient care, streamlined workflows, and enhanced data analysis. The platform's AI algorithms identify and map medical terms, extract protected health information (PHI), and facilitate patient cohort selection. By automating the process of data extraction and structuring, ScienceIO empowers healthcare providers to unlock the full potential of their data.
Target Audience
ScienceIO's primary customers are healthcare providers, digital health companies, pharmaceutical and biotech firms, and organizations involved in payor workflows and revenue cycle management.
Features
- AI-powered extraction of medical concepts and relationships from unstructured text
- Identification of Protected Health Information (PHI) for patient privacy and compliance
- Mapping of medical terms to over 9 million concepts through a single API call
- Patient cohort selection based on diagnoses, vitals, test results, and clinical documentation
- Support for various use cases, including digital health, commercial landscaping, payor workflows, diagnostics & biomarkers, and revenue cycle management