Roam is building the natural language processing foundation for modern healthcare systems.
We enable healthcare experts to observe and understand real-world medical trends in a more nuanced, complete, and actionable way. By applying machine learning and natural language processing to unstructured data from electronic health records, customer relationship management systems, and other sources, Roam can reveal information on lifestyle, rationale, disease progression, treatment choice, and stakeholder sentiment, otherwise hidden in text or too labor intensive to extract with current tools.
Through machine learning and advanced analytics, Roam applications provide context to vast amounts of healthcare data. Whether it's planning a new product launch or working to improve the performance of an in-market treatment, Roam helps life sciences companies solve their most critical business challenges by making complex multidimensional data analysis accessible to all.
Success in the healthcare industry today depends on patient outcomes and high-value care. That's why the Roam Health Knowledge Graph creates a rich, unified mapping of internal company data, hospital data, and relevant external data to facilitate patient-level insights and drive improvements in care.
Real-World Evidence (RWE) has the potential to transform how biopharmaceutical and medical device companies manage healthcare data. By algorithmically connecting, aggregating, and reconciling this data, Roam's platform leverages RWE to inform clinical development, patient outcomes, and risk-sharing agreements.