Roam transforms patient pathway analysis through a machine learning platform designed for healthcare.
Our platform uses comprehensive contextual data and machine learning to empower biopharmaceutical and medical device companies with the predictive insights they need to make informed decisions, provide more effective treatments, and achieve the best possible patient outcomes.
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.