Roam is building the natural language processing infrastructure for modern healthcare systems.
The most valuable intelligence in healthcare is locked away in language data and siloed in disparate systems of record. Data driven healthcare requires the ability to mine those systems in order to quantify language at scale. Roam’s platform unlocks the value of text data across various sources and enables companies to organize and structure that information at-scale to drive high-value business use cases
Understanding provider and patient voice of the market, along with product trends from everyday interactions collected from call centers to medical science liaison notes has the potential to transform how companies make decisions. Natural language processing can help life sciences companies leverage their text data sources to understand trends in how providers think and feel about their products to inform medical communication, marketing strategy, and real world evidence (RWE) initiatives.
Hospital Systems &
Electronic medical records fail to create structured data sets of sufficient depth and consistency, and ultimately provide only a partial view of a patient. Natural language processing can help hospital systems and care providers enrich their view of patients to optimize care, improve patient satisfaction, and monitor for compliance against clinical quality and performance measures.
& Service Providers
Successful patient care depends on quality data systems, interoperability, and effectively analyzing the complex, messy data generated by health systems. Natural language processing can improve operational efficiency and patient management for better services to patients and providers. Extracting rich information from patient records also creates opportunities for new or improved services by making it possible to automatically perform tasks that would otherwise require significant manual data processing effort.