The KyruusOneTM Platform is a Big Data information and analytics system that dynamically assembles and integrates comprehensive data from 1,000's of external and proprietary data sources about physicians. Our technology incorporates the latest healthcare domain-specific methods for ensuring high-confidence matching, disambiguation, and attribution of records so that users are always basing their critical operational decisions on complete, accurate, and up-to-date information. Our sources include structured sources, such as state medical databases, clinical trial registries, and claims / billing data, as well as unstructured sources, including hospital websites, journal articles, conference proceedings, and company websites. Our database contains billions of data points on all physicians licensed to practice in the U.S., and is updated daily to ensure freshness and up-to-date insights.
The average hospital maintains over 200 databases containing physician data. Add to that the 1,000's of publicly-available data stores reporting physician information, and it's easy to quickly become overwhelmed by the volume, heterogeneity, and maintenance needs of the physician data landscape. Kyruus' Physician Master Data Management technology helps you integrate, verify and enrich massive amounts of physician data from internally and external assets to create a Unified View of Your Physicians.
Physician adoption of healthcare analytics tools has been hindered by a lack of credibility and trust in the underlying data - proper attribution, matching, and reconciliation of disparate data sources can be a challenge to accomplish with legacy databases and technology systems. Kyruus' Disambiguation Engine takes a Big Data approach to the matching of records from distributed data sources. Rather than rely on pre-defined join keys, our engine can infer the highest likelihood matches by looking across the hundreds of dimensions of a physician's profile in Kyruus' pre-populated master profiles database, while also creating alerts in instances where records may be improperly matched or labeled in the client's database.