Hortonworks Inc (NASDAQ:HDP) a primary innovator of connected data and open platforms reported that Clearsense, a developer of a unique healthcare data applications and data ecosystem focused on enhancing outcomes, is using Hortonworks DataFlow (HDF™) and Hortonworks Data Platform (HDP®) to derive value from Big Data released by the healthcare industry.
The buzz
Clearsense emerged out of a passion for assisting healthcare units comprehend the promise of their data. It offers clearer visions into care delivery and decision-making of financial, operational and clinical challenges. With Hortonworks DataFlow, Clearsense consumes data from health systems and hospitals across the U.S. That data comes into Hortonworks DataFlow, where Clearsense applies advanced analytics and data science for apps that offer real-time intelligence for their customers.
Christopher Rogowski, the President of Clearsense, reported that Hortonworks offered Clearsense with an entire set of latest Big Data technology components that they utilized to establish their healthcare centric data network. Through the use of Apache NiFi and HDF, their customers are afforded the capability to be the first to get real-time data and info to make informed operational, financial and clinical choices at the point of decision.
Traditional analytics and technologies offer for latent, historic, incomplete or static views. What Clearsense offers to their customers is the right data at the right time and also with the right parameters. They assist them with merely the data they need for certain uses. Hortonworks brings big value to their ability to transition information into strategic assets.
Whether Clearsense’s customers have financial, clinical, supply-chain or other active challenges to address, HDF and HDP allow Clearsense to offer exceptional value to their customers and their clients’ patients. For example, one of Clearsense’s customers, a famous healthcare provider, requested to monitor major patient vital indications for any adverse drifts. Clearsense marked one such trend in advance of a grave patient health situation. The point is that such actionable insight cannot exist without analysis of actual, streaming data via Hortonworks DataFlow.
