Verato's Accelerated Time-to-Value with Alteryx in Healthcare

Verato, a startup specializing in patient identity resolution and master person index, recognized the need for higher-quality data in the healthcare market. The company uses a unique cloud-based solution that employs algorithms, or Referential Matching, to match vendor databases with patient data. This solution helps hospitals match medical records and patient data with greater accuracy, improving patient care. However, Verato faced a significant challenge in analyzing vast volumes of patient identity data. The company had no standard tool in place to analyze millions of records quickly and efficiently. Much of the work was being done in Python scripts, which did not allow for ad-hoc data analysis. Furthermore, Verato had to process ad-hoc requests on tight deadlines, with each customer providing 600 million rows of data. The company needed a solution that could automate workflows, process data inputs in a timely fashion, and connect to their Slack files and Mongo database.

Verato is a startup in the healthcare industry, specializing in patient identity resolution and master person index. The company uses a unique cloud-based solution that employs algorithms to match vendor databases with patient data, solving millions of identity queries every day. This solution helps hospitals match medical records and patient data with greater accuracy, improving patient care. Verato is an emerging technology in the healthcare market, with a unique product that traditional master person index solutions cannot quickly scale to meet today's healthcare demands. The company is a disrupter on a mission to help healthcare delivery organizations improve care coordination for and engagement of their patients.