By leveraging over 30 data sources, Orderly Health makes finding accurate information on healthcare providers easy.
Orderly Health, a Denver based data start-up, noticed that provider data is 50% inaccurate on average. The time spent tracking down correct information costs the healthcare insurance industry around $5 billion every year.
In response, Orderly Health created OrderlyData, an accurate database for provider information. They use around 30 public and proprietary data sources and select the correct data using their machine learning algorithm. The algorithm takes into account the past accuracy of the source in that specific field so it can predict what information is most likely to be correct.
By using an algorithm versus the standard methods of outreach and manual verification, OrderlyData can quickly update information and validate all fields without any direct contact with the healthcare provider.
They make it easy for medical administrators, patients, and healthcare insurance companies to contact the healthcare providers they need. On average, call centres are paid $4 per record to acquire provider data with up to a two-month wait for results. OrderlyData saves time, money, and frustration by having accurate data accessible instantly.