Artificial IntelligenceNew AI Prior Authorization Determination Engine Makes Approval Process More Efficient, Beneficial to Imaging Providers

At the 2019 HIMSS Global Conference & Exhibition, Infinx Healthcare (www.infinx.com) unveiled its new Prior Authorization Determination Engine. This feature combines artificial intelligence and machine learning to automatically determine if a prior authorization is required for imaging procedures. This innovative approach will save healthcare providers valuable time, resources, and money when scheduling procedures.

Infinx’s proprietary engine is the result of intensive research, design, and testing by its dedicated artificial intelligence and machine learning team, as well as a vast, comprehensive data set. The engine is the direct result of extensive prior authorization operational experience with national payers and cutting-edge machine learning.

To best determine prior authorization outcomes, Infinx utilizes its extensive knowledge base of payer policies and guidelines to develop and implement rules using advanced machine learning techniques employed on a large repository of payer authorization outcomes.

The result is an ever-smarter, more efficient product that has the capability to be integrated into any EMR or practice management system through an API, which can offer real-time results at scheduling.

For more information on the Infinx Prior Authorization Determination solution, visit https://www.infinx.com/prior-authorization.
This post has been sponsored by Workdom

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Navaneeth Nair, Vice President-Product, Infinx

Navaneeth Nair, Vice President-Product, Infinx

Navaneeth has been in healthcare technology for more than 16 years, working across a gamut of areas focused on patient experience and access with the largest healthcare payers and providers including Aetna, Anthem, Ascension, MD Anderson, and others. For the last five years, he has been focused on the application of AI to engage patients in their health and amplify business process improvements. Navaneeth earned his Bachelor of Engineering degree from the University of Pune and his MBA in International Business, Management from The University of Connecticut School of Business.

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