Premium Reports
Contact KLAS
 Download Report    Zoom in charts

Preferences

   Bookmark

Related Series

 No Related Series

Related Segments

 End chart zoom
Alpha Nodus Gravity AI Alpha Nodus Gravity AI
* A page refresh may be necessary to see the updated image

Alpha Nodus Gravity AI
Reducing Authorization Workload through AI-Assisted Tools and Integrated Outreach Features

author - Dustin Cragun
Author
Dustin Cragun
author - Taelin Bryan
Author
Taelin Bryan
 
September 27, 2023 | Read Time: 1  minute

Healthcare organizations need innovative solutions to address challenges with physician practice management. Alpha Nodus’ Gravity AI uses AI and machine learning algorithms to analyze patient data, insurance information, and treatment plans to automate the prior authorization workflow. With a combination of AI-assisted tools and integrated outreach features, Gravity AI works to reduce authorization workload, decrease payroll costs, optimize schedules, and increase productivity. This report looks at the experiences of customers using Gravity AI.

to see the full dataset.

If you don't have a login, getting started is easy.

Provider Organizations
Fill out our registration form to verify your organization.
HIT Companies
Contact a KLAS representative for plans and pricing.

Key Findings:

  1. Alpha Nodus Gravity AI Customer Experience: An Initial Look
  2. Points to Ponder
  3. Alpha Nodus: Company Profile at a Glance
  4. Solution Technical Specifications (provided by Alpha Nodus)
author - Mary Bentley
Project Manager
Mary Bentley
 Download Report

This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2024 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.

​