nThrive Corporate Blog
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Author: Chuck Rackley, Senior Vice President & General Manager, Northeast Zone | Posted: 06/12/2018
Find your par in revenue cycle metrics - focus on being your personal best
Much like golf, every health care organization’s “par” will vary based on talent, demographics, payor mix, acuity and a range of other variables. Read our blog to learn how you can help your organization strive for what’s...
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Author: Erica Franko, Senior Vice President and Managing Director of Advisory Services | Posted: 05/22/2018
Worried about shrinking margins? Address patient liability at the point of service
Uncompensated care is now a $35.7 billion dollar problem. Read our latest blog on what you can do to support patients and improve patient collections at the point of service....
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Author: Gina Stinson, Vice President of Managed Care Services and Bill Knox, Vice President of Product Management | Posted: 05/21/2018
Technical and Clinical Denials: 8 Top Questions Answered
Following a recent Denials Prevention webinar, nThrive experts address the top questions asked by health care...
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Author: nThrive | Posted: 05/21/2018
Save the Date: Join us for June 14 MACRA webinar
Join nThrive's Senior Director, Value-based Reimbursements, Moshe Starkman, as he shares tips for success and highlights the challenges and lessons learned from the first year of the Quality Payment Program...
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Author: nThrive | Posted: 04/11/2018
Value-based care analytics: Leveraging data insights to enhance reimbursement and quality
In today’s value-driven reality, government legislation such as the 2015 Medicare Access and CHIP Reauthorization Act (MACRA) is shaping the course with new value-based reimbursement (VBR) payment models, linking quality performance metrics to...
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Author: Scott Briercheck, Chief Scientist | Posted: 03/28/2018
Artificial Intelligence in Health Care: A Cure for Data Pains
Your organization, payors and government agencies collect an impressive amount of patient data to parse, read and make critical decisions going forward. But the larger the data set grows, the lower the performance of the systems that use it −...
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