Search Results "physician overflow"

Blog
: How health IT can improve coordination and quality while reducing cost

By Robert Pearl, MD, guest blogger The technology boom of the 1990s promised to give physicians access to comprehensive patient information and replace outdated paper records. B...

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: Harris acquires US-based healthcare SaaS provider Ingenious Med

Ottawa, ON, June 29, 2021 – Harris, a global vertical market software provider and acquirer, acquires US-based healthcare SaaS provider Ingenious Med, Inc. (Ingenious Med). ...

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Blog
: The Untapped Power of Revenue Cycle Management Tools: Care Team Collab

New Ingenious Med-funded research shows that 86% of hospitals and health systems still rely, at least in part, on their electronic health record (EHR) platforms for revenue cycle m...

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: 78% of Healthcare Execs Say Charge Capture Is Essential, Yet 40% Discu

New Ingenious Med survey reveals misalignment between perception and action...

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Case study
: Redesigning Physician Productivity to Address Workforce Shortages, Fin

Hospitals have been struggling with labor productivity for years1 and hospitalists specifically have seen very little increase in productivity during the previous decade.2 As healt...

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Blog
: Identifying Charge Capture Best Practices to Improve RCM

Though healthcare organizations consider revenue cycle management (RCM) one of the most important aspects of business, little research has been conducted on the front end of the fi...

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Blog
: 3 Tips to Reduce Missing Bills

With so much variation and so many people with the opportunity to touch each charge, it’s easy to see how some are missed. Making matters worse, many organizations lack the proce...

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Blog
: From Minimizing Denials to Minimizing Risk: How to Move RCM Out of the

RCM Risk Management: 3 Ways Point of Care Tools Can Help Your Revenue Cycle Evolve Most healthcare revenue today is tied in some way to quality and cost performance measures acro...

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: New Research Reveals More Hospitals and Health Systems are Investing i

Survey results indicate that most organizations are planning to invest in AI within the next 1-3 years and are expecting AI to be widespread throughout revenue cycles within 5 year...

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