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ICD-10 & Coding

Tammy Bickle of Oregon Health & Science University Hospital on AI
Success Stories & ROI
By Bill Siwicki | 12:30 pm | May 13, 2025
The Oregon health system's coder workload has been reduced by nearly 28%, while coding-related denials for autonomously coded radiology cases are now 70% lower than those managed manually. The automated denial rate is also substantially lower.
A doctor reviewing a patient's chart
By Adam Ang | 07:30 pm | April 13, 2025
Northern Health in Melbourne has replaced its legacy system with AI-assisted coding.
ICD-10 working failing
By Carl Natale | 11:26 am | November 29, 2016
A physician summons Yogi Berra to recommend sticking a fork in ICD-10 and giving clinicians a more effective coding system.  
monitors with ICD-9 and ICD-10 text
By Jon Elion, MD | 10:34 am | June 18, 2015
After decades using ICD-9, we've learned to manage its quirks, says Jon Elion, MD, but we don't yet have that comfort level with ICD-10. He's not as concerned about ICD-10-CM as he is about ICD-10 PCS.
check mark
By Christy Erickson | 10:03 am | June 17, 2015
With the Oct. 1, 2015, deadline fast-approaching, is your organization ready for ICD-10? Here's a quick readiness assessment to benchmark where you are -- and where you should consider being.
Halamka offers lessons on Healthcare.gov's rough go-live
By John Halamka | 09:53 am | October 24, 2013
After nearly 20 years as a CIO, I've learned that even with the best people, best planning and appropriate budgets, large, complex projects encounter issues imposed by external factors that cannot be predicted during initial project scheduling.
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By | 12:22 pm | January 28, 2013
EHRs were projected to reduce the need for transcription. However, with slower than anticipated adoption of EHRs by providers coupled with concerns about quality and fear of inaccurate documentation and over-billing due to inappropriate copy/paste and template use, there is still a demand for transcription technology and services. A skilled medical transcriptionist can be the economical choice when faced with passing time-consuming tasks on to the most expensive person in the documentation workflow – the physician – and can serve as the extra pair of eyes to validate structured and encoded data intended for consumption by the EHR.