Our ICD-10 Service Offerings
ICD-10 Physician Training
We feel that the practitioners will feel the overwhelming brunt of the impact of ICD-10; they will no longer be able to characterize their patients’ illnesses and conditions the way they have since medical school. Since the 1st Quarter of 2014, TCN has been offering provider ICD-10 training for its clients as a new service. The training is specialty-specific and offered in conjunction with ICD-10 Gap Analysis audits.
ICD-10 Gap Analysis
In the 1st Quarter of 2014, TCN introduced ICD-10 Gap Analysis as a new service. The analysis examines current medical records documentation, verifies the ICD-9 accuracy and provides the ICD-10 codes that would correlate to the documentation. TCN identifies current diagnostic documentation deficiencies that need to be addressed in order to support accurate ICD-10 coding. Once more, we aim to combine the results from the Gap Analysis with the Physician Documentation training sessions.
Latest Blog Posts:
Acquiring a Physician Practice? Look Beyond the Financials With Coding Due Diligence
When evaluating a physician-practice acquisition, a deep dive into the financials of the target does not always tell the whole story. Without an examination of whether the coding and clinical documentation support the services behind [...]
2027 ICD-10 Changes Are Coming: Is Your Coding Team Ready for October 1?
October 1st may still feel a few weeks away but for hospital and physician practice coding and compliance teams the FY 2027 ICD-10 transition has already begun. CMS and the CDC have released the final ICD-10-CM [...]
Three Hidden Costs of In-House Medical Coding That Healthcare Leaders Often Miss
The Real Cost of Coding: Beyond Salary Most healthcare finance leaders know what they pay their coding team. Fewer know the real cost of in-house medical coding — and the distinction matters. The visible cost [...]
Why Human Oversight in AI Medical Coding Remains Essential in 2025
The emergence of AI in medical coding is invariably impacting healthcare and traditional workflows and resource allocation. Yet, as AI platforms tout accuracy rates exceeding 90%, a critical question persists: Can autonomous coding stand alone? [...]