ICD-10 Implementation Best Practices

//ICD-10 Implementation Best Practices

ICD-10 Implementation Best Practices

There is some uncertainty about how ICD-10 will be implemented industry wide.  But one thing is certain.  Claims reimbursement will not be  the same under ICD-10 as under ICD-9.  Revenue neutrality will be a difficult to achieve.  Either an increase or decrease in revenue will have a negative impact to payers or providers.

When planning for an ICD-10 implementation, payers and providers should create a special set of test cases that can be run to estimate the percentage impact to revenue.  See our recent blog post on the potential revenue and cash flow impacts of ICD-10 procedure codes, and the greater specificity of information that will not only be available but required for inpatient procedures.  This information will help make the ROI and benefits clearer for an ICD-10 implementation.

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By | 2017-05-04T04:07:01+00:00 September 10th, 2010|ICD-10|0 Comments

About the Author:

Michael is Managing Partner & CEO of No World Borders, a leading health care management and IT consulting firm. He leads a team that provides Cybersecurity best practices for healthcare clients, ICD-10 Consulting, Meaningful Use of Electronic Health Records. He advises legal teams as an expert witness in HIPAA Privacy and Security, medical coding and billing and usual and customary cost of care, the Affordable Care Act and benefits enrollment, white collar crime, False Claims Act, Anti-Kickback, Stark Law, Insurance Fraud, payor-provider disputes, and consults to venture capital and private equity firms on mHealth, Cloud Computing in Healthcare, and Software as a Service. He advises self-insured employers on cost of care and regulations. Arrigo was recently retained by the U.S. Department of Justice (DOJ) regarding a significant false claims act investigation. He has provided opinions on over $1 billion in health care claims and due diligence on over $4 billion in healthcare mergers and acquisitions. Education: UC Irvine – Economics and Computer Science, University of Southern California – Business, Stanford Medical School – Biomedical Informatics, Harvard Law School – Bioethics.

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