E or M Utilization Risk Analysis
July 21, 2015 - Fremont CA USMentorHealth
support@mentorhealth.com
Phone:8003851607
Fax:302-288-6884
Overview: It is a given that understanding E/M guidelines is critical for accurate and appropriate coding. Perhaps even more important, understanding how to benchmark E/M utilization is the key to developing advanced management strategies. This includes compliance risk assessments, financial impact analyses and understanding how to interpret variances from national and local comparative databases. Why should you attend: While covering basic techniques, such as intra-category analysis, this workshop goes well beyond the 'bell curve' concept, focusing on new and emerging techniques, including comparative metrics for inter-category (category to category), and global category (category to total) utilization. Attendees will also be introduced to two cutting edge methodological concepts; differential modeling, which is used to quantify the variance between the practice and any control group and the Cohen Acuity Factor (CAF); and advanced technique used to standardize the Medicare "bell curves" for any payer mix. The CAF is the only mathematical model that can accurately project the financial impact of over and under coding. Areas Covered in the Session: The importance of E/M Utilization Using comparative databases and statistics Measuring inter- and global category utilization How to normalize the CMS database Introduction to differential modeling and acuity factoring Case Study - Interpreting the results Who Will Benefit: Chief Compliance Officer Director of Compliance Coding Manager Billing Manager Frank D.Cohen is the Director of Analytics and Business Intelligence for Doctors Management, a Knoxville-based healthcare consulting firm. His areas of expertise include applied statistics, data mining, predictive analytics and process improvement. Mr. Cohen is the author of several books, including his newest, "RVUs: Applications for Medical Practice Success". Mr. Cohen has participated in and published numerous articles and studies and trained thousands of physicians, administrators, CPAs and other healthcare professionals in all areas of healthcare analytics.