Engaging Physicians for ICD-10: All Aboard!

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Friday, March 29, 2013 1:00 PM ET, 12:00 PM CT

Join us for this thought-provoking presentation reviewing ICD-10 education and documentation for physicians, and how Siemens is positioned to assist with your ICD-10 preparedness.

Engaging and motivating physicians is one of the critical success factors to any ICD-10 readiness project. Getting physicians trained on the documentation requirements for ICD-10 is only part of the equation—inspiring them to implement the new information is another challenge entirely. Hear how Siemens is preparing customized education to ensure the right training is presented in the right way at the right time to expand physician knowledge and motivation.

Using claims analytics, Siemens ICD-10 subject matter experts identify the departments with the greatest risk of reimbursement changes and compliance issues under ICD-10. These analytics allow us to tailor the training to the physician specialty and therefore maximize his/her training time.  
 

Learning Objectives:

  • Identify various methods for training physicians and how to get started.
  • Discuss how measuring physician performance can factor into medical necessity determinations.
  • Identify how to utilize claims data to analyze top focus areas for ICD-10 and identify the key impact areas for reimbursement.
About the Speaker(s):

Lisa Kozakoff
Principal Consultant
Siemens Strategic Consulting, Revenue Cycle

Lisa Kozakoff has extensive experience in healthcare operations, clinical documentation, health information management and compliance. She has successfully developed and led consulting teams focused on clinical documentation improvement, physician documentation education and most recently ICD-10 transition work.

Lisa is an RN with over 25 years in healthcare who has given over 500 physician presentations and spoken on a national level.

Specialties:

ICD-10
Healthcare industry – provider strategy and transformation
Healthcare Reimbursement
Inter-organizational Relationships
Business Process Redesign
Data Analysis
Clinical / Coding Body Systems