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Healthcare Data Mining Clinic: Targeting Complex Codes Webinar
Friday, July 26, 2019, 12:00 PM - 1:00 PM EST
Category: Events

Healthcare Data Mining Clinic: Targeting Complex Codes Webinar

Presenter: Lolita M. Jones, MSHS, RHIA, CCS

OBJECTIVE: There are a number of CPT surgery codes that are extremely difficult to report accurately due to the following: multiple CPT codes with similar descriptions; numerous official guidelines that have been published; and/or the technical difficulty of the procedure(s) described by the codes.  Data mining allows HIM professionals to identify, review, and validate cases in which complex CPT codes have been assigned by Coding Specialists.

Audience: Healthcare Data Analysts, Coding Supervisors, Coding Managers, Coding Directors, Revenue Cycle Managers, Coding Validation Auditors, DRG Coordinators, APC Coordinators, eAPG Coordinators, Coding Compliance Auditors, Coding Compliance Managers, Coding Consultants, Software Vendors, Coding Educators.

1)      What is Data Mining? 
2)      Why perform data mining for “complex” CPT code assignments?
3)      Data elements needed for data mining of complex CPT codes. 
4)      Data mining for CPT coding of the Excision of Skin Lesions that Protrude into Soft Tissue
5)      Data mining for CPT coding of Breast Tissue Expander Replacement with Permanent Implant
6)      Data mining for CPT coding of Acute vs Chronic Rotator Cuff Repair.

Click Here to Register

$59.00 for members and non-members alike

1 CEU 

GoToMeeting webinar - from 12:00PM - 1:00PM

  BIOGRAPHY:  Lolita M. Jones, MSHS, RHIA, CCS, a proud member of NYHIMA, has over 30 years of experience in medical coding support, auditing, and training.  Ms. Jones is currently helping to build a coding education program for a healthcare delivery system.  She is also a member of the Healthcare Data and Analytics Association (HDAA), and she has started writing a training series titled Healthcare Data Mining Clinics, through which she hopes to fill the void in  medical coding-data mining education.

Contact: [email protected]