Denial Prevention: Addressing Root Causes through Data Analytics and a Team-based Culture

March 28, 2019
12:00 PM – 1:00 PM CT

At the completion of this educational activity, the learner will be able to:

  • Define data, data analysis, information and knowledge management.
  • Identify key contributors of data in various healthcare settings.
  • Clearly distinguish the difference between Reason Code, Issue and Root Cause.
  • Determine which data elements are relevant for analysis.
  • Establish an action plan based on the information obtained from data analysis (including reports and key stakeholders).

Speaker: Tracey A. Tomak, RHIA, PMP

Interventional Radiology

April 12, 2019
9:00 AM – 12:00 PM PT

(Originally scheduled for March 16, 2019)

Interventional Radiology

Speakers: Heather Sutton, MD, MEd, CPC, CCS, CDIP, CIRCC and Tamra Wood, RHIT, CCS, CCS-P

Sepsis Coding and Challenges for Today and Tomorrow

March 21, 2019
12:00 PM – 1:00 PM ET

This Coding Roundtable will include a brief review of what we as HIM perceive Sepsis is and how it should coded and what to look for when coding. It will also provide insight into the clinical side of Sepsis 3 and how it will effect coding in the future.

Speaker: Christopher L Averill (Chris), RHIA

Improving the Quality of Cancer Care by Leveraging Oncology Data Analytics

May 30, 2019
12:00 PM – 1:00 PM ET

In partnership with Cedars-Sinai Medical Center, This presentation will provide insight into how oncology analytics provided by the Cancer Registry can assist in the advancement and improvement of cancer care.   Leveraging technology and engaging in adaptive cancer registry abstraction techniques, unlocks a vast potential that can drive organizations to deliver best practice level care as well as successfully compete in the current value-based era.   Utilizing Cancer Registry data in an institutions multidisciplinary Cancer Quality forum allows providers to analyze and understand data analytics in ways not commonly coordinated. This provides actionable metrics that links clinical and financial perspectives to develop a powerful, collaborative relationship. Technology provides clinical decision support so providers and administrators can evaluate current trends, performance and industry benchmarks to ensure they are meeting clinical industry standards and assist in future goal setting. In addition, analytics helps to streamline cancer care operations and maximize efficiencies.

Objectives:

  • Discuss how Cedars-Sinai Medical Center applies data analytics driven by Cancer Registry research and analysis to improve quality of care.
  • Review how data and analytics are used to uncover insights into the clinical practice.
  • Explore challenges and opportunities that data and analytics can unveil.

 

Speaker: Kendra L. Hayes, RHIA, CTR