1 / 5

GCC HIMSS Winter Program

GCC HIMSS Winter Program . Michael McKenna, MD. VPMM . Tuesday, January 24 th , 2012.

howard
Download Presentation

GCC HIMSS Winter Program

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. GCC HIMSS Winter Program Michael McKenna, MD VPMM Tuesday, January 24th , 2012

  2. ALGH/ALGCH actively seeks to find comparative data sources and elects to use national sources whenever available. If we believe that a measure is important to our success and an external comparison is not available we use the Advocate system for comparison. Our ability to obtain data is limited by increasing financial challenges as access to external data sources is costly. Health outcomes data is generally based on diagnostic and procedure codes selected from clinical documentation. Clinical documentation and coding practices may not accurately reflect true health outcomes. In addition risk adjustment methodologies vary by registry and the validity of these methodologies also is problematic. External comparisons for process data are generally not available with the exception of the core measures.

  3. Challenges • Accurate timely data that can be managed electronically • Finding measures that are important, have useful baselines, and can be improved with cycles of improvement • Physician and associate acceptance of the data and being accountable for the outcomes • Large amount of data noise and not being able to focus on the important things

  4. Lessons Learned • Start small and focus • Explain the “Why” as part of the data analysis • Create an accountability structure for outcomes • Think out of the box

More Related