1 / 10

Reporting—How Data in Gets Data Out

Reporting—How Data in Gets Data Out. How Clean is Your Data?. Presenter Disclosures. Jean Troop. “No relationships to disclose”. The following personal financial relationships with commercial interests relevant to this presentation existed during the past 12 months:. Session Objectives:.

mrinal
Download Presentation

Reporting—How Data in Gets Data Out

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. Reporting—How Data in Gets Data Out How Clean is Your Data? SCHA-MI Annual Meeting 2014

  2. Presenter Disclosures Jean Troop “No relationships to disclose” The following personal financial relationships with commercial interests relevant to this presentation existed during the past 12 months: SCHA-MI Annual Meeting 2014

  3. Session Objectives: • Discuss data and how that is used for reporting • Quality • Grant • Research • Understand “clean” data • Demographics • Financial • Discuss new CAHC State requirements SCHA-MI Annual Meeting 2014

  4. Data • So what is “data”? • How are the elements captured? • Demographics • Gender/Age • Race/Ethnicity • Insurance • Clinical • Diagnosis • Procedure/Services SCHA-MI Annual Meeting 2014

  5. “Clean” Data • Data entry • Driver for “clean” data • Data in = Data out • Garbage in = Garbage out • Quality • Ensure everyone doing data entry understands the what and why (uses) of that data SCHA-MI Annual Meeting 2014

  6. Reporting • Data fields • Reportable fields have a standard data format • Ease and consistency of reporting • EHR and PM systems all have “reportable” fields • Understand what those are for your systems • Ensure everyone who enters data understands what is being captured in those fields SCHA-MI Annual Meeting 2014

  7. Reporting continued…… • Utilize the data for any reporting • Quality • Incentive • Grant • Research SCHA-MI Annual Meeting 2014

  8. CAHC State Reporting 2015 • Review documentation • Definitions • Report element changes • Available resources SCHA-MI Annual Meeting 2014

  9. QUESTIONS? Thank you for your time! SCHA-MI Annual Meeting 2014

  10. Thank you for your time today • If you would like additional information or help please feel free to contact us. We are happy to help! • Jean Troop, MBA, RHIT jtroop@scha-mi.org or • Susette Bader-Sherwood ssherwood@scha-mi.org A division of the School-Community Health Alliance of Michigan SCHA-MI Annual Meeting 2014

More Related