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Metrics: Measuring the Impact of CDI and Coder Contributions

Metrics: Measuring the Impact of CDI and Coder Contributions. Eric Ryland, RHIA, CHDA, CCS, CPC Manager of Coding Denver Health Medical Center Denver, CO. Our Facility . Denver Health is a level one trauma center Located in downtown Denver 477 beds

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Metrics: Measuring the Impact of CDI and Coder Contributions

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  1. Metrics: Measuring the Impact of CDI and Coder Contributions Eric Ryland, RHIA, CHDA, CCS, CPC Manager of Coding Denver Health Medical Center Denver, CO

  2. Our Facility • Denver Health is a level one trauma center • Located in downtown Denver • 477 beds • Multiple hospital-based specialty clinics • Multiple community healthcare centers • Medicaid & uninsured are our largest payer groups • Medicare is our third largest payer • Teaching facility utilizing residents

  3. Coding Area • One coding manager and two assistant managers • 25 coders – inpatient & outpatient • Two outsourcing companies providing additional coverage for staff vacations and training time • We code for inpatient DRG accounts, observations, ambulatory surgeries, emergency department account, and for the specialty clinics • 5-day turnaround time for coding

  4. CDI Area • One CDI nurse manger • Three CDI nurses working part time for an equivalent of 2 FTEs • Primary focus is our Medicare & Medicaid patients • CDI staff report to the HIM director • CDI staff attend the monthly coding meetings and maintain a high level of communication with the coding staff

  5. Core Measures & PSI Staff • Core measures & PSI staff are located in the quality department and report up to the CQO • One nurse reviews core measures data • One nurse reviews accounts for PSI, HAC, SOI, and ROM • The quality department nurses frequently attend coding meetings

  6. Goal • We want to be able to demonstrate the success of the efforts made by the CDI and the coding staff. This helps: • Justify the funding for the CDI program • Support the argument for highly trained coders • Identify areas of improvement within the CDI or coding teams • Create a feedback loop between the CDI staff, the coding staff, and the downstream users of the coded data

  7. Who Are the Interested Parties? • CDI manager • Coding manager • HIM director • Utilization management • CFO • Others

  8. What Are the Areas We Are Looking At?

  9. How Do We Go About Measuring for So Many Areas? • We must determine what area we wish to measure from • CDI staff, coders, quality staff, etc. • We must select a metric to quantify our results • Number of changes, $$$, CMI, etc. • We must determine the point in the process to measure at and how to capture that data • Manually collect data or capture data from systems reports

  10. Who? How? When? • Who? • The areas measured for effectiveness • Chosen by need to demonstrate effectiveness • How? • Using metrics • Chosen by usefulness and an ability to calculate • When? • At valued-added points • Determined by reviewing process flow charts

  11. CDI Committee • Physician advisor • CDI manager • CDI nurses • Coding manager • Inpatient coding educator • HIM director • Utilization management director • Quality measures nurses

  12. Flow Chart Process • Flow-chart from the beginning with CDI to final data item • Create a master flow chart that incorporates the flows of all endpoint data items • This allows you to identify the points along the way where each area plays a role • With the flow chart you can then visualize how to begin measuring the successful efforts of the people involved in the process

  13. CDI Flow Chart

  14. CDI & Coding Flow Chart

  15. HAC Flow Chart

  16. PSI & Core Measures Flow Chart

  17. Identifying the Points of Measurement

  18. How to Quantify the Measurements? • Numerical count • A simple count of the number of changes • Can also be expressed as a percentage • Dollar increase/decrease • Revenue increase or decrease resulting from a DRG change • Change in CMI, SOI, ROM, core measures • Showing initial and final aggregate scores

  19. Revenue Increase

  20. DRG Relative Weight Changes

  21. Calculating Aggregate CMI Change

  22. Metrics for Measurement

  23. Methods of Metrics Gathering • Manual • Spreadsheets • Time-consuming with potential for data entry errors • Software • Run reports • May be limited to a single software system • A data warehouse can consolidate systems data • Combination • Software-generated reports integrated with spreadsheet data • Most prevalent situation

  24. Our Model for Data Collection

  25. Our CDI Results

  26. CDI Query Results 4th Qtr. 2011 • Query rate • 26% • Physician response rate • 78.2% • Physician agrees with query • 82% • Financial impact rate • 6.8%

  27. Our Coding Results 2011

  28. Our HAC Results

  29. Our PSI Results

  30. Our Core Measures Results 2011

  31. # of Visits Reviewed

  32. Total # of Reviews

  33. Total # of Queries

  34. Reimbursement Impact

  35. MCC/CC Capture Rate

  36. Query Rate

  37. Physician Response Rate

  38. Agreement Rate

  39. Reporting Frequency • Monthly reports are created and reviewed by the coding manager, CDI manager, HIM director, and the quality department nurses • Quarterly & annual reports are created and prepared for presentation to the CFO, CQO, and CIO • Weekly reports are generated on accounts with outstanding queries, missing dictations, and disparities between the CDI DRG and the coding DRG

  40. Lessons Learned • Capturing metrics through software saves time and resources • Developing our metrics helped us streamline both the CDI and the coding work flows • Our CDI metrics gave us insights into where we could look to improve our efforts • The metrics gave us support for additional training of our coders • Developing metrics has helped create a more cooperative environment between the areas involved

  41. What to Look for in Choosing Software • Know what data you want to capture and how you want to report it • Look for software that has the reporting capabilities you are looking for • Determine whether you are looking for a database to enter your data or a more dynamic system that interacts with other areas like coding • If the software allows you to create your own reports, consider a system that doesn’t use a proprietary report writing language

  42. Resources • MS-DRG weights from 2012 IPPS Final Rule • https://www.cms.gov/AcuteInpatientPPS/FR2012/list.asp#TopOfPage • HACs • https://www.cms.gov/HospitalAcqCond/downloads/HACFactsheet.pdf • SOI overview • http://www.ahrq.gov/qual/mortality/Hughessumm.htm

  43. Contact Information Eric Ryland, RHIA, CHDA, CCS, CPC eric.ryland@dhha.org

  44. Questions? In order to receive your continuing education certificate for this program, you must complete the online evaluation which can be found in the continuing education section at the front of the workbook.

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