1. To code, or not to code: that is the question: Whether 'tis nobler in the mind to suffer (786.5) The calls and emails of outrageous fortune, Or to take arms against a sea of uncoded T’cons, And by opposing end them? To be denied leave, and sleep (307.41) No more; and by taking leave we temporarily end The heart-ache (419.9) and the thousand emails That my in-box is heir to, 'tis a consumption (011.9) Devoutly to be wish'd against. Jim Cox, in his year of discontent 2005

2. Coding Overview and the Commander’s Statement Ms Sharon Taylor June 2006 DQMC

3. Goal Quality data on which to base sound decisions

4. Data Goal Corollary You give me bad data, I’ll make bad decisions

5. Suggested Coding “Solution” Have each new provider, prior to receiving privileges to practice at your MTF, spend 4 hours with a good coding trainer –Option to “test out” of the class by passing test composed of examples of quality documentation which the provider will enter the correct diagnoses/external causes of injury, evaluation and management code(s) with modifiers, procedure code(s) and any other applicable HCPCS code(s)

6. One-on-one Training Overview Each training is specific to the specialty involved (e.g., training is different for obstetrics, orthopedics and occupational therapy) 1 hour documentation/diagnoses 1 hour evaluation and management/modifiers 1 hour procedures/supplies/training 1 hour practice

7. Training Goals Learn basics of good documentation Learn basics of ICD/E&M/CPT/HCPCS coding Learn when to ask for coding assistance Become comfortable asking coder questions (it also gets the coder comfortable working with the provider)

8. Measure Success of Training Random audit of provider’s first week of documentation/coding and provide immediate feedback Random audit of provider’s first month and provide immediate feedback Continue to audit/provide one-on-one feedback until documentation and coding are consistently at acceptable level

9. Professional Staff Arrange to have coder auditor have maximum of 5 minutes at professional staff to review issues common to the facility Arrange to have coders permitted to attend professional staff as –This will permit a non-threatening environment for providers and coders to interact –Coders need continuing education too

10. Now back to the beginning of this briefing

11. Objectives Understand Data Application Understand What the Data Are and Are Not Indicating Understand “Random” When Applied to Audits

12. Running a Business Would you like to know –Your customers –How much it costs to make your product –For how much you can sell your product

13. Running a Business Would you like to know –Your customers ICD-9-CM diagnosis data (6c) Demographic data Patient categories (PATCATs) –How much it costs to make your product Medical Expense Performance and Reporting System (MEPRS) –For how much you can sell your product Relative Value Units (RVUs) and Relative Weighted Products (RWPs) (6b and 6e)

14. Data Quality = $$$ Patient Registration –PATCATS - $$$ - $180.8M last year (get your Coast Guard, VA, DoD civilians, and civilian emergencies correct…) –Identifying injuries (Medical Affirmative Claims) - $$$ $16.5M last year – demonstrates how poorly we identify these cases –Other Health Insurance (DD 2569) - $$$ $106.3M last year Documentation - $$$ –Must have document filed in record –Coding - $$$

15. Close Close counts in atomic bombs Close counts in horseshoes Close does not count in coding –If there is no code, then there is no code Yes, we do bill for Active Duty services (in MSA we bill Coast Guard, in MAC will bill)

16. 5a. Outcome of monthly inpatient coding audit: NAVY

17. 5a. Outcome of monthly inpatient coding audit: ARMY

18. 5a. Outcome of monthly inpatient coding audit: AIR FORCE

19. 5b. Outcome of monthly inpatient coding audit: Inpatient Professional services audited and deemed correct (C.5) NAVY

20. 5b. Outcome of monthly inpatient coding audit: Inpatient Professional Services encounters audited/deemed correct ARMY

21. 5b. Outcome of monthly inpatient coding audit: Inpatient Professional Services encounters audited/deemed correct: AIR FORCE

22. 6a. Percentage of outpatient medical records on-hand containing the documentation and/or the loose documentation of the encounter selected to be audited or documented as checked out? (C.6) NAVY

23. 6a. % of outpatient medical records on-hand or documented as checked out? ARMY

24. 6a. % of outpt medical records on-hand: AIR FORCE

25. More AF 6a

26. 6a Why the variation –Is this a random audit? –Are ALL SADRs for the MTF included Technicians/nurses Telephone calls ALL MEPRS (include FBI) –What qualifies as “checked-out” – in the past week, past month, past year, past decade? What do the data tell us?

27. 6b. % of E&M codes deemed correct? NAVY

28. 6b. % of E&M codes deemed correct? ARMY

29. 6c. What is the percentage of ICD-9 codes deemed correct? ARMY

30. 6d. Percentage of CPT codes deemed correct? ARMY

31. 6e. % DD Form 2569s (current/complete)? NAVY

32. 6e. % DD Form 2569s (current/complete)? ARMY

33. Audits All data included population –Each encounter equally likely to be selected Random selection of sample from entire population A person will continue to code in the same manner he has coded unless acted upon by an outside source

34. Your Commander Signs: 9. I am aware of data quality issues identified by the DQMC Review List and when needed, have taken action to improve the data from my facility.

35. Objectives Understand Data Application Understand What the Data Are and Are Not Indicating Understand “Random” When Applied to Audits

36. Questions