June, 2016 Patsy Raworth, RHIA AGENDA: History of Program New Box Results 1994 DRG Review - external Physician Advisors 1996 Begin training internal Physician Advisors DRG Coordinators and Utilization Review o Collaborative Effort o Reorganized Department o Case Management, UR, Quality and HIM o Dollar Storm o Length of Stay o CMI o DRG Review 1.8 1.6 1.4 Physician Advisors Combined efforts of DRG EPF Implementation begin (3/96) Coordinators and Utilization Review HCFA Rel Wt Adjustments October Clinical CDI 1.2 1 Huff begins (3/95) Merged QR, Social Work ARMS MBMC Case Mix Index 7/94 - present All Financial Classes 0.6 0.4 HCFA Relative Weight Adjustments (October) EPF Implementation 0 HDM DRG Coordinators took on the role of Quality Abstracting (10/01) 0.8 0.2 SMART MS-DRG DRG Assurance Physician Engagement: Identifying Documentation Improvement Opportunities Determine parameters for Benchmark (Facilities, Benchmarking parameters for Cohort comparisons) Pull Benchmark reports for member and benchmark data (MS-DRG Group Opportunities & Code Level Opportunities) Save reports in tool Identify variances in CC/MCC capture rate & select high priority DRG's Vet Secondary Dx that Cohort is utilizing Perform chart review (if necessary) Have conversations with clinical staff around Secondary Dx gaps Record and summarize results Create education collateral (tip sheets, presentations, etc.) Track results Capture Underpayment Opportunities Save reports in tool Select high priority Risk Targets for deeper examination & risk mitigation efforts Use CDI and coding knowledge to determine extent of actual risk Perform chart review (if necessary) Update (or create) queries and institutional processes based on data Create education collateral (tip sheets, presentations, etc.) Work with key physicians to ensure thorough documentation Track results o Steering Committee o o o o o o o Physician Advisor - only focus Chief Executive Officer Chief Medical Officer Chief Financial Officer Chief Operating Officer Executive Director of Revenue Cycle HIM Director o Monthly Meetings o Benchmarks 9-1-2015 Rounding ◦ Specific Specialties Critical Care Cardiology Hospitalists Family Medicine With rounding charts will need to be updated daily. ◦ Admission – discharge or transfer Discuss the case with the physician. If you don’t know what something is – find out! Be prepared IT IS NOT ABOUT YOU or YOUR DECISIONS. This is your world –not theirs. You are the expert AND the educator. Defensiveness weakens your position The Process ◦ CC/MCC Capture ◦ Query Process ◦ CMI CC/MCC Capture rate Physician Response rate Unspecified Code usage 1.85 1.8 MBMC Dollar Storm Case Mix 1.75 1.7 1.65 1.6 1.55 1.5 1.45 1.4 MBMC CMI MCC/CC Capture Rate 100 90 80 70 60 Surgical Capture Rate Surgical Capture Goal 50 Medical Capture Rate Medical Capture Goal 40 30 20 10 0 Dec-14Jan-15Feb-15Mar-15Apr-15May-15Jun-15Jul-15Aug-15 Sep-15Oct-15Nov-15 Dec-15Jan-16Feb-16Mar-16Apr-16May-16 Query MD Title Pts w/Query # MD Queries # Withdrawn # MD Responses # MD No Response % MD Response Rate A 7 9 2 4 3 57 B 4 9 0 5 4 56 C 9 14 1 7 6 54 D 3 5 1 2 2 50 E 2 4 0 2 2 50 F 4 4 0 2 2 50 G 9 14 1 5 8 38 H 5 7 0 2 5 29 I 3 5 0 1 4 20 J 9 11 0 1 10 9 Mississippi Baptist Health System – Unspecified Code Usage Unspecified Code Usage across Project Details • The last three months are showing a slight increase in unspecified code usage. • Methodology includes identifying top specialties with unspecified code usage to focus educational efforts. Six Month Trend – All MBHS 26.00% 24.00% – CMI improvement across transition: • All Payer: 22.00% – Nov ‘15: 1.70 – Dec ‘15: 1.77 – Jan ‘16: 1.78 20.00% November – Feb ‘16: 1.72 – Apr ‘16: 1.68 – Pediatrics as a whole saw a large improvement this month dropping almost 9% from March to April. – Pediatric Gastro continued a small upward trend. January February March April Specialties with Highest Unspecified Code usage in Oct-Dec 2015 (compared against Jan-Apr 2016) – Mar ‘16: 1.77 • Specialty Level Observations December Date Comparison Pediatric Gastro Pediatrics Jan - Apr Oct - Dec Acute Care Emergency Medicine Family Medicine 0.0% 10.0% 20.0% 30.0% 40.0% 1 – IP Claims only 2 – Specialties with at least 100 claims each month Unspecified Code Usage – Hospitalist Drill Down1 Specialty Highlight: Hospitalists 30.00% 25.00% 20.00% 15.00% MBHS Cohort Apr-16 Mar-16 Feb-16 Jan-16 Dec-15 Nov-15 Oct-15 Sep-15 Aug-15 Jul-15 Jun-15 May-15 Apr-15 Mar-15 Feb-15 Jan-15 Dec-14 Nov-14 Oct-14 Sep-14 Aug-14 Jul-14 Jun-14 10.00% May-14 • While both the organization and hospitalists are maintaining an unspecified code usage rate lower than the cohort, Hospitalists are seeing a larger uptick. 35.00% Apr-14 • The decline in unspecified code usage in October is consistent with the cohort. Hospitalists Compared to MBHS Average1 Mar-14 • This chart represents the percentage of all unspecified codes used (PDx, SDx, or Px). Hospitalists 1 – IP Claims discharged 10/13-9/14 and 10/14-9/15 Unspecified Code Usage – Hospitalist Drill Down (continued) ICD-10 Transition Comparison 50% 45% Feb 40% Mar 35% 30% Apr 25% MBHS Avg (Apr) 20% 15% Spec. Avg (Apr) 10% 5% 0% Individual Physician Performance March Top Unspecified PDx Codes Used1 April Top Unspecified PDx Codes Used1 Sepsis, unspecified organism Sepsis, unspecified organism 27 23 Gastrointestinal hemorrhage, unspecified Acute kidney failure, unspecified 12 82 8 11 Unspecified bacterial pneumonia 71 Noninfective gastroenteritis and colitis, 9 Pneumonia, unspecified organism 8 Other individual codes (53) Unspecified bacterial pneumonia 9 9 unspecified Acute kidney failure, unspecified Other individual codes (53) 1 – IP Claims only Unspecified Code Usage – Cardiology Drill Down ICD-10 Transition Comparison 35% Feb 30% Mar 25% 20% Apr 15% 10% MBHS Avg (Apr) 5% Spec. Avg (Apr) 0% BELLAN BENSLER FIGUEROA FYKE HARPER LAWSON REYNOLDS Individual Physician Performance March Top Unspecified PDx Codes Used1 THORNE 1 WATERER April Top Unspecified PDx Codes Used1 1 1 WARNOCK ST elevation (STEMI) myocardial infarction of unspecified site Hypertensive heart and chronic kidney disease with heart 2 failure ST elevation (STEMI) myocardial infarction of unspecified site Cardiac arrest, cause unspecified 3 1 1 Atherosclerotic heart disease of native coronary artery with unspecified angina pectoris Nausea with vomiting, unspecified Unspecified atrial fibrillation 1 – IP Claims discharged 10/13-9/14 and 10/14-9/15 Unspecified Code Usage – Pulmonology Drill Down 30% 25% Feb 20% Mar 15% Apr MBHS Avg (Apr) 10% Spec. Avg (Apr) 5% 0% Individual PhysicianRappai Performance McGee March Top Unspecified PDx Codes Used1 April Top Unspecified PDx Codes Used1 Pneumonia, unspecified organism 7 Sepsis, unspecified organism 13 2 Sepsis, unspecified organism 3 6 Bacterial meningitis, unspecified 2 Unspecified asthma with (acute) exacerbation Gram-negative sepsis, unspecified Unspecified bacterial pneumonia Streptococcal sepsis, unspecified 4 Cannon 5 Other individual codes 2 2 Pneumonia, unspecified organism 2 Other individual codes 1 – IP Claims for November CMI Trend1 MBHS CMI vs Cohort 1.90 1.80 1.70 1.60 1.50 1.40 1.30 1.20 1.10 MBHS May-16 Apr-16 Mar-16 Feb-16 Jan-16 Dec-15 Nov-15 Oct-15 Sep-15 Aug-15 Jul-15 Jun-15 May-15 Apr-15 Mar-15 Feb-15 Jan-15 Dec-14 Nov-14 Oct-14 Sep-14 Aug-14 Jul-14 Jun-14 May-14 Apr-14 1.00 Cohort 1 – Cohort includes 350-500+ Acute Care Hospitals in the South/Southeast region • • • • • Query providers for Severity and Acuity Develop or engage a 3rd party in providing education on APR-DRG’s and Risk Adjustment Implement the APR-DRG as part of the Coding and CDI processes to prepare for Pay for Performance and risk-adjusted payment methods. Create reports for physician audiences that are sensitized to patient acuity, SOI/ROM and Clinical Outcomes. Train physicians in APR-DRG methodology and documentation for risk-adjustments APR-DRG 1.4300 1.4200 1.4100 1.4000 1.3900 1.3800 APR-DRG 1.3700 1.3600 1.3500 1.3400 1.3300 1.3200 Sept Oct Nov Dec Jan Feb Mar Apr Methodology: Oct ’15 – Dec ‘15 All Physicians System Comparison • • • Learning from “One of their Own” Physicians Enhance Documentation Efforts Challenge: Complications of care is both a reflection of physician practice and documentation. The connection that exists between these two important indicators is not always clear to physicians and can be a challenging area to inflect positive change. Solution: MBHS took a twopronged approach to reducing complications of care. Starting with physician education, they began using the complications of care metric as part of their monthly evaluation of practice patterns. We hired a credentialed physician to serve as a documentation advisor connecting the coders and the doctors. Impact: *Using a $60 per .01 increase in CMI, enhanced documentation resulted in $1,602,000 potential increased reimbursement in Q4 2015 (5340 cases). Impact Highlights $1.6M* Potential reimbursement impact from increased CMI -0.15% Reduction in Complications of Care Leverage Product to assist in education and reports • Utilize Physician analytical tool and Revenue Cycle optimization application in collaboration for tools, benchmarks and measure of success. • Develop APR-DRG report and incorporate into CFO dashboard • Educate Physician Advisor and CDI team lead in APR-DRG • Cascade education to Physicians and CDI staff • Develop new tools and reports for physician engagement • Maximize Revenue: Improve CMI and CC/MCC Capture Rate • Identify secondary codes and physicians within service lines and DRG groups to target Pinpointing: 329-331, 219-221, 981-983, 469-470 • Educate physicians and coders based on trends and monitor improvement Improve Documentation Accuracy: Reduce Unspecified Code Utilization • Identify opportunities for improved specificity within service lines, physicians, and codes Pinpointing: Surgery, Pulmonology, Orthopedic Surgery, Cardiovascular Surgery Improve Efficiencies: Manage audit workflow and improve processes • Identify required reporting fields through data exception reports in ROC • Monitor reports for data irregularities • Organize internal meetings to discuss opportunities for consistent data entry
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