Big Data: Implications of Data Mining for Employed Physician Compliance Management Becker’s 2015 Annual CEO Roundtable November 18-19, 2015 Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 0 Big Data “Big-data initiatives have the potential to transform healthcare, as they have revolutionized other industries. In addition to reducing costs, they could save millions of lives and improve patient outcomes. Healthcare stakeholders that take the lead in investing in innovative data capabilities and promoting data transparency will not only gain a competitive advantage, but will lead the industry to a new era.” (McKinsey) Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 1 1 Agenda • Public relations and litigation risk from the public dissemination of data being harvested and aggregated by the government (e.g. Physician payment data, Sunshine Act regulations, discharge data) • Internal use of Broad Spectrum Analytics in Employed Physician Compliance Management • Determination of Risk Tolerance and Customizing Analytics that are “Outside the Box” • Benchmarking, Monitoring, and Defining Physician/Focused Risk Area Reviews Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 2 Big Data Trends • Trends in the use and public dissemination of healthcare financial, claims, and quality data – Publicly Available & Third party data • Federal Charge Data • State-level Charge Data • Physician and other Supplier Public use file • Broad Disclosure of Physician Payment Information under Sunshine Act • Public Use Files of Part C and D Reporting Requirements Data • Other Public or For Purchase Data Sources Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 3 2 Federal Charge Data • CMS has released hospital-specific data from 2011 comparing the charges for the 100 most common inpatient services and 30 common outpatient services • Inpatient DRG examples: – Heart Failure & Shock w cc – G.I. Obstruction w cc – Transient Ischemia Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 4 4 Federal Charge Data (con’t) • Outpatient examples: – Level III Endoscopy Upper Airway – Level I Nerve Injections – Level 1 Hospital Clinic Visits See http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-andReports/Medicare-Provider-Charge-Data/index.html Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 5 5 3 State-Level Charge Data • Numerous states also provide state-level charge data • The information and format varies • Examples: – Wisconsin, X Facility, Cesarean Delivery: $12,881 – Tennessee, All Facilities, Rotator Cuff Repair, Average Charge without another procedure: $23,483 – Oregon, X Facility, Esophagitis, gastroent & misc digest disorders w/o MCC, Average Charge: $8,546 Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 6 6 Physician and Other Supplier Public Use File • Physician and Other Supplier Public Use File released for the first time in April 2014 • Contains 100% of final-action physician/supplier Part B non-institutional line items for the Medicare fee-for-service population for CY2012 paid through June 30, 2013 Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 7 7 4 Physician and Other Supplier Public Use File (con’t) • Contains information on services and procedures provided to Medicare beneficiaries by physicians and other healthcare professionals, including: – Utilization – Submitted charges – Payment (allowed amount and Medicare payment) See http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-andReports/Medicare-Provider-Charge-Data/Physician-and-Other-Supplier.html Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 8 8 Broad Disclosure of Physician Payment Info under Sunshine Act • Manufacturers of drugs, devices, biologicals, and medical supplies, and some group purchasing organizations (GPOs), must report payments and other transfers of value to “covered recipients” which are defined as: – Teaching hospitals – Physicians (except physicians who are employees of the applicable manufacturer) • CMS must make information submitted in transparency reports and physician ownership reports publicly available on a searchable website Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 9 9 5 Public Use Files of Part C and D Reporting Requirements Data • Federal regulations require Medicare Advantage (MA) plans and Part D sponsors to report to CMS information on (among other things): – Enrollment and Disenrollment (Part C and Part D) – Grievances (Part C and Part D) – Special Needs Plans Care Management (Part C) – Organization Determinations/Reconsiderations (Part C) – Coverage Determinations and Exceptions (Part D) – Long-Term Care Utilization (Part D) – Medication Therapy Management Programs (Part D) – Redeterminations (Part D) Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 10 10 Big Data Trends • Other Government Data Sources – Medicare Fraud Strike Force Team – Data-Driven Quality Initiatives – Other Non-Public Government Data Sources • Government Uses of Data for Compliance and Enforcement – Adventist results Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 11 6 What Providers and Payers Can Expect • Scenario 1: Increased Media Exposure • Scenario 2: Linking Manufacturer Payments Data to Anti-Kickback Allegations • Scenario 3: Quality of Care FCA Litigation Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 12 Scenario 1: Increased Media Exposure See http://time.com/#198/bitter-pill-why-medical-bills-are-killing-us/ Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 13 13 7 Scenario 2: Linking Manufacturer Payments Data to AK Allegations • Expect qui tam relators to attempt to bolster complaints by “linking” physician payments to “increased” drug or device utilization in order to allege an Anti-Kickback Statute (AKS) violation Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 14 14 Scenario 2: Linking Manufacturer Payments Data to AK Allegations FRCP 9(b) & Big Data • Interplay of Rule 9(b) Motions to Dismiss and Big Data Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 15 15 8 Scenario 2: Linking Manufacturer Payments Data to AK Allegations Rule 9(b) Relator’s Counsel “In Their Own Words” “Sunshine data instantly provides qui tam attorneys a host of information that would have been impossible or very difficult to find before the Act. [One relator’s counsel] believes the information would, right off the bat, add credibility to a relator's allegations. Attorneys will be able to corroborate their client's allegations or confirm suspicions of widespread conduct by running a simply search.” Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 16 16 Scenario 2: Linking Manufacturer Payments Data to AK Allegations “At the very least, Sunshine data will provide facts to beef up a plaintiff's complaint. Rule 9(b) of the Federal Rules of Civil Procedure requires that for ‘alleging fraud or mistake, a party must state with particularity the circumstances constituting fraud or mistake.’ [One relator’s counsel] notes that the exact dates of transactions and the precise amounts of payments will add that required specificity.” See http://www.policymed.com/2014/02/physician-payment-sunshine-act-will-sunshine-datahelp-qui-tam-whistleblowers-and-their-attorneys.html Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 17 17 9 Scenario 3: Quality of Care FCA Litigation Linked To Data • Expect qui tam relators and/or government to contend payment structures and reporting measures set forth in various new quality programs materially affect payment and are thereby conditions of payment—and that violations triggers False Claims Act (FCA) liability Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 18 18 Scenario 3: Quality of Care FCA Litigation Data-Driven Quality Initiatives • Programs resulting from the Patient Protection and Affordable Care Act (PPACA), the American Recovery and Reinvestment Act (ARRA) as well as those initiated by OIG and CMS reflect an increased focus on quality • Health Information Technology for Economic and Clinical Health (HITECH) Act established the Electronic Health Record (EHR) Meaningful Use Program to provide financial incentives to providers to promote the adoption and meaningful use of certified EHR technology to improve patient care (ARRA, Public Law 111-5, Division A, Title XIII and Division B, Title IV) Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 19 19 10 Scenario 3: Quality of Care FCA Litigation Data-Driven Quality Initiatives (con’t) • PPACA establishes numerous quality-related programs, potentially exposing providers to increased liability for quality shortfalls; these include, among others: – Medicare Physician Quality Reporting Improvements: financial incentives and penalties for reporting or failure to report Physician Quality Reporting Initiative (PQRI) measures (PPACA §§ 3002, 3007) – Value-Based Purchasing Program: pays hospitals based upon how well they perform on specific quality measures (Id. § 3007) Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 20 20 Potential Review Results PQRS/QUALITY REPORTING DETAILED RESULTS PQRS Results Family Practice Internal Medicine Other Specialties Met Not Met PQRS code and/or ICD-9 code not documented Supporting ICD-9 or additional PQRS code should be reported A different PQRS code was documented No documentation received Corresponding CPT code not supported Modifier deficiency1 757 545 144 99 107 0 195 6 247 145 56 26 29 2 32 0 103 68 50 6 7 4 1 0 Of note, Not Met is counted per transaction or claim line versus the deficiencies listed which include transaction-level and component-level errors. Modifier deficiency is a component-level error; meaning that the error count in some instances may also be captured in one of the other categories. 1 Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 21 11 Real World Examples of Physician Compliance Risk 1. Overuse of -25 modifier 2. Overuse/exclusive use of high level E/M codes 3. Extremely high levels of production 4. Psychiatry time based codes and use of E/M codes with same 5. High utilization of specialty related services (Oncology, Cardiac) Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 22 How Can We Mitigate Risk? Think like a reporter, a qui tam relator, a MAC, MIC, ZPIC, RAC, DOJ and the OIG, etc. Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 23 12 Key Questions • Are you incorporating data sets in your compliance and internal audit activities? • Is data analytics a key part of your monitoring and auditing plan? • Are you assessing data analytics capabilities (or lack thereof) as part of your annual risk assessment? • Are you evaluating where you are amongst your peers? • If you are an outlier, is there a legitimate reason why, or do you need to mitigate an issue through corrective action? Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 24 Resources to Identify Most Significant Areas of Potential Risk • OIG Work Plan • OIG Semi-Annual Report to Congress • OIG Special Fraud Alerts • OIG and DOJ Announcements • Corporate Integrity and Deferred Prosecution Agreements • RAC Audits • RADV Audits • Complaints, Investigations, and Audits • . . . Your Gut! Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 25 13 Using Data Effectively • Considerations when designing an effective data analytics function: – Availability of data – Accessibility to the data – Timeliness to gain access to the data – Quality of the data – Expertise of those using the data – Corporate support for the program – Privacy and Privilege considerations Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 26 Making the information come to you… Physician Compliance Monitoring Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 27 14 Making Physician Compliance Manageable AND Meaningful Analytics Suite on All Employed Physicians Effective use of physician analytics allows a physician compliance program to be extremely detailed while remaining efficient and cost-effective. Targeted Physician Probes Focused Physician Reviews Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 28 Typical Areas of Focus Develop unique areas of focus, metrics to measure, and thresholds to assess compliance and risk. This is an active, fluid initiative. “CODING” • Area/Metric • Area/Metric • Area/Metric “PHYS ALIGN” • Area/Metric • Area/Metric • Area/Metric “REV $” • Area/Metric • Area/Metric • Area/Metric Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 29 15 Other Customized Analytics: Getting “Outside Of The Box” CODING PHYS ALIGN In addition to a number of analytics to evaluate certain “expected” areas of physician utilization (e.g., E/M bell curves), consider other topical ways to assess physicians based upon a customized list of targeted service areas to determine if “outlier” patterns exist. Some example focus areas include: • Critical Care Service Utilization • 25-modified E/M Services REV $ • Preventive Medicine Services (e.g., ratio of G-code to 9-code use) • Extended Discharge Day Management Services • Incident-to/Split Shared Services • Time Studies/Work RVU Analysis • EP Study Utilization • Long-term Drug Use ICD-9 Code Utilization Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 30 Physician Analytics Suite Examples Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 31 16 E/M Distribution (“Bell Curve”) Analysis CODING PHYS ALIGN REV $ Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 32 Benchmark Specialty Procedural Service Mix Analysis CODING PHYS ALIGN REV $ Specialty Benchmark Comparison PHYSICIAN Percent CPT/HCPCS Physician Codes Rank Appended CPT/HCPCS Brief Description 1 23% 99232 Subsequent hospital care 2 15% 99222 Initial hospital care 3 14% 99231 Subsequent hospital care 4 7% 99223 Initial hospital care 5 5% 63047 Removal of spinal lamina 6 3% 99233 Subsequent hospital care 7 2% 63048 Remove spinal lamina add-on 8 2% 22851 Apply spine prosth device 9 2% 22551 Neck spine fuse&remov bel c2 10 2% 99221 Initial hospital care 11 2% 61781 Scan proc cranial intra 12 1% 22614 Spine fusion extra segment 13 1% 22552 Addl neck spine fusion 14 1% 61312 Open skull for drainage 15 1% 22845 Insert spine fixation device Specialty Benchmark Comparison NEUROSURGERY Neurosurgery Benchmark Rank 8 16 7 13 28 21 12 14 37 24 17 46 33 Percent Neurosurgery of Total Benchmark Benchmark Rank Units CPT/HCPCS Brief Description 1 14% 99213 Office/outpatient visit est 2 7% 99214 Office/outpatient visit est 3 6% 99212 Office/outpatient visit est 4 5% 99204 Office/outpatient visit new 5 5% 99203 Office/outpatient visit new 6 4% J2323 Natalizumab injection 7 3% 99231 Subsequent hospital care 8 3% 99232 Subsequent hospital care 9 3% J0585 Injection,onabotulinumtoxinA 10 2% G8447 Pt vis doc use EHR cer ATCB 11 2% 99205 Office/outpatient visit new 12 2% 63048 Remove spinal lamina add-on 13 2% 99223 Initial hospital care 14 2% 22851 Apply spine prosth device 15 2% 99215 Office/outpatient visit est Physician Rank 63 55 3 1 7 4 8 - Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 33 17 Special Data Analytics for High Risk Concerns Targeted Physician Probes Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 34 New vs. Established Patient E/M Services Ratio Est Patient E/M to New Patient E/M PHYSICIAN Ratio Est Patient E/M to New Patient E/M BENCHMARK Percent Variance Physician A 1.3 3.6 177% Physician E 0.9 2.4 176% Physician I 1.7 3.6 112% Physician C 1.2 2.4 100% Physician B 3.2 4.0 25% CODING Physician REV $ Dashboard >=50% >=35% >=20% Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 35 18 Focused Benchmark Analysis: Modifier Use CODING PHYS ALIGN REV $ Modifier Use > 30% Above Benchmark Physician Modifier Use > 25% Above Benchmark Physician A 25, 80 Physician B 51 Physician C 51 51 Physician D 80 59 Physician E 25 22 Physician F 22 Physician G 25 Physician H 59 25 Physician I 80 59 Modifier Use > 20% Above Benchmark 25 Significant separately identifiable E/M service 59 Distinct procedural service 80 Surgical assistant 22 Increased procedural service 59 22 51 25 80 Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 36 Physician Productivity Analysis: Addressing Work Relative Value CODING PHYS ALIGN REV $ th Work RVUs as a % of Physician Specialty Work RVUs Weighted Average Work RVU per Unit 90 Percentile Work RVUs per MGMA Physician A Geriatrics 20,658 1.43 6,194 90 Percentile 334% Physician B Hospitalist 21,666 1.03 6,901 314% Physician C Endocrinology 16,232 0.94 6,801 239% Physician D Geriatrics 14,163 1.58 6,194 229% Physician E General Surgery 18,179 2.63 10,730 169% Physician F Gynecology/Oncology 16,233 1.24 10,775 151% Physician G OB/GYN 16,022 1.88 10,432 154% Physician H Gastroenterology 15,609 1.75 12,604 124% Physician I Hospitalist 9,244 1.80 6,901 134% Physician J Family Medicine 7,790 0.35 7,082 110% Physician K Plastic/Reconstructive Surgery 6,551 1.87 11,411 57% Physician L Psychiatry 3,819 1.34 6,189 62% th Dashboard >200% >150% >100% Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 37 19 Physician Productivity Analysis: Work RVUs CODING PHYS ALIGN REV $ Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 38 Place Of Service Impact Analysis The Office of Inspector General reports the following in its HHS OIG Work Plan for Fiscal Year 2014: CODING REV $ “Federal regulations provide for different levels of payments to physicians depending on where services are performed (42 CFR §414.32). Medicare pays a physician a higher amount when a service is performed in a nonfacility setting, such as a physician’s office, than it does when the service is performed in a hospital outpatient department…” SORTED BY CLIENT Billed in Non-Facility ($$) Setting Benchmark Billed in Facility ($) Setting CLIENT | Benchmark Place of Service Match Physician D 70% 30% Physician A 61% 39% Physician G 1% 76% Physician C 0% 100% Physician O 0% 77% Physician K 0% 51% Physician Dashboard Reimbursement Higher Based upon CLIENT Compared to Benchmark Place of Service Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 39 20 Non-Physician Practitioner (“NPP”) Collaboration “Probe” Analysis CODING Define physicians who may collaborate with NPPs to perform incident-to, split/shared E/M visit and post-operative follow-up services. PHYS ALIGN Physician REV $ SORTED BY Percent Billing Provider = MD and Rendering Provider = MLP Physician B 55% Physician A 47% Physician C 35% Physician D 33% Physician G 20% Physician K 15% Physician O 0% Dashboard >=50% >=35% >=20% Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 40 Benchmark Physician Time Study Analysis CODING PHYS ALIGN REV $ Physicians with “higher than expected” FTE-equivalent levels often collaborate with NPPs, nursing and other ancillary staff to engage in the work flow/practice patterns necessary to support high utilization levels. Total Professional Service Time (in Hours) FTE-Equivalent (Based upon 2,000 Annual Hours) Physician B 9,702 4.85 Physician A 9,616 4.81 Physician C 6,803 3.40 Physician D 4,995 2.50 Physician G 4,306 2.15 Physician K 4,211 2.11 Physician N 2,683 1.34 Physician O 2,386 1.19 Physician Dashboard >=3.0 >=2.5 >=2.0 <2 Best calculated using the current Medicare Physician Time Study and 2,000 total annual hours per full-time equivalent. Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 41 21 Gross And Net Revenue “Pulse Check” Analysis PHYS ALIGN Use data to gain a high level understanding of any potential areas of revenue “vulnerability.” REV $ Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 42 Outcome: “At A Glance” Reporting CODING PHYS ALIGN REV $ Specialty Physician Physician A Physician B Electrophysiology Physician C Physician D Physician E Physician F Physician G Physician H Physician I Physician J Physician K Interventional Cardiology Physician L Physician M Physician N Physician O Physician P Physician Q Physician R Total Work RVU Benchmark Comparison Total Work RVUs by Service Type Weighted Average Work RVU per Unit Productivity Total Days by Service Stability Probe Worked by Day Type E/M Services of the Week Average Daily Billed Service Hours by Day of the Week Benchmark Physician Time Study Analytics Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 43 22 Next Steps: Focused Physician Reviews Grading or Compliance Rate Considerations Feedback During Review Process Trending Corrective Action Plans No more annual 10 chart provider review compliance plan commitments!!! Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 44 Coding and Documentation Review Guidelines VS. Documentation • CPT • Explanation of Benefits • ICD-9-CM • CMS 1500 • ICD-10-CM • HCPCS • 1995/1997 Documentation Guidelines for E/M Services • Medicare/Medicaid/Other Gov’t • State and Federal • Medical Record Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 45 23 Coding and Documentation Review E/M Compliance Elements General Compliance Elements • Chief Complaint • CPT Selection • History of Present Illness • Modifier Usage • History Level • ICD-9 Selection • Review of Systems • Signature Compliance • Examination • Time-based code support • Past, Family and/or Social History • NPP/Midlevel Provider Compliance • Medical Decision Making level • Other agreed-upon regulatory or facility-specific areas of interest • Modifier Usage • NCCI/Bundling Compliance • ICD-10 Documentation Readiness Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 46 Potential Review Results INTERNAL MEDICINE SNAPSHOT – PHYSICIAN CODING DEFICIENCY FINDINGS (In Compliance Rate Order) 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00% 100.00% All Internal Medicine Physician A Physician B Physician C Physician D Physician E Physician F Physician G Physician H Physician I Physician J Physician K Physician L Physician M Physician N Physician O Physician P Physician Q Physician R Physician S Physician T Physician U Compliance Missing Provider Signature Not Documented Missed Opportunity to Bill Bundled Insufficient Documentation to Bill Overcoded Undercoded Inaccurate CPT/HCPCS Assigned Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 47 24 Potential Review Results COMPLIANCE RATES PER PROVIDER Fam ily Practice Provider Physician A Physician B Physician C Physician D Physician E Physician F Physician G Physician H Physician I Physician J Physician K Physician L Physician M Physician N Physician O Physician P Physician Q Physician R Physician S Physician T Physician U Physician V Physician W Physician X Physician Y Physician Z Physician AA Physician AB Physician AC Physician AD Physician AE Physician AF Physician AG Physician AH Physician AI Physician AJ Physician AK Physician AL Physician AM Physician AN Physician AO Physician AP Physician AQ Physician AR Physician AS Physician AT Physician AU Physician AV Internal Medicine Compliance 90% 89% 88% 86% 76% 75% 75% 74% 74% 73% 71% 71% 69% 69% 68% 65% 65% 65% 64% 63% 62% 61% 59% 59% 58% 58% 58% 57% 57% 57% 55% 54% 54% 53% 52% 52% 48% 47% 45% 43% 40% 38% 37% 35% 34% 33% 31% 24% Dashboard <60% 61-89% 90-100% Provider Physician A Physician B Physician C Physician D Physician E Physician F Physician G Physician H Physician I Physician J Physician K Physician L Physician M Physician N Physician O Physician P Physician Q Physician R Physician S Physician T Physician U Other Specialties Com pliance 83% 80% 79% 75% 75% 75% 75% 72% 68% 67% 65% 62% 61% 53% 45% 43% 40% 40% 37% 36% 20% Dashboard <60% 61-89% 90-100% Provider Physician A Physician B Physician C Physician D Physician E Physician F Physician G Physician H Physician I Physician J Physician K Physician L Physician M Physician N Physician O Physician P Physician Q Physician R Physician S Physician T Physician U Physician V Com pliance 85% 75% 71% 68% 66% 65% 63% 60% 60% 58% 53% 52% 50% 50% 40% 36% 30% 27% 24% 18% 7% 5% Dashboard <60% 61-89% 90-100% Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 48 Potential Review Results TOTAL AND SPECIALTY GROUPING ERROR COUNTS Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 49 25 Potential Review Results E/M CODING DETAILED RESULTS Family Practice E/M Coding Detailed Results Met Not Met Undercoded Insufficient Documentation to Bill Overcoded Not Documented Bundled Inaccurate CPT/HCPCS Assigned Missing Provider Signature 267 217 95 74 35 6 4 2 1 Internal Medicine E/M Coding Detailed Results 55% 45% 20% 15% 7% 1% 1% 0.4% 0.2% Met Not Met Inaccurate CPT/HCPCS Assigned Insufficient Documentation to Bill Missing Provider Signature Not Documented Overcoded Undercoded 127 81 2 13 1 17 39 9 Other Specialties E/M Coding Detailed Results 61% 39% 1% 6% 0.5% 8% 19% 4% Met Not Met Inaccurate CPT/HCPCS Assigned Insufficient Documentation to Bill Missing Provider Signature Not Documented Overcoded Undercoded 70 111 9 9 6 28 52 7 39% 61% 5% 5% 3% 15% 29% 4% Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 50 Potential Review Results PROCEDURAL CODING DETAILED RESULTS Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 51 26 Identifying Overpayments Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 52 Medicare Parts A & B: Identifying Overpayments Medicare Parts A & B • 60‐Day Overpayment Proposed Rule – 10-year look‐back period – Duty to take affirmative investigative action related to potential overpayments Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 53 53 27 Medicare Parts C & D: Identifying Overpayments Medicare Parts C & D • 60-Day Overpayment Final Rule – Six-year look-back period – “[I]f an MA organization or Part D sponsor has received information that an overpayment may exist, the organization must exercise reasonable diligence to determine the accuracy of this information, that is, to determine if there is an identified overpayment ... ‘‘day one’’ of the 60-day period is the day after the date on which organization has determined that it has identified the existence of an overpayment.” Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 54 54 Questions Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 55 28 Thank You! Denise Hall, RN, BSN Principal, Healthcare Consulting Pershing Yoakley & Associates, P.C. (404) 266-9876 dhall@pyapc.com Prepared for Becker’s 2015 Annual CEO Strategy Roundtable November 18-19, 2015 Page 56 29