1 TMA DQ Program Overview 28 August 2007. 2 DQ Management Control Program - Purpose To provide an overview on the Data Quality Management Control (DQMC)

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Presentation transcript:

1 TMA DQ Program Overview 28 August 2007

2 DQ Management Control Program - Purpose To provide an overview on the Data Quality Management Control (DQMC) Program in the MHS for FY2007 to MHS Data Quality Management personnel Implementation 1 Dec 00 (FY01)

3 DQ Management Control Program Department of Veterans Affairs (VA) FY 2005 Performance and Accountability Report, 15 November 2005 “VA’s ability to accomplish its mission is dependent on the quality of its data. Each day, VA employees use data to make decisions that affect America’s veterans. In delivering medical care, processing benefits, and providing burial services, data accuracy and reliability are paramount. Each program office has initiated specific actions to improve data quality to better support business planning and day-to-day decision-making. In addition, the Office of the Inspector General (OIG) has conducted audits to determine the accuracy of our data. We consider OIG reviews to be independent and objective…describes in detail the actions each VA administration has taken to improve its data quality.”

4 Overview This Morning…. Data Quality Concepts Background Program and Metrics External Audits Current Status/Updates POCs and Resources

5 Data Quality Concepts Attributes… Accuracy CompletenessConsistency Timeliness

6 Why Worry about Data Quality? One reason is external scrutiny... IG GAO Audit Agencies Congress

7 Problems with Information Technology Typically, Data Quality is formulated as an IT problem.. –Some of our problems with data quality can be attributed to problems with Information Technology (IT). –Examples: Errors in transmission of data. Errors in processing data. Unsynchronized databases. But… –The most difficult problems we face with data quality are not directly attributable to IT, nor readily fixed by IT solutions.

8 Non-Technological Problems Just a few examples of non-IT problems causing problems with data quality... –Lack of standardized business rules and policies. –Inconsistent choices of codes, weights, and algorithms. –Lack of adequate training and education. –Lack of adequate local data quality assurance. –Failure to set and enforce tough performance expectations about data quality.

9 Why is this Important? Consequences of an incorrect diagnosis or an overly simplistic formulation of the problem… –Treat only part of the problem. –Don’t treat serious problems that need fixing. –Responsibility, accountability, resources in the wrong places.

10 Complex Paradigm for a Complex Problem Business Leadership Human IT Business Human Business Human IT Business IT Human

11 Establish Leadership Emphasis Extremely important in establishing good data quality… –Data quality must matter to commanders at all levels. Establish and enforce performance expectations. Must emphasize Data as Fundamental Business Bookkeeping.

12 Locked in a Vicious Circle The Data are No Good The Data are Not Valued No Investment in Quality Poor Quality Data Sent

13 Business/IM Relationship We need to know our business before we can automate our business… –Program Management Office Enrollment & Patient Appointing. Managerial Cost Accounting. Uniform Business Office and Third Party Collections. –Information Management Defines Integrated Set of Requirements. –Standardization. Business Rules and Practices. Design and Use of Systems and Data.

14 Training and Education Our people have to understand both the business and the technology… –Data Quality Training Course. Aimed at data quality managers and others. –Education: Quality data requires more than training data-entry personnel MEPRS Application & Data Improvement (MADI) Working Information Systems to Determine Optimal Management (WISDOM) Physicians and Coding.

15 Solutions-Feedback To effectively fix data problems, Commanders and users need reasonable feedback… –Metrics: Fast feedback to Commanders about the quality of their data. –Rapid availability of data for use.

16 Information Technology –Complete redesign of Corporate Information Systems. Synchronization of databases. Consistent engineering of data paths from source to central repository. Quality control built into data feeds. –Redesign of user interfaces. –Elimination of Human Interfaces between Systems.

17 DQ Management Control Program - Background Department of Defense INSTRUCTION Regulatory Guidance DODI Military Health System Data Quality Management Control Procedures

18 DQ Management Control Program Background DoDIG identified material management control weakness for MHS - Directed development of data quality assurance and management control program. DoD Inspector General report concerning the FY98 retirement liability estimate. GAO Medicare subvention demonstration report. ASD(HA) concurred with DoDIG material management control weakness findings. ASD(HA) designated TMA Resource Management Steering Committee to oversee the development of an MHS DQ Management Control Program.

19 DQ Management Control Program Background (Cont’d)  TMA Executive Director directed formation of a DQ integrated process team (IPT).  Development of DQMC involved multiple working groups to include major system representatives.  DoD comptroller, DoDIG, and GAO provided oversight in its development.  Program has been staffed through the Services with substantial input from the field (Region 11 MTFs).  Policy memorandum signed on 29 Nov 00 for implementation on 1 Dec 00. Subsequently updated by policy memorandums dated 9 May 01, 17 Oct 01, 5 Sep 02 and DoDI dated 26 Nov 02.

20 DQ Management Control Components of Program  Data Quality Manager and Data Quality Assurance Team.  DQMC Review List - Internal tool to assists MTFs monthly in identifying and correcting financial and clinical workload data problems. This list is prepared by the Data Quality Manager and Data Quality Assurance Team.  Commander’s Monthly Data Quality Statement – Specific information from the DQMC Review List that the commander approves for forwarding to Service DQ managers and the TMA Management Control Program Manager.

21 Critical Success Factors Active Leadership Involvement Data Quality Managers Data Reconciliation and Audits Use of Data/Metrics by the MTFs Timely Coding/End- Of-Day Processing Rapid Feedback File/Table Build Data Base Management DQ Management Control Components of Program

22 DQ Management Control Components of the Program Commander’s Statements are received from Services on the 10th of the month for the preceding month. A summary “Barber Pole” along with supporting charts are constructed for briefs to both the Resource Management Steering Committee on a monthly basis and TMA Senior Leadership and Service DSGs Quarterly. These charts along with an updated “Hard Spots List” are distributed to the Service DQMC POCs for their monthly meeting at TMA-MC&FS. Service and TMA-Wide issues are discussed and documented at these meetings. Mr. David Fisher, Director of Management Controls & Financial Studies, Office of the CFO, TMA POC.

23 DQ Management Control Program Service Metrics FY2007 The following General Comments, “Barber Pole”, and Charts outline the summarized results of the Data Quality Commander’s Statements submitted by each Service for Mar 07 (Data Month Jan FY2007). Metric Standards (colors) are as follows: Green Yellow Red

24 : DQ Management Control Program : How are we doing this year? See attached Excel Worksheets-Below is an example

25 DQ Management Control Program Working Group Metrics

26 DoDIG Results (Apr 01-Oct 01) Report Signed 29 Aug 02 DQ Management Control Inspections/External Audits

27 DQ Management Control Program DoDIG General Comments (01)  Overall indifference toward the program.  Lack of communication and timely feedback to identify shortfalls in performance.  Inadequate preparation and training of the DQ Team for completion of the Control Review List.  Lack of monitoring to ensure proper implementation of the program.

28 DQ Management Control Program DoDIG MTF Specific Comments  Responses to the Commander’s Statements and Control Review Lists are unreliable. Need audit/- validation of responses in the Commander’s Statement/Review List.  Lack of audit trail - no supporting documentation.  Lack of accountability.  Lack of training.  Inadequate dedication of resources to data quality.

29 DQ Management Control Program Concerns  Prevents DHP and OSD from receiving a “Clean Audit Opinion.”  Puts future DHP funding in jeopardy.  Puts Prospective Payment in jeopardy.  Third Party Collections (TPC) placed in jeopardy.  Jeopardizes remaining Managed Care Support contract BPAs/REAs.  Jeopardizes MTF Accrual Financing Reimbursement.

30 DQ Management Control Management Plan (Jul 01)  DoDIG (Service Directs) - Memo signed 17 Oct 01  Clarify DQMC Review List Questions. - Service initiative began work on 13 Jul 01 - Completed  Training  Web-Based Solution - Enhance current DQ/DQMC Web- Site i.e. FAQs etc. - Completed  Current Quarterly Data Quality Training Class - Completed  Compliance Monitoring (Service IG, IC, Audit Agency, ARS Bridge Confirmation) - Memo signed 17 Oct 01  MTF Visibility and Feedback - Memo signed 17 Oct 01

31 DQ Management Control Program Management Plan (Cont’d) Leverage Service Data Analysis Capability (Army PASBA etc.) - Working/Discussed at DQMC Meeting  “Low Hanging” Enhancements (e.g. CHCS Workload Accounting Enhancements, Automated Reporting) - Funded  Investigate Coding Improvement initiatives - Working  Continue EAS-IV Implementation Oversight - Working  “Spread the Word” - Brief DQMC Program at Various TMA and Service-level events.  DQMC Program incorporated into a Department of Defense Instruction (DoDI) – 26 Nov 02

32 DQ Management Control Program External Audit Results

33 DQ Management Control Program Findings CY02 Unavailability of records (47%). Specific encounter not found in 9% of the records. Coded incorrectly, 27%; 70% over coded, 30% under coded. Coded correctly, 17%. Advancemed – Similar results Availability of records (9%). Iowa Foundation - 50 sites, 11,254 cases

34 DQ Management : Control Program : External MHS Targeted Coding Audit

35 DQ Management : Control Program : External MHS Coding Audit

36 DQ Management Control Program Modalities 07 Plan AHLTA Implementation/Prospective Payment System Training (490 at DQ Course FY03 – YTD) 810+ briefed at MEPRS Confs. Taught Navy PAD, UBO/UBU Confs. Mini MADI/M2 Primer Course Annual Data Quality Commanders’ Statement Update AHLTA, CCE, and DMHRSi added Clarification of Coding Audit Criteria Clarification of DD Form 2569 (OHI Questionnaire) Electronic Health Record/Digital Signature Inpatient Coding Question Expansion Addition of AHLTA Penetration Question Internal Compliance, External Evaluation Memo to Assistant Secretaries for M&RA (IG/Audit Service) MHS External Coding Audit Contract

37 DQ Management Control Program Service Data Quality Managers Army - Mr. Tim Bacon Telephone: (210) DSN 421 Navy - Ms. Jane Cunningham Telephone: (202) DSN 762 USAF - TSgt Jody Callender Telephone: (703) DSN 761

38 DQ Management Control Program TMA DQ Website

39 DQ Management Control Program Benefits Availability of records provide the communications link between providers; continuity of care. Record/coding provides evidence of treatment, supports budget, reimbursement, billing. Record/coding supports training and education. Record/coding facilitates quality assurance processes. Record provides the legal defense for patients, providers, MHS.

40 An Ongoing Challenge Human IT Business

41 DQ Management Control Program How Can You Help  Brief medical staff on command data.  Executive Steering Committee  Department and Division Heads  Develop Dashboards.  Provide feedback to staff.  Be well-read/knowledgeable in data quality.  Reporting  Analysis  Network and share information.

42 Questions Questions?

43 MEPRS Data Quality Tools TMA MEPRS Program Office Management Control and Financial Studies Division MEWACS S2M3

44 Objectives: oUse MEPRS Early Warning and Control System (MEWACS) to reconcile data and identify data quality issues oUnderstand purpose of Six Sigma MEPRS Management Metrics (S2M3) and how to use the tool to gauge discrepancies.

45 MEPRS Early Warning and Control System (MEWACS)

46 Data Load Status

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50 Summary Outliers

51 Clicking on the outlier month will take you to MTF Data Profiles

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54 WWR/EAS IV

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56 WWR/EAS IV Outliers

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58 Allocation Test and Detail

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61 Cost per Data

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63 Six Sigma MEPRS Management Metrics (S2M3)

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67 S2M3 Graph 1 S2M3 Graph 2

68 S2M3 Graph 3

69 Questions? TMA MEPRS Program Office Management Control and Financial Studies Division MEWACS S2M3