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Briefing: Data Quality for the Army Patient Administration Systems and Biostatistics Activity (PASBA). Date: 24 March 2010 Time: 1400–1450. Objectives. Introduction Data Quality Attributes Why Care About Data Quality How Data is Used and Who Uses PAD Issues
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Briefing:Data Quality for the Army Patient Administration Systems and Biostatistics Activity (PASBA) Date: 24 March 2010 Time:1400–1450
Objectives • Introduction • Data Quality Attributes • Why Care About Data Quality • How Data is Used and Who Uses • PAD Issues • Data Quality Management Control Program Measures • Data Quality Metrics • Conclusion
DataQuality Timeliness Accuracy Completeness Consistency DQMC Program Data Quality Concepts Juggling between all – tying them together
Attributes of Data Quality Correctness or Validity Reliability Completeness Legibility Currency Timeliness Meaning Accessibility
Why Care About Data Quality? Customer satisfaction Continuity of care Inability to provide feedback to clinicians on their practice patterns and efficiency Inability to identify systemic problems High and unnecessary cost Provide the legal defense for patients, providers and the MHS Impacts on future benefits and/or continued VA care Leadership decision making Support training and education
Data Quality and Workload Accountability Productivity Money Access to Care No Documentation No Codes No Visit Credit • Less records coded equals decreased visit credit • Decreased patient visits indicates less providers • needed and less support staff for providers
Data Utilization Provides data for planning, managing, and evaluating the AMEDD medical care system Medical and epidemiological research Data retrieval in response to inquiries from senior leadership Management reports and special retrievals for MTF/RMC/MEDCOM/CENTCOM/JTF Use the data
Who is Looking at your Data? Utilization Management , Budget Decrements (Production Based Adjustment Model) TSG Monthly Workload reporting MTF /DCA Report Card Daily Review of All Deployment Data – CENTCOM and JTF TMA DoD
Common PAD Related Errors • Incorrect SSNs • Incorrect names • Incorrect register numbers • Demographics not matching on all documents in record • Record jackets not matching documents inside • The above areas are especially difficult to resolve for deployed activities, as there are less demographic verification processes
DQMC Program Compliance Standards • Metric Standards (colors) are as follows: • Green – 95-100 • Yellow – 80-94 • Red – 0-79 • Except for 8e and 9, which is Green for 80 and above • 3c, 3d, and 10a do not yet have a standard – uncolored • Metric colors • Generally move from red status to green status over the fiscal year, indicates data quality matures over the year • Sometimes “RED” is good, revealing a system wide problem • Sometimes there is no coloring to indicate a new question or one for which a goal is not established
