All-Payer Claims Database ConferenceJo Porter, MPH

October 14, 2009

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Why Standardization? Implications for data collection, data

release, meta rules development, and tools development

Resources to be saved Data submitters Data collectors Data users

Implications for the research agenda

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Data SubmissionGOAL: Consistency in collection

standards, codes, methodology to create interstate comparability in the data and reduce costs for submission and release of data

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Resources To Be SavedFor data submitters (payers):

Uniform and consistent coding with national requirements (ASC X12N standards) for data submission substantially reduces programming costs

Less government relations resources used with uniform reporting requirements

Potential for inequitable geographic operational costs reduced

Payers could optimally submit one file vs. 50 Payers could use standard files for self-funded

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Resources To Be SavedFor data users:

Data consistency allows for consistent and accurate interstate / national comparisons using a large volume of data

Preparation time and costs greatly reduced accessing data files

Shared tools and analysis code

Proposed Process3 Stage Process

Stage 1: Assess what data elements are captured, and how, for existing and developing state systems

Stage 2: Build consensus among working group members about data elements and definitions

Stage 3: Bring the consensus standards to a formal standards organization

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Resources & Contact InformationRegional All Payer Health Information

Council (RAPHIC): www.raphic.orgNational Association of Health Data

Organizations (NAHDO): www.nahdo.org

Jo Porter, University of New Hampshire / RAPHIC, jo.porter@unh.edu