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Vermont Explor Annual Meeting

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Data Quality in 2003. New error thresholds (0% and 5%) Validation reports ... Pat Worcester, Caroline Dawson, Laurel Decher, Annette Rexroad. Data Corrections ... – PowerPoint PPT presentation

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Title: Vermont Explor Annual Meeting


1
Vermont Explor Annual Meeting
  • April 29, 2003
  • Randolph, VT

2
Welcome Introductions
3
Agenda
  • Highlights Issues in 2002
  • Data Quality in 2003
  • Presentations by BISHCA VDH
  • Error Thresholds (Steve Reynolds)
  • Personal Identifiers (Ken Kuebler)
  • HIDI web tool for corrections
  • E Codes
  • Outpatient Procedure Coding

4
Data Quality in 2002
  • Highlights Error Rates
  • Southwestern (lt0.33)
  • Porter Medical Center (lt0.75)
  • Fletcher Allen (lt3.0)
  • Northeastern (Some 0 months)

5
Data Quality in 2002
  • Not so Highlights
  • HCPCS (Missing)
  • Operating Physician (Missing)
  • Revenue Code (Duplicate)

6
Data Quality in 2003
  • New error thresholds (0 and 5)
  • Validation reports are important!
  • Improvements needed?
  • Correct errors before next submission!
  • New web-based correction tool

7
BISHCA Vermont Dept of Health
  • Dian Kahn, BISHCA
  • Charles Bennett, Epidemiological Surveillance
    Chief
  • Richard H. McCoy, Public Health Statistics Chief
  • Peggy Brozicevic, Public Health Statistics
  • Pat Worcester, Caroline Dawson, Laurel Decher,
    Annette Rexroad

8
Data Corrections
  • How much is enough?
  • Hospital work load vs. data quality
  • Statistical significance

9
Personal Identifiers
  • Ken Kuebler, Executive VP, Hospital Industry Data
    Institute, Missouri Hospital Association

10
Personal Identifiers
  • Why collect a personal identifier?
  • What identifiers are normally used?
  • How are identifiers kept secure and HIPAA
    compliant?

11
Personal identifiers can be used to
  • eliminate the need for re-admit flag
  • reduce E-code messages for accident patient
    follow-up visits
  • allow tracking of patients across hospitals and
    services for research and analysis

12
Types of Identifiers
  • The best identifier is one that a person uses
    consistently for identification purposes (e.g.,
    Social Security number, drivers license number).
  • An identifier built from a combination of
    existing data (e.g., date of birth, parts of
    name, ZIP code, sex).
  • An identifier built from a unique identifier
    (e.g., encrypted or sequential number). This
    translation would have to be performed in one
    office.

13
Keeping Identifiers Secure and HIPAA Compliant
  • Obtain confidentiality agreements from all users
    of the data.
  • Encrypt original I.D. and then destroy original.
    Keep encryption key at one location only.
  • Allow a minimum number of persons access to
    personal identifiers.

14
Breaks Are Good
  • Take 5!

15
HIDI Web Tool
  • Ken Kuebler, Executive VP, Hospital Industry Data
    Institute, Missouri Hospital Association

16
E Codes
  • Correct coding
  • Issues with error messages
  • Value to epidemiology surveillance

17
Outpatient Procedure Codes
  • ICD-9 vs. CPT-4
  • Coverage of the two code sets
  • Variation across settings
  • Precision
  • Grouping
  • Future trends

18
Conclusions Lunch
  • 2002 was a much better year than 2001
  • Timeliness has improved
  • Most of the important areas have few errors (dx,
    px, demographics)
  • Future focus logical consistency from quarter to
    quarter
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