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Vermont Explor Annual Meeting April 29, 2003 Randolph, VT
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Welcome & Introductions
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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
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Data Quality in 2002 Highlights – Error Rates Southwestern (<0.33%) Porter Medical Center (<0.75%) Fletcher Allen (<3.0%) Northeastern (Some 0% months)
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Data Quality in 2002 Not so Highlights HCPCS (Missing) Operating Physician (Missing) Revenue Code (Duplicate)
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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
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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
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Data Corrections How much is enough? Hospital work load vs. data quality Statistical significance
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Personal Identifiers Ken Kuebler, Executive VP, Hospital Industry Data Institute, Missouri Hospital Association
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Personal Identifiers Why collect a personal identifier? What identifiers are normally used? How are identifiers kept secure and HIPAA compliant?
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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
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Types of Identifiers The best identifier is one that a person uses consistently for identification purposes (e.g., Social Security number, driver’s 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.
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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.
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Breaks Are Good Take 5!
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HIDI Web Tool Ken Kuebler, Executive VP, Hospital Industry Data Institute, Missouri Hospital Association
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E Codes Correct coding Issues with “error” messages Value to epidemiology & surveillance
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Outpatient Procedure Codes ICD-9 vs. CPT-4 Coverage of the two code sets Variation across settings Precision Grouping Future trends
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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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