AUTOMATIC CODING SYSTEMS FOR MORTALITY DATA Prague, Czech Republic, June 3 - PowerPoint PPT Presentation

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AUTOMATIC CODING SYSTEMS FOR MORTALITY DATA Prague, Czech Republic, June 3

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Prague, Czech Republic, June 3 5 2004 The Implementation of Automatic Coding in Scotland Graham Jackson General Register Office for Scotland Factors influencing ... – PowerPoint PPT presentation

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Title: AUTOMATIC CODING SYSTEMS FOR MORTALITY DATA Prague, Czech Republic, June 3


1
AUTOMATIC CODING SYSTEMS FOR MORTALITY
DATAPrague, Czech Republic, June 3 5 2004
2
The Implementation of Automatic Coding in Scotland
  • Graham Jackson
  • General Register Office for Scotland

3
Factors influencing the change to automatic coding
  • The migration from mainframe to PC-based
    processing of vital events data required a major
    rewrite of all the relevant software
  • The development by NCHS of a PC-based version of
    their automated coding software
  • The increased use of electronic registration
    software (SRS) in local registration offices

4
Key objectives
  • Improved consistency in the standards of coding
  • Increased comparability - both within the UK and
    internationally
  • Potential for multiple cause coding
  • Faster processing
  • Potential staff/cost savings

5
NCHS software components
  • Super-Micar
  • MICAR
  • ACME
  • TRANSAX

6
Scottish differences
  • Super-MICAR not used for data entry
  • Data grooming
  • The Super-MICAR spellchecker dictionary has been
    anglicised
  • Additional validation checks
  • Medical enquiries
  • Only ten entity/record axis codes stored

7
Hardware software
  • System developed using CA Open Road
  • Ingres relational database
  • Sequent unix server
  • TCP/IP over a Novell network
  • Windows PCs

8
Developments since 1996
  • Keying of records now reduced to 1 per cent
  • A new medical certificate of cause of death,
    including a fourth line in Part I, was introduced
    in 1999.
  • Moving from the DOS, ICD9, version to the
    Windows, ICD10, version of ACS
  • Year 2000 testing of all our systems
  • More structured quality control

9
Benefits
  • Improved consistency
  • Increased comparability
  • Potential of multiple cause analyses (as yet this
    has not been exploited much)
  • Faster processing
  • Staff savings

10
Problems
  • Some initial delays
  • Coding problems
  • Problems with specific words
  • All were minor

11
Future plans
  • More analysis of the data (including multiple
    causes)

12
AUTOMATIC CODING SYSTEMS FOR MORTALITY
DATAPrague, Czech Republic, June 3 5 2004
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