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Increasing the probability of selecting efficient and accurate coders

Increasing the probability of selecting efficient and accurate coders. Debbie Abbott And Michael N Fox. State of play Coder workforce. University course closures Lack of qualified staff Niche market. ACTIVITY BASED FUNDING Increased need for coders Accuracy Efficiency Deadlines.

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Increasing the probability of selecting efficient and accurate coders

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  1. Increasing the probability of selecting efficient and accurate coders Debbie Abbott AndMichael N Fox

  2. State of play • Coder workforce

  3. University course closures • Lack of qualified staff • Niche market

  4. ACTIVITY BASED FUNDING • Increased need for coders • Accuracy • Efficiency • Deadlines

  5. REQUIREMENTS • Accuracy (KPI’s) • Efficiency • Experience • Ability to improve

  6. OFFSHORE: • Recruitment • Off shore on-line eg. India

  7. RECRUIT: • Incentives/packages • Recruit from interstate/other facilities • Find the ‘elusive’ coder

  8. EDUCATE IN-HOUSE: • Advantages • Disadvantages

  9. SELECTION: • Learning capabilities • Testing • Speed/accuracy • Coding • Psychological • Other sectors

  10. AVERAGE COST • $24,515.00 • (The COI Group, 2010)

  11. RECRUITMENT COST • Work Load • Exit Interview • Advertisements • Interviewing • Lost Productivity • Training • New Hire • Effort • INCORRECT CODING!

  12. SKILL SET: • Speed • Accuracy • Background • Medical terminology • Education • Age

  13. PERFORMANCE HELP MICHAEL!!

  14. ATTRIBUTES • Accuracy • Good problem solvers • performance

  15. Predictor of success

  16. HYPOTHESIS: Good speed and accuracy skills increase the probability of an efficient and accurate coder

  17. OUR EXPERIENCE: • Short list • Speed/accuracy test • Profile • Problem solving • Learning capabilities • Coding test

  18. PROBLEM SOLVING • Speed/accuracy • Problem solving • Reaction to stress

  19. MAJOR ASSESSMENT: • WAIS-R • MMPI-2 • 16 PF • SELF ADMINISTERED • OTIS • ACER

  20. Coder 1 • Average output • High accuracy • Pressure (crumbles) • Coder 2 • High output • High accuracy • Pressure (excels) • Coder 3 • Lower output • Highest accuracy • Pressure (learns to control)

  21. WHO WINS??? ANSWER: EVERYONE!!

  22. PRACTICAL EXAMPLE • Pre-course test • Education • Tutoring

  23. OTHER EXAMPLES: • Ernst and Young • Principals and Partners • Pressure • No supervision • Decision-making • Antartic Commission • Station leaders • QLD State Netball team • performance

  24. INVESTMENT • Best staff • Long term • Good outcomes

  25. BALANCE • Social • More productive • Realistic KPI’s • Happy • Long-term

  26. QUALITY SERVICE • Goal setting • Control arousal level • Functioning in a changing world

  27. HAPPY WORKERS

  28. CONCLUSIONS • Staff turnover • Output • Selection rate • Performance • ‘right tool for right job’

  29. Debbie Abbott (Resolutions) Pty Ltd 61 7 3849 6885 debbie@resolutionsint.com Michael Fox http:michaelnfox.googlepages.com

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