• Save
Working Toward Automated Coding in General Practice
Upcoming SlideShare
Loading in...5
×
 

Working Toward Automated Coding in General Practice

on

  • 603 views

Stephen Lean

Stephen Lean
School of Engineering and Advanced Technology
Massey University
(P35, 16/10/08, Coding stream, 3.50pm)

Statistics

Views

Total Views
603
Views on SlideShare
603
Embed Views
0

Actions

Likes
0
Downloads
0
Comments
0

0 Embeds 0

No embeds

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Working Toward Automated Coding in General Practice Working Toward Automated Coding in General Practice Presentation Transcript

  • Working Toward Automated Coding in General Practice A Work in Progress
  • Background
    • Electronic Medical Record (EMR) coding at PHC level in NZ.
      • What is coding and what is used?
      • Why is coding carried out?
      • How is coding carried out and by who?
  • Open Problems
    • Two main issues arising from coding.
      • It is a purely manual process requiring the GP to spend considerable time reviewing the record and selecting a code to apply.
      • Non-standardised approach to coding leads to inconsistencies in the way codes are applied e.g. the same patient visit may be coded differently by two different GP’s.
    View slide
  • Open Problems - Consequences
    • Time spent coding by GP’s would be much better spent seeing patients.
    • Non-standardised coding leads to a loss in quality of medical records.
    • Only increasing requirements from the Ministry of Health for coding so issues, if left unattended, will only be magnified.
    View slide
  • Project
    • Use an IT system to analyse the free text content of EMRs with the intention of using NLP techniques to automatically identify potential codes for the record.
    • The idea here is to:
      • Reduce the time GP’s spend coding.
      • Standardise the application of codes.
  • Main Concept for Development
    • Apply annotations to concepts from the free text.
    • Abstract away from the raw text where the proposed system would then operate over a set of annotated concepts.
    • Utilise these annotated concepts, or combination thereof.
  • Annotations - Example
  • Results
    • Prototype design only implemented to a rudimentary level of functionality.
    • Progress and knowledge gained was encouraging and shows promise.
    • Probably not feasible to create a set of rules that provide coverage of all potential coding outcomes.
  • Results
    • Implementation of a logical reaction to the firing of rules, based on pattern recognition within text and patterns from within the graph of annotations, is a very complex issue.
    • Issues encountered:
      • No direct access to vocabulary of codes.
      • Lack of access to actual medical records.
      • Time and resources i.e. one person over six months.
    • Design decisions were affected by these issues.
  • Conclusions and Future Work
    • Introduction of SNOMED CT will require a reassessment of the way codes can be implemented within the system.
    • Determine what language aspects of EMRs are most problematic.
    • Traceability, result representation and assurance.
  • Questions
    • ?
  •