Abstract
Free-text clinical narratives recorded during clinical care are used for secondary purposes such as clinical coding and subsequent statistical analysis. The current process of manual clinical coding is time-consuming, expensive and error prone. Computer-Assisted Coding (CAC) systems have the potential to expedite this process. We aim to develop a distributed knowledge-based computer-assisted clinical coding system that can semi-automate the process of clinical coding. This paper, describes the initial phase of our work which currently uses the pattern matching method to assign ICD-10-AM and ACHI codes.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the HIMAA/NCCH 36th National Conference: Health Information Management: Engaging the Next Generation, 23 - 25 October 2019, Bankwest Stadium, Parramatta, New South Wales, Australia |
| Publisher | Health Information Management Association of Australia ; National Centre for Classification in Health |
| Pages | 43-50 |
| Number of pages | 8 |
| ISBN (Print) | 9780994620668 |
| Publication status | Published - 2019 |
| Event | Health Information Management Association of Australia. Conference - Duration: 23 Oct 2019 → … |
Conference
| Conference | Health Information Management Association of Australia. Conference |
|---|---|
| Period | 23/10/19 → … |
Keywords
- medical informatics
- medical records
- classification
- data processing
- natural language processing (computer science)
- distributed databases
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