Journal of Yeungnam Medical Science

영남대 의대 학술지 편집위원회 (Yeungnam University College of Medicine, Yeungnam University Institute Medical Science)
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Computer-based clinical coding activity analysis for neurosurgical terms

  • Lee, Jong Hyuk (Convergence Medical Institute of Technology, Pusan National University Hospital) ;
  • Lee, Jung Hwan (Department of Neurosurgery, Pusan National University Hospital) ;
  • Ryu, Wooseok (Department of Healthcare Information Management, Catholic University of Pusan) ;
  • Choi, Byung Kwan (Department of Neurosurgery, Pusan National University Hospital) ;
  • Han, In Ho (Department of Neurosurgery, Pusan National University Hospital) ;
  • Lee, Chang Min (Convergence Medical Institute of Technology, Pusan National University Hospital)
  • 투고 : 2019.04.01
  • 심사 : 2019.05.24
  • 발행 : 2019.09.30
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초록

Background: It is not possible to measure how much activity is required to understand and code a medical data. We introduce an assessment method in clinical coding, and applied this method to neurosurgical terms. Methods: Coding activity consists of two stages. At first, the coders need to understand a presented medical term (informational activity). The second coding stage is about a navigating terminology browser to find a code that matches the concept (code-matching activity). Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) was used for the coding system. A new computer application to record the trajectory of the computer mouse and record the usage time was programmed. Using this application, we measured the time that was spent. A senior neurosurgeon who has studied SNOMED CT has analyzed the accuracy of the input coding. This method was tested by five neurosurgical residents (NSRs) and five medical record administrators (MRAs), and 20 neurosurgical terms were used. Results: The mean accuracy of the NSR group was 89.33%, and the mean accuracy of the MRA group was 80% (p=0.024). The mean duration for total coding of the NSR group was 158.47 seconds, and the mean duration for total coding of the MRA group was 271.75 seconds (p=0.003). Conclusion: We proposed a method to analyze the clinical coding process. Through this method, it was possible to accurately calculate the time required for the coding. In neurosurgical terms, NSRs had shorter time to complete the coding and higher accuracy than MRAs.

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참고문헌

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피인용 문헌

  1. The medical 3-dimensional image exchange via health level 7 fast healthcare interoperability resource (HL7 FHIR) vol.18, pp.6, 2019, https://doi.org/10.14400/jdc.2020.18.6.373