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Construction of Medical Episode Data using National Health Insurance Service Data

국민건강보험청구 자료를 이용한 진료에피소드 자료 구축

  • Received : 2019.06.04
  • Accepted : 2019.09.20
  • Published : 2019.09.27

Abstract

The purpose of this study is to analyze the characteristics of National Health Insurance claim data and to construct a pilot medical episode data considering it. In this study, the trends of respiratory disease (ICD10: J00-J99) cardiovascular disease (ICD10: I00-I99) from the day of onset of treatment to re-admission after admission were confirmed in Seoul, and the largest decrease was observed when the no-treatment period was 0 day. The data reduction rate when the no-treatment period is 0 day is judged to be due to the monthly separation claim of the health insurance claim data. Also, the result that there is a tendency of monthly separation request according to the type of medical treatment. Through this study, we constructed epidemic data for the pilot medical treatment considering the characteristics of the claim data of health insurance, and based on this, it can be used as a data processing method for calculating basic epidemiological information.

국민건강보험 청구자료는 급여 지급을 위한 자료로 질환에 대한 유병 및 발생자료는 아니므로 보건학적 연구 자료로 활용하기 위해서는 진료에피소드개념을 적용하여 재가공이 필요하다. 따라서 건강보험 청구자료의 보건학적 연구 자료로 활용하기 위한 시범적 진료에피소드 자료를 구축하는 것이 목적이다. 본 연구에서는 무진료기간을 퇴원한 당일 입원한 경우 월 단위 분리청구를 보정하기 위해 0으로 정의하였다. 서울지역에 한하여 호흡기계 질환(ICD10: J00-J99)및 심혈관계 질환(ICD10: I00-I99) 발생의 진료개시일부터 입원 이후 재입원까지 경향을 확인하였다. 무진료기간이 0일 일 때 자료 감소율은 건강보험청구자료의 월 단위 분리청구건으로 인한 것으로 판단된다. 또한 의료기간 종별에 따라 월 단위 분리청구 경향 차이가 있는 것으로 확인 하였다. 본 연구를 통해 구축된 시범적 진료에피소드자료는 기초적 역학정보를 산출하는 자료처리 기법으로 이용될 수 있을 것이다.

Keywords

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