DOI QR코드

DOI QR Code

데이터마이닝을 이용한 융복합 입원 의료서비스 환자경험 관리모형 개발

Development of a convergence inpatient medical service patient experience management model using data mining

  • 유진영 (수성대학교 보건행정과)
  • Yoo, Jin-Yeong (Division of Health Administration, Suseong University)
  • 투고 : 2020.05.20
  • 심사 : 2020.06.20
  • 발행 : 2020.06.28

초록

본 연구는 환자중심성 의료문화 조성을 위한 의료기관 경영전략에 도움이 될 수 있는 융복합 입원 의료서비스 환자경험 관리모형을 개발하고자 하였다. '2018 의료서비스경험조사' 원시자료를 이용하여 만 15세 이상 입원 의료서비스 경험이 있는 593명을 분석하였다. 의사결정나무 모형을 활용하여 입원 의료서비스 경험에 대한 전반적 만족도와 환자 경험 추천 의사 예측모형을 개발하였으며 유형은 4개, 7개로 각각 분류되었다. 모형의 정확도는 68.9%, 78.3%였다. 입원 의료서비스 환자경험 전반적 만족도 결정요인은 간호사 영역과 병실 소음관리 영역이었으며 추천 의사 결정요인은 간호사 영역이었다. 입원 의료서비스 환자경험 관리모형을 제시하고 간호사 영역과 병실 소음관리 영역이 입원환자 경험에 중요한 요인임을 확인한 점이 의의가 있다. 입원 의료서비스 환자경험 관리모형의 일반화를 위한 추가 연구가 필요하다 생각된다.

The purpose of this study is to develop a convergence inpatient medical service patient experience management model(IMSPEMM) that can help in the management strategy of a medical institution to create a patient-centered medical culture. Using the original data from the 2018 Medical Service Experience Survey, 593 people with medical services inpatient(MSI) over the age of 15 were analyzed. By using the decision tree model, we developed a prediction model for overall satisfaction(OS) with the inpatient medical service experience(IMSE) and the intention to recommend patient experience(RI), and were classified into 4 and 7 types. The accuracy of the model was 68.9% and 78.3%. The OS level of IMSE was the nurse area and the hospital room noise management area, and the RI decision factor was the nurse area. It is significant that the IMSPEMM for MSI was presented and confirmed that the nurse area and the noise management area of the hospital room are important factors for the inpatient experience. It is considered that further research is needed to generalize the IMSPEMM.

키워드

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