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      수혈의학에서의 고장유형 및 영향분석 경험 = Experience of Failure Mode and Effect Analysis in Transfusion Medicine

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      https://www.riss.kr/link?id=A105258838

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      다국어 초록 (Multilingual Abstract)

      Background: Blood transfusions are complicated procedures, and are highly sensitive to mistakes that could seriously endanger the life of patients. The failure mode and effect analysis (FMEA) can be used to inspect and improve high risk processes. Her...

      Background: Blood transfusions are complicated procedures, and are highly sensitive to mistakes that could seriously endanger the life of patients. The failure mode and effect analysis (FMEA) can be used to inspect and improve high risk processes. Here, we aimed to identify the risk factors of a blood transfusion process and to improve its safety by optimizing the process.
      Methods: We conducted a weekly meeting from March to April 2014. We investigated the frequency of events for 2013 (before FMEA) and 2015 (after FMEA). The FMEA process was performed in eight steps and the improvement priorities were determined in accordance with the magnitude of calculated fatalities (multiplied by severity, occurrence, and detection scores).
      Results: The whole process of blood transfusion was analyzed by detailed steps: Decision of blood transfusion, blood transfusion request, pre-transfusion test, blood product discharge, delivery, and administration process. Then, we identified the types of failures and likelihood of occurrence, discovery, and severity. Based on the calculated risk priority number, strategies to improve the highest failure modes were developed. Eleven transfusion-related events occurred before FMEA, and three events occurred after FMEA.
      Conclusion: In this study, we analyzed the failure modes that may occur during a transfusion procedure. The FMEA was a useful tool for analyzing and reducing the risks associated with a blood transfusion procedure. Continuous efforts to improve the failure modes would be helpful to further improve the safety of patients undergoing blood transfusion.

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      참고문헌 (Reference)

      1 정은영, "환자 안전을 위한 RFID시스템 개발 및 적용" 대한의료정보학회 15 (15): 433-444, 2009

      2 Lago P, "Use of FMEA analysis to reduce risk of errors in prescribing and administering drugs in paediatric wards: a quality improvement report" 2 : e001249-, 2012

      3 Graham JE, "Transfusion e-learning for junior doctors: the educational role of ‘LearnBlood- Transfusion'" 25 : 144-150, 2015

      4 Han TH, "The role of failure modes and effects analysis in showing the benefits of automation in the blood bank" 53 : 1077-1082, 2013

      5 Sazama K, "Reports of 355 transfusion-associated deaths: 1976 through 1985" 30 : 583-590, 1990

      6 Freixo A, "Nurses knowledge in transfusion medicine in a Portuguese university hospital: the impact of an education" 15 : 49-52, 2016

      7 Lu Y, "Failure mode and effect analysis in blood transfusion: a proactive tool to reduce risks" 53 : 3080-3087, 2013

      8 Chiozza ML, "FMEA: a model for reducing medical errors" 404 : 75-78, 2009

      9 Bonkowski J, "Effect of barcode-assisted medication administration on emergency department medication errors" 20 : 801-806, 2013

      10 Poon EG, "Effect of bar-code technology on the safety of medication administration" 362 : 1698-1707, 2010

      1 정은영, "환자 안전을 위한 RFID시스템 개발 및 적용" 대한의료정보학회 15 (15): 433-444, 2009

      2 Lago P, "Use of FMEA analysis to reduce risk of errors in prescribing and administering drugs in paediatric wards: a quality improvement report" 2 : e001249-, 2012

      3 Graham JE, "Transfusion e-learning for junior doctors: the educational role of ‘LearnBlood- Transfusion'" 25 : 144-150, 2015

      4 Han TH, "The role of failure modes and effects analysis in showing the benefits of automation in the blood bank" 53 : 1077-1082, 2013

      5 Sazama K, "Reports of 355 transfusion-associated deaths: 1976 through 1985" 30 : 583-590, 1990

      6 Freixo A, "Nurses knowledge in transfusion medicine in a Portuguese university hospital: the impact of an education" 15 : 49-52, 2016

      7 Lu Y, "Failure mode and effect analysis in blood transfusion: a proactive tool to reduce risks" 53 : 3080-3087, 2013

      8 Chiozza ML, "FMEA: a model for reducing medical errors" 404 : 75-78, 2009

      9 Bonkowski J, "Effect of barcode-assisted medication administration on emergency department medication errors" 20 : 801-806, 2013

      10 Poon EG, "Effect of bar-code technology on the safety of medication administration" 362 : 1698-1707, 2010

      11 조덕, "ABO 혈액형 불일치 수혈사고의 예방: ‘2-2-2 안전수혈 캠페인’" 대한수혈학회 24 (24): 79-81, 2013

      12 Stainsby D, "6 Years of shot reporting--its influence on UK blood safety" 31 : 123-131, 2004

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      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2028 평가예정 재인증평가 신청대상 (재인증)
      2022-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2015-01-01 평가 등재후보학술지 유지 (계속평가) KCI등재후보
      2013-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2012-01-01 평가 등재후보 1차 FAIL (기타) KCI등재후보
      2011-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.19 0.19 0.17
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.18 0.16 0.267 0.03
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