편집
359
번
바뀜
새 문서: 오재훈는 서울캠퍼스 의과대학 의학과 응급의학교실 교수이자 한양대학교 병원 응급의학과 교수이다. =학력= * 2004, 한양대학...
오재훈는 서울캠퍼스 [[의과대학]] [[의학과]] [[응급의학교실]] 교수이자 [[한양대학교 병원]] 응급의학과 교수이다.
=학력=
* 2004, 한양대학교, 의학학사
* 2009, 한양대학교 대학원, 의학석사 (의공학)
* 2014, 한양대학교 대학원, 면역학박사 (의공학)
=경력=
* 한양대학교병원 응급의학과 전공의
* 한양대학교 병원 임상강사
* 현재, 한양대학교 의과대학 응급의학교실 교수
* 한양대학교 병원 권역응급의료센터 심폐소생술 교육 센터장
* 한양대학교 의료데이터 머신러닝 연구소/한양재난융합기술센터 운영
* 한양대학교 병원 응급의학과장, 신속대응센터장
* 한양대학교 의과대학 의학교육시뮬레이션 센터장
* 한양대학병원 기관윤리심의위원회(IRB) 전문위원
== 연구분야 ==
소생의학, 의학데이터 머신러닝
== 주요저서 ==
* 응급의학
* 노인응급의학
* KTAS 한국형 응급환자 분류도구 : 제공자 교육 매뉴얼
== 학회활동 ==
* 서울소방학교 강사
* 미국심장협회 BLS/ACLS instructor
* 대한심폐소생협회 KBLS/KALS instructor, 기획위원
* KTAS (한국형 응급환자 분류도구) 교육위원
* 대한 응급의학회지 CEEM 간행위원
* 대한응급의학회 정회원
* 대한중환자의학회 정회원
* 대한소아응급의학회 정회원
== 수상경력 ==
* 대한응급의학회 우수구연상, 2008
* 대한의용생체공학회 우수구연상, 2010
* 서울시장상 표창장 2015, 2022
* 소생의학 연구자상, 2023<ref><뉴스H> 2023.11.23 [http://www.newshyu.com/news/articleView.html?idxno=1012169 오재훈 교수, 심정지 환자 회복 연구로 ‘소생의학 연구자상’ 수상]</ref>
== 주요논문 ==
* A retrospective study using computed tomography to compare sufficient chest compression depth for cardiopulmonary resuscitation in obese patients (교신저자) / JOURNAL OF THE AMERICAN HEART ASSOCIATION
* Comparison of two-thumb encircling and two-finger technique during infant cardiopulmonary resuscitation with single rescuer in simulation studies: A systematic review and meta-analysis. (교신저자) / MEDICINE
* Comparison of Heart Proportions Compressed by Chest Compressions Between Geriatric and Nongeriatric Patients Using Mathematical Methods and Chest Computed Tomography: A Retrospective Study (교신저자) / Annals of Geriatric Medicine and Research
* Comparison of optimal point on the sternum for chest compression between obese and normal weight individuals with respect to body mass index, using computer tomography: A retrospective study (교신저자) / RESUSCITATION
* Smartwatch feedback device for high-quality chest compressions by a single rescuer during infant cardiac arrest: a randomized, controlled simulation study. (교신저자) / EUROPEAN JOURNAL OF EMERGENCY MEDICINE
* Comparing the protective performances of 3 types of N95 filtering facepiece respirators during chest compressions: A randomized simulation study (교신저자) / MEDICINE
* Effectiveness of feedback with a smartwatch for high-quality chest compressions during adult cardiac arrest: A randomized controlled simulation study (교신저자) / PLOS ONE
* Evaluation of Smartphone Applications for Cardiopulmonary Resuscitation Training in South Korea (교신저자) / BIOMED RESEARCH INTERNATIONAL
* Analysis of the Performance for Bystanders’ Cardiopulmonary Resuscitation in Geriatric and Out-of-Hospital Cardiac Arrested Patients (교신저자) / Annals of Geriatric Medicine and Research
* Training a Chest Compression of 6–7 cm Depth for High Quality Cardiopulmonary Resuscitation in Hospital Setting: A Randomised Controlled Trial (제1저자) / YONSEI MEDICAL JOURNAL
* Effectiveness of chest compression feedback during cardiopulmonary resuscitation in lateral tilted and semirecumbent positions: a randomised controlled simulation study (교신저자) / ANAESTHESIA
* Proper target depth of an accelerometer-based feedback device during CPR performed on a hospital bed: a randomized simulation study (제1저자) / AMERICAN JOURNAL OF EMERGENCY MEDICINE
* Chest compression with kneeling posture in hospital cardiopulmonary resuscitation: A randomised crossover simulation study (제1저자) / EMERGENCY MEDICINE AUSTRALASIA
* A Bibliometric Analysis of Articles Published in the Journal of the Korean Geriatrics Society (교신저자) / Annals of Geriatric Medicine and Research
* A novel method to decrease mattress compression during CPR using a mattress compression cover and a vacuum pump (제1저자) / RESUSCITATION
* Analysis of Anxiety or Depression and Long-term Mortality Among Survivors of Out-of-Hospital Cardiac Arrest. JAMA Netw Open. 2023 (교신저자)
* Long-term prognosis and causes of death among survivors after out-of-hospital cardiac arrest: A population-based longitudinal study. RESUSCITATION 2022 (교신저자)
* Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet). Sci Rep. 2022 (교신저자)
* The effect of BMI on COVID-19 outcomes among older patients in South Korea: a nationwide retrospective cohort study. Ann Med. 2021 (교신저자)
* Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study. Sci Rep. 2020 (교신저자)
* A retrospective study using computed tomography to compare sufficient chest compression depth for cardiopulmonary resuscitation in obese patients. JOURNAL OF THE AMERICAN HEART ASSOCIATION 2019 (교신저자)
=각주=
<references />
[[분류:교수]]
[[분류:동문]]
=학력=
* 2004, 한양대학교, 의학학사
* 2009, 한양대학교 대학원, 의학석사 (의공학)
* 2014, 한양대학교 대학원, 면역학박사 (의공학)
=경력=
* 한양대학교병원 응급의학과 전공의
* 한양대학교 병원 임상강사
* 현재, 한양대학교 의과대학 응급의학교실 교수
* 한양대학교 병원 권역응급의료센터 심폐소생술 교육 센터장
* 한양대학교 의료데이터 머신러닝 연구소/한양재난융합기술센터 운영
* 한양대학교 병원 응급의학과장, 신속대응센터장
* 한양대학교 의과대학 의학교육시뮬레이션 센터장
* 한양대학병원 기관윤리심의위원회(IRB) 전문위원
== 연구분야 ==
소생의학, 의학데이터 머신러닝
== 주요저서 ==
* 응급의학
* 노인응급의학
* KTAS 한국형 응급환자 분류도구 : 제공자 교육 매뉴얼
== 학회활동 ==
* 서울소방학교 강사
* 미국심장협회 BLS/ACLS instructor
* 대한심폐소생협회 KBLS/KALS instructor, 기획위원
* KTAS (한국형 응급환자 분류도구) 교육위원
* 대한 응급의학회지 CEEM 간행위원
* 대한응급의학회 정회원
* 대한중환자의학회 정회원
* 대한소아응급의학회 정회원
== 수상경력 ==
* 대한응급의학회 우수구연상, 2008
* 대한의용생체공학회 우수구연상, 2010
* 서울시장상 표창장 2015, 2022
* 소생의학 연구자상, 2023<ref><뉴스H> 2023.11.23 [http://www.newshyu.com/news/articleView.html?idxno=1012169 오재훈 교수, 심정지 환자 회복 연구로 ‘소생의학 연구자상’ 수상]</ref>
== 주요논문 ==
* A retrospective study using computed tomography to compare sufficient chest compression depth for cardiopulmonary resuscitation in obese patients (교신저자) / JOURNAL OF THE AMERICAN HEART ASSOCIATION
* Comparison of two-thumb encircling and two-finger technique during infant cardiopulmonary resuscitation with single rescuer in simulation studies: A systematic review and meta-analysis. (교신저자) / MEDICINE
* Comparison of Heart Proportions Compressed by Chest Compressions Between Geriatric and Nongeriatric Patients Using Mathematical Methods and Chest Computed Tomography: A Retrospective Study (교신저자) / Annals of Geriatric Medicine and Research
* Comparison of optimal point on the sternum for chest compression between obese and normal weight individuals with respect to body mass index, using computer tomography: A retrospective study (교신저자) / RESUSCITATION
* Smartwatch feedback device for high-quality chest compressions by a single rescuer during infant cardiac arrest: a randomized, controlled simulation study. (교신저자) / EUROPEAN JOURNAL OF EMERGENCY MEDICINE
* Comparing the protective performances of 3 types of N95 filtering facepiece respirators during chest compressions: A randomized simulation study (교신저자) / MEDICINE
* Effectiveness of feedback with a smartwatch for high-quality chest compressions during adult cardiac arrest: A randomized controlled simulation study (교신저자) / PLOS ONE
* Evaluation of Smartphone Applications for Cardiopulmonary Resuscitation Training in South Korea (교신저자) / BIOMED RESEARCH INTERNATIONAL
* Analysis of the Performance for Bystanders’ Cardiopulmonary Resuscitation in Geriatric and Out-of-Hospital Cardiac Arrested Patients (교신저자) / Annals of Geriatric Medicine and Research
* Training a Chest Compression of 6–7 cm Depth for High Quality Cardiopulmonary Resuscitation in Hospital Setting: A Randomised Controlled Trial (제1저자) / YONSEI MEDICAL JOURNAL
* Effectiveness of chest compression feedback during cardiopulmonary resuscitation in lateral tilted and semirecumbent positions: a randomised controlled simulation study (교신저자) / ANAESTHESIA
* Proper target depth of an accelerometer-based feedback device during CPR performed on a hospital bed: a randomized simulation study (제1저자) / AMERICAN JOURNAL OF EMERGENCY MEDICINE
* Chest compression with kneeling posture in hospital cardiopulmonary resuscitation: A randomised crossover simulation study (제1저자) / EMERGENCY MEDICINE AUSTRALASIA
* A Bibliometric Analysis of Articles Published in the Journal of the Korean Geriatrics Society (교신저자) / Annals of Geriatric Medicine and Research
* A novel method to decrease mattress compression during CPR using a mattress compression cover and a vacuum pump (제1저자) / RESUSCITATION
* Analysis of Anxiety or Depression and Long-term Mortality Among Survivors of Out-of-Hospital Cardiac Arrest. JAMA Netw Open. 2023 (교신저자)
* Long-term prognosis and causes of death among survivors after out-of-hospital cardiac arrest: A population-based longitudinal study. RESUSCITATION 2022 (교신저자)
* Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet). Sci Rep. 2022 (교신저자)
* The effect of BMI on COVID-19 outcomes among older patients in South Korea: a nationwide retrospective cohort study. Ann Med. 2021 (교신저자)
* Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study. Sci Rep. 2020 (교신저자)
* A retrospective study using computed tomography to compare sufficient chest compression depth for cardiopulmonary resuscitation in obese patients. JOURNAL OF THE AMERICAN HEART ASSOCIATION 2019 (교신저자)
=각주=
<references />
[[분류:교수]]
[[분류:동문]]