유준상, 통합과정
Junsang Yoo, Integrated Course

현) 성균관대학교 삼성융합의과학원 박사후 연구원 (2021-10-01)
junnsang@gmail.com


As a Critical Care Nurse,

I have contributed to saving patients’ lives next to their bedside throughout my whole career. I entered university in 2007 and majored in nursing. After graduation, I worked for 5 years in the emergency department (ER) and cardiac intensive care unit (CCU) at a tertiary university hospital. At that time, I was trained to understand the medical condition of individuals, so even when the patients did not know their needs themselves, I assessed their condition carefully and detected their . Over the my entire career, I became familiar with medical terminology and gained an understanding of various diseases and clinical workflow. 

As a Clinical Informatician,

I am currently trying to produce evidence by analyzing medical data. I can analyze the medical data with “contextual awareness,” because the data to be analyzed is what I produced for 5 years. In other words, I can understand the medical data with a critical perspective, re-identify what really happened in the real world from the data, and understand problems originating from the gap between data and real world. I developed clinical machine learning algorithms regarding patient safety (such as readmission, unplanned extubation, patients prognosis prediction model, etc.) 

Career & Education

2017 – Present  
Integrated Course in Digital Health, Sungkyunkwan University,
Samsung Advanced Institute for Health Sciences & Technology (SAIHST)

2012 – 2016  
Samsung Medical Center,
Registered Nurse (Emergency Room/ Cardiac Intensive Care Unit)

2007 – 2012  
RN in School of Nursing, Sahmyook University

Skill Set

Critical Care Nurse
– Treat Critically ill Patient
– Defining Clinical Problem
– Integrating CDSS into Clinical Workflow

Data Science
– Statistical Programming (R)
– Data Preprocessing
– Predictive Modeling
– Development and Evaluation of CDSS
– Medical Standard

Clinical Research
– Qualitative and Quantitative Research

Publication

• J Yoo, KY jung, T Kim, T Lee, SY Hwang, H Yoon, TG Shin, MS Sim, H Paeng, JS Choi, WC Cha (2018) A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study, JMIR mHealth & uHealth(SCIE, IF: 4.541)

• J Yoo, JY Soh, WH Lee, DK Chang, SU Lee, WC Cha (2018) Experience of Emergency Department Patients With Using the Talking Pole Device: Prospective Interventional Descriptive Study, JMIR mHealth & uHealth(SCIE, IF: 4.541)

Symposium Presentation

• Beyond Deploying Prediction Model: Structuring Clinical Decision Support Log (2019)
Main Author / OHDSI Annual Symposium (Poster)

• Development of Mechanical ventilator weaning algorithm based on common data model: pilot study (2019)
Co Author / OHDSI Europe (Poster)

• Make public the mapping table between the EDI medication table to the CDM vocabulary (2019)
Main Author / KOSMI (Poster)

• Exploratory Data Analysis for Sepsis Prediction among Cancer Patients (2019)
Co Author / KOSMI (Poster)

• Predicting 30-Day Mortality of Patients with Pneumonia in Emergency Department Setting Using Machine-Learning Model (2019)
Co Author / KOSMI (Oral)

• Development and Evaluation of the Real-Time ED dashboard (2018)
Main Author / AMIA Annual Symposium (Poster)

• Introduction to Prototype Dashboard for Visualizing CPOE Alert Overriding Pattern for Physicians in an ED (2018)
Main Author / KOSMI (Oral)

• Development Machine Learning Algorithm to Predict Unplanned Extubation : Pilot Study (2018)
Main Author / KOSMI (Poster)

• Medication alert overriding pattern of physician in emergency department (2018)
Main Author / KSEM (Oral)

• From hackathon to clinical trial: Development of smart pole using human centered design process (2017)
Main Author / KOSMI (Poster)

• Design and Evaluation of Connected Health Management System (“Aftercare app”) for Gastric and Colon Cancer Patients (2017)
Co Author / KOSMI (Oral)

• Satisfaction rate of “Talking Pole” by Emergency Department Patient (2017)
Main Author / KSEM (Oral)

• Beyond Deploying Prediction Model: Structuring Clinical Decision Support Log (2019)
Main Author / OHDSI Annual Symposium (Poster)

• Development of Mechanical ventilator weaning algorithm based on common data model: pilot study (2019)
Co Author / OHDSI Europe (Poster)

• Make public the mapping table between the EDI medication table to the CDM vocabulary (2019)
Main Author / KOSMI (Poster)

• Exploratory Data Analysis for Sepsis Prediction among Cancer Patients (2019)
Co Author / KOSMI (Poster)

• Predicting 30-Day Mortality of Patients with Pneumonia in Emergency Department Setting Using Machine-Learning Model (2019)
Co Author / KOSMI (Oral)

• Development and Evaluation of the Real-Time ED dashboard (2018)
Main Author / AMIA Annual Symposium (Poster)

• Introduction to Prototype Dashboard for Visualizing CPOE Alert Overriding Pattern for Physicians in an ED (2018)
Main Author / KOSMI (Oral)

• Development Machine Learning Algorithm to Predict Unplanned Extubation : Pilot Study (2018)
Main Author / KOSMI (Poster)

• Medication alert overriding pattern of physician in emergency department (2018)
Main Author / KSEM (Oral)

• From hackathon to clinical trial: Development of smart pole using human centered design process (2017)
Main Author / KOSMI (Poster)

• Design and Evaluation of Connected Health Management System (“Aftercare app”) for Gastric and Colon Cancer Patients (2017)
Co Author / KOSMI (Oral)

• Satisfaction rate of “Talking Pole” by Emergency Department Patient (2017)
Main Author / KSEM (Oral)

Award

• Excellence Award (2019) Korean Society of Medical Informatics 

• Participation Prize (2019) Digital Health Hackathon

• Participation Prize (2018) Digital Health Hackathon

• Best Funny Prize (2017) Samsung Bluehack

• Third Prize (2017) The 1st Annual SAIHST symposium