About Me

Bio

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

2012 ~ 2016

2007 ~ 2012


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

2019

  1. <In-Press> Predicting 30-Day Mortality of Patients with Pneumonia in Emergency Department Setting Using Machine-Learning Model
    • Clinical and Experimental Emergency Medicine (SCUPUS)
    • Co Author

2018

  1. A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study
    • JMIR mHealth and uHealth (SCI(E), 4.541)
    • Main Author
  2. Experience of Emergency Department Patients With Using the Talking Pole Device: Prospective Interventional Descriptive Study
    • JMIR mHealth and uHealth (SCI(E), IF 4.541)
    • Co-main Author

Symposium Presentation

2019

  1. Beyond Deploying Prediction Model: Structuring Clinical Decision Support Log
    • Main Author /Poster Presentation
    • OHDSI Annual Symposium
  2. Development of Mechanical ventilator weaning algorithm based on common data model: pilot study
    • Co Author / Poster Presentation
    • OHDSI Europe
  3. Make public the mapping table between the EDI medication table to the CDM vocabulary
    • Main Author / Poster Presentation
    • KOSMI
  4. Exploratory Data Analysis for Sepsis Prediction among Cancer Patients
    • Co Author / Poster Presentation
    • KOSMI
  5. Predicting 30-Day Mortality of Patients with Pneumonia in Emergency Department Setting Using Machine-Learning Model
    • Co Author / Oral Presentation
    • KOSMI

2018

  1. Development and Evaluation of the Real-Time ED dashboard
    • Main Author / Poster Presentation
    • AMIA Annual Symposium
  2. Introduction to Prototype Dashboard for Visualizing CPOE Alert Overriding Pattern for Physicians in an ED
    • Main Author / Oral Presentation
    • KOSMI
  3. Development Machine Learning Algorithm to Predict Unplanned Extubation : Pilot Study
    • Main Author / Poster Presentation
    • KOSMI
  4. Medication alert overriding pattern of physician in emergency department
    • Main Author / Oral Presentation
    • KSEM

2017

  1. From hackathon to clinical trial: Development of smart pole using human centered design process
    • Main Author / Poster Presentation
    • KOSMI
  2. Design and Evaluation of Connected Health Management System (“Aftercare app”) for Gastric and Colon Cancer Patients
    • Co Author / Oral Presentation
    • KOSMI
  3. Satisfaction rate of “Talking Pole” by Emergency Department Patient
    • Main Author / Oral Presentation
    • KSEM

Award

2019

  1. Make public the mapping table between the EDI medication table to the CDM vocabulary
    • KOSMI (Symposium)
    • Excellence Award
  2. Development and validation of candidemia prediction algorithm in cancer patients
    • Digital Health Hackathon
    • Participation Prize

2018

  1. Unplanned readmission prediction modelling using MIMIC-3 Dataset
    • Digital Health Hackathon
    • Participation Prize

2017

  1. Development of a post-operative respiratory rehabilitation device: Breath-go
    • Samsung Bluehack (hackathon)
    • Best Funny Prize
  2. Satisfaction rate of “Talking Pole” by Emergency Department Patient.
    • SAIHST Symposium
    • Third Prize