2022 Spring DHC5031 Introduction to Medical Informatics

 
    • Introductory class of biomedical informatics
    • In-depth explanation on sub-areas of biomedical informatics
    • This class will explain the topics of medical informatics based on healthcare data life cycle

 

Instructor

    • Prof. Soo-Yong Shin (sy.shin (at) skku.edu)

Date & Room

    • Tuesday 09:00 ~ 11:50
    • Room: 슈바이처홀, 9F, Building B, Ilwon Campus
    • On/Off hybrid class (real-time streaming at the offline classroom).
      • SAIHST students should attend the offline classroom.
      • Other students (including part-time students) could attend the class via webex.
      • Online link: https://skku-ict.webex.com/meet/sy.shin 
      • After class, the recorded lecture will be uploaded in iCampus. Part-time students can watch this recorded lecture.

Reference (optional)

    • 최윤섭, 디지털 헬스케어, 클라우드나인, 2020
      • Highly recommended
    • 보건의료정보학(대한의료정보학회 저, 현문사, 2014)

Evaluation

    • Attendance: 10%
      • If only onle, attendance could be pass/fail.
    • Assignment: 30%
      • Assignments will be given irregularly based on the topic of each class
      • In total, there will be three assignments.
    • Final term: 60%
      • It could be changed into report based on the COVID-19 status.
    • Final GRADE

Assignment

    • All assignments should be submitted to Instructor via email.
      • File naming convention: 의료정보학_Assignment(No)_학번_이름 ex) 의료정보학_Assignment1_20201234_홍길동.doc
    • The assignement should be submitted before the next class

Final Term

Course Schedule

(Course schedule can be changed.)

    1. 02/22: What is medical informatics
      • Supplementary Video Lecture (Optional)
        • What is Biomedical and Health Informatics? (by William Hersh, Oregon Health & Science University)
          • You have to watch following three lectures (use Chrome browser)
            • What is Biomedical and Health Informatics (1)?
            • What is Biomedical and Health Informatics (2)?
            • A Short History of Biomedical and Health Informatics
    2. 03/01: Data acquisition (1) – Healthcare Big Data (3/1절. 동영상 수업으로 대체)
    3. 03/08: Data acquisition (2) – Hospital information system
    4. 03/15: Data acquisition (3) – Patient-generated health data
    5. 03/22: Data acquisition (4) – Social determinant of health
    6. 03/29: Data acquisition (5) – Genome data
    7. 04/05: Standards for healthcare data
    8. 04/12: Ethics & regulation
    9. 04/19:  P&S: De-identification of healthcare data
    10. 04/26: Data analysis (1): Clinical Research Informatics 
    11. 05/03: Data analysis (2): Artificial Intelligence
    12. 05/10: Clinical validation
    13. 05/17: Business model of digital health
    14. 05/24: Recent Topics
    15. 05/31: Finalterm – (점수)