Scientific Program

- Session times are Korea Standard Time (UTC/GMT+9). Please click the link and check your local time.
- Program is subject to change.
- Program will be updated continuously.
- Some sessions are in Korean.

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  • Wednesday, October 26
  • Thursday, October 27
  • Friday, October 28
  • Oral Presentation
  • Education Workshop

Thursday, October 27

[SY03]
Digital transformation of laboratory medicine: value and opportunities

Big data has been actively taking part in the field of medicine with IT’s recent breakthrough. Laboratory medicine results account for a large proportion of medical data and are mostly objective and easy to use, for it is a quantitative data. This symposium will be a valuable time to learn about understanding and using big data, and the role of laboratory medicine in big data.

Date & Time Oct. 27 (Thu.), 09:00-10:30 Room Room A Language Eng
Chair(s)
  1. Jeong-Ho Kim, Yonsei University College of Medicine, Korea
    Jeong Hwan Shin, Inje University College of Medicine, Korea
Speaker(s)
  1. Laboratory results use for clinical big data analysis
    Dukyong Yoon, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Korea
  2. Multi-national and multi-institutional observational studies using OMOP-CDM big data
    Rae Woong Park, Department of Biomedical Informatics, Ajou University School of Medicine, Korea
  3. Role of laboratory medicine in research using big data
    Eun-Jung Cho, Hallym University of College of Medicine, Korea

[SY04]
Asia Session
Laboratory organizations; societies and associations in Asian countries

Date & Time Oct. 27 (Thu.), 08:00-10:15 Room Room B Language Eng
Chair(s)
  1. SaeYun Baik, Seoul Clinical Laboratories, Korea
    Woochang Lee, University of Ulsan College of Medicine, Korea
Speaker(s)
  1. Laboratory organizations; societies and associations in Indonesia
    Teguh Triyono, Universitas Gadjah Mada, Indonesia
  2. Laboratory organizations; societies and associations in India
    Sojit Tomo, All India Institute of Medical Sciences, India
  3. Laboratory organizations; societies and associations in Mongolia
    M.Oyundelger, Etugen University, Mongolia
  4. Laboratory organizations; societies and associations in Thailand
    Kanit Reesukumal, Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand
  5. Japanese Promotion Council for Laboratory Testing (JPCLT), a unique cross-functional organization to promote laboratory medicine in Japan
    Masami Murakami, Gunma University Graduate School of Medicine, Japan
  6. Introduction to Taiwan society of clinical pathology and laboratory medicine
    Tjin-Shing Jap, National Yang Ming University, Taiwan
  7. Laboratory organizations; societies and associations in Korea
    Hwan Sub Lim, Seoul Clinical Laboratories, Korea

[SY05]
CLSI-KSLM Joint Session
Introduction of key CLSI documents

Date & Time Oct. 27 (Thu.), 09:00-10:30 Room Room C Language Eng
Chair(s)
  1. Woo-In Lee, Kyung Hee University College of Medicine, Korea
    Namhee Ryoo, Keimyung University School of Medicine, Korea
Speaker(s)
  1. EP43 (method evaluation): implementing a laboratory test under emergency use conditions, 1st edition
    James Nichols, Vanderbilt University Medical Center, USA
  2. M23 (microbiology): development of in vitro susceptibility testing criteria and quality control parameters, 5th edition
    Sae Am Song, Inje University College of Medicine, Korea
  3. QMS26 (quality management systems): managing laboratory records, 1st edition
    Victor Waddell, Arizona Department of Health Services, USA

[PL02]
Best practices for developing and reporting machine learning applications in laboratory medicine

Date & Time Oct. 27 (Thu.), 10:50-11:50 Room Room A Language Eng
Chair(s)
  1. Sail Chun, University of Ulsan College of Medicine, Korea
Speaker(s)
  1. Best practices for developing and reporting machine learning applications in laboratory medicine
    Shannon Haymond , Northwestern University Feinberg School of Medicine, USA

[SY06]
AACC-KSLM Joint Session
Development of effective clinical decision support tools for laboratory testing

Date & Time Oct. 27 (Thu.), 13:00-14:30 Room Room A Language Eng
Chair(s)
  1. Hyosoon Park, Sungkyunkwan University School of Medicine, Korea
    Hyunghoi Kim, Pusan National University Hospital, Korea
Speaker(s)
  1. Where do i begin? fundamentals of clinical decision support strategy and design
    Joseph Rudolf, University of Utah School of Medicine, USA
  2. Where did i go wrong? case studies of clinical decision support challenges and solutions
    Ronald Jackups, Washington University School of Medicine, USA

[SY07]
Digital transformation of morphology in clinical microbiology

Digital technology has already been applied to clinical laboratories in microscopic examination and is expected to develop rapidly in the future. Among the tests performed in the clinical microbiological laboratory, the microscopic examination is the most difficult and requires the most skill, so skilled manpower is concentrated. Let's look at the real world experience of applying digital technology to microscopy readings and improving the quality of interpretations to improve patient care and laboratory work environments.

Date & Time Oct. 27 (Thu.), 13:00-14:40 Room Room B Language Eng
Chair(s)
  1. Jong Hee Shin, Chonnam National University College of Medicine, Korea
    Dongeun Yong, Yonsei University College of Medicine, Korea
Speaker(s)
  1. Drug susceptibility test of mycobacteria tuberculosis based on microscopic interpretation of cell growth
    Mi-Na Kim, University of Ulsan College of Medicine, Korea
  2. Interpretation of direct smear microscopy with scoring system: quality assurance to diagnosis
    Oliver Nolte, Centre for Laboratory Medicine St. Gall, Switzerland
  3. Facilitated detection of AFB using artificial intelligence in real-world
    Chang-Ki Kim, Seoul Clinical Laboratories, Korea
  4. Digital colony reading: transformation of a dirty wet micro-lab to a clean dry lab
    Maurizio Sanguinetti, Università Cattolica del S. Cuore, Italy

[KS01]
Genome, epigenome, and transcriptome in cancer diagnostics

Date & Time Oct. 27 (Thu.), 13:00-13:40 Room Room C Language Eng
Chair(s)
  1. Eul-Ju Seo, University of Ulsan College of Medicine, Korea
Speaker(s)
  1. Genome, epigenome, and transcriptome in cancer diagnostics
    Jung Kyoon Choi, Department of Bio and Brain Engineering, KAIST, Korea

[SY08]
CAP-KSLM Joint Session
Laboratory inspection in COVID-19 era – experience of virtual and hybrid

Date & Time Oct. 27 (Thu.), 14:50-16:20 Room Room A Language Eng
Chair(s)
  1. Eun Hee Lee, Green Cross Laboratories, Korea
    Kyeong-Hee Kim, Dong-A University College of Medicine, Korea
Speaker(s)
  1. Hybrid LMF inspection
    Myeong Hee Kim, Kyung Hee University of College of Medicine, Korea
  2. Virtual hybrid inspection process
    Mick Scanlan, OHSU (Oregon Health & Science University), USA
  3. Laboratory experience - virtual CAP inspection and hybrid LMF inspection
    Jae Hyeon Park, Seoul National University Hospital, Korea

[SY09]
Laboratory investigation for acute kidney injury

Date & Time Oct. 27 (Thu.), 14:50-16:20 Room Room B Language Eng
Chair(s)
  1. Je Hoon Lee, The Catholic University of Korea College of Medicine, Korea
    Sang Hoon Song, Seoul National University College of Medicine, Korea
Speaker(s)
  1. Laboratory investigations of acute kidney injury and acute interstitial nephritis
    Dennis Moledina, Yale School of Medicine, USA
  2. Considerations in automated alerting for acute kidney injury
    F. Perry Wilson, Yale School of Medicine, USA
  3. Current status of novel biomarkers for acute kidney injury
    Hyun-Seung Lee, Wonkwang University School of Medicine, Korea

[SY10]
How can we transform genomic data into useful knowledge

Date & Time Oct. 27 (Thu.), 14:50-16:20 Room Room C Language Eng
Chair(s)
  1. Chang-Ho Jeon, The Catholic University of Korea College of Medicine, Korea
    Jong-won Kim, Sungkyunkwan University School of Medicine, Korea
Speaker(s)
  1. Clinical genome data analysis and its genetic interpretation
    Murim Choi, Seoul National University College of Medicine, Korea
  2. Standards to integrate clinical data with genomic data
    Soo-Yong Shin, Department of Digital Health, Sungkyunkwan University, Korea
  3. Laboratory information management system (LIMS) for NGS tests and real world application at GC Genome
    Ju Sun Song, GC Genome, Korea

[KS02]
Laboratory diagnosis of congenital disorders of glycosylation

Date & Time Oct. 27 (Thu.), 16:40-17:20 Room Room A Language Eng
Chair(s)
  1. Junghan Song, Seoul National University College of Medicine, Korea
Speaker(s)
  1. Laboratory diagnosis of congenital disorders of glycosylation
    Stephen Master, University of Pennsylvania Perelman School of Medicine, USA