Jihyung Kook (국지형)

Jihyung Kook (국지형)

she/her

OMSCS alumnus @ Georgia Tech. Focused on privacy-preserving machine learning and cryptography, developing methods for secure learning and unlearning systems to build AI that is both trustworthy and usable.

A standardized glucose-insulin-potassium infusion protocol in surgical patients: Use of real clinical data from a clinical data warehouse

Published in Diabetes Research and Clinical Practice, 2021

요약: 임상 데이터 웨어하우스 기반으로 표준화된 GIK 주입 프로토콜을 검증했습니다. 특히 프로토콜 간 변동성을 줄여서 프로토콜의 안전성 모니터링의 유효성을 확인했습니다. 제 역할은 전자 의무 기록 (Electronic Medical Record, EMR) 데이터의 전처리·분석, 결과 정리 및 도표 제작이었습니다.

⚡️ TL;DR

Validated a standardized GIK infusion protocol using real-world clinical data from a hospital data warehouse, showing reduced protocol variability and improved monitoring feasibility.

👩🏻‍💻 My Role

  • Preprocessed and analyzed 7,000+ Electronic Medical Record (EMR) datasets for endocrinology research.
  • Built cohort and feature pipelines; performed statistical analyses for protocol validation.
  • Co-wrote the methods and results sections; prepared figures/tables.

🧪 Methods / Data

  • Retrospective analysis of EMR from a clinical data warehouse.
  • Statistical comparisons of glucose control and safety endpoints across protocol variants.

📊 Results / Impact

  • Protocol standardization decreased variability in glucose management.
  • Improved perioperative safety and provided a replicable data pipeline for future audits.

Recommended citation: Tae-jung Oh, Ji-hyung Kook, Se Young Jung, Duck-Woo Kim, Sung Hee Choi, Hong Bin Kim, Hak Chul Jang (2021). "A standardized glucose-insulin-potassium infusion protocol in surgical patients: Use of real clinical data from a clinical data warehouse." Diabetes Research and Clinical Practice, 174:108756.
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