高雄榮民總醫院急診部──運用設計科學研究法導入ChatGPT績效管理

KAOHSIUNG VETERANS GENERAL HOSPITAL EMERGENCY DEPARTMENT - IMPLEMENTING CHATGPT FOR PERFORMANCE MANAGEMENT THROUGH DESIGN SCIENCE RESEARCH METHODOLOGY

本教學個案聚焦於高雄榮民總醫院急診部運用設計科學研究法導入ChatGPT進行績效管理的實例。個案透過急診部面臨護理師過勞與人力流動問題的真實情境，系統性地展示了從問題確認到解決方案評估的完整管理決策過程。透過此個案，學生將學習：（1）如何應用設計科學研究法的六步驟框架（問題確認、目標定義、解決方案設計、展示、評估及溝通）系統性地解決實務管理問題；（2）如何評估與選擇適合的數位工具進行管理數據分析；（3）如何在實際醫療情境中運用ChatGPT等新興數位工具提升管理效能，包括快速產生LOS報表、製作統計圖表、產出衛教文件及協助文書工作等多元應用。個案展示了如何將傳統事後管理轉型為即時管理，不僅降低了急診室滯留時間，也減輕了護理人員的行政負擔，為學生提供了數位轉型如何在不增加人員工作負擔的前提下創造更具人性化且高效工作環境的寶貴實務參考。

This teaching case focuses on the implementation of ChatGPT for performance management in the Emergency Department of Kaohsiung Veterans General Hospital using the Design Science Research methodology. The case systematically demonstrates the complete management decision-making process from problem identification to solution evaluation through a real-world scenario involving nurse burnout and staff turnover issues. Through this case, students will learn: (1) how to apply the six-step framework of Design Science Research (problem identification, objective definition, solution design, demonstration, evaluation, and communication) to systematically solve practical management problems; (2) how to evaluate and select appropriate digital tools for management data analysis; (3) how to utilize emerging digital tools like ChatGPT to enhance management efficiency in actual healthcare settings, including rapid generation of LOS reports, creation of statistical charts, production of health education materials, and assistance with administrative tasks. The case illustrates how traditional retrospective management can be transformed into real-time management, not only reducing emergency department length of stay but also alleviating administrative burdens on nursing staff. This provides students with valuable practical reference on how digital transformation can create a more humane and efficient work environment without increasing staff workload.