Creation and demonstration of new cost-effective infection control indicators by utilizing hospital big data

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K10554
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 58010:Medical management and medical sociology-related
• Research Institution: Kyoto Prefectural University of Medicine (2021-2022); Tokyo Medical and Dental University (2019-2020)
• Principal Investigator: Nukui Yoko 京都府立医科大学, 医学(系)研究科(研究院), 教授 (20568232)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 薬剤耐性菌 / ビッグデータ / 新型コロナウイルス感染症 / 抗菌薬適正使用

Outline of Final Research Achievements

Antimicrobial-resistant (AMR) bacteria are a global threat. This study　utilized big data to analyze efforts to achieve the AMR Action Plan at a university hospital. As a result, four targets for resistance rates were achieved, and the use of oral third generation cephalosporins was reduced by as much as 90%. The promotion of appropriate use of antimicrobial agents also reduced the annual purchase of antimicrobial agents by 30 million yen.
In addition, analyses were conducted on new COVID-19 pandemic that occurred during the study period. New infection control indicators, such as PCR screening tests upon admission and isolation criteria for suspected cases, were developed, enabling reduction of in-hospital cluster and excess medical costs. The use of big data enabled cost-effective infection control measures even during a pandemic period.

Free Research Field

感染症内科学・感染制御学・新興再興感染症・リスク管理

Academic Significance and Societal Importance of the Research Achievements

病院ビッグデータを活用することにより、未曽有のCOVID-19パンデミック禍で時間的・人的リソースが限られた状況下においても薬剤耐性菌及びCOVID-19対策の有効性に関する解析・実証が可能なことが明らかとなった。今後の更なる新興・再興感染症対応にとって、重要な基盤研究となった。