Tele-nursing model using AI to recognize acute exacerbations in patients with chronic respiratory failure.

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K10853
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 58060:Clinical nursing-related
• Research Institution: Miyagi University
• Principal Investigator: Shimoyama Makoto 宮城大学, 看護学群, 准教授 (00626559)
• Co-Investigator(Kenkyū-buntansha): 佐藤 大介 福井大学, 学術研究院医学系部門, 教授 (20524573) ; 鈴木 優 宮城大学, 事業構想学群, 准教授 (70612779)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: 慢性呼吸不全 / 遠隔看護システム / 急性増悪

Outline of Final Research Achievements

In this study, as a verification of the long-term effects of telenursing for patients with chronic respiratory failure, we requested a research partner to secure the subjects, and then operated a telenursing system for home-care patients with chronic respiratory failure. During the period of this study, the clinical nurses were able to operate the tele-nursing system, but because the data collection period was short due to changes in the subject's condition and other factors, they were not able to build an AI. However, we were able to gain insight into the problems and adjustments that clinical nurses face when operating the tele-nursing system. In addition, we believe that we were able to gain important knowledge regarding the practical application of tele-nursing systems in clinical settings in the future.

Free Research Field

臨床看護

Academic Significance and Societal Importance of the Research Achievements

本研究を通して、臨床看護師が遠隔看護システムを運用する際の困りごとや調整事項について知見を得ることができた。また、今後の臨床現場における遠隔看護システムの実用化に関する重要な知見を得ることができた。これらの成果から、臨床現場における遠隔看護の運用上の課題と利点について明らかにすることができる。臨床看護師による実践能力を高めることで、患者はより適切に医療介入を受け、増悪を防ぐことができると考えた。