Yuan Xia, Wan Shenmin, Wang Wenshuo, Chen Yihong, Lin Ying
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Patient Prefer Adherence. 2024 Sep 30;18:2055-2066. doi: 10.2147/PPA.S471577. eCollection 2024.
Individualized anticoagulation therapy is a major challenge for patients after heart valve replacement. Mobile applications assisted by Artificial intelligence (AI) have great potential to meet the individual needs of patients. The study aimed to develop an AI technology-assisted mobile application (app) for anticoagulation management, understand patients' acceptance of such applications, and determine its feasibility.
After using the mobile application for anticoagulation management for 2 weeks, patients, doctors, and nurses rated its usability using the System Usability Scale (SUS). Additionally, semi-structured interviews were conducted with some patients, doctors, and nurses to gain insights about their thoughts and suggestions regarding the procedure.
The study comprised 80 participants, including 38 patients, 18 doctors, and 24 nurses. The average SUS score for patients was 82.37±5.45; for doctors, it was 84.17±5.82; and for nurses, it was 81.88±6.44. This means the patients, physicians, and nurses rated the app highly usable. Semi-structured interviews were conducted on the app's usability with 18 participants (six nurses, three physicians, and nine patients). The interview results revealed that patients found the application of anticoagulation management simple and convenient, with high expectations for a precise dosage recommendation of anticoagulant drugs. Some patients expressed concerns regarding personal information security. Both doctors and nurses believed that elderly patients needed assistance from young family members to use the app and that it could improve patients' anticoagulant self-management ability. Some nurses also mentioned that the use of the app brought great convenience for transitional care.
This study confirmed the feasibility of using an AI technology-assisted mobile application for anticoagulation management in patients after heart valve replacement. To further develop this application, challenges lie in continuously improving the accuracy of recommended drug doses, obtaining family support, and ensuring information security.
个体化抗凝治疗是心脏瓣膜置换术后患者面临的一项重大挑战。人工智能(AI)辅助的移动应用程序有很大潜力满足患者的个性化需求。本研究旨在开发一种用于抗凝管理的AI技术辅助移动应用程序(应用),了解患者对此类应用的接受程度,并确定其可行性。
在使用抗凝管理移动应用程序2周后,患者、医生和护士使用系统可用性量表(SUS)对其可用性进行评分。此外,还对部分患者、医生和护士进行了半结构化访谈,以了解他们对该程序的想法和建议。
该研究包括80名参与者,其中38名患者、18名医生和24名护士。患者的平均SUS评分为82.37±5.45;医生为84.17±5.82;护士为81.88±6.44。这意味着患者、医生和护士对该应用的可用性评价很高。对18名参与者(6名护士、3名医生和9名患者)进行了关于该应用可用性的半结构化访谈。访谈结果显示,患者认为抗凝管理应用简单方便,对抗凝药物精确剂量推荐寄予厚望。一些患者对个人信息安全表示担忧。医生和护士都认为老年患者需要年轻家庭成员的帮助才能使用该应用,并且它可以提高患者的抗凝自我管理能力。一些护士还提到,该应用的使用为过渡性护理带来了极大便利。
本研究证实了使用AI技术辅助移动应用程序对心脏瓣膜置换术后患者进行抗凝管理的可行性。为进一步开发此应用,挑战在于不断提高推荐药物剂量的准确性、获得家庭支持以及确保信息安全。