Research progress in application of intelligent remote follow-up mode in hip and knee arthroplasty.
10.7507/1002-1892.202412071
- Author:
Yunhao TANG
1
;
Xin WANG
1
;
Wei CHAI
1
;
Fangyuan YU
1
Author Information
1. Senior Department of Orthopedics, the Fourth Medical Center of Chiness PLA General Hospital, Beijing, 100048, P. R. China.
- Publication Type:English Abstract
- Keywords:
Arthroplasty;
artificial intelligence;
follow-up studies;
remote patient monitoring;
smart wearable devices
- MeSH:
Humans;
Arthroplasty, Replacement, Knee/rehabilitation*;
Arthroplasty, Replacement, Hip/rehabilitation*;
Artificial Intelligence;
Follow-Up Studies;
Telemedicine
- From:
Chinese Journal of Reparative and Reconstructive Surgery
2025;39(3):375-383
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To review the research progress of intelligent remote follow-up modes in the application after hip and knee arthroplasty.
METHODS:Extensive literature on this topic published in recent years both domestically and internationally was reviewed, and the application of intelligent remote follow-up modes after hip and knee arthroplasty was summarized and analyzed.
RESULTS:The intelligent remote follow-up mode is a novel follow-up method based on network information technology. Patients who undergo hip and knee arthroplasty require long-term follow-up and rehabilitation guidance after operation. Traditional outpatient follow-up is relatively time-consuming and inconvenient for some patients in terms of travel and transportation, which makes the application of intelligent remote follow-up modes increasingly widespread worldwide. The inherent attributes of remote interaction and instant feedback of this mode make it particularly valued in the field of hip and knee arthroplasty. Artificial intelligence (AI)-based voice follow-up systems and virtual clinics have significant advantages in improving follow-up efficiency, reducing human resource costs, and enhancing patient satisfaction.
CONCLUSION:The existing intelligent follow-up system has formed a standardized protocol in remote follow-up and rehabilitation guidance. However, there are still shortcomings in the formulation of personalized rehabilitation plans and the gerontechnological adaptation of human-computer interaction. In the future, it is necessary to construct a multimodal data fusion platform and establish technical application guidelines for different rehabilitation stages.
