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Clinical Medicine | Publishing Language: Chinese | Open Access

Intelligent cloud platform follow-up model improves joint range of motion and reduces follow-up costs after total knee arthroplasty: A retrospective cohort study

Shangwei YU1Ke ZENG1Ran XIONG2Liming LIU3( )Lin GUO1( )
Center of Sports Medicine, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing
Center of Joint Surgery, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing
Department of Orthopedics, Jiangbei Branch of First Affiliated Hospital of Army Medical University (Third Military Medical University), No.958 Hospital of PLA Army, Chongqing, China
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Abstract

Objective

To determine whether an intelligerct cloud platform follow-up model demonstrates superiority over conventional Methods in enhancing follow-up quality, reducing costs, and improving functional recovery following total knee arthroplasty(TKA).

Methods

A retrospective cohort study was conducted on 260 patients undergoing TKA at our hospital from October 2022 to September 2023. According to the different postoperative follow-up methods, they were divided int a cloud platform group (n=130) and a traditional group (n=130). The baseline data, pre- and postoperative knee function scores, and follow-up costs were collected and compared between the 2 groups.

Results

The cloud platform group exhibited significantly higher rate of follow-up satisfaction, reduced resource utilization, shorter per-follow-up duration, fewer accompanying persons per visit, lower total follow-up expenditures, and decreased cumulative follow-up time when compared with the traditional group (P<0.05). At 6 weeks, 3, 6, and 12 months postoperatively, better range of motion (ROM) was observed in the cloud-based group than the traditional group (P<0.05), but no intergroup differences were seen in other knee function scores.

Conclusion

Cloud platform follow-up enhances early postoperative ROM (6 weeks to 12 months) and demonstrates marked cost-effectiveness when compared to the conventional mode. It represents a viable alternative for post-TKA rehabilitation surveillance.

CLC number: R195.4; R473.6; R687.4 Document code: A

References

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Journal of Army Medical University
Pages 2763-2773

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Cite this article:
YU S, ZENG K, XIONG R, et al. Intelligent cloud platform follow-up model improves joint range of motion and reduces follow-up costs after total knee arthroplasty: A retrospective cohort study. Journal of Army Medical University, 2025, 47(22): 2763-2773. https://doi.org/10.16016/j.2097-0927.202508049

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Received: 18 August 2025
Revised: 13 November 2025
Published: 30 November 2025
© 2025 Journal of Army Medical University

This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).