Evidence map›Paper›PMID 42182632›Full record

ArticleJournal of thoracic disease2026

Feasibility and acceptability of a smart healthcare cloud platform based on a standardized discourse form in the postoperative follow-up of patients with non-small cell lung cancer.

Zhe Wu, Guohua Wang, Zhiyuan Yao, Qiancheng Lu, Rongjian Xu, Tong Qiu, Wenxing Du, Xiao Sun, Enzheng Yu, Fengyi Han and 1 more

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Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zhe WuDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0001-6482-1359
Guohua WangDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zhiyuan YaoDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qiancheng LuDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Rongjian XuDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Tong QiuDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Wenxing DuDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xiao SunDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Enzheng YuDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Fengyi HanDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Wenjie JiaoDepartment of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smart healthcare systems and cloud platforms have been widely used in the field of medicine and healthcare, but it is rarely being applied in the field of postoperative follow-up. This study aimed to assess the feasibility and acceptability of a smart healthcare cloud platform based on a standardized discourse form in the postoperative follow-up of patients with non-small cell lung cancer (NSCLC). Methods: A smart healthcare cloud platform was established by designing a standardized discourse form, and constructing a follow-up database and a health education platform. A total of 608 postoperative patients with NSCLC treated between June 2021 and June 2022 were enrolled in the study, including 306 patients in the intervention group and 302 patients in the control group. The patients in the intervention and control groups were followed up by the cloud platform and outpatient department, respectively. At the end of the follow-up period, a satisfaction follow-up survey and the Short-Form (SF)-36 Health Survey were administered. Results: There were no statistically significant differences in the baseline characteristics of the patients between the two groups. After 12 months of follow-up, 74.5%, 24.2%, 1.3% and 0.0% of patients in the intervention group were "strongly satisfied", "satisfied", "unsatisfied", and "strongly unsatisfied", respectively, compared with 61.3%, 35.1%, 2.6%, and 1.0% of patients in the control group (P<0.001). The intervention group showed similar results to the control group across the SF-36 Health Survey domain scores (average: 67.79±13.99 Conclusions: The smart healthcare cloud platform based on a standardized discourse form can achieve positive satisfaction of patients with follow-up and does not affect the quality of life of patients. Thus, its application is feasible and acceptable in the postoperative follow-up of patients with NSCLC.

Indexed as

cloud platformfollow-up studynon-small cell lung cancer (NSCLC)quality of lifeSmart healthcare

Identifiers

PMID42182632
PMCPMC13189995

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.