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Poster Display session

392P - Integrating wearable devices and electronic patient reported outcomes for continuous perioperative monitoring: Novel evidence for enhanced recovery after thoracic surgery

Date

28 Mar 2025

Session

Poster Display session

Presenters

Runchen Wang

Citation

Journal of Thoracic Oncology (2025) 20 (3): S208-S232. 10.1016/S1556-0864(25)00632-X

Authors

R. Wang1, W. Guo2, H. Huang2, J. He3, H. Liang3

Author affiliations

  • 1 Guangzhou Medical University, Guangzhou/CN
  • 2 The First Affiliated Hospital of Guangzhou Medical University, Guangzhou/CN
  • 3 The 1st Affiliated Hospital of Guangzhou Medical University, Guangzhou/CN

Resources

This content is available to ESMO members and event participants.

Abstract 392P

Background

Minimally invasive thoracic surgery (MITS) has improved lung cancer outcomes but requires enhanced postoperative care. Traditionally episodic care model has limited timely and multidimensional monitoring of patients. Recent technological advances in multimodal digital devices, including wearable device and electronic patient reported outcomes (ePROs), offer a promising solution to these challenges. However, current studies focus on only a few parameters and limited application in thoracic surgery.

Methods

We included 288 non-small cell lung cancer (NSCLC) patients from the GMU cohort, which includes 2,757 participants with various lung diseases. Digital data were collected during hospitalization using a commercial smartwatch combined an electronic patient-reported outcomes (ePROs) questionnaire, while clinical data was obtained from electronic health record (EHR). Agreement between the digital device and EHR was evaluated via Bland-Altman analysis. Time-series data were normalized for continuous outlier monitoring and threshold analysis of ePROs scores was used to explore associations across different modules.

Results

Throughout hospitalization, digital devices provided a subjective overview of the patients’ recovery trajectories. Agreement analysis confirmed that wearable devices deliver accurate and clinically relevant measurement. Meanwhile, wearable devices demonstrate significant potential in outlier detection compared to episodic care model, offering accurate and sensitive monitoring of outliers between traditional measurement intervals. Using a thresholding method, we found that wearable metrics was correlated with the severity of ePROs.

Conclusions

These findings highlight the reliability and clinical potential of digital device-based multimodal system within the enhanced recovery after surgery (ERAS) framework, offering a novel approach for continuous perioperative monitoring.

Clinical trial identification

NCT06118229

Legal entity responsible for the study

H. Liang

Funding

Has not received any funding

Disclosure

All authors have declared no conflicts of interest.

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