Demand analysis of transitional care for patients undergoing minimally invasive cardiac interventions with AI-driven solutions: a mixed-methods approach

This integrated analysis highlights the significant care demands of MICI patients during the transition from hospital to home. Key recommendations include: (1) deploying AI-driven health monitoring, medication guidance, and symptom management systems, (2) designing personalized exercise and dietary tools, and (3) creating accessible, knowledge-based platforms for reliable medical information. In addition, comorbidity management, psychological support and financial transparency are areas that call for our attention. By aligning with these patient-centered demands and leveraging AI's capabilities, future transitional care interventions-particularly in China have the potential to address healthcare staffing constraints and improve patient outcomes. However, due to the limitations of our study, these insights require further validation and exploration.

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Publication Details

Journal
BMC Nursing
Published
2025-04-23
DOI
https://doi.org/10.1186/s12912-025-03037-5
Citations
3
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
4.16

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article

Demand analysis of transitional care for patients undergoing minimally invasive cardiac interventions with AI-driven solutions: a mixed-methods approach

Wanqing Lv, Yanqin Zheng, Sijia Li, Meihua Piao et al.
3 citations
BMC Nursing
Cardiac, Anesthesia and Surgical Outcomes
4.16
article

Demand analysis of transitional care for patients undergoing minimally invasive cardiac interventions with AI-driven solutions: a mixed-methods approach

Wanqing Lv, Yanqin Zheng, Sijia Li, Meihua Piao, Yeon Ho You, Jie Yu, Qiao Ma, Chen Zhang, Yi Liu, Jingjing Cao, Yuwen Liu, Qiutong Li
article en
3 citations

Abstract

This integrated analysis highlights the significant care demands of MICI patients during the transition from hospital to home. Key recommendations include: (1) deploying AI-driven health monitoring, medication guidance, and symptom management systems, (2) designing personalized exercise and dietary tools, and (3) creating accessible, knowledge-based platforms for reliable medical information. In addition, comorbidity management, psychological support and financial transparency are areas that call for our attention. By aligning with these patient-centered demands and leveraging AI's capabilities, future transitional care interventions-particularly in China have the potential to address healthcare staffing constraints and improve patient outcomes. However, due to the limitations of our study, these insights require further validation and exploration.

BMC NursingVol. 24(1)
Zhejiang International Studies University (CN), Hebei Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Hebei General Hospital (CN), Changzhou Third People's Hospital (CN), First Affiliated Hospital of Hebei Medical University (CN)
Chinese Academy of Medical Sciences
Openalex Percentile: Top 6%
Cardiac, Anesthesia and Surgical Outcomes
4.16
DOIOpen Access PDFOpenAlex
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