With the development of enhanced recovery after surgery (ERAS), major breakthroughs have been made in this field of study. However, the research fields still need to be continuously expanded to meet the needs of patients. The concept of precision therapy is widely applied in the field of nursing. Under the concept of ERAS, practical studies of applying precision nursing for the perioperative period have already been conducted, exploring such issues as precision nursing assessment, precision nursing intervention design, precision risk prediction model, and information technology to assist precision nursing practice. Research findings have preliminarily validated the safety and effectiveness of applying precision nursing for ERAS in the perioperative period. Herein, we reviewed the reported findings of relevant research published in recent years and identified the following problems in the implementation of precision nursing under the ERAS concept, a lack of implementation standards, challenges concerning the the role of nurses, a lack of high-quality research evidence in the existing literature, and a relevant big data processing platform that China does not have and therefore cannot carry out data sharing, integration, mining, and utilization. We also made suggestions for effective improvement and discussed research prospects. In the future, multidisciplinary collaboration, translational medical research, and the development of various innovative tools are to be strengthened to help improve the quality and effectiveness of nursing care. We hope to provide reference for improving the scientific and targeted implementation of precision nursing for ERAS in the perioperative period.
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http://dx.doi.org/10.12182/20230760503 | DOI Listing |
BMC Nurs
January 2025
School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100144, China.
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January 2025
National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan. Electronic address:
Adverse effects on the respiratory system were associated with intensive petroleum-related industrial activities. The study aimed to assess the impact of petrochemical exposure on childhood asthma using various surrogate indices. A singleton birth cohort from 2004 to 2017 was conducted, leveraging two linked nationwide databases in Taiwan.
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January 2025
Department of Biomedical Informatics, Institute for Biomedical Informatics, CHA University School of Medicine, Seongnam, Republic of Korea.
Tunis Med
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Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Morocco.
Sci Rep
January 2025
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, USA.
The integration of drug molecular representations into predictive models for Drug Response Prediction (DRP) is a standard procedure in pharmaceutical research and development. However, the comparative effectiveness of combining these representations with genetic profiles for DRP remains unclear. This study conducts a comprehensive evaluation of the efficacy of various drug molecular representations employing cutting-edge machine learning models under various experimental settings.
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