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. 2021 Apr 22:2021:6668885.
doi: 10.1155/2021/6668885. eCollection 2021.

Nursing of Gastrointestinal Peristalsis Function Recovery after Abdominal Mirror Surgery for Rectal Cancer Patients Based on Intelligent Electronic Medicine

Affiliations

Nursing of Gastrointestinal Peristalsis Function Recovery after Abdominal Mirror Surgery for Rectal Cancer Patients Based on Intelligent Electronic Medicine

Yanyan Ding et al. J Healthc Eng. .

Retraction in

Abstract

In recent years, with the rapid development of colorectal surgery technology and laparoscopic instruments, laparoscopic radical resection of colorectal cancer has been widely used. Although laparoscopic surgery has the characteristics of small trauma, less blood loss, less hospitalization days, and low incidence of adverse reactions such as incision infection, it is still inevitable to have different degrees of gastrointestinal dysfunction after surgery. This paper mainly studies the recovery nursing of gastrointestinal peristalsis after abdominal mirror in rectal cancer patients based on intelligent electronic medicine. In this paper, an intelligent medical monitoring system is designed for the posterior care of rectal cancer patients with abdominal mirror image, which can realize the collection and transmission of wireless sign parameters of postoperative rectal cancer patients and improve the efficiency of postoperative monitoring in medical work. All parameter data are sent to the Lora base station in real time via Lora wireless communication, which is then uploaded to the medical monitoring platform. The experimental results showed that the first postoperative exhaust time of the treatment group using the intelligent medical monitoring system was significantly shortened, and the difference was statistically significant (P < 0.05). The first defecation time was shortened, and the difference was statistically significant (P < 0.05). The recovery time of total fluid diet was shortened, and the difference was statistically significant (P < 0.05). The above results indicate that the intelligent medical monitoring device designed in this paper has positive significance for improving the work efficiency of the hospital, the clinical experience of patients after abdominal mirror surgery for rectal cancer, and the real-time monitoring of signs of patients in intensive care.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
General block diagram of intelligent monitoring system.
Figure 2
Figure 2
The first exhaust time after operation in two groups.
Figure 3
Figure 3
Comparison of the first defecation time among the three groups.
Figure 4
Figure 4
The recovery time of full fluid diet in three groups after operation.
Figure 5
Figure 5
The NRS score of the three groups was 7 days after operation.
Figure 6
Figure 6
Comparison of postoperative gastrointestinal adverse reactions.
Figure 7
Figure 7
Comparison of postoperative gastrointestinal function scores.

References

    1. Francis N. K., Mason J., Salib E., et al. Factors predicting 30 day readmission after laparoscopic colorectal cancer surgery within an enhanced recovery programme. Colorectal Disease. 2015;17(7):O148–O154. doi: 10.1111/codi.13002. - DOI - PubMed
    1. Khan M., Pandey S. Clinical outcomes of the very elderly undergoing enhanced recovery programmes in elective colorectal surgery. The Annals of the Royal College of Surgeons of England. 2016;98(1):29–33. doi: 10.1308/rcsann.2015.0036. - DOI - PMC - PubMed
    1. Srinivasa K. G., Sowmya B. J., Shikhar A., Utkarsha R., Singh A. Data analytics assisted internet of things towards building intelligent healthcare monitoring systems: IoT for healthcare. Journal of Organizational and End User Computing. 2018;30(4):83–103.
    1. Wolf B., Scholze C. Medicine 4.0. Current Directions in Biomedical Engineering. 2017;3(2):183–186. doi: 10.1515/cdbme-2017-0038. - DOI - PMC - PubMed
    1. Elhoseny M., Bian G.-B., Lakshmanaprabu S. K., Shankar K., Singh A. K., Wu W. Effective features to classify ovarian cancer data in internet of medical things. Computer Networks. 2019;159:147–156. doi: 10.1016/j.comnet.2019.04.016. - DOI

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