Abstract

Gastrointestinal surgery is currently a common gastrointestinal surgery in clinical practice. In recent years, the incidence of gastrointestinal diseases has gradually increased and increased as the lifestyle of modern people has developed and changed. Both physical health and quality of life have a serious impact. In the actual process, it was found that multiple links in operating room care may increase the risk of postoperative infections for patients. Therefore, this article proposes nursing in operating room based on simple virtual reality augmented technology. This article mainly studies the effect of nursing intervention on preventing gastrointestinal surgical incision infection, and hopes to provide help for preventing gastrointestinal surgical incision infection. In this trial, 80 patients with gastrointestinal surgery were randomly divided into two groups, each with 40 people. The experimental group was treated with an operating room nursing intervention combined with traditional treatment methods. Controls were treated with traditional nursing combined with traditional treatment, and both groups were analyzed for acceptance of nursing intervention in the operating room, poor mood, various indicator levels, postoperative complications, and postoperative incisional infections. The experiment proved that the postoperative rehabilitation indexes of the experimental group were better than those of the control group, the excellent rate of wound healing reached 92.5%, and the incidence of wound infection was only 5%, which was lower than that of the control group. This demonstrates that nursing intervention in the operating room can help to reduce the infection rate at the patient's incision site, increase the level of surgical indicators, promote healing of the incision site as quickly as possible, and significantly improve the safety of clinical treatment.

Highlights

  • Abdominal surgery is a common method of treatment of gastrointestinal diseases. is treatment method may cause various complications in patients after surgery

  • Endo comprehensively analyzed the clinical effects of operating room nursing intervention in preventing incision infection in patients undergoing gastrointestinal surgery and found that operating room nursing intervention is more ideal than conventional nursing mode [2]

  • We study the effect of nursing intervention in the operating room on preventing gastrointestinal surgical incision infection, analyzing the patient’s depression, anxiety, and other adverse emotional conditions, the patient’s postoperative complications, and surgical incision infection, revealing that operating room nursing intervention is effective in preventing stomach infections

Read more

Summary

Introduction

Abdominal surgery is a common method of treatment of gastrointestinal diseases. is treatment method may cause various complications in patients after surgery. With the continuous development and development of modern science and technology and the increasing maturity of medical technology, the diagnosis and treatment level of gastrointestinal surgery in our country has improved, and the prognosis of patients has improved Zhang believes that it can enhance patients’ positive attitude towards treatment and reduce anxiety, depression, and other negative emotions, so as to provide clinical reference for prolonging the survival time of cancer patients, improving the quality of life of patients and promoting the recovery of the disease [4]. E purpose of image preprocessing is to ensure the accuracy of the image input, make some folding changes, and coordinate transformations in the original image, or capture and enhance the image of a noisy image It mainly includes basic image editing functions, image mapping templates, image conversion, and export image feature sets, etc., pre-positioning, finding approximate overlapping areas, reducing the mapping range, and increasing speed. Different image stitching algorithms are different, the implementation steps of the panorama will be different, but the general process includes the above steps

Medical Image Enhancement Algorithm
Based on Questionnaire Data
Based on Test Data
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.