Literature DB >> 12908224

Robot-assisted surgery: the future is here.

Diana Gerhardus1.   

Abstract

According to L. Wiley Nifong, director of robotic surgery at East Carolina University's Brody School of Medicine, "Nationally, only one-fourth of the 15 million surgeries performed each year are done with small incisions or what doctors call 'minimally invasive surgery'." Robots could raise that number substantially (Stark 2002). Currently, healthcare organizations use robot technology for thoracic, abdominal, pelvic, and neurological surgical procedures. Minimally invasive surgery reduces the amount of inpatient hospital days, and the computer in the system filters any hand tremors a physician may have during the surgery. The use of robot-assisted surgery improves quality of care because the patient experiences less pain after the surgery. Robot-assisted surgery demonstrates definite advantages for the patient, physician, and hospital; however, healthcare organizations in the United States have yet to acquire the technology because of implementation costs and the lack of FDA (Food and Drug Administration) approval for using the technology for certain types of heart procedures. This article focuses on robot-assisted surgery advantages to patients, physicians, and hospitals as well as on the disadvantages to physicians. In addition, the article addresses implementation costs, which creates financial hurdles for most healthcare organizations; offers recommendations for administrators to embrace this technology for strategic positioning; and enumerates possible roles for robots in medicine.

Entities:  

Mesh:

Year:  2003        PMID: 12908224

Source DB:  PubMed          Journal:  J Healthc Manag        ISSN: 1096-9012


  9 in total

1.  Spotting malignancies from gastric endoscopic images using deep learning.

Authors:  Jang Hyung Lee; Young Jae Kim; Yoon Woo Kim; Sungjin Park; Youn-I Choi; Yoon Jae Kim; Dong Kyun Park; Kwang Gi Kim; Jun-Won Chung
Journal:  Surg Endosc       Date:  2019-02-04       Impact factor: 4.584

Review 2.  Minimally Invasive Surgery for the Treatment of Colorectal Cancer.

Authors:  W Konrad Karcz; William von Braun
Journal:  Visc Med       Date:  2016-06-08

3.  Robot-assisted and conventional urology surgical procedures: comparison of average length of stay, economic status, operative time and patient's expenditure in a tertiary care hospital of North India.

Authors:  Khalid Mehmood; Ranjana Singh; Ashok Kumar; A K Mandal
Journal:  J Robot Surg       Date:  2022-03-30

4.  Robotic invasion of operation theatre and associated anaesthetic issues: A review.

Authors:  Prem N Kakar; Jyotirmoy Das; Preeti Mittal Roy; Vijaya Pant
Journal:  Indian J Anaesth       Date:  2011-01

5.  Visual measurement of suture strain for robotic surgery.

Authors:  John Martell; Thomas Elmer; Nachappa Gopalsami; Young Soo Park
Journal:  Comput Math Methods Med       Date:  2011-02-24       Impact factor: 2.238

6.  Differentiation of the Follicular Neoplasm on the Gray-Scale US by Image Selection Subsampling along with the Marginal Outline Using Convolutional Neural Network.

Authors:  Jeong-Kweon Seo; Young Jae Kim; Kwang Gi Kim; Ilah Shin; Jung Hee Shin; Jin Young Kwak
Journal:  Biomed Res Int       Date:  2017-12-19       Impact factor: 3.411

Review 7.  Outcomes of robotic esophagectomy.

Authors:  Amy Young; José María Alvarez Gallesio; David B Sewell; Rebecca Carr; Daniela Molena
Journal:  J Thorac Dis       Date:  2021-10       Impact factor: 2.895

Review 8.  Robot-Assisted Surgery in Gynecology.

Authors:  Gayatri R Bankar; Ajay Keoliya
Journal:  Cureus       Date:  2022-09-15

9.  Pediatrics in 21st Century and Beyond.

Authors:  Meharban Singh
Journal:  Indian J Pediatr       Date:  2016-08-10       Impact factor: 1.967

  9 in total

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