Use of the VIKOR method in the analysis of the training and function of the surgical nurse

Genesis Vanesa Montesdeoca Abad, Dámaris Micaela Ortiz Sánchez, Shirley Lizbeth Hidalgo Jaitia and Nairovys Gómez

Data and Metadata, 2024, vol. 3, .238

Abstract: The role of the surgical nurse is fundamental to ensure the correct execution of procedures in the operating room, ranging from initial preparation to closure of surgery. In preoperative preparation, the surgical nurse is responsible for maintaining sterility, verifying the operation of equipment, and preparing the operating table. Surgical instrumentation training, which varies by country, generally requires a bachelor's degree followed by a master's specialization to acquire the necessary skills. To optimize the role of surgical nurses, the VIKOR method, designed for multi-criteria decision making, was applied. This method helped select the best option considering various evaluation criteria such as technical competence, time management, problem solving and knowledge of protocols. The evaluation included a detailed analysis of the nurses' competence in different phases of surgery, resulting in a ranking that highlights the importance of continuous training in these criteria. The results indicated that the optimal performance of nurses during surgery is crucial for the success of surgical procedures, and the need to qualify nurses in the areas analyzed to improve their effectiveness in the operating room was identified

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:3:y:2024:i::p:.238:id:1056294dm2024238

DOI: 10.56294/dm2024.238

Access Statistics for this article

More articles in Data and Metadata from AG Editor
Bibliographic data for series maintained by Javier Gonzalez-Argote ().