A Systematic Review on Classification and Assessment of Surgical Skill Levels for Simulation-Based Training Programs

dc.contributor.author Tonbul, Gokcen
dc.contributor.author Topalli, Damla
dc.contributor.author Cagiltay, Nergiz Ercil
dc.contributor.other Information Systems Engineering
dc.contributor.other Software Engineering
dc.contributor.other 06. School Of Engineering
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-07-05T15:22:19Z
dc.date.available 2024-07-05T15:22:19Z
dc.date.issued 2023
dc.description Tonbul, Gokcen/0000-0002-5841-2708 en_US
dc.description.abstract Background: Nowadays, advances in medical informatics have made minimally invasive surgery (MIS) procedures the preferred choice. However, there are several problems with the education programs in terms of surgical skill acquisition. For instance, defining and objectively measuring surgical skill levels is a challenging process. Accordingly, the aim of this study is to conduct a literature review for an investigation of the current approaches for classifying the surgical skill levels and for identifying the skill training tools and measurement methods.Materials and Methods: In this research, a search is conducted and a corpus is created. Exclusion and inclusion criteria are applied by limiting the number of articles based on surgical education, training approximations, hand movements, and endoscopic or laparoscopic operations. To satisfy these criteria, 57 articles are included in the corpus of this study.Results: Currently used surgical skill assessment approaches have been summarized. Results show that various classification approaches for the surgical skill level definitions are being used. Besides, many studies are con-ducted by omitting particularly important skill levels in between. Additionally, some inconsistencies are also identified across the skill level classification studies.Conclusion: In order to improve the benefits of simulation-based training programs, a standardized interdisci-plinary approach should be developed. For this reason, specific to each surgical procedure, the required skills should be identified. Additionally, appropriate measures for assessing these skills, which can be defined in simulation-based MIS training environments, should be refined. Finally, the skill levels gained during the developmental stages of these skills, with their threshold values referencing the identified measures, should be redefined in a standardized manner. en_US
dc.identifier.doi 10.1016/j.ijmedinf.2023.105121
dc.identifier.issn 1386-5056
dc.identifier.issn 1872-8243
dc.identifier.scopus 2-s2.0-85161301665
dc.identifier.uri https://doi.org/10.1016/j.ijmedinf.2023.105121
dc.identifier.uri https://hdl.handle.net/20.500.14411/2181
dc.language.iso en en_US
dc.publisher Elsevier Ireland Ltd en_US
dc.relation.ispartof International Journal of Medical Informatics
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Surgical education en_US
dc.subject Simulation en_US
dc.subject Laparoscopy en_US
dc.subject Surgery en_US
dc.subject Endoscopy en_US
dc.subject Neurosurgery en_US
dc.title A Systematic Review on Classification and Assessment of Surgical Skill Levels for Simulation-Based Training Programs en_US
dc.type Review en_US
dspace.entity.type Publication
gdc.author.id Tonbul, Gokcen/0000-0002-5841-2708
gdc.author.institutional Topallı, Damla
gdc.author.institutional Çağıltay, Nergiz
gdc.author.scopusid 35300922400
gdc.author.scopusid 55698308700
gdc.author.scopusid 16237826800
gdc.author.wosid Tonbul, Gokcen/HNQ-9883-2023
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::review
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Tonbul, Gokcen] Atilim Univ, Grad Sch Nat & Appl Sci, Ankara, Turkiye; [Tonbul, Gokcen] Baskent Univ, Strategy & Technol Res Ctr, Ankara, Turkiye; [Topalli, Damla] Atilim Univ, Dept Comp Engn, Ankara, Turkiye; [Cagiltay, Nergiz Ercil] Atilim Univ, Dept Software Engn, Ankara, Turkiye; [Tonbul, Gokcen] Atilim Univ, Grad Sch Nat & Appl Sci, TR-06830 Ankara, Golbasi, Turkiye en_US
gdc.description.publicationcategory Diğer en_US
gdc.description.scopusquality Q1
gdc.description.startpage 105121
gdc.description.volume 177 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W4379347212
gdc.identifier.pmid 37290214
gdc.identifier.wos WOS:001016598800001
gdc.oaire.diamondjournal false
gdc.oaire.impulse 8.0
gdc.oaire.influence 2.8476161E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Humans
gdc.oaire.keywords Minimally Invasive Surgical Procedures
gdc.oaire.keywords Laparoscopy
gdc.oaire.keywords Computer Simulation
gdc.oaire.keywords Clinical Competence
gdc.oaire.keywords Simulation Training
gdc.oaire.popularity 8.486883E-9
gdc.oaire.publicfunded false
gdc.openalex.fwci 1.009
gdc.openalex.normalizedpercentile 0.5
gdc.opencitations.count 4
gdc.plumx.facebookshareslikecount 16
gdc.plumx.mendeley 35
gdc.plumx.newscount 1
gdc.plumx.pubmedcites 2
gdc.plumx.scopuscites 6
gdc.scopus.citedcount 6
gdc.wos.citedcount 6
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