There is a robust evidence-base for eoSim and SurgTrac. For both basic and advanced skills training. From multiple specialties and countries. Over 30 peer reviewed articles.
Here are highlights from recent papers (full references below):
SurgTrac metrics personalise training: “We analysed the largest database of simulated laparoscopic task performances (13,027 tasks undertaken by 578 users). Performance improves with practice. Using learning curves derived from peer-group performances as benchmarks, users may be regularly and objectively assessed to support personalisation of training.” Keni et al 2020.
Take-home simulator use improves skills in gynaecology trainees: “A take‐home box trainer simulation‐training program was associated with improvement in laparoscopic skills. This type of program may improve trainee access to simulation training.” Wilson et al 2018.
SurgTrac AR metrics validity: “The eoSim laparoscopic AR simulator is regarded as a realistic, accessible, and useful tool for the training of basic laparoscopic skills, with good face validity. Construct validity of the eoSim AR simulator was demonstrated on several core variables, but not all.” Arts et al 2019.
eoSim compares favourably with robotic devices: “The learning curve of minimally invasive suturing shows a shorter task time curve using robotic assistance compared to the laparoscopic curve. However, laparoscopic outcomes show good end results with rapid outcome improvement.” Leijte et al 2019.
eoSim helps validate paediatric surgical OA and CDH models: "The two low-cost, readily available models evaluated in this study are considered valid for training and suitable for residents, fellows, starting and more experienced paediatric surgeons. The minimally invasive anastomoses of an oesophageal atresia and closure of congenital diaphragmatic hernia can be practiced using these newly developed models." Bokkerink et al 2020.
eoSim helps identify barriers and facilitators to deliberate practice with take-home simulators: “Scheduled simulation sessions which provide trainees with the opportunity for consultant feedback may improve engagement. Tackling the ‘point-scoring’ culture is more challenging. This could be addressed by modified assessment structures, greater recognition and accountability for trainers, and recognition and funding of simulation strategies including in-house skills sessions.” Blackhall et al 2019.
The use of mobile computing devices in microsurgery. Pafitanis G, Hadjiandreou M, Miller R, Mason K, Theodorakopoulou E, Sadri A, Taylor K, Myers S. Arch Plast Surg. 2019 Mar;46(2):102-107. doi: 10.5999/aps.2018.00150. Epub 2019 Mar 31. PMID: 30934172; PMCID: PMC6446033.
Emotional visual stimuli and simulated laparoscopic surgical performance: A pilot cohort study. Andrew Keenlyside, Beatrice Rae, Paul M. Brennan, Mark A. Hughes. The Surgeon (2023). ISSN 1479-666X, https://doi.org/10.1016/j.surge.2023.06.004.
Objective assessment for open surgical suturing training by finger tracking can discriminate novices from experts. Vera Hillemans, Xander van de Mortel, Otmar Buyne, Bas H. Verhoeven & Sanne M.B.I. Botden. Medical Education Online (2023), 28:1, DOI: 10.1080/10872981.2023.2198818