SunSet: Scrub Nurse Non-technical Skills Training System
The SunSet project aims at developing a software suite based on immersive and collaborative virtual reality technology for training and evaluating non-technical skills. The project is implemented in the context of the training of scrub nurses specialized in neurosurgery. It integrates methods and systems developed in the S3PM project on procedural knowledge. By relying on Human Factors approaches, it addresses training and evaluation of interpersonal skills. Whereas the developed technologies and approaches are generic and adaptable to any surgical specialty, the project focuses on the evaluation of the developed system within training sessions performed with scrub nurses. The ambition of the project is double: to propose novel approaches for surgical non-technical skill learning and assessment, and to implement and install the developed training factory at the University Hospital of Rennes, and evaluate it with real scale user experiments. This will be ensured by:
- involving medical professionals from the early design stage of the project and for specifying the pedagogical content of the system, and
- developing a prototype of a surgical simulation system result from a strong engineering effort
Limitations of existing systems include costly and subjective human based training in sensitive clinical environments or non-realistic simulated environments, assessment of technical skills only, lack of quantitative metrics, lack of realistic scenarios, and lack of flexibility. To overcome these limitations, the SunSet project aims at proposing a new paradigm in surgical teaching and assessment of non-technical skills, at the same time it aims at reducing costs of teaching as well as improving quality of teaching.
The SunSet project proposes a software suite including 3 modules:
- SunSet Author is an authoring tool used by teachers to develop scenarios
- SunSet Training is the actual Virtual Reality (VR) based training system
- SunSet Eval is an evaluation tool for scoring performances of trainees
- MediCIS team from LTSI (UMR 1099 Inserm) has an extensive experience in Image Guided and Computer Assisted Neurosurgery, Augmented Reality, and Surgical Process Modeling. With additional expertise on ontologies and study of surgical skills, MediCIS provides to the project data and methods for studying and modeling surgical skills, and for specifying pedagogical content with SunSet Author. It also developes Sunset Eval tools and uses them in the evaluation of the training sessions.
- The department of neurosurgery at the University Hospital of Rennes (CHU) has a long history in research on computer-assisted surgery. The CHU brings to the project the mandatory support on pedagogical content as well as on clinical relevance of all developed methods and systems.As partners of the SunSet project they also participate in the creation of a future university degree on "Simulation Teaching" with their expertise on surgical skill teaching and evaluation.
- LP3C (E.A. 1285) is a multi-site research institute (Université Rennes 2, Université Bretagne-Sud et Université Bretagne Occidentale). With expertise on humanities approaches for studying environmental, organizational, job factors and human and individual characteristics which influence behavior at work in a way which affect health and safety, LP3C will bring to the project an important highlight on understanding and modeling the non-technical surgical skills within training environments.
- Hycomes team from Inria is specialized in hybrid systems modelling and contract-based design. In this project, Hycomes brings its expertises to study methods for computing and representing generic surgical process models from a population of individual descriptions of surgical procedures. These methods are used to construct scenarios embedded in the Virtual Reality (VR) based training system.
Hybrid is a research team created January 1, 2013 in Rennes, France, and hosted jointly at Inria and IRISA (UMR CNRS 6074). Hybrid members are affiliated with either Inria, INSA Rennes or University of Rennes 1. The scientific fields of Hybrid are Virtual Reality and 3D interaction with virtual environments. Hybrid research focuses on multiple user inputs, and intends to exploit both motor activity (motion-tracking) and mental activity (brain-computer interfaces). We want to create novel “body-based” and “mind-based” controls of virtual environments, and reach in both cases immersive and efficient 3D user interfaces. We also want to introduce a “hybrid approach” which will mix mental and motor activities in virtual reality. Hybrid applications are in the field of industry (virtual prototyping), medicine (surgical simulation, rehabilitation), design (architectural mock-ups), digital art, or videogames.