scholarly journals The Surgical Assistant Workstation (SAW) in Minimally-Invasive Surgery and Microsurgery

2010 ◽  
Author(s):  
Peter Kazanzides ◽  
Simon Dimaio ◽  
Anton Deguet ◽  
Balazs Vagvolgyi ◽  
Marcin Balicki ◽  
...  
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
3D Visualization ◽  
User Interaction ◽  
Computer Assisted Surgery ◽  
Skill Assessment ◽  
Computer Assisted ◽  
Surgical Skill Assessment ◽  
Robotic Devices

The Surgical Assistant Workstation (SAW) provides a modular, open-source software framework to support rapid prototyping of computer-assisted surgery systems, especially those that benefit from enhanced 3D visualization and user interaction. The framework includes a library of components that can be used to implement master-slave or collaborative robot control systems with support for complex video pipelines and a novel interactive surgical visualization environment. SAW includes standardized interface definitions (e.g., command names and payloads), with the goal of making the framework easily extensible so that developers can add support for their own robotic devices and associated hardware platforms. This paper presents an overview of the component-based architecture, followed by applications (use cases) in the areas of minimally-invasive surgery (MIS), microsurgery, and surgical skill assessment.

scholarly journals Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2666
Author(s):  
Renáta Nagyné Elek ◽  
Tamás Haidegger
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
Technical Skill ◽  
Skill Assessment ◽  
Error Statistics ◽  
Robot Assisted ◽  
Mental Load ◽  
Surgical Skill Assessment ◽  
Load Evaluation

BACKGROUND: Sensor technologies and data collection practices are changing and improving quality metrics across various domains. Surgical skill assessment in Robot-Assisted Minimally Invasive Surgery (RAMIS) is essential for training and quality assurance. The mental workload on the surgeon (such as time criticality, task complexity, distractions) and non-technical surgical skills (including situational awareness, decision making, stress resilience, communication, leadership) may directly influence the clinical outcome of the surgery. METHODS: A literature search in PubMed, Scopus and PsycNet databases was conducted for relevant scientific publications. The standard PRISMA method was followed to filter the search results, including non-technical skill assessment and mental/cognitive load and workload estimation in RAMIS. Publications related to traditional manual Minimally Invasive Surgery were excluded, and also the usability studies on the surgical tools were not assessed. RESULTS: 50 relevant publications were identified for non-technical skill assessment and mental load and workload estimation in the domain of RAMIS. The identified assessment techniques ranged from self-rating questionnaires and expert ratings to autonomous techniques, citing their most important benefits and disadvantages. CONCLUSIONS: Despite the systematic research, only a limited number of articles was found, indicating that non-technical skill and mental load assessment in RAMIS is not a well-studied area. Workload assessment and soft skill measurement do not constitute part of the regular clinical training and practice yet. Meanwhile, the importance of the research domain is clear based on the publicly available surgical error statistics. Questionnaires and expert-rating techniques are widely employed in traditional surgical skill assessment; nevertheless, recent technological development in sensors and Internet of Things-type devices show that skill assessment approaches in RAMIS can be much more profound employing automated solutions. Measurements and especially big data type analysis may introduce more objectivity and transparency to this critical domain as well. SIGNIFICANCE: Non-technical skill assessment and mental load evaluation in Robot-Assisted Minimally Invasive Surgery is not a well-studied area yet; while the importance of this domain from the clinical outcome’s point of view is clearly indicated by the available surgical error statistics.

scholarly journals An evidence-based review of enhanced recovery interventions in knee replacement surgery

2013 ◽  
Vol 95 (6) ◽  
pp. 386-389 ◽  
Author(s):  
MS Ibrahim ◽  
S Alazzawi ◽  
I Nizam ◽  
FS Haddad
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Knee Replacement ◽  
Invasive Surgery ◽  
Enhanced Recovery ◽  
Surgical Techniques ◽  
Cochrane Library ◽  
Computer Assisted ◽  
Evidence Based ◽  
Healthcare Budget

Introduction Total knee replacement (TKR) is a very common surgical procedure. Improved pain management techniques, surgical practices and the introduction of novel interventions have enhanced the patient’s postoperative experience after TKR. Safe, efficient pathways are needed to address the increasing need for knee arthroplasty in the UK. Enhanced recovery programmes can help to reduce hospital stays following knee replacements while maintaining patient safety and satisfaction. This review outlines common evidence-based pre, intra and postoperative interventions in use in enhanced recovery protocols following TKR. Methods A thorough literature search of the electronic healthcare databases (MEDLINE®, Embase™ and the Cochrane Library) was conducted to identify articles and studies concerned with enhanced recovery and fast track pathways for TKR. Results A literature review revealed several non-operative and operative interventions that are effective in enhanced recovery following TKR including preoperative patient education, pre-emptive and local infiltration analgesia, preoperative nutrition, neuromuscular electrical stimulation, pulsed electromagnetic fields, perioperative rehabilitation, modern wound dressings, different standard surgical techniques, minimally invasive surgery and computer assisted surgery. Conclusions Enhanced recovery programmes require a multidisciplinary team of dedicated professionals, principally involving preoperative education, multimodal pain control and accelerated rehabilitation; this will be boosted if combined with minimally invasive surgery. The current economic climate and restricted healthcare budget further necessitate brief hospitalisation while minimising costs. These non-operative interventions are the way forward to achieve such requirements.

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